purapddfinal100108 - jqa · in the paper mill there are boilers to produce process steam only. the...

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 1

CLEAN DEVELOPMENT MECHANISM PROJECT DESIGN DOCUMENT FORM (CDM-PDD)

Version 03 - in effect as of: 28 July 2006

CONTENTS A. General description of project activity B. Application of a baseline and monitoring methodology C. Duration of the project activity / crediting period D. Environmental impacts E. Stakeholders’ comments

Annexes Annex 1: Contact information on participants in the project activity Annex 2: Information regarding public funding Annex 3: Baseline information

Annex 4: Monitoring plan

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 2 SECTION A. General description of project activity A.1 Title of the project activity: Partial Fuel Switch from Coal to Biomass Residues in Boilers for Electricity and Heat Generation, Version number of the document: 01 This document is completed on 03 December 2007 A.2. Description of the project activity: Purpose of the project is to reduce the utilization of coal. Technology employed is the “chain grate” combustion system, in the baseline as well as in the project. The steam is utilized to produce electricity in the Power Plant, while in the Paper Mill it is used to produce process steam. The generated electricity is primarily used for own need, when there is an electricity surplus, it will be sold to the local utility (PT PLN (Persero)) grid. The partial replacement of coal by biomass residues (rice husk and saw dust) will result in the reduction of coal use since the output power is maintained at the same level. The reduction of coal use will also reduce the emission of Greenhouse Gas. The system has been installed and in operation since January 2006. PT. Pura Barutama, the owner of the project, is a well respected company in the region and always try to maintain to be a benign industry with respect to the environment. The reduction of utilization of coal which is imported from another island, Kalimantan, and at the same time utilizing the biomass residues available in the surrounding areas will help clean the environment. A.3. Project participants: Name of Parties involved((host) indicates a host party)

Private and/or public entities project participants (as applicable)

Kindly indicate if the Party involved wishes to be considered as project participant (Yes/No)

Republic of Indonesia (host) PT Pura Barutama No Japan New Energy and Industrial

Technology Development Organization

No

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 3 A.4. Technical description of the project activity: A.4.1. Location of the project activity: Location: The project is located in the city of Kudus, 50 km East of the city of Semarang,

Source: GoogleEarth A.4.1.1. Host Party(ies): Indonesia A.4.1.2. Region/State/Province etc.: Central Java A.4.1.3. City/Town/Community etc: Kudus A.4.1.4. Detail of physical location, including information allowing the unique identification of this project activity (maximum one page): PT.Pura Barutama is located in the city of Kudus, GPS position, 6o 49’ 58’’ S, 110o 49’ 13’’ E. Kudus can be reached on asphalted road from the provincial capital of Central Java, Semarang, to the east, or by

Pura Power Plant and Paper Mill

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 4 plane from Jakarta, the capital city of Indonesia, in less than one hour. Kudus is surrounded by agricultural paddy field, that produces rice husk in a continual manner at the rice mills established in the area. The rice husk is normally dumped nearby the mills and left to decay under mainly aerobic condition. The main activity of the company is the production of paper of many kinds, including security paper. The company generates its own electricity, and sometimes export electricity to the utility PLN. In the past electricity has been generated using domestic coal (sub-bituminous) as fuel, but in this project (started operation in January’2 nd 2006) the use of domestic coal is reduced in an effort to help reduce environmental pollution by their activities. The reduction of utilization of coal is reached by burning biomass residues, available in the surrounding area, together with the coal. Coal is procured locally available at the port near Semarang and Surabaya and transported by trucks to the project site, while the biomass residues are transported to the sites by smaller sized trucks. Historical development of the activity to go into CDM scheme is briefly documented below. a. in the beginning of the year 2005, the managing Director of PT. Pura Barutama learned about CDM from the media, after which he instructed the Plant Manager of Power Plant Division to collect more information about CDM. b. the findings were then presented to the BOD and had a meeting on them c. the decision of the BOD was for Power Plant and Paper Mill divisions to carry out a Feasibility Study for CDM, covering: boiler modification and other equipment, biomass storage, biomass survey in surrounding areas, investment cost, emission trading, etc. d. after studying the Feasibility Study in June 2005, the BOD agreed to implement the CDM Project which is financed by PT.Pura Barutama and instructed PT.Pura Barutama to carry it out. e. technical design and detailed drawings of Biomass Storage, Belt Conveyor, Hopper, and Biomass feeding system were made and in November 2005 fabrication and installation of equipment were completed. A.4.2. Category(ies) of project activity: This project belongs to the category of Large Scale CDM, since the estimated GHG emission reduction is above 60,000 tCO2/y. The sectoral scope is 04, manufacturing Industries. A.4.3. Technology to be employed by the project activity: The technology in the power plant is boiler, steam generator and extraction condensing turbine system. The combustion technology is of the “chain grate” type. This technology is imported from China with a “transfer of know how” program. The technology is proven with reference plant in China. The boiler is from “Wuxi Huaguang Boiler Co. Ltd, Wuxi, Jiangsu, China, and the design life time is 15 years, that is from 2006 to 2021. In the Paper Mill there are boilers to produce process steam only. The technology is Hamada Boiler, with design life time of 2017. The biomass residues combusted in the combustion chamber at the Power Plant is carried out at a temperature around 900 oC , and the flue gas leaves the stack through an Electrostatic Precipitator system, in the Power Plant case, at a temperature around 170 oC that guarantee that phenol will be in a gaseous

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 5 state, that is not condensed. In the case of the Paper Mill, a cyclone and a scraper cyclone are utilized, and the quality of the flue gas is regularly checked by an auditor company, PT. Sucofindo, in order to maintain the air quality. The combustion chamber’s temperature is around 700 oC, of the cyclone is around 300 oC, and of the flue gas is around 100 oC – 150 oC. This again indicates that phenol will be released in the gaseous state.

A.4.4 Estimated amount of emission reductions over the chosen crediting period: The proposed start of the crediting period is January 2008, and the end is December 2012. The project duration is 5 years. Therefore, the estimated GHG emission reduction is 70,028 tCO2/y x 5 y = 350,140 tCO2 for 5 years.

Years Annual estimation of emission reductions in tonnes of CO2e

Year 2008 40,850 Year 2009 70,028 Year 2010 70,028 Year 2011 70,028 Year 2012 70,028 Total estimated reduction (tonnes of CO2 e)

320,962

Total number of crediting years 5 (five) Annual average over the crediting period of Estimated reduction (tCO2)

70,028

A.4.5. Public funding of the project activity: Funding for the project does not utilize any of the public funding, but all is own fund. SECTION B. Application of a baseline and monitoring methodology B.1. Title and reference of the approved baseline and monitoring methodology applied to the project activity: Approved baseline and monitoring methodology applied in this project is AM 0036/Version 02: “Fuel switch from fossil fuels to biomass residues in boilers for heat generation” dated 10 August 2007. The methodology draws on 1) Tool for the demonstration and assessment of additionality (ver 04) and 2) Tool to determine methane emissions avoided from dumping waste at a solid waste dsposal site(ver 02). B.2 Justification of the choice of the methodology and why it is applicable to the project activity:

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 6 Following the guideline presented in AM 0036, version 02, the following is the condition of the project with respect to the approved methodology. This project meets the condition of scenario 1, Table 1 (Project activities eligible for use of this methodology), i.e., the retrofit of the existing boilers to be able to use biomass residues, which would not be technically possible in any of the existing boilers without a retrofit. In addition, the methodology is applicable under the following conditions:

A. The heat generated in the boiler(s) is • Not used for power generation; or • Used for power, where heat generated from the boilers, is not increased as a result of the project activity,

ie, a) site, the power generation capacity installed remains unchanged due to the

implementation of the project activity and this power generation capacity is maintained at the pre-project level throughout the crediting period; and

b) the annual power generation during the crediting period is not more than 10% larger than the highest annual power generation in the most recent three years prior to the implementation of the project activity.

B. The use of biomass residues or increasing the use of biomass residues beyond historical levels is technically not possible at the project site without a significant capital investment in • Either the retrofit or replacements of existing boilers or the installation of new boilers; • Or in a new dedicated biomass supply chain established for the purpose of the project (e.g. collecting and cleaning contaminated new sources of biomass residues that could otherwise not be used for energy purposes).

C. Existing boilers at the project site have used no biomass or have used only biomass residues (but no other type of biomass) for heat generation during the most recent three years2 prior to the implementation of the project activity.

D. No biomass types other than biomass residues, as defined above, are used in the boiler(s) during the crediting period (some fossil fuels may be co-fired);

E. For projects that use biomass residues from a production process (e.g. production of sugar or wood panel boards), the implementation of the project shall not result in an increase of the processing capacity of raw input (e.g. sugar, rice, logs, etc.) or in other substantial changes (e.g. product change) in this process;

F. The biomass residues used at the project site, site where the project activity is implemented, should not be stored for more than one year;

G. No significant energy quantities, except from transportation or mechanical treatment of the biomass residues, are required to prepare the biomass residues for fuel combustion, i.e. projects that process the biomass residues prior to combustion (e.g. esterification of waste oils) are not eligible under this methodology.

H. The biomass residues are directly generated at the project site or transported to the project site by trucks.

I. In case of project activities that involve the replacement or retrofit of existing boiler(s), all boiler(s) existing at the project site prior to the implementation of the project activity should be able to operate until the end of the crediting period without any retrofitting or replacement, i.e. the remaining technical lifetime of each existing boiler should at the start of the crediting period be larger than the duration of the crediting period (7 or 10 years as applicable). For the purpose of demonstrating this applicability condition, project participants should determine and document


the typical average technical lifetime of boilers in the country and sector in a conservative manner, taking into account common practices in the sector and country. This may be done based on industry surveys, statistics, technical literature, historical replacement records of boilers in the company, etc. The age of the existing boiler(s) and the average technical lifetime of boilers in the country and sector should be documented in the CDM-PDD.

J. Furthermore, this methodology is only applicable if the most plausible baseline scenario(s): For heat generation is either case H2 or case H5; and For the use of biomass residues is case B1, B2, B3, B4 and/or B5. If case B5 is the most

plausible scenario, the methodology is only applicable if: a) The plant where the biomass residues would be used as feedstock in the absence

of the project activity can be clearly identified throughout the crediting periods; and b) The fuels used as substitutes for the biomass residues at that plant can be

monitored by project participants. Condition of the project to comply with all of applicability conditions for this type of the project in the methodology, is as follows :

A. Sites of the project will remain the same as the historical sites, and power generated in this project will remain the same as it is in the historical condition,

B. The use of biomass residues is technically not possible in the historical condition without retrofitting and additional investment,

C. Existing boilers in the project have not used either biomass or biomass residues in the historical condition,

D. No biomass type other than biomass residues as defined in AM 0036, is used in the boilers. E. The utilization of the biomass residues in this project will not result in an increase in the

production capacity of the rice mills and wood processing activities, F. The biomass residues to be used in this project will not be stored on the project sites for more

than one year. G. The biomass residues to be utilized in this project will undergo transportation and mechanical

treatment only for the purpose of moving it, H. The biomass residues will be transported to the project sites by trucks, I. According to certified document from boiler supplier, the technical life time is approximately 10

years. These boilers in the project will run through the year 2017. J. In addition, for heat generation, the most plausible baseline scenario, is that in the absence of the

project activity, it would be “Continued operation of the existing boilers using the same fuel mix as in the past” (H2); while on the biomass residues, in the absence of the project, the scenario would be largely (B1), and a small portion in B3 and/or B4.

B.3. Description of the sources and gases included in the project boundary Project Boundary A On site: CO2 emission from fossil fuel burning in: boilers coal and biomass residues

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 8 B. Spatial extent of the project:

• Boilers and the related equipment at the site of the project. Summary of gases and sources included in the project boundary, and justification/explanation where gases and sources are not included, as follows:

Sources Gas Included Justification/Explanation CO2 Yes Main source

CH4 No Excluded for simplification. This makes it also conservative.

Fossil fuel combustion in boilers for heat

generation N2O No Excluded for simplification. This makes it also conservative.

CO2 No CO2 from an uncontrolled burning of biomass residues will be considered neutral.

CH4 No The biomass residues are basically open dumped, hence produces no CH4. Excluded.

Bas

elin

e

Uncontrolled burning or

decay of the biomass residues

N2O No Excluded for simplification, since it is believed to be very small.

CO2 Yes Main source

CH4 No Excluded for simplification; it is assumed to be very small.

On-site fossil fuel and

electricity consumption N2O No Excluded for simplification; it is

assumed to be very small. CO2 Yes Main source

CH4 No Excluded for simplification, it is assumed to be very small.

Off-site transportation

of biomass residues N2O No Excluded for simplification; it is

assumed to be very small.

CO2 No It is considered neutral since it is originated from biomass.

CH4 No Excluded for simplicity; it is assumed to be very small.

Combustion of biomass residues

N2O No Excluded for simplicity; it is assumed to be very small.

CO2 No

It is assumed that CO2 emission from surplus biomass residues do not lead to changes of carbon pools in the LULUCF sector.

CH4 No Excluded since the biomass residues is stored for not longer than one year.

Pr

ojec

t Act

ivity

Biomass storage

N2O No Excluded for simplicity, it is assumed to be very small.

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 9 B.4. Description of how the baseline scenario is identified and description of the identified baseline scenario: The baseline scenario was identified through the analysis of all realistic and credible alternatives to the project activity that are consistent with current laws and regulations. Realistic and credible alternatives should be separately determined for the following two components of the project activity: • Heat generation in the absence of the project activity; • What would happen to the biomass residues in the absence of the project activity; For heat generation, the alternatives are: STEP 1. Identification of alternative scenarios to the proposed CDM project activity that are consistent with current laws and regulations The H-matrix Index Options Consistent w.r.t. laws

and regulations (STEP 1)

H1 The proposed project activity not undertaken as a CDM project activity (heat generation with biomass residues)

Yes

H2 Continued operation of the existing boiler(s) using the same fuel mix or less biomass residues as in the past

Yes

H3 Continued operation of the existing boiler(s) using a different fuel (mix)

Yes

H4 Improvement of the performance of the existing boiler(s)

Yes

H5 Continued operation of the existing boiler(s) using the same fuel mix or less biomass residues as in the past AND installation of (a) new boiler(s) that is/are fired with the same fuel type(s) and the same fuel mix (or a lower share of biomass) as the existing boiler(s)

Yes

H6 Replacement of the existing boiler(s) with new boiler(s)

Yes

For the use of biomass residues, the alternatives are: The B matrix Index Options Consistent w.r.t. laws

and regulations B1 The biomass residues are dumped or left to decay under

mainly aerobic conditions. This applies for example, to dumping and decay of biomass

Yes


residues on fields Continued operation of the existing boiler(s) using the same fuel mix or less biomass residues as in the past AND installation of (a) new boiler(s) that is/are fired with the same fuel type(s) and the same fuel mix (or a lower share of biomass) as the existing boiler(s)

B2 The biomass residues are dumped or left to decay under

clearly anaerobic conditions. This applies, for example, to deep landfills with more than 5 meters. This does not apply to biomass residues that are stocked piled or left to decay on fields

Yes

B3 The biomass residues are burnt in an uncontrolled manner without utilizing them for energy purposes.

Yes

B4 The biomass residues are sold to other consumers in the market and the predominant use of the biomass residues in the region/country is for energy purposes (heat and/or power generation)

Yes

B5 The biomass residues are used as feedstock in a process (e.g. in the pulp and paper industry)

Yes

B6 The biomass residues are used as fertilizer Yes B7 The proposed project activity not undertaken as a CDM

project activity (use of the biomass residues for heat generation)

Yes

B8 Any other use of the biomass residues NA STEP 2. Barrier analysis to eliminate alternatives to the project activity that face prohibitive barriers a. Heat generation will experience barriers: H1 Heat generation utilizing biomass residues not undertaken as a CDM project. This option will not

be likely an attractive option, for the utilization of biomass in the existing boilers, while it will reduce the use of coal, it will require a retrofit for biomass residues feeding that requires extra cost. Here the CDM revenue is expected to help return the investment faster. There is no law or regulation that prohibits this kind of retrofit works.

H2 Continued operation of the existing boilers using the same fuel mix. This option represents the current activities using coal only. This option will cost no additional investment, but will not reduce the utilization of coal. This practice is not prohibited by any laws in the country.

H3 Continued operation of the existing boilers with different fuel mix. Choices are: coal and natural gas, coal and diesel oil, and coal and biomass residues. Coal mixed with natural gas will pose very difficult problems in fuel supply, since it will require piping installation for gas transport, which is beyond the control of the project owner. Coal mixed with diesel oil, is not an attractive action because the price of oil has been determined to go higher beyond the current subsidized price to reach its economic value. This practice of utilizing diesel oil in heat and power generation is not prohibited in the country. Coal mixed with biomass residues is an option which is workable, due to the availability of the biomass residues at an affordable price at not too long a distance


from the project sites. Transporting biomass residues from where it is now dumped and burning it in the existing boilers as fuel mix is not prohibited by any law in the country.

The H-matrix Index Options Barrier analysis H1 The proposed project activity not

undertaken as a CDM project activity (heat generation with biomass residues)

Outside infrastructure required

Investment

Technology

Prevailing practice

No Yes Yes Retrofit of boilers

No

H2 Continued operation of the

existing boiler(s) using the same fuel mix or less biomass residues as in the past


Investment

Technology

Prevailing practice

No No No No H3 Continued operation of the

existing boiler(s) using a different fuel (mix):

(ア) coal and biomass residues

(イ) coal and diesel

oil c. coal and gas


Investment

Technology

Prevailing practice

No NA, GHG emissions will not be significantly abated Yes The subsidized price of diesel oil will be raised to its economic value NA, there is no gas pipeline installed in the area

Yes Yes GHG emissions will not be significantly abated NA, there is no gas pipeline installed in the area

Yes Retrofit of boilers Yes GHG emissions will not be significantly abated Retrofit of boilers NA, there is no gas pipeline installed in the area Retrofit of boilers

No No No


H4 Improvement of the performance of the existing boiler(s)


Investment

Technology

Prevailing practice

NA the issue is the reduction of coal use




H5 Continued operation of the existing boiler(s) using the same fuel mix or less biomass residues as in the past AND installation of (a) new boiler(s) that is/are fired with the same fuel type(s) and the same fuel mix (or a lower share of biomass) as the existing boiler(s)


Investment

Technology

Prevailing practice

NA, the issue is the reduction of coal use




H6 Replacement of the existing boiler(s) with new boiler(s)


Investment

Technology

Prevailing practice





Barriers caused by the outside infrastructure cannot be overcome since it is beyond the PT. Pura Barutama’s jurisdiction; hence H3b and H3c are out of the options. Hence, activities which are not prohibited by laws and regulations, and not having a prohibitive barrier, are H2, and H3a. The objective of the proposed project, that is to reduce coal consumption, can be achieved through: Coal mixed with biomass residues (H3a) yet H3a is prevented by investment and technology barriers. H2 is the activity which faces no barrier at all; this corresponds to the baseline activities (H2). b. Treatment undertaken by the biomass residues in the presence of the project: B1 The biomass residues are dumped and left to decay under mainly aerobic condition. This

represents the current practice. There is no law which is against this practice. But due to the utilization in the project, these biomass residues will not be left to decay in an aerobic condition.

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 13 B3 The biomass residues are burnt in an uncontrolled manner without utilizing them for energy

purposes. This possibility is very small, even though it is not prohibited by laws. B4 The biomass residues are sold to other consumers in the market and the predominant use of the

biomass residues in the region/country for energy purposes (heat and or power generation). This mode of disposal of the biomass residues can happen elsewhere in the country, but specifically for the source that is going to be utilized in this project it is already committed to this project. There is no law against using biomass residues for energy generation in the country.

B5 The biomass residues are used as feedstock in a process. This mode of disposal of biomass residues may happen elsewhere in the country, but this particular source of biomass residues has been committed to this project. There is no law against using biomass residues for feedstock in the country.

B6 The biomass residues are used as fertilizer. This mode of biomass residues disposal may happen elsewhere in the country, but this particular source of biomass residues has been committed to this project. There is no law against using biomass residues as fertilizer.

The B matrix Index Options Barrier analysis B1 The biomass residues are dumped

or left to decay under mainly aerobic conditions. This applies for example, to dumping and decay of biomass residues on fields Continued operation of the existing boiler(s) using the same fuel mix or less biomass residues as in the past AND installation of (a) new boiler(s) that is/are fired with the same fuel type(s) and the same fuel mix (or a lower share of biomass) as the existing boiler(s)


Investment Technology

Prevailing practice

No No No No

B2 The biomass residues are dumped or left to decay under clearly anaerobic conditions. This applies, for example, to deep landfills with more than 5 meters. This does not apply to biomass residues that are stocked piled or left to decay on fields


Investment Technology Prevailing practice

No Yes Yes No

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 14 B3 The biomass residues are burnt in

an uncontrolled manner without utilizing them for energy purposes.



No No No No B4 The biomass residues are sold to

other consumers in the market and the predominant use of the biomass residues in the region/country is for energy purposes (heat and/or power generation)



No No No No

B5 The biomass residues are used as feedstock in a process (e.g. in the pulp and paper industry)



No No No No B6 The biomass residues are used as

fertilizer Outside infrastructure required


No No No No B7 The proposed project activity not

undertaken as a CDM project activity (use of the biomass residues for heat generation)



No Yes Yes No B8 Any other use of the biomass

residues Outside infrastructure required


NA NA NA NA From the table above it is shown that none of the activities in biomass residues, except B2 and B8, which are not prohibited by laws and regulations will experience prohibitive barriers. In summary, there are several alternatives available to the biomass residues owners for their disposal, but the presence of the contract owned by PT Pura Barutama assures the availability of the biomass residues to the project. This CDM project is identified by: coal mixed with biomass residues and biomass residues supply contract between the biomass residues providers and PT Pura Barutama. Therefore, combining heat generation and biomass residues activities, it is concluded that either B1, B3, B4. B5, and B6 can be combined with H2 to form the baseline scenario. This project’s baseline scenario is H2 and B1. Combined activity H3a and B3 is a new activity, not the baseline activity. This represents the project. STEP 3. Investment analysis (optional)

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 15 PT Pura Barutama has specific requirements in terms of return on investment of a proposed project in order to approve the project. Any project has to meet a minimum of 17-20 % IRR for approval. The IRR without the sales of CER is below 15%. The project activity doesn’t meet this IRR requirement without the revenue of the sales of CER. As shown in the analysis done above, the chosen baseline scenario is:

A. For heat generation, it will be a continued operation of the existing boilers utilizing coal (H2); B. For use of biomass residues: The biomass residues are dumped on fields and left to decay under

mainly aerobic condition (B1); C. Sometimes, the biomass residues are burnt in an uncontrolled manner without utilizing them for

energy purposes (B3); D. CH4 emission avoided in the project will not be included; E. Excess of electricity is exported to the utility, PLN branch, at the rate of around 3,000

MWh/month as it was in the past. B.5. Description of how the anthropogenic emissions of GHG by sources are reduced below those that would have occurred in the absence of the registered CDM project activity (assessment and demonstration of additionality): Additionality (Tool for the demonstration and assessment of additionality, version 04) The project activity has started during January 2006. The CDM was seriously considered in the decision to proceed with the project activity. Such evidence is available in the form of the minutes of meeting of the Board of Directors. This evidence will be made available to the DOE. The Project activity will result in the reduction of greenhouse gas emissions that would not occur if the Project was not implemented. The numerous barriers and risks associated with the implementation of the proposed Project activity are identified below. Additionality is demonstrated using the “Consolidated tool for demonstration of additionality (ver 4)”, according to AM0036. This tool for assessing additionality follows a step-based approach. Demonstration of the additionality of the project activity is shown below. Step 1 Identification of alternatives to the project activity consistent with current law and regulations A possible set of alternative is drawn up which will be there in the absence of the CDM activity. Realistic and credible alternatives have been separately determined in section B4 for the following two components of the project activity: • Heat generation in the absence of the project activity; • What would happen to the biomass residues in the absence of the project activity; For Heat generation: H1:Heat generation utilizing biomass residues not undertaken as a CDM project.

H2:Continued operation of the existing boilers using the same fuel mix. H3a, b, c: Continued operation of the existing boilers with different fuel mix. H4:Improvement of the performance of the existing boilers.

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 16 H5:Continued operation of existing boiler and installation of Additional boilers. H6:Replacement of existing boilers. After considering the specific condition of this project, Alternative scenario for heat generation are: H2, and H3a. ForH1, H3b,c, H4, H5, H6, those are not the option for some reasons: the boiler performance is close to the design performance; investment cost for installation of additional boilers or replacement of existing boiler is excessive; current operation of boiler is below full capacity; existing boiler has an expected lifetime of 10 years. Since H2 represents the current activity, this project will correspond to H3a. For biomass residues: B1:The biomass residues are dumped and left to decay under mainly aerobic condition. B2:The biomass residues are dumped or left to decay under clearly anaerobic condition B3:The biomass residues are burnt in an uncontrolled manner without utilizing them for energy purposes. B4:The biomass residues are sold to other consumers in the market and the predominant use of the biomass residues in the region/country for energy purposes (heat and or power generation) B5: The biomass residues are used as feedstock in a process B6: The biomass residues are used as fertilizer. In the absence of the project activities the biomass residues could undergo the following treatment: B1, B3, B4, B5, B6. B2 is not very likely to happen, for some reasons, among other things: there is no requirement to do so, and it is not a common practice in the country while it requires much more effort and investment money. From the table above it is shown that none of the activities in biomass residues which are not prohibited by laws and regulations will experience prohibitive barriers. Combining heat generation and biomass residues activities, it is concluded that either B1, B3, B4. B5, and B6 can be combined with H2 to form the baseline scenario. This project’s baseline scenario is H2 and B1. The project activity (CDM) is the other option corresponding to H3a and biomass residues to be supplied under a contract. It is shown that this project is not the baseline activity. Step 2 Investment analysis As shown in section B4, PT Pura Barutama has specific requirements in terms of return on investment of a proposed project in order to approve the project. Any project has to meet a minimum of 17-20 % IRR for approval. The IRR without the sales of CER is below 15%. The project activity doesn’t meet this IRR requirement without the revenue of the sales of CER. Step 3 Barrier analysis

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 17 As showed above, the proposed project activity faces barriers that prevent the implementation of this type of proposed project activity; and that do not prevent the implementation of at least one of the alternatives. In summary, the are several alternatives available to the biomass residues owners for their disposal, but the presence of the contract with PT Pura Barutama assures the availability of the biomass residues to the project. This CDM project is identified by: coal mixed with biomass residues and biomass residues supply contract between the biomass residues providers and PT Pura Barutama. Therefore, combining heat generation and biomass residues activities, it is concluded that either B1, B3, B4. B5, and B6 can be combined with H2 to form the baseline scenario. This project’s baseline scenario is H2 and B1, while the project itself is a combination of H2 and “ a contracted supply of biomass residues”. Step 4 Common practice analysis Utilization of biomass residues is also practiced in agricultural estates, in which the residues originate from their own activities, such as sugar mills, palm oil mills. The technology applied usually the Stocker burner with manual feeding with a relatively low efficiency. The primary purpose is to get rid of the solid waste. The use of biomass residues by a manufacturing industry for heat and electricity generation is relatively new, for it requires an efficient and economically feasible activity. While boilers for the agricultural estates can now be manufactured in the country, utility boilers are still imported. The utilization of biomass residues mixed with coal in this project is not a copy of another project known to them in the country or in the region, but on own curiosity and ingenuity. Step 5 Impact of CDM registration (this is not required in version 03). The impact of the project if it is registered as a CDM project are, among other things,

a. creation of an extra revenue for the project owner that will help speed up the return on the investment,

b. creation of new jobs for the local people as well as for the people from the surrounding areas, such as working at PT Pura Barutama, carry their own business of transportation related to the project’s activities, added value given to the biomass residues,

c. social services provided by PT.Pura Barutama as part of their Corporate Social Responsibility (CSR), such as lighting for the community, drinking water provision, tree planting to increase water reception, etc.

d. the reduction of Greenhouse Gases emitted in their daily activities,. This project employs a technology imported from China, and if it proves to be efficient and economically feasible, it is expected that it will become an example to other industries for replication. B.6. Emission reductions:


B.6.1. Explanation of methodological choices: The emission reduction is calculated in accordance with AM 0036/Version 02

B.6.2. Data and parameters that are available at validation: B.6.2.1. Data and parameters not monitored A. GENERAL B. POWER PLANT 2 x 7.5 MW Data / Parameter: ηboiler,Coal,PP Data unit: % Description: Average net efficiency of heat generation in the boilers at Power Plant when

fired with coal Source of data: Measured efficiency prior to the implementation of the project activity Value applied: 70 Justification of the choice of data or description of measurement methods and procedures actually applied:

-

Any comment: - Data / Parameter: FCCoal,PP,2006 ; FCCoal,PP,2005 ; FCCoal,PP,2004 Data unit: kg Description: Quantity of coal fired in all boilers at Power Plant during the year 2006, 2005

and 2004 Source of data: On site measurements Value applied: FCCoal,PP,2006 = 126,362,000

FCCoal,PP,2005 = 102,504,600 FCCoal,PP,2004 = 7,046,000

Justification of the choice of data or description of measurement methods and procedures actually applied:

-

Any comment: - C. PAPER MILL

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 19 Data / Parameter: ηboiler,Coal,PM Data unit: % Description: Average net efficiency of heat generation in the boiler at Paper Mill when fired

with coal Source of data: Measured efficiency prior to the implementation of the project activity Value applied: 64 Justification of the choice of data or description of measurement methods and procedures actually applied:

-

Any comment: - Data / Parameter: FCCoal,PM,2006 ;FCCoal,PM,2005 ; FCCoal,PM,2004 Data unit: kg Description: Quantity of coal fired in all boilers at Paper Mill during the year 2006, 2005 and

2004 Source of data: On site measurements Value applied: FCCoal,PM,2006 = 8,624,529

FCCoal,PM,2005 = 8,997,610 FCCoal,PM,2004 = 7,948,680

Justification of the choice of data or description of measurement methods and procedures actually applied:

-

Any comment: - B.6.2.2. Data and parameters monitored A. GENERAL Data / Parameter: EFCoal,CO2,2006 Data unit: tCO2/TJ Description: CO2 emission factor of Sub-Bituminous coal displaced by rice husk and saw

dust for the year 2006 Source of data: The 2006 IPCC Guidelines for National Greenhouse Gas Inventories Value applied: 96.07

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 20 Justification of the choice of data or description of measurement methods and procedures actually applied:

This is in accordance with the AM 0036 version 02

Any comment: -

Data / Parameter: EFkm,CO2,Coal, 2006 Data unit: tCO2/km Description: Average CO2 emission factor per km of ADO (Automotive Diesel Oil) for the

trucks loaded coal during the year 2006 Source of data: Default value of the return trip distance for coal and the 2006 IPCC Guidelines

for National Greenhouse Gas Inventories Value applied: 0.000762 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: For the distance traveled, use the amount of AVDCoal,PP,2006 / AVDCoal,PM,2006

Data / Parameter: EFkm,CO2,RH&SD,2006 Data unit: tCO2/km Description: Average CO2 emission factor per km of ADO (Automotive Diesel Oil) for the

trucks loaded rice husk and saw dust during the year 2006 Source of data: The average return trip distance for rice husk and saw dust and the 2006 IPCC

Guidelines for National Greenhouse Gas Inventories Value applied: 0.000444 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: For the average return trip distance for rice husk and saw dust, use the amount of AVDRH,PP,2006 / AVDSD,PP,2006 / AVDRH,PM,2006 / AVDSD,PM,2006

B. POWER PLANT 2 x 7.5 MW Data / Parameter: HGPJ,total,PP,2006 Data unit: kcal/yr

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 21 Description: Total heat generated in all boilers at the project site, firing rice husk, saw dust

and coal, during the year 2006 Source of data: On-site measurements Value applied: 678,443,179,500 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: FCCoal,PP,2006 Data unit: kg Description: Quantity of coal fired in all boilers at the Power Plant during the year 2006 Source of data: On-site measurements Value applied: 126,362,000 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: BFRH,PP,2006 Data unit: kg of dry matter Description: Quantity of rice husk fired in all boilers at Power Plant during the year 2006 Source of data: On-site measurements Value applied: 29,507,374 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: BFSD,PP,2006 Data unit: kg of dry matter Description: Quantity of saw dust fired in all boilers at Power Plant during the year 2006 Source of data: On-site measurements Value applied: 6,083,445 Justification of the This is in accordance with the AM 0036 version 02

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 22 choice of data or description of measurement methods and procedures actually applied: Any comment: -

Data / Parameter: NCVCoal,PP,2006 Data unit: kcal/kg Description: Net caloric value of Sub-Bituminous coal delivered to Power Plant in year 2006Source of data: Measurements at a reputed laboratory “Sucofindo” Value applied: 4,500 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: NCVRH,PP,2006 Data unit: kcal/kg Description: Net caloric value of rice husk delivered to Power Plant during the year 2006 Source of data: On-site measurements at internal laboratory of Power Plant Value applied: 3,000 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: NCVSD,PP,2006 Data unit: kcal/kg Description: Net caloric value of saw dust delivered to Power Plant during the year 2006 Source of data: On-site measurements at internal laboratory of Power Plant Value applied: 3,500 Justification of the choice of data or description of measurement methods and procedures actually applied:


PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 23 Any comment: -

Data / Parameter: MCRH,PP Data unit: % of water content Description: Moisture content of rice husk delivered to Power Plant during the year 2006 Source of data: On-site measurements by internal moisture meter Value applied: Max. 15% Justification of the choice of data or description of measurement methods and procedures actually applied:

-

Any comment: -

Data / Parameter: MCSD,PP Data unit: % of water content Description: Moisture content of saw dust delivered to Power Plant during the year 2006 Source of data: On-site measurements by internal moisture meter Value applied: Max. 15% Justification of the choice of data or description of measurement methods and procedures actually applied:

-

Any comment: -

Data / Parameter: NCoal,PP,2006 Data unit: Trips Description: Number of trips of truck loaded coal to Power Plant during the year 2006 Source of data: On-site measurements Value applied: 6,327 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: NRH,PP,2006 Data unit: Trips

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 24 Description: Number of trips of truck loaded rice husk to Power Plant during the year 2006 Source of data: On-site measurements Value applied: 8,907 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: NSD,PP,2006 Data unit: Trip Description: Number of trips of truck loaded saw dust to Power Plant during the year 2006 Source of data: On-site measurements Value applied: 1,694 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: TLCoal,PP,2006 Data unit: kg Description: Average truck load of the trucks used for coal to Power Plant during the year

2006 Source of data: On-site measurements Value applied: 19,970 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: TLRH,PP,2006 Data unit: kg Description: Average truck load of the trucks used for rice husk to Power Plant during the

year 2006 Source of data: On-site measurements Value applied: 3,313

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 25 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: TLSD,PP,2006 Data unit: kg Description: Average truck load of the trucks used for saw dust to Power Plant during the

year 2006 Source of data: On-site measurements Value applied: 3,592 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: AVDCoal,PP,2006 Data unit: km Description: The return trip distance (from and to) between coal supply site and Power Plant

site during the year 2006 Source of data: On-direct measurement dated 27 March 2007 Value applied: 100 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: AVDRH,PP,2006 Data unit: km Description: The average return trip distance (from and to) between every rice husk supply

sites and Power Plant site during the year 2006 Source of data: Estimation on return trip distance between every rice husk supply sites and

Power Plant in Kudus Value applied: 100 Justification of the This is in accordance with the AM 0036 version 02

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 26 choice of data or description of measurement methods and procedures actually applied: Any comment: The average returned trip distance between every rice husk supply sites and

Power Plant site: - Demak – Kudus = 50 km - Purwodadi – Kudus = 60 km - Undaan – Kudus = 20 km - Sragen – Kudus = 240 km

Based on the data in 2006, the average return trip distance = 65 km For the calculation of Project Emission, the amount of 100 km is adopted as the default value. If the average return trip distance from monitoring > 100 km, then the average return trip distance from monitoring will be used for the calculation

Data / Parameter: AVDSD,PP.2006

Data unit: km Description: The average return trip distance (from and to) between every saw dust supply

sites and Power Plant site during the year 2006 Source of data: Estimation on return trip distance between every saw dust supply sites and

Power Plant in Kudus Value applied: 100 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: The average returned trip distance between every saw dust supply sites and Power Plant site :

- Demak – Kudus = 50 km - Semarang – Kudus = 100 km - Kendal – Kudus = 150 km

Based on the data in 2006, the average return trip distance = 85 km For the calculation of Project Emission, the amount of 100 km is adopted as the default value. If the average return trip distance from monitoring > 100 km, then the average return trip distance from monitoring will be used for the calculation

Data / Parameter: PORH,PP,2006 Data unit: - Description: Demonstration that the rice husk for boilers in Power Plant from specific

sources would continue not to be utilized to other purposes during the year 2006Source of data: Information from Power Plant concerning the Purchase Order of rice husk to its

suppliers during the year 2006 Value applied: - Justification of the This is in accordance with the AM 0036 version 02

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 27 choice of data or description of measurement methods and procedures actually applied: Any comment: -

Data / Parameter: POSD,PP,2006 Data unit: - Description: Demonstration that the saw dust for boilers in Power Plant from specific

sources would continue not to be utilized to other purposes during the year 2006Source of data: Information from the site where the biomass is generated Value applied: - Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

C. PAPER MILL Data / Parameter: HGPJ,total,PM,2006 Data unit: kcal/yr Description: Total heat generated in boiler at the Paper Mill, firing rice husk and coal, during

the year 2006 Source of data: On-site measurements Value applied: 55,845,430,800 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: FCCoal,PM,2006 Data unit: kg Description: Quantity of coal fired in boiler at the Paper Mill during the year 2006

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 28 Source of data: On-site measurements Value applied: 8,624,529 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: BFRH,PM,2006 Data unit: kg of dry matter Description: Quantity of rice husk in boiler at Paper Mill during the year 2006 Source of data: On-site measurements Value applied: 3,665,960 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: NCVCoal,PM,2006 Data unit: kcal/kg Description: Net caloric value of Sub-Bituminous coal delivered to Paper Mill in year 2006 Source of data: Measurements at a reputed laboratory Value applied: 5,200 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: NCVRH,PM,2006 Data unit: kcal/kg Description: Net caloric value of rice husk delivered to Paper Mill during the year 2006 Source of data: Measurements at internal laboratory of Power Plant Value applied: 3,000 Justification of the choice of data or description of


PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 29 measurement methods and procedures actually applied: Any comment: -

Data / Parameter: MCRH,PM Data unit: % of water content Description: Moisture content of rice husk delivered to Paper Mill Source of data: On-site measurements by internal moisture meter Value applied: Max. 15% Justification of the choice of data or description of measurement methods and procedures actually applied:

-

Any comment: -

Data / Parameter: NCoal,PM,2006 Data unit: Trip Description: Number of trips of truck loaded coal to Paper Mill during the year 2006 Source of data: On-site measurements Value applied: 388 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: NRH,PM,2006 Data unit: Trip Description: Number of trips of truck loaded rice husk to Paper Mill during the year 2006 Source of data: On-site measurements Value applied: 1,046 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 30 Data / Parameter: TLCoal,PM,2006 Data unit: kg Description: Average truck load of the trucks used for coal to Paper Mill during the year



Any comment: -

Data / Parameter: TLRH,PP,2006 Data unit: kg Description: Average truck load of the trucks used for rice husk to Paper Mill during the year



Any comment: -

Data / Parameter: AVDCoal,PM,2006 Data unit: Km Description: The return trip distance (from and to) between coal supply site and Paper Mill

site during the year 2006 Source of data: Estimation on return trip distance between coal supply site in Surabaya and

Paper Mill in Kudus Value applied: 520 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 31 Data / Parameter: AVDRH,PM,2006 Data unit: Km Description: The return trip distance (from and to) between rice husk supply sites and Paper

Mill site during the year 2006 Source of data: Estimation on return trip distance between rice husk supply sites in Karang

Anyar and Paper Mill in Kudus Value applied: 100 Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: The average return trip distance : - Karang Anyar – Kudus = 20 km Based on the data in 2006, the average return trip distance = 20 km For the calculation of Project Emission, the amount of 100 km is adopted as the default value. If the amount of the average return trip distance from monitoring > 100 km, then the amount of the average return trip distance from monitoring will be used for the calculation

Data / Parameter: PORH,PM,2006 Data unit: - Description: Demonstration that the rice husk for boiler in Paper Mill from specific sources

would continue not to be utilized to other purposes Source of data: Information from Paper Mill concerning the Purchase Order of rice husk to its

suppliers during the year 2006 Value applied: - Justification of the choice of data or description of measurement methods and procedures actually applied:


Any comment: -

Data / Parameter: POSD,PM,2006 Data unit: - Description: Demonstration that the saw dust for boiler in Paper Mill from specific sources

would continue not to be utilized to other purposes during the year 2006 Source of data: Information from the Paper Mill concerning the Purchase Order of saw dust to

its suppliers during the year 2006 Value applied: - Justification of the choice of data or description of


PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 32 measurement methods and procedures actually applied: Any comment: -

B.6.3 Ex-ante calculation of emission reductions: Baseline emissions The baseline emissions consist of CO2 emissions from fossil fuel in the two boilers in Power Plant and one boiler in Paper Mill only (CH4 emission in the absence of the project at the biomass residues dumping sites is not included). BE y = BE HG,y + BE BF,y ......................................................................................................................(1) Where: BEy = Baseline emission during the year y (tCO2/yr) BEHG,y = Baseline emission from coal combustion for heat generation in the boilers(tCO2/yr) BEBF,y = Baseline emission due to uncontrolled burning or decay of the biomass residues ( =

zero). The burning of the biomass residues in the collection sites is not related to the project; the project procures the biomass residues, hence it is excluded.

Hence formulae (1) becomes: BEy = BE HG,y ......................................................................................................................................(2) BEHG,y = [ HGPJ,biomass,y . EFFF,CO2,y ] / [ η boiler,FF ] ( tCO2/y) .....................................................(3) Where :

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 33 HGPJ,biomass,y = Heat generated with incremental biomass residues in the project activity during the year

y ................................................................................................................................(4) EFFF,CO2,y = CO2 emission factor of the fossil fuel replaced by biomass residues (tCO2/TJ ) ......(5) = 96.07 tCO2 / TJ coal .................................................................................................(5a) η boiler,y = Average net efficiency in the boiler (s) when fired with fossil fuel, Average net heat

efficiency in the boiler (s) when fired with coal ......................................................(6) = 69.8 % .......................................................................................................................(6a) To calculate HG PJ,biomass,y : Apply case A: No biomass used prior to the project. Boilers at the power plant: HG PJ,biomass,y = HG PJ,biomass,total,y ........................................................................................................(7) = total heat generated from biomass residues in the project in the year y ...................(8) HG PJ,biomass,total,y = [HG PJ,total,PP ] . [ Σk BFk,y . NCVk ] / [Σk BFk,y . NCVk + Σi FCi,y . NCVi ] .........(9) Where : HGPJ,,total,y = Total heat generated in boilers during the project activities (coal mixed with biomass

residues) in the year y ..............................................................................................(10) = 678,443,179,500 kcal................................................................................................(10a) BF k,y = Quantity of biomass residues of type k fired in all boilers in the project during the year

y ( kg of dry matter/y)...............................................................................................(11) = 29,507,374 kg (rice husk) .........................................................................................(11a) = 6,083,445 kg (saw dust) ............................................................................................(11b) NCVk = Net calorific value of biomass residue type k (kcal/kg dry matter) ..........................(12) = 3,000 kcal/kg (rice husk)...........................................................................................(12a) = 3,500 kcal/kg (saw dust) ...........................................................................................(12b) FCt,y = Quantity of coal fired in the boilers during the year y (kg/y) ..................................(13) = 126,362,000 kg (coal) ...............................................................................................(13a) NCVi = Net calorific value of fossil fuel type i fired in the boilers during the year y ...........(14) = 4,500 kcal/kg (coal) .................................................................................................(14a) Eqn ( 10 ) through ( 14) give: HGPJ,biomass,total,y = 1,0981 . 10 11 kcal/y = 4.5946 . 102 TJ/y .............................................................(15) Equations (3), (5a),(6a), and (15) give : BEHG,y = 63,238.28 tCO2/y .....................................................................................................(16) Eqns (2) and (16) give : BEy = BEHG,y = 63,238.28 tCO2/y (BEy Power Plant) ........................................................................(16a)

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 34 Boilers at the Paper Mill: Referring to Eqns (7) and (9), and taking into consideration that biomass residue utilized in these boilers is rice husk only, and where: HGPJ,total,y = 55,845,430,800 Kcal/y BFk,y = 3,665,960 kg (rice husk) NCVk,y = 3,000 kcal/kg (rice husk) FCi,y = 8,624,529 kg (coal) NCVi,y = 5,200 kcal/kg (coal), Then, HGPJ,biomasa,total,y = HGPJ,biomasa,y = 46.015 TJ/y ………………………………………………………(17) With η boiler,y = 64%, EFFF,CO2,y = 96.07 tCO2/TJ coal (as above), then BEy = 6,907.28 tCO2/y = BEy Paper Mill …………………………………………………………..(17a) And for the project: BEy = BEy Power Plant + BEy Paper Mill = (63,238.28 + 6,907.28 ) tCO2/y = 70,145.56 tCO2/y …(17b) Project Emission PEy = PE CO2,FF,y + PE CO2,EC,y + PE CO2,TR,y + GWPCH4 . PE CH4,BF,y ............................(18) Where PEY = Project emission during the year y............................................................................(19) PECO2,FF,y = CO2 emission on the site of the project originated from fossil fuels, = Small and neglected ..................................................................................................(20) PECO2,EC,y = CO2 emission from electricity consumption in the project, = Zero, all electricity consumed in the project is originated from the power plant .....(21) PECO2,TR,y = CO2 emission originated from transporting the biomass residues and the reduced amount

of coal to site.............................................................................................................(22) PECO2,TR,y = PECO2,TR,rice husk,y + PECO2,TR,sawdust,y - PECO2,TR,coal,y ...................................................(22a) General formula used to calculate the project emission from transportation is: PECO2,TR,y = [ Σk BFPJ,k,y . AVDy . EFkm,CO2,y ]/ TLy .................................................................(22b)

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 35 Where:

PECO2,TR,y = CO2 emission from off-site transportation of biomass residues to the project site (tCO2/y)

Ny = Number of truck trips during the year y

AVDy = Average round trip distance (from and to) between the biomass supply sites and the site of the project plant during the year y

EFkm,CO2,y = Average CO2 emission factor for the trucks measured during the year y (tCO2/l)

BFPJ,k,y = Quantity of biomass residue type k used for heat generation as a result of the project activity during the year y (liter)

TLy = Average truck load of the trucks used (kg and ton)

Boilers at the Power Plant: Rice husk: Mass transported = 29,507,374 kg/y Mass transported/truck = 4,000 kg Distance traveled per round trip = 2 x 25 km = 50 km Distance traveled per liter diesel oil = 6 km/l EFdiesel oil = 20.2 tC/TJ (IPCC) = 0.002666178 tCO2/l = 0.000444 tCO2/km Hence: PECO2,TR,rice husk,y = 163.7659 tCO2/y......................................................................................................(22c) Sawdust : Mass transported = 6,083,445 kg/y Mass transported per truck = 4000 kg Distance traveled per round trip = 2 x 50 km = 100 km Distance traveled per liter diesel oil = 6 km/l EFdiesel oil = 20.2 tC/TJ (IPCC) = 0.002666178 tCO2/l = 0.000444 tCO2/km Hence: PECO2,sawdust,y = 67.52624 tCO2/y .......................................................................................................(22d) Coal : This has to do with the reduced transportation requirement of coal in the project. Mass transported = 1.09814 . 1011 kcal/y (its energy) Calorific value of coal = 4500 kcal/kg Mass transported per truck = 20 ton = 20,000 kg Distance traveled per round trip = 2 x 50 km = 100 km Distance traveled per liter diesel oil = 3.5 km EFdiesel oil = 20.2 tC/TJ (IPCC) = 0.002666178 tCO2/l = 0.000762 tCO2/km Hence: PECO2,TR,coal,y = 92.97585 tCO2/y.......................................................................................................(22e)

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 36 Combining Eqns (18), (19), (20), (21), (22), (22a), (22b), (22c), (22d), (22e) gives : PECO2,TR,y = 138.3163 tCO2/y.......................................................................................................(22f) PECH4,BF,y = Methane emission originated from the piles of biomass residues = Zero ( this is not part of the project and hence it is excluded ) .................................(23) Combining Eqns (18), (22f), and (23), gives: PEy ( the Power Plant) = 138.3163 tCO2/y …………………………………………………………(24) Boilers at the Paper Mill: Rice Husk: Applying Eqns (18), (22a), and (22b), where there are only rice husk and coal that are transported to the project site, where: Rice husk transported = 3,665,960 kg/y Mass transported per truck = 4,000 kg Distance traveled per round trip = 2 x 50 km = 100 km Distance traveled per liter diesel oil = 6 km/l EFdiesel oil = 20.2 tC/TJ (IPCC) = 0.000444 tCO2/km Hence: PECO2,TR,rice husk,y = 20.34608 tCO2/y…………………………………………………………..(24a) Coal ( reduction of transportation) : Mass transported (equivalent) = 10997880000 kcal/y Calorific value of coal = 4,500 kcal/kg Mass transported per truck = 20 ton = 20,000 kg Distance traveled per round trip = 2 x 260 km = 520 km (Surabaya) Distance traveled per liter diesel oil = 3.5 km (averaged to and fro) EFdiesel oil = 20.2 tC/TJ (IPCC) = 0.000762 tCO2/km Hence: PECO2,TR,coal,y = 41.90192 tCO2/y …………………………………………………………………(24b) PEy (Paper Mill) = (20.34608 – 41.90192) tCO2/y = -21.55584 tCO2/y ……………………….(24c) Combining Eqns (24) and (24c) gives: PEy (Project) = ( 138.3163 -21.55584 ) tCO2/y = 116.76046 tCO2/y .……………………...(24d) Leakage The production of biomass residues, such as rice husk and sawdust, has been there since many years before this project started. It has been proved that the biomass residue has been so just dumped and left to

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 37 decay (B1). Occasional use of the residues do occur but it has never been in a significant amount, leaving the amount of dumped residues at the dump sites keeps on increasing. Based on this fact, leakage emission value is set to zero (LE = 0 ).....................................................(25)

B.6.4 Summary of the ex-ante estimation of emission reductions:

Approved methodology AM 0036 gives the emission reduction in the year y, ERy, as:

ERy = BEy - PEy - LEy...................................................................................................................(26) From the above calculations: BEy = 70,145.56 tCO2/y …………………………………………………………………………(17b) PEy = 116.76046 tCO2/y . ……………………………………………………………………….(24d) LEy = 0 ............................................................................................................................................(25) Hence, ERy = 70,028.80 tCO2/y...................................................................................................................(27) B.7 Application of the monitoring methodology and description of the monitoring plan:

B.7.1 Data and parameters monitored: A. GENERAL Data / Parameter: EFCoal,CO2,y Data unit: tCO2/TJ Description: CO2 emission factor of Sub-bituminous coal displaced by biomass residue (rice

husk and saw dust) for the year y Source of data: 2006 IPCC Guidelines for National Greenhouse Gas Inventories Measurement procedures (if any):

-

Monitoring frequency: Review the appropriateness of the data annually QA/QC procedures: Check consistency of default values by the IPCC Any comment: - Data / Parameter: EFkm,CO2, Coal, y Data unit: tCO2/km Description: Average CO2 emission factor per km of ADO (Automotive Diesel Oil) for the

trucks loaded coal during the year y

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 38 Source of data: 1. Use the parameter from the common practice that the fuel consumption for 1

km distance traveled by trucks loaded coal is 3 liter (loading) and 4 liter (empty)

2. The value of net calorific values, carbon emission factor and oxidation of ADO adopt the default value in 2006 IPCC Guidelines for National Greenhouse Gas Inventories

Measurement procedures (if any):

-

Monitoring frequency: Review the appropriateness of the data annually QA/QC procedures: Cross-check measurement results with emission factors referred to in the 2006

IPCC Guidelines for National Greenhouse Gas Inventories Any comment: - Data / Parameter: EFkm,CO2,RH&SD,y Data unit: tCO2/km Description: Average CO2 emission factor per km of ADO (Automotive Diesel Oil) for the

trucks loaded rice husk and saw dust during the year y Source of data: 1. Use the parameter from the common practice that the fuel consumption for 1

km distance traveled by trucks loaded rice husk is 5 liter (loading) or 7 liter (empty)

2. The value of net calorific values, carbon emission factor and oxidation of ADO adopt the default value in 2006 IPCC Guidelines for National Greenhouse Gas Inventories

Measurement procedures (if any):

-

Monitoring frequency: Review the appropriateness of the data annually QA/QC procedures: Cross-check measurement results with emission factors referred to in the 2006

IPCC Guidelines for National Greenhouse Gas Inventories Any comment: - B. POWER PLANT 2 x 7.5 MW Data / Parameter: HGPJ,total,PP,y Data unit: kcal/yr Description: Total heat generated in all boilers at Power Plant, firing both biomass residues

(rice husk and saw dust) and coal, during the year y Source of data: On-site measurements Measurement procedures (if any):

Heat generation is determined as the difference of the enthalpy of the steam or hot water generated by the boilers minus the enthalpy of the feed water, the boiler blow-down and any condensate return. The respective enthalpies should be determined based on the volume flows, the temperatures and pressure. Steam tables may be used to calculate the enthalpy as function of temperature and pressure

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: The consistency of metered net heat generation should be cross-checked with


the quantity of biomass and coal fired Any comment: The measurement equipment for heat generation is calibrated once in a year Data / Parameter: FCCoal,PP,y Data unit: kg Description: Quantity of coal fired in all boilers at the Power Plant site during the year y Source of data: On-site measurements Measurement procedures (if any):

Use weight meters.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Cross-check the measurements with an annual energy balance that is based on

purchased quantities and stock changes. Any comment: The weight meters in truck weighing station is calibrated twice in a year Data / Parameter: BFRH,PP,y Data unit: kg of dry matter Description: Quantity of rice husk in all boilers at Power Plant site during the year y Source of data: On-site measurements Measurement procedures (if any):

Use of weight meters. Adjust for the moisture content in order to determine the quantity of dry rice husk.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Crosscheck the measurements with an annual energy balance that is based on

purchased quantities and stock changes. Any comment: - The rice husk and saw dust will be mixed in the same storehouse where

biomass is managed for three months utilization. - The weight meters in truck weighing station is calibrated twice in a year

Data / Parameter: BFSD,PP,y Data unit: kg of dry matter Description: Quantity of saw dust in all boilers at Power Plant during the year y Source of data: On-site measurements Measurement procedures (if any):

Use of weight meters. Adjust for the moisture content in order to determine the quantity of dry rice husk.


purchased quantities and stock changes. Any comment: - The rice husk and saw dust will be mixed in the same storehouse where

biomass is managed for three months utilization. - The weight meters in truck weighing station is calibrated twice in a year

Data / Parameter: NCVCoal,PP,y Data unit: kcal/kg Description: Net caloric value of coal delivered to Power Plant during the year y Source of data: Measurements at a reputed laboratory Measurement procedures (if any):

Measurement will take the coal sampling from every truck that transports the coal from barge/ship to Power Plant. The methodology adopts ASTM (American Standard Technical Measurement) No. D 2013 (sampling method)

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 40 Monitoring frequency: Continuously, mean value calculated at least annually. QA/QC procedures: Check consistency of measurements with default values by the IPCC. If the

values differ significantly from IPCC default values, conduct additional measurements.

Any comment: - Data / Parameter: NCVRH,PP,y Data unit: kcal/kg Description: Net caloric value of rice husk delivered to Power Plant during the year y Source of data: Measurements at a reputed laboratory Measurement procedures (if any):

Measure the NCV based on dry rice husk and adopts the methodology of the ASTM (American Standard Technical Measurement) No. D 2013 (sampling method)

Monitoring frequency: Every six months, taking at least three samples for each measurement. Mean value calculated at least annually.

QA/QC procedures: Check consistency of the measurements by comparing the measurement results with measurements from previous years. If the measurement results differ significantly from previous measurements, conduct additional measurements on the basis of dry rice husk.

Any comment: - Data / Parameter: NCVSD,PP,y Data unit: kcal/kg Description: Net caloric value of saw dust delivered to Power Plant during the year y Source of data: Measurements at a reputed laboratory Measurement procedures (if any):

Measure the NCV based on dry saw dust and adopts the methodology of the ASTM (American Standard Technical Measurement) No. D 2013 (sampling method)


QA/QC procedures: Check consistency of the measurements by comparing the measurement results with measurements from previous years. If the measurement results differ significantly from previous measurements, conduct additional measurements on the basis of dry saw dust.

Any comment: - Data / Parameter: MCRH,PP,y Data unit: % of water content Description: Moisture content of rice husk delivered to Power Plant Source of data: On-site measurements by internal moisture meter Measurement procedures (if any):

-

Monitoring frequency: Daily random, mean value calculated at least annually QA/QC procedures: ISO 9001/2000 Any comment: - The calibration of internal moisture meter is once in a year Data / Parameter: MCSD,PP,y

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 41 Data unit: % of water content Description: Moisture content of saw dust delivered to Power Plant Source of data: On-site measurements by internal moisture meter Measurement procedures (if any):

-

Monitoring frequency: Daily random, mean value calculated at least annually QA/QC procedures: ISO 9001/2000 Any comment: - The calibration of internal moisture meter is once in a year Data / Parameter: NCoal,PP,y Data unit: Trip Description: Number of trips of truck loaded coal to Power Plant during the year y Source of data: On-site measurements Measurement procedures (if any):

-

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Check consistency of the number of tuck trips with the quantity of coal

combusted Any comment: Project participants have to monitor the average truck load TLCoal,PP,y Data / Parameter: NRH,PP,y Data unit: Trip Description: Number of trips of truck loaded rice husk to Power Plant during the year y Source of data: On-site measurements Measurement procedures (if any):

-

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Check consistency of the number of tuck trips with the quantity of rice husk

combusted Any comment: Project participants have to monitor the average truck load TLRH,PP,y Data / Parameter: NSD,PP,y Data unit: Trip Description: Number of trips of truck loaded saw dust to Power Plant during the year y Source of data: On-site measurements Measurement procedures (if any):

-

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Check consistency of the number of tuck trips with the quantity of saw dust

combusted Any comment: Project participants have to monitor the average truck load TLSD,PP,y Data / Parameter: TLCoal,PP,y Data unit: kg Description: Average truck load of the trucks used for coal Source of data: On-site measurements

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 42 Measurement procedures (if any):

Each truck carrying coal to the Power Plant is measured on truck weighing station before and after coal loading. The weight difference is the amount of truck load.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: - Any comment: - Project participant has to monitor the number of truck trip NCoal,PP,y

- The weight meters in truck weighing station is calibrated twice in a year

Data / Parameter: TLRH,PP,y Data unit: kg Description: Average truck load of the trucks used for rice husk Source of data: On-site measurements Measurement procedures (if any):

Each truck carrying rice husk to Power Plant is measured on truck weighing station before and after rice husk loading. The weight difference is the amount of truck load.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: - Any comment: - Project participant has to monitor the number of truck trip NRH,PP,y

- The weight meters in truck weighing station is calibrated twice in a year Data / Parameter: TLSD,PP,y Data unit: kg Description: Average truck load of the trucks used for saw dust Source of data: On-site measurements Measurement procedures (if any):

Each truck carrying saw dust to the Power Plant is measured on truck weighing station before and after rice husk loading. The weight difference is the amount of truck load.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: - Any comment: - Project participant has to monitor the number of truck trip NSD,PP,y

- The weight meters in truck weighing station is calibrated twice in a year Data / Parameter: AVDCoal,PP,y Data unit: km Description: The return trip distance (from and to) between coal supply site and the Power

Plant site during the year y Source of data: Adopt default value of 100 km from direct measurement dated 27 March 2007 Measurement procedures (if any):

Utilize the distance meter in a car traveled from harbor in Semarang to Power Plant in Kudus

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Check consistency of default values by direct distance measurement at least

once in a year Any comment: - If the coal supply site is moved from the first location > 1 km, then the direct

distance measurement has to be taken into consideration. The new parameter has to be used in the report and in the calculation of emission reduction.

- If the coal is collected from many cities, then the average return trip distance has to be calculated using the estimation on the return trip distance between


new city and Kudus Data / Parameter: AVDRH,PP,y Data unit: km Description: The average return trip distance (from and to) between rice husk supply sites

and the site of the Power Plant during the year y Source of data: Default value of 100 km

- Measurement procedures (if any):

When the truck is measured in truck weighing station the driver has to inform the operator about the name of the city where the rice husk is collected. The data has to be putted into the truck’s report.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: - Any comment: 1. The estimation of the average return trip distance between the location of rice

husk supply site to Power Plant in Kudus, which are : - Demak – Kudus = 50 km - Purwodadi – Kudus = 60 km - Undaan – Kudus = 20 km - Sragen – Kudus = 240 km

2. If rice husk is collected from the new location (new city), the return trip distance of the new location to project site has to be used in the report and in the calculation of the average return trip distance.

3. If the amount of the average return trip distance from monitoring in year y > 100 km, then the average return trip distance from monitoring will be used for the emission reduction calculation

Data / Parameter: AVDSD,PP.y Data unit: km Description: The average return trip distance (from and to) between saw dust supply sites

and Power Plant site during the year y Source of data: Default value of 100 km Measurement procedures (if any):

When the truck is measured by truck weighing station the driver has to inform the operator about the name of the city where the saw dust is collected. The data has to be putted into the truck’s report.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: - Any comment: 1. The estimation of the average return trip distance between the location of saw

dust supply sites to Power Plant in Kudus, which are : - Demak – Kudus = 50 km - Semarang – Kudus = 100 km - Kendal – Kudus = 150 km

2. If saw dust is collected from the new location (new city), the distance of the new location to project site has to be measured. The new parameter has to be used in the report and in the calculation of the average return trip distance.


PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 44 Data / Parameter: EGpp,y Data unit: MWh Description: Electricity generation during the year y at the project site Source of data: On-site measurement from energy electricity meter (kWh meter) Measurement procedures (if any):

-

Monitoring frequency: Annual QA/QC procedures: - Any comment: The energy electricity meter is calibrated once in a year Data / Parameter: PORH,PP,y Data unit: - Description: Demonstration that the rice husk for boilers in Power Plant from specific

sources would continue not to be utilized to other purposes Source of data: Information from Power Plant concerning the Purchase Order of rice husk to its

suppliers Measurement procedures (if any):

-

Monitoring frequency: Annually QA/QC procedures: - Any comment: - Data / Parameter: POSD,PP,y Data unit: - Description: Demonstration that the saw dust for boilers in Power Plant from specific

sources would continue not to be utilized to other purposes Source of data: Information from Power Plant concerning the Purchase Order of saw dust to its


-

Monitoring frequency: Annually QA/QC procedures: - Any comment: - C. PAPER MILL Data / Parameter: HGPJ,total,PM,y Data unit: kcal/yr Description: Total heat generated in boiler at Paper Mill, firing rice husk and coal, during the

year y Source of data: On-site measurements Measurement procedures (if any):

Heat generation is determined as the difference of the enthalpy of the steam or hot water generated by the boilers minus the enthalpy of the feed water, the boiler blow-down and any condensate return. The respective enthalpies should


be determined based on the volume flows, the temperatures and pressure. Steam tables may be used to calculate the enthalpy as function of temperature and pressure

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: The consistency of metered net heat generation should be cross-checked with

the quantity of rice husk and coal fired Any comment: The measurement equipments for heat generated are calibrated once in a year Data / Parameter: FCCoal,PM,y Data unit: Kg Description: Quantity of coal fired in boiler at the Paper Mill site during the year y Source of data: On-site measurements Measurement procedures (if any):

Use weight meters.

Monitoring frequency: Continuously, aggregated at least annually QA/QC procedures: Cross-check the measurements with an annual energy balance that is based on

purchased quantities and stock changes. Any comment: The weight meters in truck weighing station is calibrated twice in a year Data / Parameter: BFRH,PM,y Data unit: kg of dry matter Description: Quantity of rice husk in boiler at Paper Mill site during the year y Source of data: On-site measurements Measurement procedures (if any):

Use of weight meters. Adjust for the moisture content in order to determine the quantity of dry biomass.


purchased quantities and stock changes. Any comment: - The weight meters in truck weighing station is calibrated twice in a year Data / Parameter: NCVCoal,PM,y Data unit: kcal/kg Description: Net caloric value of coal delivered to Paper Mill during the year y Source of data: Measurements at a reputed laboratory Measurement procedures (if any):

Measurement will take the coal sampling from every truck that transports from Surabaya to Paper Mill. The methodology adopts ASTM (American Standard Technical Measurement) No. D 2013 (sampling method)

Monitoring frequency: Continuously, mean value calculated at least annually. QA/QC procedures: Check consistency of measurements with default values by the IPCC. If the

values differ significantly from IPCC default values, conduct additional measurements.

Any comment: - Data / Parameter: NCVRH,PM,y Data unit: kcal/kg Description: Net caloric value of rice husk delivered to Paper Mill during the year y

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 46 Source of data: Measurements at a reputed laboratory Measurement procedures (if any):

Measure the NCV based on dry rice husk and adopts the methodology of the ASTM (American Standard Technical Measurement) No. D 2013 (sampling method)


QA/QC procedures: Check consistency of the measurements by comparing the measurement results with measurements from previous years. If the measurement results differ significantly from previous measurements, conduct additional measurements on the basis of dry rice husk.

Any comment: - Data / Parameter: MCRH,PP,y Data unit: % of water content Description: Moisture content of rice husk delivered to Paper Mill Source of data: On-site measurements by internal moisture meter Measurement procedures (if any):

-

Monitoring frequency: Daily random, mean value calculated at least annually QA/QC procedures: ISO 9001/2000 Any comment: - The calibration of moisture meter is once in a year Data / Parameter: NCoal,PM,y Data unit: Trip Description: Number of trips of truck loaded coal to Paper Mill during the year y Source of data: On-site measurements Measurement procedures (if any):

-

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Check consistency of the number of tuck trips with the quantity of coal

combusted Any comment: Project participants have to monitor the average truck load TLCoal,PM,y Data / Parameter: NRH,PM,y Data unit: Trip Description: Number of trips of truck loaded rice husk to Paper Mill during the year y Source of data: On-site measurements Measurement procedures (if any):

-

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Check consistency of the number of tuck trips with the quantity of rice husk

combusted Any comment: Project participants have to monitor the average truck load TLRH,PM,y Data / Parameter: TLCoal,PM,y Data unit: kg

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 47 Description: The average truck load of the trucks used for coal during the year y Source of data: On-site measurements Measurement procedures (if any):

Each truck carrying coal to the Paper Mill is measured by truck weighing station before and after coal loading. The weight difference is the amount of truck load.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: - Any comment: - Project participant has to monitor the number of truck trip NCoal,PM,y

- The weight meters in truck weighing station is calibrated twice in a year Data / Parameter: TLRH,PM,y Data unit: kg Description: The average truck load of the trucks used for rice husk during the year y Source of data: On-site measurements Measurement procedures (if any):

Each truck carrying rice husk to the Paper Mill is measured on truck weighing station before and after rice husk loading. The weight difference is the amount of truck load.

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: - Any comment: - Project participant has to monitor the number of truck trip NRH,PM,y

- The weight meters in truck weighing station is calibrated twice in a year Data / Parameter: AVDCoal,PM,y Data unit: km Description: The return trip distance (from and to) between coal supply site and Paper Mill

site during the year y Source of data: Default value of 520 km Measurement procedures (if any):

The estimation the return trip distance from Surabaya to Kudus

Monitoring frequency: Continuously, aggregated annually QA/QC procedures: Check consistency of default values by direct distance measurement at least

once in a year Any comment: - If the coal supply site is moved from the first location > 1 km, then the direct

distance measurement has to be taken into consideration. The new parameter has to be used in the report and in the calculation of emission reduction.

- If the coal is collected from many cities, then the average return trip distance has to be calculated using the estimation on the return trip distance between new city and Kudus

Data / Parameter: AVDRH,PM,y Data unit: km Description: Average return trip distance (from and to) between rice husk supply sites and

the site of the Paper Mill during the year y Source of data: Default value of 100 km

- Measurement procedures (if any):

When the truck is measured in truck weighing station the driver has to inform the operator about the name of the city where the rice husk is collected. The


data has to be putted into the truck’s report. Monitoring frequency: Continuously, aggregated annually QA/QC procedures: - Any comment: 1. The estimation of the average return trip distance between the location of rice

husk supply site to Power Plant in Kudus, which are : - Karang Anyar - Kudus = 20 km

2. If rice husk is collected from the new location (new city), the return trip distance of the new location to project site has to be used in the report and in the calculation of the average return trip distance.


Data / Parameter: PORH,PM,y Data unit: - Description: Demonstration that the rice husk for boiler in Paper Mill from specific sources

would continue not to be utilized to other purposes Source of data: Information from Paper Mill concerning the Purchase Order of rice husk to its


-

Monitoring frequency: Annually QA/QC procedures: - Any comment: -


B.7.2 Description of the monitoring plan: A. GENERAL

ID number Data variable Source of data Data unitMeasured (m), calculated (c), estimated (e)

Recording frequency

Proportion of data to be monitored

How will the data be archived ?

(electronic/paper)

Comment

1. EFCoal,CO2,y CO2 emission factor of coal type sub-bituminous

2006 IPCC Guidelines for National Greenhouse Gas Inventories

tCO2e/TJ c Annually 100% electronic

2. EFkm,CO2, Coal, y Average CO2 emission factor per km of ADO for the trucks loaded coal

1. Parameter from common practice for the fuel consumption

2. 2006 IPCC Guidelines for National Greenhouse Gas Inventories for the value of NCV, CEF and oxidation of ADO

tCO2/km e, c Annually 100% electronic

3. EFkm,CO2,RH&SD,y Average CO2 emission factor per km of ADO for the trucks loaded rice husk and saw dust

1. Parameter from common practice for the fuel consumption

2. 2006 IPCC Guidelines for National Greenhouse Gas Inventories for the value of NCV, CEF and oxidation of ADO

tCO2/km e, c Annually 100% electronic

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 50 B. POWER PLANT 2x7.5 MW


Recording frequency



(electronic/paper)

Comment

4. HGPJ,total,PP,y Total heat generated in all boilers at Power Plant

On site measurement kcal/yr m, c hourly 100% electronic

5. FCCoal,PP,y Quantity of coal fired in all boilers

On site measurement kg m, c two times in a month

100% electronic

6. BFRH,PP,y Quantity of rice husk in all boilers

On site measurement kg of dry matter

m, c once in three months

100% electronic

7. BFSD,PP,y Quantity of saw dust in all boilers

On site measurement kg of dry matter


100% electronic

8. NCVCoal,PP,y Net caloric value of coal

measurement at a reputed laboratory

kcal/kg m, c continuously 100% electronic mean value calculated at least annually

9. NCVRH,PP,y Net caloric value of rice husk


kcal/kg m, c every 6 months, aggregate annually

100% electronic mean value calculated at least annually

10. NCVSD,PP,y Net caloric value of saw dust




11. MCRH,PP,y Moisture content of rice husk

On site measurement % of water content

m, c daily random 100% electronic mean value calculated at least annually

12. MCSD,PP,y Moisture content of saw dust



13. NCoal,PP,y Number of trips of truck loaded coal

On site measurement trip c continuously, aggregate annually

100% electronic



Recording frequency



(electronic/paper)Comment

14. NRH,PP,y Number of trips of truck loaded rice husk


100% electronic

15. NSD,PP,y Number of trips of truck loaded saw dust


100% electronic

16. TLCoal,PP,y Average truck load of the trucks used for coal

On site measurement kg m, c continuously 100% electronic average value calculated annually

17. TLRH,PP,y Average truck load of the trucks used for rice husk


18. TLSD,PP,y Average truck load of the trucks used for saw dust

on site measurement kg m, c continuously 100% electronic average value calculated annually

19. AVDCoal,PP,y The return trip distance (from and to) between coal supply site and Power Plant site

default values of 100 km km m, c continuously, aggregate annually

100% electronic - If the coal supply site is moved > 1 km from the first location, then the direct distance measurement has to be taken into consideration. The new parameter has to be used in the report and in the calculation of emission reduction. - If the coal is collected from many cities, then the average return trip distance has to be calculated using the estimation on the return trip distance between new city and Kudus


ID number Data variable Source of data Data unit

Measured (m),

calculated (c), estimated (e)

Recording frequency



(electronic/paper)

Comment

20. AVDRH,PP,y The average return trip distance (from and to) between rice husk supply sites and Power Plant site

default values of 100 km km e, c continuously, aggregate annually

100% electronic - The average return trip distance is calculated annually - If rice husk is collected from the new location (new city), the return trip distance of the new location to project site has to be used in the report and in the calculation of the average return trip distance. - If the amount of the average return trip distance from monitoring in year y > 100 km, then the average return trip distance from monitoring will be used for the emission reduction calculation

21. AVDSD,PP.y The average return trip distance (from and to) between saw dust supply sites and project site


100% electronic - The average return trip distance is calculated annually - If saw dust is collected from the new location (new city), the return trip distance of the new location to project site has to be used in the report and in the calculation of the average return trip distance. - If the amount of the average return trip distance from monitoring in year y > 100 km, then the average return trip distance from monitoring will be used for the emission reduction calculation

22. EGpp,y Electricity generation on site measurement MWh m, c annually 100% electronic 23. PORH,PP,y Purchase order of rice

husk PT Pura Barutama – Power Plant Unit

text - annually 100% electronic

24. POSD,PP,y Purchase order of saw dust

PT Pura Barutama – Power Plant Unit


PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 53 C. PAPER MILL


Recording frequency



(electronic/paper)

Comment

25. HGPJ,total,PM,y Total heat generated in all boilers at Power Plant

on site measurement kcal/yr m, c hourly 100% electronic

26. FCCoal,PM,y Quantity of coal fired in all boilers

on site measurement kg m, c two times in a month

100% electronic

27. BFRH,PM,y Quantity of rice husk in all boilers

on site measurement kg of dry matter


100% electronic

28. NCVCoal,PM,y Net caloric value of coal measurement at a reputed laboratory

kcal/kg m, c continuously 100% electronic mean value calculated at least annually

29. NCVRH,PM,y Net caloric value of rice husk




30. MCRH,PM,y Moisture content of rice husk



31. NCoal,PM,y Number of trips of truck loaded coal


100% electronic

32. NRH,PM,y Number of trips of truck loaded coal


100% electronic

33. TLCoal,PM,y Average truck load of the trucks used for coal


34. TLRH,PM,y Average truck load of the trucks used for rice husk




Recording frequency



(electronic/paper)

Comment

35. AVDCoal,PM,y The return trip distance (from and to) between coal supply site and Power Plant site

default values of 100 km km m, c continuously, aggregate annually

100% electronic - If the coal supply site is moved > 1 km from the first location, then the direct distance measurement has to be taken into consideration. The new parameter has to be used in the report and in the calculation of emission reduction. - If the coal is collected from many cities, then the average return trip distance has to be calculated using the estimation on the return trip distance between new city and Kudus

36. AVDRH,PM,y The average return trip distance (from and to) between rice husk supply sites and Power Plant site


100% electronic - The average return trip distance is calculated annually - If rice husk is collected from the new location (new city), the return trip distance of the new location to project site has to be used in the report and in the calculation of the average return trip distance. - If the amount of the average return trip distance from monitoring in year y > 100 km, then the average return trip distance from monitoring will be used for the emission reduction calculation

37. PORH,PM,y Purchase order of rice husk

PT Pura Barutama – Paper Mill Unit


38. POSD,PM,y Purchase order of saw dust

PT Pura Barutama – Paper Mill Unit


PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 55 B.8 Date of completion of the application of the baseline study and monitoring methodology and the name of the responsible person(s)/entity(ies) NA SECTION C. Duration of the project activity / crediting period C.1 Duration of the project activity: C.1.1. Starting date of the project activity: 02/01/2006 C.1.2. Expected operational lifetime of the project activity: 20 years, till the year 2026 C.2 Choice of the crediting period and related information: C.2.1. Renewable crediting period C.2.1.1. Starting date of the first crediting period: N/A C.2.1.2. Length of the first crediting period: N/A C.2.2. Fixed crediting period: C.2.2.1. Starting date: 01/06/2008 C.2.2.2. Length: 10 years, that is till 2016 SECTION D. Environmental impacts >> D.1. Documentation on the analysis of the environmental impacts, including trans boundary impacts: In accordance with the Government regulations, an Environmental Impact Assessment (AMDAL) of the underlying project is not required for this activity, but an UKL and an UPL are required. For the Power Plant, both UKL and UPL have been put in place in December 2003. This document, titled: UPAYA

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 56 PENGELOLAAN LINGKUNGAN DAN UPAYA PEMANTAUAN LINGKUNGAN (UKL-UPL) has been published by the Kepala Kantor Pengendalian Lingkungan Hidup,( Head of Environmental Control Office), Kabupaten Kudus, (District Kudus), on 04/12/2003, with the document No. 14/UKL-UPL/ 2003, signed by Drs. M. Purwadyono. For the Paper Mill, the number of the document is No.23.1/KWDPP-11/2.1/IV/2001, dated 14 June 2001, and signed by Kepala Kantor Departemen Perindustrian dan Perdagangan Propinsi Jawa Tengah (Head, Industry and Trade Office, Central Java), Drs. Yeru Saimianto, MM. The UKL-UPL contains, among other things,: a. Plan of activities to be undertaken; b. initial environmental condition, covering chemical-physical component; biological component; social, cultural, and health component. C. Impacts that might happen due to the activities on each of the environmental components; d. method of controlling the possible impacts from becoming hazardous (UPL); and e. monitoring (UPL) of the exercise of UKL. D.2. If environmental impacts are considered significant by the project participants or the host Party, please provide conclusions and all references to support documentation of an environmental impact assessment undertaken in accordance with the procedures as required by the host Party: Not applicable. SECTION E. Stakeholders’ comments E.1. Brief description how comments by local stakeholders have been invited and compiled: PT.Pura Barutama, the owner of the project, invited people to a stakeholders meeting to be organized on a specified date, 7 March 2007, at a meeting place with easy access, in the town of Kudus. People invited includes: Head of Communities, heads of Government at the village levels, Heads of Villages, Labor Organization, NGOs, Head of Environmental, Mining and Energy Office from the District Kudus, Head of Industry, Trade, and Cooperatives Office of the District of Kudus, rice husk suppliers, sawdust suppliers, and the consultant YBUL. PT Pura Barutama gave a presentation on the project, and later on gave an opportunity for the audience to raise any question the participants might have. After the presentation and the “Question and Answer” session, a set of Questionnaires were distributed, in order for the participants to have a personal opportunity to respond to several questions pertaining to the presence of the project within their midst. The questionnaires were later collected, and their responses were studied and categorized, emphasizing on a “yes” and “no” responses to the project. The questionnaires consist of:

a. personal data of stakeholder b. what is your opinion on environmental condition surrounding the factory c. would this project have positive impacts on the welfare of the surrounding communities, from the

point of view of the environment, social, economic, and technology d. would this project have negative impacts on the welfare of the surrounding communities, from

the point of view of the environment, social, economic, and technology


e. are you in agreement with the utilization of rice husk and sawdust as fuel in this project f. what matters and issues are there that need to be considered during the construction and operation

of the project g. please give other comments and suggestions.

E.2. Summary of the comments received: The crucial issues are in questions c d, and e. The responses are grouped into two categories, namely positive and negative responses, to each aspects of environment, social, economic, and technology, as follows: On question c it is found that 17 out of 32 respondents belief that the project will improve the welfare of the community from the environmental aspect, 12 respondents say that there is no positive impact on the welfare of the community; 3 are abstain. On question d, it is found that 18 out of 32 respondents belief that the project will have a negative impact on the community welfare from the environmental point of view, 12 respondent believe that the project will not have a negative impact on the welfare of the community seen from the environmental aspect; 2 are abstain. A further look into the responses, it is found that 11 respondents say “yes’ to both question c and d, and 2 respondents that say “no” to both question c and d. Respondents who are consistent in saying “yes’ to the project contribution to the welfare of the community from the environmental aspects is 6, and those who say “no” is also 6. On the social, economic, and technology aspects there is an overwhelming response of believing that the project will positively contribute to the welfare of the community ( 59 yes versus 20 no). On question e, there is a great majority of “ yes” to the use of rice husk and sawdust as fuel in theproject. On the negative responses, they are, apparently, mostly on matters that have not been fulfilled by PT Pura Barutama as PT Pura Barutama has promised in the past, not on this newly begun activity. PT.Pura Barutama, apparently during the socialization meetings, had promised to do several things for the community. The community, however, does acknowledge that PT.Pura Barutama has up to date done many things as promised, but asking that the rest of the promise be fulfilled. PT.Pura Barutama has expressed their commitment of fulfilling the promise, step wise, one by one, according to the availability of manpower to carry out these extra tasks.

E.3. Report on how due account was taken of any comments received: The responses are listed and categorized and tabularized in two main groups of positive and negative responses, each on the questions on: environment, social, economical, and technological aspects. The next step is to see how the different aspects fare in the scoring . From the scoring sheet it is seen, that responses on environment are about equal, ( 17 vs 18), hence a more detailed look at the responses is carried out.

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 58 The third step is to give a closer look at the question as to whether they approve or disapprove the utilization of rice husk and sawdust in the project. The first step has been shown in E2. The second step is as follows: There are 18 negative responses to the question on environment which can be categorized as:

1. pollution of air, water and noise (13); particulates (1); 2. pollution in general (2); 3. traffic inconvenience due to its increase in volume (1); 4. not enough employment given to local people (to date) (1).

According to the presentation and the responses of PT. Pura Barutama during the Question and Answer session, PT.Pura has mitigated the mentioned pollution down to a level below the threshold as stipulated by the Government. On the question on the utilization of rice husk and sawdust in the project order to reduce the use coal, there are: 23 agree, and 9 disagree. On the 23 agrees:

1. because rice husk is given an added value (14); 2. because rice husk does not give any danger to human health (6); 3. because the use of rice husk reduces the emission of CO2 1); 4. unspecified (2).

On the 9 disagrees:

1. portion of rice husk for brick home industry will not be sufficient (1) – PT.Pura Barutama response is: there is an abundant supply of rice husk in the area. In addition PT.Pura Barutama procures the rice husk at a higher price than the brick industries do. So this is not a valid reason to not agree.

2. odor released is not good (1) – PT.Pura Barutama claims that the odor does not originate in the power plant, or Paper Mill, but probably at the ink plant.

3. adding to the pollution of air, water, and noise (5) - PT.Pura Barutama claims that they have met the Government requirements on the threshold values of pollutants. This target is proved by an auditor company, PT. Sucofindo of Indonesia.

4. general pollution(1). 5. not in agreement with the previous promise, that is, burning coal (1).

In conclusion, the stakeholders meeting proves that they do not object to the idea of the project to be carried out at the specified site, even though there is a minor voice requesting to do more of the type of social responsibility, to which PT.Pura Barutama has promised to fulfill.

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 59 Annex 1

CONTACT INFORMATION ON PARTICIPANTS IN THE PROJECT ACTIVITY

Organization: PT. Pura Barutama Street/P.O.Box: Jalan AKBP Agil Kusumadya 203; PO Box 87 Building: Head Office, PT. Pura Group City: Kudus State/Region: Central Java Postfix/ZIP: Kudus 59347 Country: Indonesia Telephone: + (62-291) 432223 FAX: + (62-291) 432250 E-Mail: [email protected] URL: www.kudus.puragroup.com Represented by: Aris Wicaksono Title: Manager Salutation: Engineer Last Name: Wicaksono Middle Name: - First Name: Aris Department: Power Plant Division Mobile: 0811279976 Direct FAX: + (62-291) 444044 Direct tel: + (62-291) 444361 Personal E-Mail: [email protected]

Organization: The New Energy and Industrial Technology Development Organization Street/P.O.Box: Omiya-cho, Saiwai-ku Building: 1310 City: Kawasaki city State/Region: Kanagawa prefecture Postfix/ZIP: 212-8554 Country: Japan Telephone: + 81 (0)44 520 5195 FAX: + 81 (0)44 520 5196 E-Mail: [email protected] URL: http://www.nedo.go.jp Represented by: Hidefumi Nakashima Title: General manager of Kyoto Mechanisms Promotion Department Salutation: Mr Last Name: Nakashima Middle Name: - First Name: Hidefumi Department: Kyoto Mechanisms Promotion Department

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 60 Mobile: N/A Direct FAX: + 81 (0)44 520 5196 Direct tel: + 81 (0)44 520 5195 Personal E-Mail: [email protected]


Annex 2

INFORMATION REGARDING PUBLIC FUNDING

NO PUBLIC FUNDING USED


Annex 3

BASELINE INFORMATION

Consumption of Rice Husk : Coal = 1.7 : 1

POWER PLANT - ELECTRICITY

1. Quantity of Biomass (2006) = 35,590,829 kg

- Rice Husk = 29,507,374 kg - Saw Dust = 6,083,445 kg

2. Caloric Value (kcal/kg) ADB (air dried basis) AR (As received) - Coal (Kalimantan Selatan) 5,400 4,500 Sucofindo - Rice Husk 3,174 3,000 Internal - Saw Dust 4,000 3,500 Internal 3. Total Boiler output ;

a. Steam : 714,810,810 kg/y 4. Electricity Production in 2006

a. Pura Paper Mill EEC = 50,627,105 kWh b. Sell to PLN = 49,758,720 kWh c. Internal Power Plant = 15,397,680 kWh Total = 114,783,505 kWh

5.Total Heat Generated :

- Coal : 126,362,000 * 4,500 = 568,629,000,000 kcal/y - Rice Husk : 29,507,374 * 3,000 = 88,522,122,000 kcal/y - Saw Dust : 6,083,445 * 3,500 = 21,292,057,500 kcal/y

6.Thermal Boiler Efficiency : 69.8 % = 70% 7. Fly Ash of : - Rice Husk = 3,540,884 kg 40% for brick & paving - Saw Dust = 60,835 kg 60% for land filling 8. Quantity of transportation = +/- 4,000 kg/truck 9. PPA to PLN : in the end of 2004 (price : yearly basis) Price : Rp 425/kWh 10. Install Generator 2x7.5 MW = 2004 11. Purchase of Rice Husk : Semarang – 50 km, Demak (80%) – 25 km; Saw Dust : Semarang – 50 km Truck fuel consumption (biomass) : 1 : 5 (isi) ; kosong : 1 : 7 (kosong)

After KLH agreement, 100% is used for brick & paving

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 63 Distance for coal : 350 miles + 50 km = 645 km Coal Truck capacity = 20 t Fuel consumption of coal truck = 1:3 (isi); 1:4 (kosong) Fuel type : ADO Boiler 1&2&3 : Main : electricity ; Add : steam Harga Rice 120/kg ; saw dust = 145/kg diambil dari collector (pengepul) Stock Rice Husk capacity = 1000 ton storage for 7 days before process Less amount of rice husk is Oct-Nov PAPER MILL 1,2,3 - STEAM FOR PROCESSES 1.Quantity of Biomass (2006) = 3,665,960 kg

a. Rice Husk = 3,665,960 kg b. Saw Dust = - kg

2. Caloric Value (kcal/kg) ADB (air dried basis) AR (As received) - Coal (Kalimantan Selatan) 6,000 5,200 Sucofindo - Rice Husk 3,176 3,000 - Saw Dust - - 3.Total Boiler output ;

- Steam : 80,575,000 kg 4.Total Heat Generated : 55,845,430,800 kcal

a. Coal : 8,624,529 * 5,200 = … kcal b. Rice Husk : 3,665,960 * 3,000 = … kcal c. Saw Dust :- kcal

5.Thermal Boiler Efficiency : 64 % 6. Fly Ash of : - Rice Husk = 439,915 kg 40% for brick & paving - Saw Dust = - kg 60% for land filling Conveyor Power = 7.5 – 15 kW ; Total Energy Need = 300kWh/day

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 64 Sawah Padi : - Existing : - 1 ha = 5-6 ton/paddy 15% Rice Husk - Future : - 1 ha = 8 ton/paddy


B1a

B3b

B3a

B2c

B2b

B2a

B1b

Paper Mill 1,2,3

(1975)

Paper Mill 5,6,9

(1990)

Power Plant 2004

Coal (1990)

Coal + Rice Husk +SD (2004) (Jan 2006)

Coal (1980)

Coal + Rice Husk (1980) (2006)

Elec

trici

ty

(Sta

rt : N

ov. 2

004;

Su

pply

: Ja

n –

Des

) El

ectri

city

(S

tart

: Sep

200

6;

Supp

ly :

Oct

– D

es)

Stea

m

(Sta

rt : J

an.

2006

; Su

pply

: Ja

n –

Des

fle

xibl

e)

PLN

Before Nov 04

Before Sept 06

Stand-by

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 66 TIME

…- Nov. 2004 Nov. 2004 - Dec 2005 Jan. 2006 - … Paper Mill 5,6,9 - Electricity PLN Power Plant (coal) Power Plant

- Steam 2 units boiler (coal) 2 units boiler (coal)

Power Plant (flexible) & 2 unit

boiler (coal) Paper Mill 1,2,3

- Electricity PLN PLN (… - Aug. 2006)Power Plant (Sept. 2006)

- Steam 2 units boiler (coal) 2 units boiler (coal)

1 unit boiler (coal) & 1 unit boiler (coal +

RH) Power Plant (2004) - Electricity 0 coal coal + RH + SD - Steam 0 coal coal + RH + SD


Annex 4

MONITORING INFORMATION

- - - - -

purapddfinal100108 - jqa · in the paper mill there are boilers to produce process steam only. the...

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