Optimization and Multicriteria Evaluation of District Heat Production and Storage

Risto Lahdelma; Genku Kayo; Elnaz Abdollahi; Pekka Salminen

doi:10.1007/978-3-030-11482-4_15

Optimization and Multicriteria Evaluation of District Heat Production and Storage

Risto Lahdelma, Genku Kayo, Elnaz Abdollahi, Pekka Salminen^*

^*Corresponding author for this work

Department of Energy and Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

4 Citations (Scopus)

Abstract

Climate change mitigation policy requires reducing dependence on fossil fuels and transition to low carbon energy production in district heating (DH). We study here inclusion of two kinds of renewable energy to a CHP based DH system in Finland: solar heat and ground source heat. In addition, we apply heat storages to balance the gap between production and fluctuating demand. The optimal operation of the extended systems is determined by a simulation and optimization model to minimize the operating costs. We evaluate the different possible extensions in terms of multiple economic, technical and environmental criteria using Stochastic Multicriteria Acceptability Analysis (SMAA). The results show that under Finnish conditions, ground source heat is more favourable than solar heat for DH.

Original language	English
Title of host publication	New Perspectives in Multiple Criteria Decision Making
Subtitle of host publication	Innovative Applications and Case Studies
Editors	Michalis Doumpos, José Rui Figueira, Salvatore Greco, Constantin Zopounidis
Publisher	Springer
Pages	371-396
Number of pages	26
ISBN (Electronic)	978-3-030-11482-4
ISBN (Print)	978-3-030-11481-7
DOIs	https://doi.org/10.1007/978-3-030-11482-4_15
Publication status	Published - 2019
MoE publication type	A3 Book section, Chapters in research books

Publication series

Name	Multiple Criteria Decision Making
ISSN (Print)	2366-0023
ISSN (Electronic)	2366-0031

Keywords

Carbon-neutral
District heating
Heat-only production
Multicriteria decision analysis
SMAA

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-030-11482-4_15

Cite this

Lahdelma, R., Kayo, G., Abdollahi, E., & Salminen, P. (2019). Optimization and Multicriteria Evaluation of District Heat Production and Storage. In M. Doumpos, J. R. Figueira, S. Greco, & C. Zopounidis (Eds.), New Perspectives in Multiple Criteria Decision Making: Innovative Applications and Case Studies (pp. 371-396). (Multiple Criteria Decision Making). Springer. https://doi.org/10.1007/978-3-030-11482-4_15

Lahdelma, Risto ; Kayo, Genku ; Abdollahi, Elnaz et al. / Optimization and Multicriteria Evaluation of District Heat Production and Storage. New Perspectives in Multiple Criteria Decision Making: Innovative Applications and Case Studies. editor / Michalis Doumpos ; José Rui Figueira ; Salvatore Greco ; Constantin Zopounidis. Springer, 2019. pp. 371-396 (Multiple Criteria Decision Making).

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title = "Optimization and Multicriteria Evaluation of District Heat Production and Storage",

abstract = "Climate change mitigation policy requires reducing dependence on fossil fuels and transition to low carbon energy production in district heating (DH). We study here inclusion of two kinds of renewable energy to a CHP based DH system in Finland: solar heat and ground source heat. In addition, we apply heat storages to balance the gap between production and fluctuating demand. The optimal operation of the extended systems is determined by a simulation and optimization model to minimize the operating costs. We evaluate the different possible extensions in terms of multiple economic, technical and environmental criteria using Stochastic Multicriteria Acceptability Analysis (SMAA). The results show that under Finnish conditions, ground source heat is more favourable than solar heat for DH.",

keywords = "Carbon-neutral, District heating, Heat-only production, Multicriteria decision analysis, SMAA",

author = "Risto Lahdelma and Genku Kayo and Elnaz Abdollahi and Pekka Salminen",

note = "Funding Information: This research has been funded, in part, by the Academy of Finland, project 298317. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.",

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Lahdelma, R, Kayo, G, Abdollahi, E & Salminen, P 2019, Optimization and Multicriteria Evaluation of District Heat Production and Storage. in M Doumpos, JR Figueira, S Greco & C Zopounidis (eds), New Perspectives in Multiple Criteria Decision Making: Innovative Applications and Case Studies. Multiple Criteria Decision Making, Springer, pp. 371-396. https://doi.org/10.1007/978-3-030-11482-4_15

Optimization and Multicriteria Evaluation of District Heat Production and Storage. / Lahdelma, Risto; Kayo, Genku; Abdollahi, Elnaz et al.
New Perspectives in Multiple Criteria Decision Making: Innovative Applications and Case Studies. ed. / Michalis Doumpos; José Rui Figueira; Salvatore Greco; Constantin Zopounidis. Springer, 2019. p. 371-396 (Multiple Criteria Decision Making).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

TY - CHAP

T1 - Optimization and Multicriteria Evaluation of District Heat Production and Storage

AU - Lahdelma, Risto

AU - Kayo, Genku

AU - Abdollahi, Elnaz

AU - Salminen, Pekka

PY - 2019

Y1 - 2019

N2 - Climate change mitigation policy requires reducing dependence on fossil fuels and transition to low carbon energy production in district heating (DH). We study here inclusion of two kinds of renewable energy to a CHP based DH system in Finland: solar heat and ground source heat. In addition, we apply heat storages to balance the gap between production and fluctuating demand. The optimal operation of the extended systems is determined by a simulation and optimization model to minimize the operating costs. We evaluate the different possible extensions in terms of multiple economic, technical and environmental criteria using Stochastic Multicriteria Acceptability Analysis (SMAA). The results show that under Finnish conditions, ground source heat is more favourable than solar heat for DH.

AB - Climate change mitigation policy requires reducing dependence on fossil fuels and transition to low carbon energy production in district heating (DH). We study here inclusion of two kinds of renewable energy to a CHP based DH system in Finland: solar heat and ground source heat. In addition, we apply heat storages to balance the gap between production and fluctuating demand. The optimal operation of the extended systems is determined by a simulation and optimization model to minimize the operating costs. We evaluate the different possible extensions in terms of multiple economic, technical and environmental criteria using Stochastic Multicriteria Acceptability Analysis (SMAA). The results show that under Finnish conditions, ground source heat is more favourable than solar heat for DH.

KW - Carbon-neutral

KW - District heating

KW - Heat-only production

KW - Multicriteria decision analysis

KW - SMAA

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U2 - 10.1007/978-3-030-11482-4_15

DO - 10.1007/978-3-030-11482-4_15

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SN - 978-3-030-11481-7

T3 - Multiple Criteria Decision Making

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BT - New Perspectives in Multiple Criteria Decision Making

A2 - Doumpos, Michalis

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Lahdelma R, Kayo G, Abdollahi E, Salminen P. Optimization and Multicriteria Evaluation of District Heat Production and Storage. In Doumpos M, Figueira JR, Greco S, Zopounidis C, editors, New Perspectives in Multiple Criteria Decision Making: Innovative Applications and Case Studies. Springer. 2019. p. 371-396. (Multiple Criteria Decision Making). doi: 10.1007/978-3-030-11482-4_15

Optimization and Multicriteria Evaluation of District Heat Production and Storage

Abstract

Publication series

Keywords

UN SDGs

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Other files and links

Fingerprint

STORE: Stochastic Optimization of Renewable Energy in Large Polygeneration Systems

Cite this

Optimization and Multicriteria Evaluation of District Heat Production and Storage

Abstract

Publication series

Keywords

UN SDGs

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Other files and links

Fingerprint

Projects

STORE: Stochastic Optimization of Renewable Energy in Large Polygeneration Systems

Cite this