Simulation of demand response on buildings and district heating production

Yuchen Ju; Joakim Lindholm; Moritz Verbeck; Juha Jokisalo; Risto Kosonen; Philipp Janßenc; Yantong Li; Hans Schäfers; Natasa Nord

doi:10.1051/e3sconf/202236213002

Simulation of demand response on buildings and district heating production

Yuchen Ju^*
, Joakim Lindholm
, Moritz Verbeck
, Juha Jokisalo
, Risto Kosonen
, Philipp Janßenc
, Yantong Li
, Hans Schäfers
, Natasa Nord

^*Tämän työn vastaava kirjoittaja

Energia- ja konetekniikan laitos

Hamburg University of Applied Sciences
Nanjing Tech University
Norwegian University of Science and Technology
Tallinn University of Technology

Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

107 Lataukset (Pure)

Abstrakti

Demand response (DR) has effectively maximized renewable energies integrated into energy supply systems. This paper investigated DR benefits on three building types and the district heating (DH) production of a community consisted by these buildings in German conditions. Firstly, the buildings and the DH production were simulated without DR by tools IDA-ICE and HGSO, separately. Secondly, the three buildings were simulated by a rule-based DR control. After that, the tool HGSO calculated the total production costs and CO2 emissions based on the power demand with DR. The results show 2.8%-4.8% heating cost savings by DR for different building types. For DH producers, DR application reduces the total DH demand and CO2 emissions by 3.8% and 32.3 %, respectively.

Alkuperäiskieli	Englanti
Artikkeli	13002
Julkaisu	E3S Web of Conferences
Vuosikerta	362
DOI - pysyväislinkit	https://doi.org/10.1051/e3sconf/202236213002
Tila	Julkaistu - 1 jouluk. 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	BuildSim-Nordic - Copenhagen, Tanska Kesto: 22 elok. 2021 → 23 elok. 2022 Konferenssinumero: 10

Rahoitus

The aim of this study is to identify the economic and environmental effects of the application of DR on both buildings and DH production. It was executed in the form of a co-simulation combined building simulation by IDA ICE and the optimization tool HGSO for energy production and price signal calculation. The results about the benefits of DR were shown below: For building owners, DR application cuts heat energy costs. Cost-savings are from 2.8%– 4.8% for different building types. The cost-saving rate of the simulated office building is the highest among the three building type cases. For the DH producers, the large-scale DR application increases 5.9% of generation profits and decreases the total DH demand and CO2 emissions by 3.8% and 32.3%, separately. The building-level results are relevant to the certain building types in this study with similar climate conditions and price characteristics of the studied DH production scenario. However, the DR control algorithm employed in this study is general, which could be adopted in any building type in different climate conditions and with different prices. In addition, although the production-level simulation results are typical of the studied DH production scenario, the methodology of DH production analysis is applicable for all production combinations. Building-level results indicate that DR control for space heating could effectively save DH energy costs, which could be an incentive for building owners to take action towards becoming more environmentally friendly. The large-scale application of DR could become economically and ecologically profitable for DH producers. The all reflect the benefits of DR utilization in DH systems. Acknowledgement This study is part of the Smart Pro HeaT – Smart Prosumer Heating Technologies, SUREFIT and FINEST Twins projects. Smart Proheat project is funded by Business Finland and private companies Caverion Ltd., Fourdeg Ltd., Halton Ltd., and Aalto University as well as the Federal Ministry for Economic Affairs and Energy of Germany in the project; EnEff: Wärme SmartProHeaT: Smart Prosumer Heating Technologies, Subproject: Integration of smart prosumers into smart thermal grids (Project number: 03ET1598). SUREFIT project is funded by European Union (Horizon 2020 programme, Grant number: 894511). FINEST Twins project is funded by European Union (Horizon 2020 programme, Grant No. 856602) and the Estonian government. Authors would like to thank the steering group of Smart Proheat project: M. Sc. Olli Nummelin and M. Sc. Nelli Melolinna from Caverion Ltd., M. Sc. Markku Makkonen from Fourdeg Ltd. and Dr. Panu Mustakallio from Halton Ltd. and the colleagues from University of Applied Sciences Hamburg: M.Sc. Jan Trosdorff for support and fruitful discussions. R ferences Ala-Kotila, P., Vainio, T. & Heinonen, J. (2020). Demand Response in District Heating Market— esults of the Field Tests in Student Apartment Buildings. Smart itiesC 3 (2), 157– 171.

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

SDG 7 – Edullinen ja puhdas energia
SDG 13 – Ilmastotoimet

Pääsy asiakirjaan

10.1051/e3sconf/202236213002Lisenssi: CC BY

e3sconf_bsn2022_13002Final published version, 562 KBLisenssi: CC BY

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

1 Aktiivinen
2 Päättynyt

-: FINEST TWINS GA856602Nieminen
Esquivias Canadas, A. (Projektin jäsen), Ingi, D. (Projektin jäsen), Klossner, S. (Projektin jäsen), Malhi, A. (Projektin jäsen), Vosough, S. (Projektin jäsen), Keyriläinen, T. (Projektin jäsen), Knapic, S. (Projektin jäsen), Olin, J. J. (Projektin jäsen), Khajavi Haghighat, S. (Projektin jäsen), Olkkonen, V. (Projektin jäsen), Pihlava, K. (Projektin jäsen), Tan, X. (Projektin jäsen), Kajosaari, A. (Projektin jäsen), Pinho, P. (Projektin jäsen), Apopei, I.-V. (Projektin jäsen), Jokisalo, J. (Projektin jäsen), Sipetas, C. (Projektin jäsen), Su, Y. (Projektin jäsen), Abolfazli, E. (Projektin jäsen), Bagheri Majdabadi, M. (Projektin jäsen), Bobrov, N. (Projektin jäsen), Marques de Carvalho Martins Canha, D. (Projektin jäsen), Espinosa, A. (Projektin jäsen), Limnell, J. (Projektin jäsen), Ghanbari, H. (Projektin jäsen), Malik, A. (Projektin jäsen), Ahmed, K. (Projektin jäsen), Pirilä, J. (Projektin jäsen), Tervo, S. (Projektin jäsen), Wallgren, K. (Projektin jäsen), Nzewi, L. (Projektin jäsen), Huotari, M. (Projektin jäsen), Koivunen, T. (Projektin jäsen), Kauppi, A. (Projektin jäsen), Saif, A. (Projektin jäsen), Rönkkö, J. (Projektin jäsen), Syri, S. (Projektin jäsen), Yeung, D. (Projektin jäsen), Toivio, T. (Projektin jäsen), Laguardia Tavares, P. (Projektin jäsen), Mäkelä, J. (Projektin jäsen), Toiskallio, K. (Projektin jäsen), Ainamo, A. (Projektin jäsen), Hyvönen, J. (Projektin jäsen), Kuzmanovski, V. (Projektin jäsen), Abdollahi, E. (Projektin jäsen), Dibaj, S. (Projektin jäsen), Yousefnezhad, N. (Projektin jäsen), Zhou, Z. (Projektin jäsen), Hajian, H. (Projektin jäsen), Doostmohammadian, M. (Projektin jäsen), Javanshir, N. (Projektin jäsen), Farjam, T. (Projektin jäsen), Moradpoor, I. (Projektin jäsen), Farsaei, A. (Projektin jäsen), Hollmen, J. (Projektin jäsen), Ju, Y. (Projektin jäsen), Kangassalo, P. (Projektin jäsen), Liu, Z. (Projektin jäsen), Bhusal, P. (Projektin jäsen), Avci, C. (Projektin jäsen), Bayrak, M. (Projektin jäsen), Liaquat, M. (Projektin jäsen), Ahdekivi, V. (Projektin jäsen), Fröhlich, K. (Projektin jäsen), Madhikermi, M. (Projektin jäsen), Agriesti, S. (Projektin jäsen), Koskinen, K. (Projektin jäsen), Mir, S. (Projektin jäsen), Anashin, P. (Projektin jäsen), Hiltunen, P. (Projektin jäsen), Helenius, O. (Projektin jäsen), Ojala, P. (Projektin jäsen), Österbacka, M. (Projektin jäsen), Nummi, P. (Projektin jäsen), Munilal Jain, K. (Projektin jäsen), Putta, A. (Projektin jäsen), Kovanen, E. (Projektin jäsen), Nieminen, M. (Projektin jäsen) & Salomaa, V. (Projektin jäsen)
01/12/2019 → 31/05/2027
Projekti: EU H2020 Framework program
Surefit: SUSTAINABLE SOLUTIONS FOR AFFORDABLE RETROFIT OF DOMESTIC BUILDINGS
Kosonen, R. (Vastuullinen johtaja), Jokisalo, J. (Projektin jäsen), Hirvonen, J. (Projektin jäsen), Wang, Y. (Projektin jäsen), Kilpeläinen, S. (Projektin jäsen) & Farahani, A. (Projektin jäsen)
01/09/2020 → 28/02/2025
Projekti: EU H2020 Framework program
SMART PROHEAT: SMART PROHEAT SMART PROSUMER HEATING TECHNOLOGIES
Kosonen, R. (Vastuullinen johtaja), Jokisalo, J. (Projektin jäsen), Kauppi, V. (Projektin jäsen) & Lindholm, J. (Projektin jäsen)
01/08/2018 → 30/07/2021
Projekti: Business Finland: Other research funding

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@article{ba70b44905be4d9689e56c69f946e4e4,

title = "Simulation of demand response on buildings and district heating production",

abstract = "Demand response (DR) has effectively maximized renewable energies integrated into energy supply systems. This paper investigated DR benefits on three building types and the district heating (DH) production of a community consisted by these buildings in German conditions. Firstly, the buildings and the DH production were simulated without DR by tools IDA-ICE and HGSO, separately. Secondly, the three buildings were simulated by a rule-based DR control. After that, the tool HGSO calculated the total production costs and CO2 emissions based on the power demand with DR. The results show 2.8\%-4.8\% heating cost savings by DR for different building types. For DH producers, DR application reduces the total DH demand and CO2 emissions by 3.8\% and 32.3 \%, respectively.",

author = "Yuchen Ju and Joakim Lindholm and Moritz Verbeck and Juha Jokisalo and Risto Kosonen and Philipp Jan{\ss}enc and Yantong Li and Hans Sch{\"a}fers and Natasa Nord",

note = "| openaire: EC/HE/894511/EU//SUREFIT | openaire: EC/HE/856602/EU//FINEST TWINS Funding Information: The aim of this study is to identify the economic and environmental effects of the application of DR on both buildings and DH production. It was executed in the form of a co-simulation combined building simulation by IDA ICE and the optimization tool HGSO for energy production and price signal calculation. The results about the benefits of DR were shown below: For building owners, DR application cuts heat energy costs. Cost-savings are from 2.8\%{\textendash} 4.8\% for different building types. The cost-saving rate of the simulated office building is the highest among the three building type cases. For the DH producers, the large-scale DR application increases 5.9\% of generation profits and decreases the total DH demand and CO2 emissions by 3.8\% and 32.3\%, separately. The building-level results are relevant to the certain building types in this study with similar climate conditions and price characteristics of the studied DH production scenario. However, the DR control algorithm employed in this study is general, which could be adopted in any building type in different climate conditions and with different prices. In addition, although the production-level simulation results are typical of the studied DH production scenario, the methodology of DH production analysis is applicable for all production combinations. Building-level results indicate that DR control for space heating could effectively save DH energy costs, which could be an incentive for building owners to take action towards becoming more environmentally friendly. The large-scale application of DR could become economically and ecologically profitable for DH producers. The all reflect the benefits of DR utilization in DH systems. Acknowledgement This study is part of the Smart Pro HeaT {\textendash} Smart Prosumer Heating Technologies, SUREFIT and FINEST Twins projects. Smart Proheat project is funded by Business Finland and private companies Caverion Ltd., Fourdeg Ltd., Halton Ltd., and Aalto University as well as the Federal Ministry for Economic Affairs and Energy of Germany in the project; EnEff: W{\"a}rme SmartProHeaT: Smart Prosumer Heating Technologies, Subproject: Integration of smart prosumers into smart thermal grids (Project number: 03ET1598). SUREFIT project is funded by European Union (Horizon 2020 programme, Grant number: 894511). FINEST Twins project is funded by European Union (Horizon 2020 programme, Grant No. 856602) and the Estonian government. Authors would like to thank the steering group of Smart Proheat project: M. Sc. Olli Nummelin and M. Sc. Nelli Melolinna from Caverion Ltd., M. Sc. Markku Makkonen from Fourdeg Ltd. and Dr. Panu Mustakallio from Halton Ltd. and the colleagues from University of Applied Sciences Hamburg: M.Sc. Jan Trosdorff for support and fruitful discussions. R ferences Ala-Kotila, P., Vainio, T. \& Heinonen, J. (2020). Demand Response in District Heating Market{\textemdash} esults of the Field Tests in Student Apartment Buildings. Smart itiesC 3 (2), 157{\textendash} 171. Publisher Copyright: {\textcopyright} 2022 The Authors, published by EDP Sciences.; BuildSim-Nordic, BSN ; Conference date: 22-08-2021 Through 23-08-2022",

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day = "1",

doi = "10.1051/e3sconf/202236213002",

language = "English",

volume = "362",

journal = "E3S Web of Conferences",

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TY - JOUR

T1 - Simulation of demand response on buildings and district heating production

AU - Ju, Yuchen

AU - Lindholm, Joakim

AU - Verbeck, Moritz

AU - Jokisalo, Juha

AU - Kosonen, Risto

AU - Janßenc, Philipp

AU - Li, Yantong

AU - Schäfers, Hans

AU - Nord, Natasa

N1 - Conference code: 10

PY - 2022/12/1

Y1 - 2022/12/1

N2 - Demand response (DR) has effectively maximized renewable energies integrated into energy supply systems. This paper investigated DR benefits on three building types and the district heating (DH) production of a community consisted by these buildings in German conditions. Firstly, the buildings and the DH production were simulated without DR by tools IDA-ICE and HGSO, separately. Secondly, the three buildings were simulated by a rule-based DR control. After that, the tool HGSO calculated the total production costs and CO2 emissions based on the power demand with DR. The results show 2.8%-4.8% heating cost savings by DR for different building types. For DH producers, DR application reduces the total DH demand and CO2 emissions by 3.8% and 32.3 %, respectively.

AB - Demand response (DR) has effectively maximized renewable energies integrated into energy supply systems. This paper investigated DR benefits on three building types and the district heating (DH) production of a community consisted by these buildings in German conditions. Firstly, the buildings and the DH production were simulated without DR by tools IDA-ICE and HGSO, separately. Secondly, the three buildings were simulated by a rule-based DR control. After that, the tool HGSO calculated the total production costs and CO2 emissions based on the power demand with DR. The results show 2.8%-4.8% heating cost savings by DR for different building types. For DH producers, DR application reduces the total DH demand and CO2 emissions by 3.8% and 32.3 %, respectively.

UR - https://www.scopus.com/pages/publications/85146914993

U2 - 10.1051/e3sconf/202236213002

DO - 10.1051/e3sconf/202236213002

M3 - Conference article

AN - SCOPUS:85146914993

SN - 2555-0403

VL - 362

JO - E3S Web of Conferences

JF - E3S Web of Conferences

M1 - 13002

T2 - BuildSim-Nordic

Y2 - 22 August 2021 through 23 August 2022

ER -

Simulation of demand response on buildings and district heating production

Abstrakti

Rahoitus

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

-: FINEST TWINS GA856602Nieminen

Surefit: SUSTAINABLE SOLUTIONS FOR AFFORDABLE RETROFIT OF DOMESTIC BUILDINGS

SMART PROHEAT: SMART PROHEAT SMART PROSUMER HEATING TECHNOLOGIES

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