optimization on fuel gas operation for combined...

30
OPTIMIZATION ON FUEL GAS OPERATION FOR COMBINED CYCLE POWER PLANT MOHD IZAMUDDIN BIN MAHMUD A project report submitted in partial fulfillment of the requirements for the award of the degree of Master of Engineering (Electrical-Power) Faculty of Electrical Engineering Universiti Teknologi Malaysia JUNE 2011

Upload: lamtruc

Post on 17-May-2019

214 views

Category:

Documents


0 download

TRANSCRIPT

OPTIMIZATION ON FUEL GAS OPERATION FOR COMBINED CYCLE

POWER PLANT

MOHD IZAMUDDIN BIN MAHMUD

A project report submitted in partial fulfillment of the

requirements for the award of the degree of

Master of Engineering (Electrical-Power)

Faculty of Electrical Engineering

Universiti Teknologi Malaysia

JUNE 2011

iv

To my friends and family for your support and advise.

v

ACKNOWLEDGEMENTS

Alhamdulillah. I would like to express my appreciation to Associate Professor

Dr Mohd. Wazir bin Mustafa for his relentless effort in supporting and guiding to

complete this research. The guidance, knowledge sharing, and advice will be noted

for the next undertaking.

I also would like to acknowledge my thank you to Alstom O&M team in

Perlis Power Plant, the senior O&M manager Mr Stefan Kesseler, the technical

advisor Mr Chamnan Thabsuk and senior mechanical engineer Mr Marc Lamprecth

for the knowledge sharing, advice and support.

Lastly, a special thanks to Ms Noraziah Wahi and Mr Zulkiflee Elia from

UiTM Kota Samarahan, Mr Albert Bun, Mr Suresh from UTM, Mr Iskandar and Mr

Nazir from Lumut Power Plant and Associate Professor Dr Zulkurnain from IVAT.

vi

ABSTRACT

Fuel gas system for 13E2 gas turbine is designed to optimize the fuel gas

consumption and reduce nitrogen oxide gas emission. This system consists of closed

loop controller, control valves, shut off valves, and burners. Due to long running

operation, the hardware of gas turbine efficiency will deteriorate. During major

outage, all hardware will be replaced or repaired. Since the characteristic of gas

turbine changed, it is not matching with the existing fuel gas system setting. Hence

the fuel gas system has to be calibrated. In this project thesis, one of the main targets

is to explain the CCGT fundamentals. In the CCGT system, there is a subsystem

named as fuel gas control system. This system is selected for improvement purposes.

The next main target is to prove that the proposed improvement is possible. The

calibration work is focused on the 3 main control valves (MBP 41, 42, and 43). A

step by step working instruction is indicated and the trending for relevant signals are

displayed and recorded. On top of that, the details of fuel gas system, components,

and its operation have been explained. Each protection measurements available in the

controller have to be monitored in advance to avoid any tripping during testing. Any

tripping at certain load may incur certain amount of equivalent operating hour. The

final result from this project proved that there is an improvement in the operation of

fuel gas system. The reduction is mass flow at certain loads are visible. Besides, there

is no potential of tripping on GT due to current gas composition.

vii

ABSTRAK

Sistem bahan bakar gas di dalam gas tarbin 13E2 telah direkacipta untuk

mengoptimasikan penggunaan bahan api gas dan mengurangkan penghasilan gas

nitrogen oksida. Sistem ini terdiri dari kawalan litar tertutup, injap terkawal, injap

tertutup, dan alat pembakar. Disebabkan jangka masa operasi yang lama, tahap

kecekapan peralatan dan pekakas gas tarbin turut menurun. Di dalam proses

pemulihan secara besar-besaran, kesemua pekakas and peralat utama akan ditukar

atau dibaiki. Oleh kerana sifat-sifat gas turbin telah berubah, ia tidak lagi sesuai

dengan konfigurasi system bahan bakar gas pada waktu itu. Dengan itu, sistem bahan

bakar gas perlu di perbetulkan semula. Tujuan utama projek tesis ini adalah untuk

menerangkan fungsi and operasi CCGT secara asas. Di dalam sistem ini, terdapat

subsistem dipanggil sistem bahan bakar gas. Sistem ini telah di pilih untuk kerja

penambahbaikan. Selain itu, tesis ini bertujuan untuk membuktikan bahawa cadangan

penambahbaikan mampu mengurangkan penggunaan bahan api gas. Kerja

pembetulan konfigurasi tertumpu kepada 3 injap terkawal utama (MBP 41, 42, dan

43). Cara kerja secara khursus telah di tunjukkan dan informasi berkaitan telah di

rekod. Selain itu, sistem bahan bakar gas, perkakas yang berkaitan dan cara operasi

telah diterangkan secara khursus. Setiap data yang berkaitan dengan keselamatan dan

perlindungan yang terdapat di dalam sistem pengawal telah di perhatikan secara

langsung. Projek ini membuktikan bahawa penambahbaikan di dalam sistem bahan

bakar gas adalah tidak mustahil. Terdapat tahap pengurangan jumlah penggunaan

bahan api pada Megawatt tertentu. Selain itu, tiada potensi untuk GT tidak

berkemampuan menjalankan tugas di sebabkan komposisi gas semasa.

viii

TABLE OF CONTENT

CHAPTER TITLE PAGE

DECLARATION ii

DEDICATION iv

ACKNOWLEDGEMENT v

ABSTRACT vi

ABSTRAK vii

TABLE OF CONTENTS viii

LIST OF TABLES xi

LIST OF FIGURES xii

LIST OF ABBREVIATIONS xv

LIST OF SYMBOLS xvi

LIST OF APPENDICES xvii

1 INTRODUCTION

1.1 Research Background 1

1.2 Power Business Liberation 4

1.3 Impact of Uncertainty in Power Business 6

1.4 Problem Statement 9

1.5 Objective of Study 10

1.6 Scope of Study 11

1.7 Thesis Structure 12

2 COMBINED CYCLE POWER PLANT

2.1 Introduction 13

ix

2.2 Combined Cycle Power Plant 15

2.3 Overview of Gas Turbine 17

2.3.1 Operation of Gas Turbine 28

2.4 Overview of steam turbine 30

2.4.1 Operation of Steam Turbine 35

2.5 Balance of plant 37

2.6 Summary 40

3 FUEL GAS CONTROL VALVES

3.1 Introduction 41

3.2 Operation concept of fuel gas control valve 42

3.2.1 Fuel gas valve control system 49

3.2.2 Calibration of pilot control valve 54

3.3 Detail and design of EV burner 55

3.4 Safety operations and monitoring of GT 59

3.5 Controllers 62

3.5.1 Close loop controller for GT 63

3.5.2 Open loop controller for GT 65

3.5.3 Protection controllers for GT 65

3.5.4 Node controllers for GT 65

3.5.5 Node controller for HRSG 66

3.5.6 Node controller 17 66

3.5.7 Node controller 18 67

3.5.8 Node controller 19 67

3.5.9 Close loop controller for ST 67

3.5.10 Protection controllers for ST 68

3.6 Summary 68

x

4 CALIBRATION OF FUEL GAS CONTROL VALVES

4.1 Introduction 69

4.2 Working instruction 69

4.3 Control valves initial settings 70

4.4 First stage of calibration 73

4.5 Second stage of calibration 82

4.6 Third stage of calibration 91

4.7 Forth stage of calibration 105

4.8 Summary 115

5 RESULT AND DISCUSSION

5.1 Introduction 116

5.2 Results 116

5.2.1 Calibration of MBP 41 control valve 117

5.2.2 Calibration of MBP 42 control valve 119

5.2.3 Calibration of MBP 43 control valve 121

5.3 Discussion 123

6 CONCLUSION AND RECOMMENDATION

6.1 Conclusion 124

6.2 Recommendation 125

REFERENCES 127

APPENDIX A 130

xi

LIST OF TABLES

TABLE NO. TITLE PAGE

2.1 Gas property from PETRONAS 27

3.1 Settings for pulsation 60

4.1 Original stroke and mass flow values 71

4.2 Calibration of MBP 43 control valve 81

4.3 Calibration of MBP 41 and MBP43 control valves 90

4.4 Calibration of MBP 41, 42 and 43 control valves 104

4.5 Calibration of MBP 41 control valve 114

5.1 New and old mass flow data for MBP 41 118

5.2 New and old mass flow data for MBP 42 120

5.3 New and old mass flow data for MBP 43 122

xii

LIST OF FIGURES

FIGURE NO. TITLE PAGE

2.1 Flow chart of selecting the MBP control valves 16

2.2 Gas turbine overview 18

2.3 Overview of generator single line diagram 19

2.4 Overview of plant electrical single line diagram 20

2.5 Overview of GT lubrication system 22

2.6 Hydraulic safety oil 23

2.7 Overview of GT fuel oil system 23

2.8 GT release criteria 24

2.9 GT tripping system 25

2.10 GT shaft monitoring system 25

2.11 Overview of by-pass system 31

2.12 Overview of condenser system 32

2.13 Overview of feedwater system 33

2.14 Overview of HRSG and drums systems 34

2.15 Overview of steam turbine system 35

2.16 Cooling water system 39

2.17 Fuel gas forwarding system 40

3.1 Fuel gas valves overview 42

3.2 Control valves operating concept 44

3.3 GT fuel gas system diagram 46

3.4 Fuel gas overview 47

3.5 Burner arrangement 48

3.6 Picture of MBP 41 control valve 49

3.7 Control valve single line diagram 50

xiii

3.8 Control valve at close position 51

3.9 Control valve starts to open 52

3.10 Control valve fully open 52

3.11 Control valve starts to close 53

3.12 Power oil drain 54

3.13 Burner diagram 59

3.14 Burner head 57

3.15 Air and fuel gas flow 58

3.16 Burners inside combustor 59

3.17 Temperature after turbine profile 62

3.18 Typical controllers in CCGT 63

3.19 Control valve controller 64

4.1 MBP 41 valve characteristic 72

4.2 MBP 42 valve characteristic 72

4.3 MBP 43 valve characteristic 73

4.4 Calibration at 5MW 75

4.5 Calibration at 10MW 76

4.6 Calibration at 15MW 77

4.7 Calibration at 20MW 78

4.8 Calibration at 25MW 79

4.9 Calibration at 30MW 80

4.10 Linear graph of MBP 43 control valve 81

4.11 Calibration at 20MW 83

4.12 Calibration at 25MW 84

4.13 Calibration at 30MW 85

4.14 Calibration at 35MW 86

4.15 Calibration at 40MW 87

4.16 Calibration at 45MW 88

4.17 Calibration at 50MW 89

xiv

4.18 Linear graph of MBP 41 control valve 90

4.19 Calibration at 35MW 92

4.20 Calibration at 40MW 93

4.21 Calibration at 45MW 94

4.22 Calibration at 50MW 95

4.23 Calibration at 55MW 96

4.24 Calibration at 60MW 97

4.25 Calibration at 65MW 98

4.26 Calibration at 70MW 99

4.27 Calibration at 75MW 100

4.28 Calibration at 80MW 101

4.29 Calibration at 85MW 102

4.30 Calibration at 90MW 103

4.31 Linear graph of MBP 42 control valve 105

4.32 Calibration at 95MW 106

4.33 Calibration at 100MW 107

4.34 Calibration at 105MW 108

4.35 Calibration at 110MW 109

4.36 Calibration at 115MW 110

4.37 Calibration at 120MW 111

4.38 Calibration at 125MW 112

4.39 Calibration at 130MW 113

4.40 Linear graph of MBP 41 control valve 114

5.1 Old and new graph of MBP 41 control valve 119

5.2 Old and new graph of MBP 42 control valve 121

5.3 Old and new graph of MBP 43 control valve 123

xv

LIST OF ABBREVIATIONS

DC - Direct current

TNB - Tenaga Nasional Berhad

NLDC - National Load Dispatch Center

CCPP - Combined Cycle Power Plant

GT - Gas Turbine

ST - Steam Turbine

BOP - Balance of Plant

PETRONAS - Petroliam Nasional Berhad

HRSG - Heat Recovery Steam Generator

VIGV - Variable Inlet Guide Vane

TAT - Temperature After Turbine

TIT - Temperature Inlet Turbine

O&M - Operation and Maintenance

HVCB - High Voltage Circuit Breaker (275kV)

GCB - Generator Circuit Breaker (15.75kV or 19kV)

AGC - Automatic Generation Control

CLC - Closed Loop Controller

OLC - Opened Loop Controller

NOx - Nitric Oxide and Nitrogen Dioxide

PLS - Protection Load Shedding

BDQ - Bad Data Quality

CCGT - Combined Cycle Gas Turbine

EOH - Equivalent Operating Hours

xvi

LIST OF SYMBOLS

B - Magnetic force

F - Force

f - Frequency, hertz

I - Current, ampere

Kg/s - kilogram per second

m3/h - meter cube per hour

xvii

LIST OF APPENDICES

APPENDIX NO. TITLE PAGE

A BRAYTON CYCLE 130

1

CHAPTER 1

INTRODUCTION

1.1 Research Background

Technical approach is a modification of the processes and parameters

adjustment of the Combine cycle power plant. The modification of the processes may

start from the input (fuel, air, steam etc.) until the power has been delivered to the

customer. The settings adjustment shall be carried out along the process as stated

before. Both reconfigurations are essential, as it will determine the quantity and

quality of final product hence affecting the efficiency of the combine cycle power

plant. However certain calibration may be limited due to material and safety

constrain.

As far as cost of operating and maintaining are concerned, the technical

approach proposed will determine the minimum overall cost yet maximizing the

profits. While overall costs reduce, the higher profits may reflex the performance of

the operation and maintenance personnel and plant. The minimum operation and

2

maintenance cost also may affect the chances of the new operation and maintenance

tender, as it will become a referral.

A suitable technical approach may be implemented base on the current

economic situation. The situation may vary from inflation and deflation of economy

and planned outage. When the economy is inflated or deflated, each gas turbines and

steam turbine shall be equipped with the suitable technical parameters and hence the

unique efficiency has been determined. The efficiency may become a guideline

during selection for the gas turbine to operate. The highest efficiency is the most

favorable to operate as far as profit is concerned. In scheduling the inspection or

outage for each unit, the equivalent operating hours (EOH) will become the

guidelines. Here the most efficient unit after the new technical approach is applied

will be in the schedule first and usually with higher equivalent operating hours

interval than others.

In determining the highest capable efficiency, of each unit, the processes and

parameters will be adjusted and recalibrated. The recommendation will be based on

the virtual model adjustment. The model will be designed base on the actual combine

cycle power plant to get the accurate effect during testing.

In a research paper in reference [1], it was introduced the method of

investment planning in power plant business. The decision tree is used. The input

criteria are no investment, large repair or replace the power plant, and the failure risk

cost. At the end of the process, the profits and plants operating rates for each period

shall be determined.

3

The design technical approach will increase the efficiency of the Gas and

Steam Turbines. Hence the cost of operate and maintain will reduce. Indirectly the

additional profit margin will be given to the Operation and Maintenance (O&M)

company. If the cost of the O&M were imposed in the bidding process, it will project

a good competitive advantage especially to new O&M company.

In the reference [2-5], it was explained that there are few papers were

presented as part of the PowerGen exhibition. It was meant to promote the new

design of F class GT. Among the improvements are the new tested compressor design

by using 6 sigma methodology, the new single center tie bolt rotor and the new

exhaust system. On top of that, it was claimed that the start reliability may achieve

from zero speed to base load in 10 minutes. However there was no further

information in regards to the combined cycle operation improvement. Nevertheless,

in relation to this project, this paper may introduce a room of improvement for the

13E2 design review. Further redesign and test are required to be on par with this new

product by Siemens.

In addition to the references above, it was explored on the NOx emission and

reduction for the gas turbine outlet. An equipment was introduced called Lean Head

End (LHE) with water and steam injection technique as the testing was carried out at

partial and base load. It is proven effective with GT frame 5, 6, and 7.

The writer in the as referred in the Reference [6] also put proposal on

optimization by cascading the LNG cycle, Rankine cycle using ammonia-water as a

working fluid and Brayton power cycle of power plant. Nevertheless, it was not

recorded the actual implementation of such a combination yet.

4

1.2 Power Business Liberalization

The power market’s liberalization throughout the main global economy

player’s (USA and EU for example) had been triggered in the mid 1990’s, hence

exerting changes in the power generation and supply businesses of these economies.

As a result of this, nowadays, power plant operators had to experience more

challenging market environment such as due to strong competition, various

uncertainties, and many without long term power purchase agreements. Like a

blessings in disguise, the market liberalization also presents new business

opportunities such as the utilization of market price fluctuations for operation and

maintenance optimization, participation in ancillary service markets, and short term

trading.

All of these opportunities can contribute to significantly improve the operating

margins. By knowing how to approach these challenges as well as opportunities, an

operator can in some cases achieve higher profits and enhance their marketability,

without depending too much on long term power purchase agreement which although

guarantee security in part of the operators but is still vulnerable towards various

uncertainties such as political uncertainties that might review, reconsider or even

change completely the accepted policy towards power businesses. Apart from that,

these form of dependency of operations on contracts or agreements also restrict power

businesses from exploring new opportunities, business ideas and in some extreme

uncertain environment will even led operations to go on without profit.

A study was conducted on the liberalization impact on the electricity market

as the reference [7] is referred. The focus was toward the coal mining industry. There

5

are 2 scenarios discussed (monopoly and liberation) with the specification of

commercialization and privatization, competition, and authorization for the client to

buy the power directly from producer.

Furthermore, the more experience gained from operating under liberalized

market environment would actually enhances an establishment competitive advantage

in order to operate and survive anywhere as the global economic interactions

continuously becoming more liberalized with more freedom to invest in new

geographical market of varying uncertainties in various terms, thus the supremacy of

the fittest eventually dominates globally.

As the reference of [8] is referred, the paper is using Gatecycle program as an

assistant for simulation. There are 16 inputs parameters manipulation. They are

temperature of GT combustor exit, live steam, HP vaporizer, LP superheater, water

LTE and EH, duct burner temperature rise, pressure of LP steam, HP steam, and ST

extraction, natural gas ratio, flow rates of compressed air from GT and LP, GT air

compressor pressure ratio, efficiencies of heat exchange and steam re-heater. It was

proposed to have a mixture of CCGT with integration with steel plant. The air

separation unit (ASU) is also part of the system

6

1.3 Impact of Uncertainty in Power Business

The current economic, social, and political climate in which the electric power

industry operates has changed considerably in the last 40 years. Prior to the end of the

1950s, planning for the construction of plant facilities was basically straightforward

because it could be assumed that the load would at least double every 10 years.

Therefore, past trends provided a relatively simple guide for the future. During the

1960s, generation unit sizes increased and high voltage transmission and

interconnections between utilities expanded rapidly to take advantage of the

economics of scale. The utility industry economic environment was relatively stable

prior to the 1970s. Both inflation and interest rates were predictable, and

consequently costs did not change rapidly. Therefore, the uncertainties associated

with most aspects of utility finance were minimal, and economic studies could be

performed with some degree of certainty.

The oil embargo of the early 1970s disrupted the economic stability of the

utility industry. The industry was faced with escalating fuel costs in addition to the

possibility of supply interruptions. Furthermore, the United States was experiencing

rapid increases in interest rates. These factors represented a reversal of long-standing

trends. Public concern for depleting the earth's limited resources along with concern

for the environmental impact added to the challenges confronting the utility industry.

In addition, the cost of nuclear power was escalating due to new and much rigorous

regulations, which made it evident that nuclear power was not going to be a universal

supply for the world’s energy needs.

7

In view of reference [9], this paper introduces a method of energy planning by

using energy flow optimization model (EFOM). In this paper, the exploration of multi

types of plants and implementation of available saving energy techniques are put into

this study. It was shown also that the reduction of emission of the coal based power

plant.

The past decade has seen a growing recognition that policies that ignore

uncertainty often lead in the long run to unsatisfactory technical, social, and political

outcomes. As a result, many large corporations and federal agencies now routinely

employ decision analytic techniques that incorporate explicit treatment of uncertainty.

Uncertainty is a major issue facing electric utilities in planning and decision-making.

Substantial uncertainties exist concerning future load growth, construction times and

costs, performance of new resources, and the regulatory and economic environment

in which utilities operate. During the past decade, utilities have begun to use a variety

of analytical approaches to deal with these uncertainties. These methods include

sensitivity, scenario, portfolio, and probabilistic analyses. As typically applied, these

methods involve the use of a computer model that simulates utility operations over 20

or 30 years. Fuzzy numbers were also used to model non-statistical uncertainties in

engineering economic analysis.

Technology, in businesses aspect can be expressed as all the assets either

physical or non-physical (ideas, knowledge, processes, procedures and etc.) that are

being applied homogenously together to bring out the deliverable products either

physical or non-physical (such as services). In most businesses nowadays, the use or

the ability to use technology in their approach towards delivering intended products is

one of the key elements towards establishing competitive advantage. A classical

example to examine this advantage is in the case of an agricultural business

8

employing machineries in their operations versus an agricultural business that doesn’t

employ machineries but instead relying much on labor-intensive approach in their

operations. In a period of certainty, obviously the former would hold an advantage

over the later, but during a period of uncertainty, the elements which made up the

advantages might not be tolerated by these uncertainties, for example when there is a

an inflation of fuel price, an entity which rely much on machineries would have to

decide whether to absorb the spike in operation expenditure or to distribute it to the

market to which will definitely lower their competitive advantage significantly

brought about by possible market reactions. This example although crude and

simplistic in nature, but is sufficient to show just how much the approach of

technology can be affected by uncertainties. Therefore, by approaching technology

with versatility, uncertainties may be tolerated up to certain degree to which the

competitive advantage can still be upheld.

For any profit oriented organizations, whatever they do, whatever decisions

the top managements made, whatever approach (technological or technical, financial

and etc.) they applied, the final target of all these is no more than to achieve economic

objective of these establishments, in the sense of generating optimum wealth for

various purpose; expansion, new investments, upgrading, debt pay-up, and so on. So

after going through all the series of complexity, the final and most important variable

coming out from all these, is merely a simple numeric values of the economic cost or

price per base units of products, and from this value the other possibilities are

regularly calculated, decided and modified where possible in order to come out with

the best possible final value that can potentially tolerate for all other expectations.

There are few simulations have been carried out on the relation with power

plant. They are in reference [10]. This paper introduces the simulation and design of

9

fault logic simulation for the HP heater in the 210 MW thermal power plant. The

other sample is explored in reference [11].This project modeled the 2 gas turbines and

1 steam turbine configuration of CCGT by using the Matlab software. The data from

simulation are compared with real time plant.

1.4 Problem Statement

With respect to what had been discussed previously. It is now obvious that,

the power industries are becoming increasingly vulnerable towards various

uncertainties, especially economic uncertainties. Economic uncertainties such as

during the period of inflation as well as during the period of deflation would certainly

exert some effects on the economics of this industry. A simple way to define or

mathematically express the economics of an individual power entity is proposed as

follow, assuming a fully liberalized energy market:

Previous studies on the optimization of techno-economic relationship of

power plants had concluded that total or absolute optimization of this relationship up

to this moment is still unsolvable, but then again, certain categorical variables aspects

of the power plant can be potentially optimize to tolerate for pressure from external

circumstances such as various possibilities of economic uncertainties.

To do this, it is proposed that instead of trying to optimize the whole

interrelating variables, it could be easier or potentially reactive if only certain or

10

specific categorical aspect of the whole power plant business be optimized to achieve

the desired result. For that matter, certain categorical variables are considered or

assumed to be fixed while certain others are dynamic in nature, hence may be

predicted to certain value or extent which responds to the dynamics of various

probabilities coming from economic uncertainties, and finally certain other or a

specific categorical variables be manipulated or optimized to tolerate the dynamics of

the responding categorical variables.

This proposed study, predicts that the optimization of internal production

process variables or technical aspects of the major process components of combined

cycle power plants could potentially tolerate for the dynamic changes of the variables

that predictably responds to various probabilities that affects the economics and

operation of a power plant.

1.5 Objective of Study

a) To understand the operating concept of combined cycle gas turbine power

plant.

b) To studies and understand the detail design, operating concept, and safety

operation of fuel gas system.

11

c) To optimize and validate the new operation concept of fuel gas control valve

system.

1.6 Scope of Study

Since the general nature of the key subjects of the proposed topics are well

known to be quite broad as well as complex in nature, therefore several scope of

studies are put forward as the boundary to which this proposed study would

commence.

Apart from that, the technical aspect of the power plants will only be focused

on that regarding the process plants (production floor) and its major components as

well as its attaching variables, potentials and possibilities that can be related and

furthermore be manipulated for the purpose of this study.

The evaluation, discussion and conclusion on the optimization strategies

would be drawn on the basis of the real time on the recorded data used for this study

and therefore might be subjected to certain fixed limitation of this prescribed methods

and tools, hence the forms of which the results, data and information are being

processed and tabulated, in contrast with other available tools and methodological

approaches that are applicable in this field of studies.

12

1.7 Thesis structure

In chapter 2, we shall discuss the general principle of operation for the

combine cycle power plant. The 13E2 version is focused in this study. The combined

cycle plant selected has 3 main sections. They are 3 gas turbines, 3 HRSGs, and 1

steam turbine. Each section will be subdivided into smaller components for further

explanation on its function.

In chapter 3, the discussion will be on fuel gas system. It explained the

operation concept, the protection limits and the component involved such as the

control valve, burners, pilot control valve and the controllers.

Chapter 4 will show the results from the testing and procedure. Chapter 5 is

meant for the result and discussion. The next chapter is for conclusion and

recommendation. The final topic in this thesis would be the references and appendix.

127

REFERENCES

1. Keiichi Handa, Shigeru Matsumoto, Masashi Nakamoto, Naoshi Uchihira “An

Optimization Method for Investment and Maintenance Planning of Power

Plants under Uncertain Environments” IEICE Trans. Fundamentals, Vol.E88-

A, No.6 June 2005.

2. H.Emberger, Dr.D.Hofmann, C.Kolk “Economic Evaluation of Cycling Plants

– An Approach to Show the Value of Operational Flexibility.” PowerGen

Siemens AG 2007 Reference Power Plants.

3. Pratyush Nag, David Little, Damien Teehan, Kris Wetzl, David Elwood “Low

Load Operational Flexibility for Siemens G Class Gas Turbines” PowerGen

International, Orlando, Florida, December 2008.

4. Joshua Kovac “Advanced SGT6-500F Development” PowerGen

International, Orlando, Florida, December 2008.

5. Clifford Johnson, Barton Pepperman, Micheal Koenig, Khalil Abou-Jaoude,

Anil Gulati, Ali Moradia “Ultra Low Nox Combustion Technology”

PowerGen International, Orlando, Florida, December 2008.

6. T. Lu, K.S Wang “Analysis and Optimisation of A Cascading Power Cycle

with Liquefied Natural Gas (LNG) Cold Energy Recovery” Applied Thermal

Engineering, 29, 2009, 1478-1484.

7. Jacek Kaminski “The Impact of Liberalization of the Electricity Market on the

Hard Coal Mining Sector in Poland.” Energy Policy 37, 2009, 925-939.

8. M. Liszka, A. Ziebik “Economic Optimization of the Combined Cycle

Integrated with Multi-Product Gasification System” Energy Conversion and

Management, 50, 2009, 309-318.

128

9. J.Daniel, M. Dicorato, G. Forte, S. Iniyan, M. Trovato “A Methodology for

the Electrical Energy System Planning of Tamil Nadu State (India)” Energy

Policy 37, 2009, 904-914.

10. S.Srinivasan, P.Kanagasabapathy, K. Chitra, R. Pugazhendi, N.Selvaganesan

“Fault Simulation and Fuzzy Controller for High Pressure Heater in Thermal

Power Plant” Elektrika, 8(2), 2006, 5-12.

11. Faridah Mohamad Idris “Modeling of A Combine Cycle Power Plant”

Universiti Teknologi Malaysia, 2001, PSZ 19-16

12. Roya Ahmadi Ahangar, Abdolreza Sheykholeslami, Hamidreza Ghaffari

“Power Flow Modeling for Power Systems with Dynamic Flow Controller”

Elektrika, 10(2), 2008, 22-27.

13. R Gnanadass, Narayana Prasad Padhy, T.G. Palanivelu “A New Method for

the Transmission Congestion Management in the Restructured Power Market”

Elektrika, 9(1), 2007, 52-58.

14. J.O. Jaber “Photovoltaic and Gas Turbine System for Peak-Demand

Applications” International Journal of Engineering and Technology, 1(1),

2004, pp. 28-38.

15. Roointon Pavri, Gerald D. Moore “Gas Turbine Emission and Control” GE

Power Systems, GER4211, 2007, 03-01.

16. A. A. Rentizelas, I. P. Tatsiopoulos, A. Tolis “An Optimisation Model for

Multi-Biomass Tri-Generation Energy Supply” Biomass and Bio energy 33,

2009, 223-223.

17. Athnasios L. Chatzimouratidis, Petros A. Pilavachi “Technological, Economic

and Sustainability Evaluation of Power Plant using the Analytic Hierarchy

Process.” Energy Policy 37, 2009, 778-787.

18. Rainer Kurz “Gas Turbine Performance” Proceedings of The hirty-Forth

Turbomachinery Symposium, 2005.

129

19. Electric Machinery Committee “IEEE Standard for Cylindrical - Rotor 50 Hz

and 60 Hz Synchronous Generators Rated 10 MVA and Above” IEEE Std

C50.13, 2005.

20. International Standard “Rotating Electrical Machine – Part 3: Specification

Requirements for Cylindrical Rotor Synchronous Machine” IEC 2005, 60034-

3.

21. E. Smith “Main Generator Rotor Maintenance” Electric Power Research

Institute, 2006.