greta: wp5 meeting ongoing activities · 2018. 4. 18. · [uni en 10344 and 10348] q h...

The GRETA project is co-financed by the European Regional Development Fund through the Interreg Alpine Space programme.

GRETA: WP5 meeting –

ongoing activities

Pietro Z., Valentina D., Simon P., Roberto V., Antonio N.

(Eurac Research), Bolzano 17/04/2018

17/04/20182

GRETA WP5 meeting. 17th April 2018, Bolzano. See more at www.alpine-space.eu/projects/greta

Thermal energy demand

Morphological features of buildings

Building categories and function

Energy demand

http://www.alpine-space.eu/projects/greta

17/04/20183


The methodology consists in an energy balance that takes into account

(beside geometric features and period of construction of the buildings) the

monthly values of: HDD, solar radiation on the building, internal gains based

on floor surface.

Thermal energy demand

Qh = QL - QG

QG = solar gains on vertical surface + internal gains

QL = internal-external transmission + ventilation

[kWh]


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Building thermal energy demand

building system

[UNI EN 10344 and 10348]

losses gains

- = Qh


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Solar irradiation on build-up vertical surfaces of buildings (Sonthofen)


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The solar radiation value on build-up vertical surfaces was calculated by using the GRASS

r.sun module.

The main input data are:

• elevation raster map;

• aspect raster map;

• fixed slope value of 90 degrees (to simulate the vertical surface output for each raster

cell/pixel);

• atmospheric turbidity raster map (achieved interpolating Linke atmospheric turbidity data from

The SoDa Service, http://www.soda-pro.com/);

• albedo raster data (achieved interpolating albedo data distributed by The SoDa Service);

• horizon raster maps (step 5 degrees).

Solar irradiation on build-up vertical surfaces of buildings (Sonthofen)


http://www.soda-pro.com/

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Thermal demand of residential buildings (Valle d’Aosta)


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Data source: GeoZS

(resolution: 25x25 m)

Thermal demand of residential buildings (Cerkno)


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Energy demand

building system

[UNI EN 10344 and 10348]

Qh

𝜂𝑔 = 𝜂𝑒 ⋅ 𝜂𝑐 ⋅ 𝜂𝑑 ⋅ 𝜂𝑝

With:

ηg: total seasonal plant efficiency

ηe: emission efficiency

ηr: regulation efficiency

ηd: distribution efficiency

ηp: average seasonal production efficiency

𝑄𝑠𝑡 =𝑄ℎ𝜂𝑔

heating system building + heating plant


17/04/201810


Power peak

[UNI EN 10344 and 10348]

With:

Ph: power peak of the building demand

A: dispersing surface [m2]

U: transmission [W/m2/K]

Tin: internal temperature [K]

Tmin

: minimum temperature [K]

ηg: total seasonal plant efficiency

𝑄ℎ = 𝐴 ⋅ 𝑈 ⋅ 𝐻𝐷𝐷

𝑄ℎ

𝑃ℎ =𝐴 ⋅ 𝑈

𝜂𝑔⋅ 𝑇𝑏𝑎𝑠𝑒 − 𝑇𝑚𝑖𝑛


17/04/201811


Ground peak

[UNI EN 10344 and 10348]

With:

Gh: ground energy [Wh]

Qh: thermal energy demand of the building [Wh]

ΦHSPF

: Seasonal Performance Factor

𝐺ℎ =𝑄ℎ

1 +1

𝜙𝐻𝑆𝑃𝐹

𝑃𝑔ℎ =𝑃ℎ

1 +1

𝜙𝐻𝑆𝑃𝐹

ASHRAE to get BHE length and field characteristics


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Economic and financial feasibility

Using the power peak of the supply system and the BHE length

we can derive the two main costs:

𝐶𝑜𝑠𝑡𝐻𝑃 = 297.8 ⋅ 𝑃ℎ + 5313.4

𝐶𝑜𝑠𝑡𝐺𝑆𝐻𝐸 = 70 ⋅ 𝑙𝑒𝑛𝑔𝑡ℎ𝐵𝐻𝐸

There two costs together cover more than 70% of the total cost,

but since the other components of the system can change based

on how the plant is configured, we define a factor to assess the

total cost.

𝐶𝑜𝑠𝑡𝑖𝑛𝑣𝑒𝑠𝑡𝐵𝐻𝐸 = 𝐶𝑜𝑠𝑡𝐻𝑃 + 𝐶𝑜𝑠𝑡𝐺𝑆𝐻𝐸 ⋅ 𝑘 with k = 1.4

[Q. Lu et al. / Energy 125 (2017) 107-117]

[Rivoire, 2017]


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Economic and financial feasibility

Based on the Seasonal Performance Factor (SPF) the total energy that the HP

have to provide to the house, and the electricity costs, we can estimate the

operative costs of the plant.

𝐶𝑜𝑠𝑡𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑣𝑒𝐵𝐻𝐸 =

𝑄𝑠𝑡𝜙𝑆𝑃𝐹

⋅ 𝐶𝑜𝑠𝑡𝑒𝑙𝑒𝑐𝑡𝑟𝑖𝑐𝑖𝑡𝑦

𝐶𝑜𝑠𝑡𝑚𝑎𝑖𝑛𝑡𝑒𝑛𝑎𝑛𝑐𝑒𝐵𝐻𝐸 = 𝑄𝑠𝑡 ⋅ 𝑓𝑚

𝐶𝑜𝑠𝑡𝑣𝑎𝑟𝐵𝐻𝐸 = 𝐶𝑜𝑠𝑡𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑣𝑒

𝐵𝐻𝐸 + 𝐶𝑜𝑠𝑡𝑚𝑎𝑖𝑛𝑡𝑒𝑛𝑎𝑛𝑐𝑒𝐵𝐻𝐸

We characterized the investment, operative and maintenance costs for other technologies like:

natural gas boiler

gasoline boiler

biomass boiler

We compare the economic KPI.


17/04/201814


Deliverable 5.1

Title: Assessment of the NSGE considering economic and financial constraints

for the selected Pilot Areas

Description: A spatial explicit assessment of the economic and financial

feasibility of NSGE use for 3 pilot areas is published in the web-GIS developed

in WP4.

Deadline: 15th

May


17/04/201815


Deliverable 5.1

Title: Assessment of the NSGE considering economic and financial constraints

for the selected Pilot Areas A spatial explicit assessment of the economic and

financial feasibility of NSGE

Description: A spatial explicit assessment of the economic and financial

feasibility of NSGE use for 3 pilot areas is published in the Web-GIS developed

in WP4.

Deadline: 15th

MayJune


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Deliverable 5.1

Content of Deliverable 5.1

A spatial explicit assessment of the economic and financial feasibility of NSGE

Introduction

- Short project and context description

- Contents and objectives of the deliverable

General description of the methodology

Detailed description of the different steps

- Evaluation of the heating demand

- Evaluation of the potential and sizing of the system

- Economic analysis of the different technical solutions

Conclusion


17/04/201817


Deliverable 5.1

A spatial explicit assessment of the economic and financial feasibility of NSGE

Introduction

Short project and context description

- short project description

- short introduction of use of the NSGE into the energy planning procedure

- short description of the activities done within WP5

Contents and objectives of the deliverable

- this deliverable aims to explain what we mean as “spatial explicit assessment” of the

economic and financial feasibility and describe the methodology that we followed. The

analysis can support the development of energy strategies and energy plans for a

region/municipality.

- short description of the software and tools developed within the project.

- link between WP5 and other WPs activities.

- describe which other information are available in other GRETA deliverable.


17/04/201818


Deliverable 5.1

General description of the methodology

In the deliverable we describe how to perform a spatial explicit analysis of the economic and

financial figures of a certain area. We are not describing how to include this analysis in the energy

plans that requires to use all the other layers that are analysed in the previous WPs.

Link with other WPs.

To evaluate the economic and financial feasibility we need to:

Assess the NSGE potential:

geophysical features of the ground (WP4),

possible technical solutions (WP3),

existing regulation and legislative framework (WP2);

Assess the heating and cooling demand (WP5) or use energy consumption data if available;

Assess the size of the NSGE plant to supply the heat demand;

Assess the cost of the NSGE plants from WP3 data and, if available, from specific data from the

pilot area. Compute some KPI to evaluate the alternative technologies (NPV, IRR, etc).


17/04/201819


Deliverable 5.1


Analysis of the heating demand

Explain why we need to characterize the energy demand

Use the consumption data if available or assess the demand

Describe how we assessed the demand of the building stock

State the main limits of the described approach


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Deliverable 5.1


Evaluation of the potential and sizing of the system

The tool is part of a set of tools available to assess the energy potential of different renewable

energy sources (forest biomass residues, hydro power (run-of-river), etc.).

- Dimensioning the main components of the NSGE plant

- Highlight the limits of current implementation


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Deliverable 5.1

Economic analysis of the different technical solutions

- Assess the cost for the each components to estimate the financial investment.

- Assess the cost of the operative and maintenance costs.

- Compute the main KPI of the plant compared to other technological solution available.

- Discuss the main limits and potential problems of the described approach.

Conclusion


17/04/201822


Deliverable 5.2

Title: Report on the test of the integration of the NSGE into Energy Plans for the

selected Pilot Areas

Description: A report on the results of the test of the procedures and tools

developed in the WP to support the integration of NSGE in the selected Pilot

Areas into EPs.

Deadline: 15th

July


17/04/201823


Deliverable 5.2


Report on the test of the integration of the NSGE into Energy Plans for the selected

Pilot Areas

Introduction:

- Short introduction on why three pilot areas, link to D5.4.1.

- Short description of the methodology followed, link to D5.1.1.

- Short description of the tools developed, link to D5.1.2.

- Content and objectives of the deliverable, describing the preliminary work that it is

required to integrate the NSGE into the energy planning activities.


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Deliverable 5.2



Pilot Areas

Methodology:

- Selection of the three pilot areas (D5.4.1) and selection of the stakeholders (D6.1.1 –

ARPA VdA).

- Summary of the methodology described in detail in D5.1.1.

- Short description of the three pilot areas. Provide the main figures to describe the

context and the data available (GeoZS, ARPA VdA, TUM). Change in the legislative

framework that can affect the NSGE in the pilot areas (WP2).

- List of the data sets used (table, maps, etc.) and information provided during the

project meetings or bilateral talks.


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Deliverable 5.2



Pilot Areas

Results and discussion:

- Cerkno, SI

- Sonthofen, DE

- Valle d’Aosta, IT

For each Pilot Area describes the scenarios that were considered.

Conclusion


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Discussion


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Thank you for your attention


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greta: wp5 meeting ongoing activities · 2018. 4. 18. · [uni en 10344 and 10348] q h...

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