Optimization of power-to-heat flexibility for residential buildings in response to day-ahead electricity price

Increasing the penetration of renewable power in Denmark, demand-side flexibility is offered as a workable solution to hedge against the intermittency and volatility of renewable energy. In the residential sector, heat pumps are economic alternatives for district heating to unlock heat flexibility i...

Full description

Saved in:
Bibliographic Details
Published in:Energy and buildings Vol. 232; p. 110665
Main Authors: Golmohamadi, Hessam, Guldstrand Larsen, Kim, Gjøl Jensen, Peter, Riaz Hasrat, Imran
Format: Journal Article
Language:English
Published: Lausanne Elsevier B.V 01.02.2021
Elsevier BV
Subjects:
ISSN:0378-7788, 1872-6178
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Increasing the penetration of renewable power in Denmark, demand-side flexibility is offered as a workable solution to hedge against the intermittency and volatility of renewable energy. In the residential sector, heat pumps are economic alternatives for district heating to unlock heat flexibility in response to renewable power availability. This paper proposes a novel economic approach to optimize the heat consumption of a single responsive building with multiple rooms. The suggested approach makes it possible to set different temperature zones for the rooms based on the occupancy patterns. To provide power system flexibility, an Economic Model Predictive Control (EMPC) is designed. The EMPC adjusts heat consumption in response to the electricity price. Integration of the heat flexibility into the power system, two types of heat flexibilities are investigated, including thermal inertia of rooms and thermal storage of buffer. To increase the applicability of the problem, real sensor data of a Danish residential building is used to estimate the constant parameters of the thermal dynamic. To achieve the aim, a model identification method is developed to estimate the constant factors based on the maximum likelihood function. Finally, the performance of the suggested approach is examined in response to the day-ahead electricity price of the Danish Electricity Market. The results showed that the suggested approach not only ensures power system flexibility but also decreases the energy consumption cost of the building up to 37% a week.
AbstractList Increasing the penetration of renewable power in Denmark, demand-side flexibility is offered as a workable solution to hedge against the intermittency and volatility of renewable energy. In the residential sector, heat pumps are economic alternatives for district heating to unlock heat flexibility in response to renewable power availability. This paper proposes a novel economic approach to optimize the heat consumption of a single responsive building with multiple rooms. The suggested approach makes it possible to set different temperature zones for the rooms based on the occupancy patterns. To provide power system flexibility, an Economic Model Predictive Control (EMPC) is designed. The EMPC adjusts heat consumption in response to the electricity price. Integration of the heat flexibility into the power system, two types of heat flexibilities are investigated, including thermal inertia of rooms and thermal storage of buffer. To increase the applicability of the problem, real sensor data of a Danish residential building is used to estimate the constant parameters of the thermal dynamic. To achieve the aim, a model identification method is developed to estimate the constant factors based on the maximum likelihood function. Finally, the performance of the suggested approach is examined in response to the day-ahead electricity price of the Danish Electricity Market. The results showed that the suggested approach not only ensures power system flexibility but also decreases the energy consumption cost of the building up to 37% a week.
ArticleNumber 110665
Author Guldstrand Larsen, Kim
Gjøl Jensen, Peter
Golmohamadi, Hessam
Riaz Hasrat, Imran
Author_xml – sequence: 1
  givenname: Hessam
  surname: Golmohamadi
  fullname: Golmohamadi, Hessam
  email: hessamgolmoh@cs.aau.dk
– sequence: 2
  givenname: Kim
  surname: Guldstrand Larsen
  fullname: Guldstrand Larsen, Kim
– sequence: 3
  givenname: Peter
  surname: Gjøl Jensen
  fullname: Gjøl Jensen, Peter
– sequence: 4
  givenname: Imran
  surname: Riaz Hasrat
  fullname: Riaz Hasrat, Imran
BookMark eNqFkE1LAzEQhoNUsFV_ghDwvDXZtckuHkSKX1DwoueQJhOdsiZrkqr115taT148DSTzvDPzTMjIBw-EnHA25YyLs9UU_HKNvZ3WrC5vnAkx2yNj3sq6Ely2IzJmjWwrKdv2gExSWjHGxEzyMfEPQ8ZX_NIZg6fB0SF8QKxyqF5AZ-p6-MQl9pg31IVIIyS04DPqnv6MRP-cKPrtxxB8ApoDtXpT6YJbCj2YHNFs8aFUOCL7TvcJjn_rIXm6uX6c31WLh9v7-dWiMk0jcwWd5NIBCCc7xlzNa2CdO2-14EYyY8DacoHUzkBTG6uXTDutTSdt54wwtjkkp7vcIYa3NaSsVmEdfRmp6vO2ZHaC89J1sesyMaQUwamy6Y-JHDX2ijO1FaxW6lew2gpWO8GFnv2hy4mvOm7-5S53HBQB7whRJYPgy1EYiy5lA_6T8A2ZC536
CitedBy_id crossref_primary_10_1016_j_enconman_2023_117183
crossref_primary_10_1186_s42162_022_00223_6
crossref_primary_10_1016_j_apenergy_2025_125271
crossref_primary_10_1016_j_jobe_2022_105683
crossref_primary_10_3390_en17184670
crossref_primary_10_1016_j_apenergy_2021_117629
crossref_primary_10_1016_j_rser_2022_112200
crossref_primary_10_1016_j_egyr_2024_10_034
crossref_primary_10_1016_j_renene_2025_123111
crossref_primary_10_3390_su13094681
crossref_primary_10_3390_app15116273
crossref_primary_10_1016_j_enbuild_2023_113698
crossref_primary_10_1016_j_jobe_2021_102828
crossref_primary_10_3390_smartcities4030063
crossref_primary_10_1016_j_jobe_2021_102425
crossref_primary_10_1016_j_est_2021_103249
crossref_primary_10_1016_j_segan_2023_101072
crossref_primary_10_1016_j_apenergy_2022_118947
crossref_primary_10_1016_j_apenergy_2021_116802
crossref_primary_10_3390_buildings13102663
crossref_primary_10_3390_smartcities5030045
crossref_primary_10_1016_j_rser_2021_111963
crossref_primary_10_3390_su14137916
crossref_primary_10_3389_fenrg_2023_1271934
crossref_primary_10_1016_j_apenergy_2023_122231
crossref_primary_10_1016_j_enbuild_2025_115345
crossref_primary_10_3390_app122110758
crossref_primary_10_3390_buildings12030289
crossref_primary_10_1016_j_egyr_2022_08_015
crossref_primary_10_1016_j_enbuild_2024_114733
crossref_primary_10_1016_j_jobe_2021_103286
crossref_primary_10_1016_j_scico_2023_102987
crossref_primary_10_1016_j_renene_2022_04_001
crossref_primary_10_3390_su13115792
crossref_primary_10_3390_en14041060
Cites_doi 10.1016/j.apenergy.2020.114763
10.1016/j.energy.2017.11.029
10.1016/j.energy.2020.117418
10.3390/ma12020202
10.1016/j.apenergy.2019.01.097
10.1016/j.apenergy.2020.115751
10.1016/j.apenergy.2019.114292
10.1016/j.apenergy.2019.03.038
10.1016/j.energy.2018.03.034
10.1016/j.enbuild.2016.07.009
10.1016/j.scs.2019.101468
10.1007/s12667-019-00352-0
10.1016/j.enbuild.2008.02.016
10.1016/j.apenergy.2014.07.019
10.1016/j.apenergy.2018.09.212
10.1016/j.automatica.2003.10.001
10.3390/en11123310
10.1016/j.apenergy.2019.114476
10.1016/j.apenergy.2016.09.016
10.1016/j.apenergy.2019.03.103
10.1016/j.energy.2016.07.009
10.1016/j.applthermaleng.2018.01.035
10.1016/j.apenergy.2014.04.081
10.1109/TIE.2019.2899562
10.1016/j.energy.2018.01.072
10.1016/j.apenergy.2017.11.036
10.1016/j.apenergy.2017.11.080
10.1016/j.ijepes.2018.12.020
10.1016/j.apenergy.2020.115411
10.1016/j.apenergy.2019.01.199
10.1016/j.energy.2020.117650
10.1016/j.apenergy.2016.07.055
10.1016/j.ijepes.2013.02.015
ContentType Journal Article
Copyright 2020 Elsevier B.V.
Copyright Elsevier BV Feb 1, 2021
Copyright_xml – notice: 2020 Elsevier B.V.
– notice: Copyright Elsevier BV Feb 1, 2021
DBID AAYXX
CITATION
7ST
8FD
C1K
F28
FR3
KR7
SOI
DOI 10.1016/j.enbuild.2020.110665
DatabaseName CrossRef
Environment Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
ANTE: Abstracts in New Technology & Engineering
Engineering Research Database
Civil Engineering Abstracts
Environment Abstracts
DatabaseTitle CrossRef
Civil Engineering Abstracts
Engineering Research Database
Technology Research Database
Environment Abstracts
ANTE: Abstracts in New Technology & Engineering
Environmental Sciences and Pollution Management
DatabaseTitleList Civil Engineering Abstracts

DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Economics
EISSN 1872-6178
ExternalDocumentID 10_1016_j_enbuild_2020_110665
S0378778820334514
GroupedDBID --M
-~X
.~1
0R~
1B1
1~.
1~5
4.4
457
4G.
5GY
5VS
7-5
71M
8P~
9JM
9JN
AABNK
AACTN
AAEDT
AAEDW
AAHCO
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AARJD
AAXUO
ABFYP
ABJNI
ABLST
ABMAC
ABYKQ
ACDAQ
ACGFS
ACIWK
ACRLP
ADBBV
ADEZE
ADTZH
AEBSH
AECPX
AEKER
AENEX
AFKWA
AFRAH
AFTJW
AFXIZ
AGHFR
AGUBO
AGYEJ
AHEUO
AHHHB
AHIDL
AHJVU
AIEXJ
AIKHN
AITUG
AJOXV
AKIFW
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
AXJTR
BELTK
BJAXD
BKOJK
BLECG
BLXMC
CS3
DU5
EBS
EFJIC
EFLBG
EO8
EO9
EP2
EP3
FDB
FIRID
FNPLU
FYGXN
G-Q
GBLVA
IHE
J1W
JARJE
JJJVA
KCYFY
KOM
LY6
LY7
M41
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
RNS
ROL
SDF
SDG
SES
SPC
SPCBC
SSJ
SSR
SST
SSZ
T5K
~02
~G-
--K
29G
9DU
AAQXK
AATTM
AAXKI
AAYWO
AAYXX
ABFNM
ABWVN
ABXDB
ACLOT
ACNNM
ACRPL
ACVFH
ADCNI
ADMUD
ADNMO
AEIPS
AEUPX
AFJKZ
AFPUW
AGQPQ
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
ASPBG
AVWKF
AZFZN
CITATION
EFKBS
EJD
FEDTE
FGOYB
G-2
HVGLF
HZ~
R2-
RPZ
SAC
SET
SEW
WUQ
ZMT
ZY4
~HD
7ST
8FD
AGCQF
C1K
F28
FR3
KR7
SOI
ID FETCH-LOGICAL-c337t-e9717fee6f7900f212e09f48a61c70ccedd0007afce32cdab0afaac97d9fc6cd3
ISICitedReferencesCount 47
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000607050800006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0378-7788
IngestDate Wed Aug 13 04:18:30 EDT 2025
Sat Nov 29 07:09:07 EST 2025
Tue Nov 18 21:44:58 EST 2025
Fri Feb 23 02:49:17 EST 2024
IsPeerReviewed true
IsScholarly true
Keywords Day-ahead market
Heat pump
economic MPC
Flexibility
Heat consumption
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c337t-e9717fee6f7900f212e09f48a61c70ccedd0007afce32cdab0afaac97d9fc6cd3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
PQID 2489009611
PQPubID 2045483
ParticipantIDs proquest_journals_2489009611
crossref_citationtrail_10_1016_j_enbuild_2020_110665
crossref_primary_10_1016_j_enbuild_2020_110665
elsevier_sciencedirect_doi_10_1016_j_enbuild_2020_110665
PublicationCentury 2000
PublicationDate 2021-02-01
2021-02-00
20210201
PublicationDateYYYYMMDD 2021-02-01
PublicationDate_xml – month: 02
  year: 2021
  text: 2021-02-01
  day: 01
PublicationDecade 2020
PublicationPlace Lausanne
PublicationPlace_xml – name: Lausanne
PublicationTitle Energy and buildings
PublicationYear 2021
Publisher Elsevier B.V
Elsevier BV
Publisher_xml – name: Elsevier B.V
– name: Elsevier BV
References Dominković, Junker, Lindberg, Madsen (b0080) 2020; 260
Peeters, Van der Veken, Hens, Helsen, D’haeseleer (b0150) 2008; 40
Wang, Zhi, Jia, Hou, Zhang, Du, Wang, Fan (b0040) 2019; 240
Vivian, Quaggiotto, Zarrella (b0045) 2020; 275
Arasteh, Parsa Moghaddam, Sheikh-El-Eslami, Abdollahi (b0025) 2013; 51
Kristensen, Madsen, Jørgensen (b0185) 2004; 40
Finck, Li, Kramer, Zeiler (b0050) 2018; 209
Staino, Nagpal, Basu (b0175) 2016; 128
Wesselink, Liu, Koornneef, van den Broek (b0105) 2018; 147
Tang, Wang (b0165) 2019; 242
Sommer, Sulzer, Wetter, Sotnikov, Mennel, Stettler (b0085) 2020; 199
De Schepper, Paulus, Bolly, Hermans, Lesparre, Robert (b0135) 2019; 242
Golmohamadi, Keypour, Bak-Jensen, Radhakrishna Pillai (b0010) 2019; 47
Zheng, Zhou, Zhao, Wang (b0065) 2018; 211
Vandermeulen, van der Heijde, Helsen (b0075) 2018; 151
Golmohamadi, Keypour, Bak-Jensen, Pillai (b0005) 2019; 107
Williams, Short, Crosbie (b0055) 2018; 133
Pan, Guo, Sun (b0060) 2017; 192
“CTSM-R - Continuous Time Stochastic Modelling for R.” DTU, Denmark, Copenhagen, 2020, [Online]. Available: http://ctsm.info/.
Golmohamadi, Keypour, Bak-Jensen, Pillai, Khooban (b0020) 2020; 67
Rune Juhl, N. R. Kristensen, P. Bacher, J. Kloppenborg, and H. Madsen, “Grey-box modeling of the heat dynamics of a building with CTSM-R,” 2017.
Blanco, Andersen, Guericke, Madsen (b0115) 2020; 11
Nabavitabatabayi, Haghighat, Moreau, Sra (b0130) 2014; 129
Vandermeulen, Van Oevelen, van der Heijde, Helsen (b0090) 2020; 201
“Nordic Electricity Market,” 2020. https://www.nordpoolgroup.com/.
Wu, Gu, Xu, Jiang, Lu, Zhao (b0070) 2018; 232
Guo, Zhu, Zhang, Yang (b0140) 2020; 264
Powell, Kim, Cole, Kapoor, Mojica, Hedengren, Edgar (b0125) 2016; 113
I. Blanco, D. Guericke, A. N. Andersen, and H. Madsen, “Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production,” Energies, vol. 11, no. 12, 2018, doi: 10.3390/en11123310.
Gao, Xu, Wang (b0100) 2020; 262
Ciampi, Rosato, Sibilio (b0110) 2018; 143
Golmohamadi (b0015) 2020
“Euro Heat and Power,” 2020. https://www.euroheat.org/knowledge-hub/district-energy-denmark/.
Daryabari, Keypour, Golmohamadi (b0030) 2020; 279
Kitapbayev, Moriarty, Mancarella (b0155) 2015; 137
P. Hietaharju, M. Ruusunen, K. Leiviskä, “Enabling Demand Side Management: Heat Demand Forecasting at City Level,” Materials (Basel)., vol. 12, no. 2, 2019, doi: 10.3390/ma12020202.
Omu, Hsieh, Orehounig (b0095) 2016; 180
Kuboth, Heberle, König-Haagen, Brüggemann (b0170) 2019; 240
Vinther, Green, Jensen, Bendtsen (b0195) 2017; 50
Werner (b0145) 2013
Golmohamadi (10.1016/j.enbuild.2020.110665_b0010) 2019; 47
Nabavitabatabayi (10.1016/j.enbuild.2020.110665_b0130) 2014; 129
Kitapbayev (10.1016/j.enbuild.2020.110665_b0155) 2015; 137
Vinther (10.1016/j.enbuild.2020.110665_b0195) 2017; 50
10.1016/j.enbuild.2020.110665_b0120
Vandermeulen (10.1016/j.enbuild.2020.110665_b0090) 2020; 201
Kristensen (10.1016/j.enbuild.2020.110665_b0185) 2004; 40
10.1016/j.enbuild.2020.110665_b0200
Omu (10.1016/j.enbuild.2020.110665_b0095) 2016; 180
Williams (10.1016/j.enbuild.2020.110665_b0055) 2018; 133
10.1016/j.enbuild.2020.110665_b0180
10.1016/j.enbuild.2020.110665_b0160
Golmohamadi (10.1016/j.enbuild.2020.110665_b0005) 2019; 107
Vandermeulen (10.1016/j.enbuild.2020.110665_b0075) 2018; 151
Wu (10.1016/j.enbuild.2020.110665_b0070) 2018; 232
Dominković (10.1016/j.enbuild.2020.110665_b0080) 2020; 260
Daryabari (10.1016/j.enbuild.2020.110665_b0030) 2020; 279
Finck (10.1016/j.enbuild.2020.110665_b0050) 2018; 209
Pan (10.1016/j.enbuild.2020.110665_b0060) 2017; 192
Powell (10.1016/j.enbuild.2020.110665_b0125) 2016; 113
Guo (10.1016/j.enbuild.2020.110665_b0140) 2020; 264
Gao (10.1016/j.enbuild.2020.110665_b0100) 2020; 262
Werner (10.1016/j.enbuild.2020.110665_b0145) 2013
Arasteh (10.1016/j.enbuild.2020.110665_b0025) 2013; 51
Ciampi (10.1016/j.enbuild.2020.110665_b0110) 2018; 143
Staino (10.1016/j.enbuild.2020.110665_b0175) 2016; 128
10.1016/j.enbuild.2020.110665_b0035
Sommer (10.1016/j.enbuild.2020.110665_b0085) 2020; 199
Tang (10.1016/j.enbuild.2020.110665_b0165) 2019; 242
10.1016/j.enbuild.2020.110665_b0190
De Schepper (10.1016/j.enbuild.2020.110665_b0135) 2019; 242
Kuboth (10.1016/j.enbuild.2020.110665_b0170) 2019; 240
Golmohamadi (10.1016/j.enbuild.2020.110665_b0020) 2020; 67
Zheng (10.1016/j.enbuild.2020.110665_b0065) 2018; 211
Wesselink (10.1016/j.enbuild.2020.110665_b0105) 2018; 147
Golmohamadi (10.1016/j.enbuild.2020.110665_b0015) 2020
Wang (10.1016/j.enbuild.2020.110665_b0040) 2019; 240
Peeters (10.1016/j.enbuild.2020.110665_b0150) 2008; 40
Vivian (10.1016/j.enbuild.2020.110665_b0045) 2020; 275
Blanco (10.1016/j.enbuild.2020.110665_b0115) 2020; 11
References_xml – volume: 133
  start-page: 97
  year: 2018
  end-page: 106
  ident: b0055
  article-title: On the use of thermal inertia in building stock to leverage decentralised demand side frequency regulation services
  publication-title: Appl. Therm. Eng.
– volume: 211
  start-page: 865
  year: 2018
  end-page: 874
  ident: b0065
  article-title: Integrated heat and power dispatch truly utilizing thermal inertia of district heating network for wind power integration
  publication-title: Appl. Energy
– volume: 199
  start-page: 117418
  year: 2020
  ident: b0085
  article-title: The reservoir network: A new network topology for district heating and cooling
  publication-title: Energy
– volume: 151
  start-page: 103
  year: 2018
  end-page: 115
  ident: b0075
  article-title: Controlling district heating and cooling networks to unlock flexibility: A review
  publication-title: Energy
– volume: 51
  start-page: 153
  year: 2013
  end-page: 161
  ident: b0025
  article-title: Integrating commercial demand response resources with unit commitment
  publication-title: Int. J. Electr. Power Energy Syst.
– reference: “Euro Heat and Power,” 2020. https://www.euroheat.org/knowledge-hub/district-energy-denmark/.
– volume: 11
  start-page: 1137
  year: 2020
  end-page: 1156
  ident: b0115
  article-title: A novel bidding method for combined heat and power units in district heating systems
  publication-title: Energy Syst
– reference: “CTSM-R - Continuous Time Stochastic Modelling for R.” DTU, Denmark, Copenhagen, 2020, [Online]. Available: http://ctsm.info/.
– volume: 129
  start-page: 253
  year: 2014
  end-page: 260
  ident: b0130
  article-title: Numerical analysis of a thermally enhanced domestic hot water tank
  publication-title: Appl. Energy
– volume: 40
  start-page: 225
  year: 2004
  end-page: 237
  ident: b0185
  article-title: Parameter estimation in stochastic grey-box models
  publication-title: Automatica
– volume: 50
  start-page: 7381
  year: 2017
  end-page: 7388
  ident: b0195
  article-title: “Predictive Control of Hydronic Floor Heating Systems using Neural Networks and
  publication-title: Genetic Algorithms
– volume: 201
  start-page: 117650
  year: 2020
  ident: b0090
  article-title: A simulation-based evaluation of substation models for network flexibility characterisation in district heating networks
  publication-title: Energy
– volume: 262
  start-page: 114476
  year: 2020
  ident: b0100
  article-title: Experimental study on a double-stage absorption solar thermal storage system with enhanced energy storage density
  publication-title: Appl. Energy
– volume: 143
  start-page: 757
  year: 2018
  end-page: 771
  ident: b0110
  article-title: Thermo-economic sensitivity analysis by dynamic simulations of a small Italian solar district heating system with a seasonal borehole thermal energy storage
  publication-title: Energy
– volume: 240
  start-page: 372
  year: 2019
  end-page: 385
  ident: b0170
  article-title: Economic model predictive control of combined thermal and electric residential building energy systems
  publication-title: Appl. Energy
– year: 2020
  ident: b0015
  article-title: Operational scheduling of responsive prosumer farms for day-ahead peak shaving by agricultural demand response aggregators
  publication-title: Int. J. Energy Res.
– reference: Rune Juhl, N. R. Kristensen, P. Bacher, J. Kloppenborg, and H. Madsen, “Grey-box modeling of the heat dynamics of a building with CTSM-R,” 2017.
– volume: 147
  start-page: 477
  year: 2018
  end-page: 489
  ident: b0105
  article-title: Conceptual market potential framework of high temperature aquifer thermal energy storage - A case study in the Netherlands
  publication-title: Energy
– volume: 180
  start-page: 313
  year: 2016
  end-page: 326
  ident: b0095
  article-title: Mixed integer linear programming for the design of solar thermal energy systems with short-term storage
  publication-title: Appl. Energy
– volume: 232
  start-page: 607
  year: 2018
  end-page: 616
  ident: b0070
  article-title: Bi-level optimization model for integrated energy system considering the thermal comfort of heat customers
  publication-title: Appl. Energy
– volume: 40
  start-page: 1446
  year: 2008
  end-page: 1455
  ident: b0150
  article-title: Control of heating systems in residential buildings: Current practice
  publication-title: Energy Build.
– reference: P. Hietaharju, M. Ruusunen, K. Leiviskä, “Enabling Demand Side Management: Heat Demand Forecasting at City Level,” Materials (Basel)., vol. 12, no. 2, 2019, doi: 10.3390/ma12020202.
– volume: 279
  start-page: 115751
  year: 2020
  ident: b0030
  article-title: Stochastic energy management of responsive plug-in electric vehicles characterizing parking lot aggregators
  publication-title: Appl. Energy
– volume: 240
  start-page: 341
  year: 2019
  end-page: 358
  ident: b0040
  article-title: Optimal scheduling strategy of district integrated heat and power system with wind power and multiple energy stations considering thermal inertia of buildings under different heating regulation modes
  publication-title: Appl. Energy
– volume: 113
  start-page: 52
  year: 2016
  end-page: 63
  ident: b0125
  article-title: Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market
  publication-title: Energy
– volume: 264
  start-page: 114763
  year: 2020
  ident: b0140
  article-title: Large-scale living laboratory of seasonal borehole thermal energy storage system for urban district heating
  publication-title: Appl. Energy
– volume: 47
  start-page: 101468
  year: 2019
  ident: b0010
  article-title: Optimization of household energy consumption towards day-ahead retail electricity price in home energy management systems
  publication-title: Sustain. Cities Soc.
– volume: 275
  start-page: 115411
  year: 2020
  ident: b0045
  article-title: Increasing the energy flexibility of existing district heating networks through flow rate variations
  publication-title: Appl. Energy
– year: 2013
  ident: b0145
  publication-title: Reference Module in Earth Systems and Environmental Sciences
– volume: 128
  start-page: 713
  year: 2016
  end-page: 722
  ident: b0175
  article-title: Cooperative optimization of building energy systems in an economic model predictive control framework
  publication-title: Energy Build.
– reference: “Nordic Electricity Market,” 2020. https://www.nordpoolgroup.com/.
– volume: 209
  start-page: 409
  year: 2018
  end-page: 425
  ident: b0050
  article-title: Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems
  publication-title: Appl. Energy
– volume: 242
  start-page: 534
  year: 2019
  end-page: 546
  ident: b0135
  article-title: Assessment of short-term aquifer thermal energy storage for demand-side management perspectives: Experimental and numerical developments
  publication-title: Appl. Energy
– volume: 242
  start-page: 873
  year: 2019
  end-page: 882
  ident: b0165
  article-title: Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids
  publication-title: Appl. Energy
– volume: 107
  start-page: 472
  year: 2019
  end-page: 485
  ident: b0005
  article-title: A multi-agent based optimization of residential and industrial demand response aggregators
  publication-title: Int. J. Electr. Power Energy Syst.
– volume: 137
  start-page: 823
  year: 2015
  end-page: 831
  ident: b0155
  article-title: Stochastic control and real options valuation of thermal storage-enabled demand response from flexible district energy systems
  publication-title: Appl. Energy
– volume: 67
  start-page: 1387
  year: 2020
  end-page: 1395
  ident: b0020
  article-title: Robust Self-Scheduling of Operational Processes for Industrial Demand Response Aggregators
  publication-title: IEEE Trans. Ind. Electron.
– volume: 260
  start-page: 114292
  year: 2020
  ident: b0080
  article-title: Implementing flexibility into energy planning models: Soft-linking of a high-level energy planning model and a short-term operational model
  publication-title: Appl. Energy
– volume: 192
  start-page: 395
  year: 2017
  end-page: 407
  ident: b0060
  article-title: Feasible region method based integrated heat and electricity dispatch considering building thermal inertia
  publication-title: Appl. Energy
– reference: I. Blanco, D. Guericke, A. N. Andersen, and H. Madsen, “Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production,” Energies, vol. 11, no. 12, 2018, doi: 10.3390/en11123310.
– volume: 264
  start-page: 114763
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0140
  article-title: Large-scale living laboratory of seasonal borehole thermal energy storage system for urban district heating
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2020.114763
– volume: 143
  start-page: 757
  year: 2018
  ident: 10.1016/j.enbuild.2020.110665_b0110
  article-title: Thermo-economic sensitivity analysis by dynamic simulations of a small Italian solar district heating system with a seasonal borehole thermal energy storage
  publication-title: Energy
  doi: 10.1016/j.energy.2017.11.029
– volume: 199
  start-page: 117418
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0085
  article-title: The reservoir network: A new network topology for district heating and cooling
  publication-title: Energy
  doi: 10.1016/j.energy.2020.117418
– ident: 10.1016/j.enbuild.2020.110665_b0160
  doi: 10.3390/ma12020202
– volume: 240
  start-page: 372
  year: 2019
  ident: 10.1016/j.enbuild.2020.110665_b0170
  article-title: Economic model predictive control of combined thermal and electric residential building energy systems
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2019.01.097
– volume: 279
  start-page: 115751
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0030
  article-title: Stochastic energy management of responsive plug-in electric vehicles characterizing parking lot aggregators
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2020.115751
– year: 2013
  ident: 10.1016/j.enbuild.2020.110665_b0145
– volume: 260
  start-page: 114292
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0080
  article-title: Implementing flexibility into energy planning models: Soft-linking of a high-level energy planning model and a short-term operational model
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2019.114292
– volume: 242
  start-page: 873
  year: 2019
  ident: 10.1016/j.enbuild.2020.110665_b0165
  article-title: Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2019.03.038
– volume: 151
  start-page: 103
  year: 2018
  ident: 10.1016/j.enbuild.2020.110665_b0075
  article-title: Controlling district heating and cooling networks to unlock flexibility: A review
  publication-title: Energy
  doi: 10.1016/j.energy.2018.03.034
– ident: 10.1016/j.enbuild.2020.110665_b0200
– volume: 128
  start-page: 713
  year: 2016
  ident: 10.1016/j.enbuild.2020.110665_b0175
  article-title: Cooperative optimization of building energy systems in an economic model predictive control framework
  publication-title: Energy Build.
  doi: 10.1016/j.enbuild.2016.07.009
– volume: 47
  start-page: 101468
  year: 2019
  ident: 10.1016/j.enbuild.2020.110665_b0010
  article-title: Optimization of household energy consumption towards day-ahead retail electricity price in home energy management systems
  publication-title: Sustain. Cities Soc.
  doi: 10.1016/j.scs.2019.101468
– volume: 11
  start-page: 1137
  issue: 4
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0115
  article-title: A novel bidding method for combined heat and power units in district heating systems
  publication-title: Energy Syst
  doi: 10.1007/s12667-019-00352-0
– volume: 40
  start-page: 1446
  issue: 8
  year: 2008
  ident: 10.1016/j.enbuild.2020.110665_b0150
  article-title: Control of heating systems in residential buildings: Current practice
  publication-title: Energy Build.
  doi: 10.1016/j.enbuild.2008.02.016
– ident: 10.1016/j.enbuild.2020.110665_b0180
– volume: 137
  start-page: 823
  year: 2015
  ident: 10.1016/j.enbuild.2020.110665_b0155
  article-title: Stochastic control and real options valuation of thermal storage-enabled demand response from flexible district energy systems
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2014.07.019
– volume: 50
  start-page: 7381
  issue: 1
  year: 2017
  ident: 10.1016/j.enbuild.2020.110665_b0195
  article-title: “Predictive Control of Hydronic Floor Heating Systems using Neural Networks and
  publication-title: Genetic Algorithms
– volume: 232
  start-page: 607
  year: 2018
  ident: 10.1016/j.enbuild.2020.110665_b0070
  article-title: Bi-level optimization model for integrated energy system considering the thermal comfort of heat customers
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2018.09.212
– volume: 40
  start-page: 225
  issue: 2
  year: 2004
  ident: 10.1016/j.enbuild.2020.110665_b0185
  article-title: Parameter estimation in stochastic grey-box models
  publication-title: Automatica
  doi: 10.1016/j.automatica.2003.10.001
– ident: 10.1016/j.enbuild.2020.110665_b0120
  doi: 10.3390/en11123310
– volume: 262
  start-page: 114476
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0100
  article-title: Experimental study on a double-stage absorption solar thermal storage system with enhanced energy storage density
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2019.114476
– volume: 192
  start-page: 395
  year: 2017
  ident: 10.1016/j.enbuild.2020.110665_b0060
  article-title: Feasible region method based integrated heat and electricity dispatch considering building thermal inertia
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2016.09.016
– volume: 242
  start-page: 534
  year: 2019
  ident: 10.1016/j.enbuild.2020.110665_b0135
  article-title: Assessment of short-term aquifer thermal energy storage for demand-side management perspectives: Experimental and numerical developments
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2019.03.103
– volume: 113
  start-page: 52
  year: 2016
  ident: 10.1016/j.enbuild.2020.110665_b0125
  article-title: Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market
  publication-title: Energy
  doi: 10.1016/j.energy.2016.07.009
– ident: 10.1016/j.enbuild.2020.110665_b0190
– volume: 133
  start-page: 97
  year: 2018
  ident: 10.1016/j.enbuild.2020.110665_b0055
  article-title: On the use of thermal inertia in building stock to leverage decentralised demand side frequency regulation services
  publication-title: Appl. Therm. Eng.
  doi: 10.1016/j.applthermaleng.2018.01.035
– ident: 10.1016/j.enbuild.2020.110665_b0035
– volume: 129
  start-page: 253
  year: 2014
  ident: 10.1016/j.enbuild.2020.110665_b0130
  article-title: Numerical analysis of a thermally enhanced domestic hot water tank
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2014.04.081
– volume: 67
  start-page: 1387
  issue: 2
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0020
  article-title: Robust Self-Scheduling of Operational Processes for Industrial Demand Response Aggregators
  publication-title: IEEE Trans. Ind. Electron.
  doi: 10.1109/TIE.2019.2899562
– volume: 147
  start-page: 477
  year: 2018
  ident: 10.1016/j.enbuild.2020.110665_b0105
  article-title: Conceptual market potential framework of high temperature aquifer thermal energy storage - A case study in the Netherlands
  publication-title: Energy
  doi: 10.1016/j.energy.2018.01.072
– volume: 209
  start-page: 409
  year: 2018
  ident: 10.1016/j.enbuild.2020.110665_b0050
  article-title: Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2017.11.036
– volume: 211
  start-page: 865
  year: 2018
  ident: 10.1016/j.enbuild.2020.110665_b0065
  article-title: Integrated heat and power dispatch truly utilizing thermal inertia of district heating network for wind power integration
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2017.11.080
– volume: 107
  start-page: 472
  year: 2019
  ident: 10.1016/j.enbuild.2020.110665_b0005
  article-title: A multi-agent based optimization of residential and industrial demand response aggregators
  publication-title: Int. J. Electr. Power Energy Syst.
  doi: 10.1016/j.ijepes.2018.12.020
– volume: 275
  start-page: 115411
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0045
  article-title: Increasing the energy flexibility of existing district heating networks through flow rate variations
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2020.115411
– volume: 240
  start-page: 341
  year: 2019
  ident: 10.1016/j.enbuild.2020.110665_b0040
  article-title: Optimal scheduling strategy of district integrated heat and power system with wind power and multiple energy stations considering thermal inertia of buildings under different heating regulation modes
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2019.01.199
– volume: 201
  start-page: 117650
  year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0090
  article-title: A simulation-based evaluation of substation models for network flexibility characterisation in district heating networks
  publication-title: Energy
  doi: 10.1016/j.energy.2020.117650
– volume: 180
  start-page: 313
  year: 2016
  ident: 10.1016/j.enbuild.2020.110665_b0095
  article-title: Mixed integer linear programming for the design of solar thermal energy systems with short-term storage
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2016.07.055
– year: 2020
  ident: 10.1016/j.enbuild.2020.110665_b0015
  article-title: Operational scheduling of responsive prosumer farms for day-ahead peak shaving by agricultural demand response aggregators
  publication-title: Int. J. Energy Res.
– volume: 51
  start-page: 153
  year: 2013
  ident: 10.1016/j.enbuild.2020.110665_b0025
  article-title: Integrating commercial demand response resources with unit commitment
  publication-title: Int. J. Electr. Power Energy Syst.
  doi: 10.1016/j.ijepes.2013.02.015
SSID ssj0006571
Score 2.5172915
Snippet Increasing the penetration of renewable power in Denmark, demand-side flexibility is offered as a workable solution to hedge against the intermittency and...
SourceID proquest
crossref
elsevier
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 110665
SubjectTerms Alternative energy sources
Day-ahead market
District heating
Economic analysis
Economic models
economic MPC
Economics
Electric power systems
Electricity
Electricity consumption
Electricity pricing
Energy consumption
Flexibility
Heat consumption
Heat exchangers
Heat pump
Heat pumps
Identification methods
Occupancy
Optimization
Parameter estimation
Parameter identification
Power consumption
Predictive control
Renewable energy
Residential areas
Residential buildings
Residential energy
Thermal storage
Volatility
Title Optimization of power-to-heat flexibility for residential buildings in response to day-ahead electricity price
URI https://dx.doi.org/10.1016/j.enbuild.2020.110665
https://www.proquest.com/docview/2489009611
Volume 232
WOSCitedRecordID wos000607050800006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: Elsevier SD Freedom Collection Journals 2021
  customDbUrl:
  eissn: 1872-6178
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0006571
  issn: 0378-7788
  databaseCode: AIEXJ
  dateStart: 19950301
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF6FlgMcEE9RKGgP3CIHx4693mNBReWhglCRcrPW-xCO_IgStyr9Sf2VzD68ccqj9MDFirzZzSbzeXZmMjMfQq-SqVDZLCs0TWoIDgqDZ44SHkQqTBIWwxnHlCGbIMfH2XxOv4xGl30tzFlFmiY7P6fL_ypquAfC1qWzNxC3XxRuwGsQOlxB7HD9J8F_BiVQu-pKk8-sedCCrg202h0r3QDTJMTaTE3wtktTqwuiKhxF9toWuZjkWcOsIdiPgMF0MbasOSXX05crlzfnI_u2jlCH4v1SPr-nrer2O6uZsDTZmnml9oOnldAhF5j4CRxtqwk_lpvxhf4__01W6WQcN7yVWPy1ZBfjI7YGOBulV68c6F08I5r2KdBe7cXg1xJiyf56HR25IKjVsmCypJZh4pcDwMYiFhPdOAK-6AQ-wZQ6uPdvN9y-chD69MQ-822Ru2VyvUxul7mFdiOSUNCguwfvD-cf_LmfJsa99_vf1Iu9_u1-_mQJXbEJjKFzch_dcx4KPrDIeoBGsnmI7g76Vj5CzRBjuFV4C2N4gDEMGMMDjGEPDFw2uMcY7lrsMYYHGMMGY4_Rt3eHJ2-PAkfcEfA4Jl0gKZkSJWWqCA1DBdaRDKmaZSydchJyLoXQtilTXMYRF6wImWKMUyKo4ikX8RO007SNfIowZaSQKuRMKjBEiWAhlxEHN78oRCaicA_N-h8x566rvSZXqfK_CnEPTfy0pW3rct2ErJdQ7mxTa3PmgLzrpu73Es2dnljn0Syjhm5p-uymW3mO7myem320061O5Qt0m5915Xr10qHyJ6g9w68
linkProvider Elsevier
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimization+of+power-to-heat+flexibility+for+residential+buildings+in+response+to+day-ahead+electricity+price&rft.jtitle=Energy+and+buildings&rft.au=Golmohamadi%2C+Hessam&rft.au=Guldstrand+Larsen%2C+Kim&rft.au=Gj%C3%B8l+Jensen%2C+Peter&rft.au=Riaz+Hasrat%2C+Imran&rft.date=2021-02-01&rft.issn=0378-7788&rft.volume=232&rft.spage=110665&rft_id=info:doi/10.1016%2Fj.enbuild.2020.110665&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_enbuild_2020_110665
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0378-7788&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0378-7788&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0378-7788&client=summon