Development of a data-driven model to characterize the heat storage of the building thermal mass in energy planning tools

Laurent Georges; Elin Storlien; Magnus Askeland; Karen Byskov Lindberg

doi:10.1051/e3sconf/202124610001

All issues

Volume 246 (2021)

E3S Web Conf., 246 (2021) 10001

References

Open Access

Issue		E3S Web Conf. Volume 246, 2021 Cold Climate HVAC & Energy 2021


Article Number		10001
Number of page(s)		10
Section		Performance Assessment and Characterization
DOI		https://doi.org/10.1051/e3sconf/202124610001
Published online		29 March 2021

S. Ø. Jensen et al., “IEA EBC Annex 67 Energy Flexible Buildings,” Energy and Buildings, vol. 155, pp. 25-34, 2017/11/15/ 2017. [Google Scholar]
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EN ISO 7730 : Ergonomics of the thermal environment: analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local comfort criteria, 2005. [Google Scholar]
D. Patteeuw, K. Bruninx, A. Arteconi, E. Delarue, W. D’haeseleer, and L. Helsen, “Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems,” Applied Energy, vol. 151, pp. 306-319, 2015/08/01/ 2015. [Google Scholar]
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R. E. Hedegaard, L. Friedrichsen, J. Tougaard, T. Mølbak, and S. Petersen, “Building energy flexibility as an asset in system-wide district heating optimization models,” presented at the uSIM2020 - Building to Buildings: Urban and Community Energy Modelling, Edinburgh, November, 2002, 2020. [Google Scholar]
D. Romanchenko, J. Kensby, M. Odenberger, and F. Johnsson, “Thermal energy storage in district heating: Centralised storage vs. storage in thermal inertia of buildings,” Energy Conversion and Management, vol. 162, pp. 26-38, 2018/04/15/ 2018. [Google Scholar]
G. Reynders, R. Amaral Lopes, A. Marszal-Pomianowska, D. Aelenei, J. Martins, and D. Saelens, “Energy flexible buildings: An evaluation of definitions and quantification methodologies applied to thermal storage,” Energy and Buildings, vol. 166, pp. 372-390, 2018/05/01/ 2018. [Google Scholar]
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J. Palmer Real et al., “Characterisation of thermal energy dynamics of residential buildings with scarce data,” Energy and Buildings, vol. 230, p. 110530, 2021/01/01/ 2021. [Google Scholar]
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B. Bjorvatn, J. Mrdalj, I. W. Saxvig, T. Aasnæs, S. Pallesen, and S. Waage, “Age and sex differences in bedroom habits and bedroom preferences,” Sleep Medicine, vol. 32, pp. 157-161, 2017/04/01/ 2017. [Google Scholar]

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[1] S. Ø. Jensen et al., “IEA EBC Annex 67 Energy Flexible Buildings,” Energy and Buildings, vol. 155, pp. 25-34, 2017/11/15/ 2017. [Google Scholar]

[2] J. Kensby, A. Trüschel, and J.-O. Dalenbäck, “Potential of residential buildings as thermal energy storage in district heating systems – Results from a pilot test,” Applied Energy, vol. 137, pp. 773-781, 2015/01/01/ 2015. [Google Scholar]

[3] J. Le Dréau and P. Heiselberg, “Energy flexibility of residential buildings using short term heat storage in the thermal mass,” Energy, vol. 111, pp. 991-1002, 2016/09/15/ 2016. [Google Scholar]

[4] G. Reynders, J. Diriken, and D. Saelens, “Generic characterization method for energy flexibility: Applied to structural thermal storage in residential buildings,” Applied Energy, vol. 198, pp. 192-202, 2017/07/15/ 2017. [Google Scholar]

[5] M. Geidl and G. Andersson, “Operational and structural optimization of multi-carrier energy systems,” European Transactions on Electrical Power, vol. 16, no. 5, pp. 463-477, 2006. [Google Scholar]

[6] R. G. Junker et al., “Characterizing the energy flexibility of buildings and districts,” Applied Energy, vol. 225, pp. 175-182, 2018/09/01/ 2018. [Google Scholar]

[7] R. G. Junker, C. S. Kallesøe, J. P. Real, B. Howard, R. A. Lopes, and H. Madsen, “Stochastic nonlinear modelling and application of price-based energy flexibility,” Applied Energy, vol. 275, p. 115096, 2020/10/01/ 2020. [Google Scholar]

[8] EN ISO 7730 : Ergonomics of the thermal environment: analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local comfort criteria, 2005. [Google Scholar]

[9] D. Patteeuw, K. Bruninx, A. Arteconi, E. Delarue, W. D’haeseleer, and L. Helsen, “Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems,” Applied Energy, vol. 151, pp. 306-319, 2015/08/01/ 2015. [Google Scholar]

[10] D. Patteeuw and L. Helsen, “Combined design and control optimization of residential heating systems in a smart-grid context,” Energy and Buildings, vol. 133, pp. 640-657, 2016/12/01/ 2016. [Google Scholar]

[11] R. E. Hedegaard, L. Friedrichsen, J. Tougaard, T. Mølbak, and S. Petersen, “Building energy flexibility as an asset in system-wide district heating optimization models,” presented at the uSIM2020 - Building to Buildings: Urban and Community Energy Modelling, Edinburgh, November, 2002, 2020. [Google Scholar]

[12] D. Romanchenko, J. Kensby, M. Odenberger, and F. Johnsson, “Thermal energy storage in district heating: Centralised storage vs. storage in thermal inertia of buildings,” Energy Conversion and Management, vol. 162, pp. 26-38, 2018/04/15/ 2018. [Google Scholar]

[13] G. Reynders, R. Amaral Lopes, A. Marszal-Pomianowska, D. Aelenei, J. Martins, and D. Saelens, “Energy flexible buildings: An evaluation of definitions and quantification methodologies applied to thermal storage,” Energy and Buildings, vol. 166, pp. 372-390, 2018/05/01/ 2018. [Google Scholar]

[14] EQUA, “IDA Indoor Climate and Energy,” 4.8 SP2 ed. Stockholm: EQUA Simulation AB, 2020. [Google Scholar]

[15] C. Reinhart, “Urban Building Energy Modelling,” in Building Performance Simulation for Design and Operation, vol. 2nd Edition: Routledge, 2019. [Google Scholar]

[16] J. Palmer Real et al., “Characterisation of thermal energy dynamics of residential buildings with scarce data,” Energy and Buildings, vol. 230, p. 110530, 2021/01/01/ 2021. [Google Scholar]

[17] L. Ljung, System Identification: Theory for the User, Second Edition ed. 1997. [Google Scholar]

[18] P. Bacher and H. Madsen, “Identifying suitable models for the heat dynamics of buildings,” Energy and Buildings, vol. 43, no. 7, pp. 1511-1522, 2011/07/01/ 2011. [Google Scholar]

[19] H. Madsen et al., “Report of Subtask 3, part 2: Thermal performance characterization using time series data, statistical guidelines,” in “IEA EBC Annex 58, Reliable building energy performance characterization based on full scale dynamic measurements,” 2016. [Google Scholar]

[20] Ø. Rønneseth and I. Sartori, “Method for modelling Norwegian Single-Family Houses in IDA ICE, ZEN Memo n°10,” 2018. [Google Scholar]

[21] E. Storlien, “Characterizing the demand response potential of thermal heat load in buildings,” Master thesis, Energy and Process Engineering Department, NTNU, 2020. [Google Scholar]

[22] NS 3700:2010 Criteria for passive houses and low energy houses (residential buildings), 2010. [Google Scholar]

[23] Byggeforskrift 1987, 1987. [Google Scholar]

[24] Q. Chen, “Ventilation performance prediction for buildings: A method overview and recent applications,” Building and Environment, vol. 44, no. 4, pp. 848-858, 2009/04/01/ 2009. [Google Scholar]

[25] SN/TS 3031:2016 Energy performance of buildings, 2016. [Google Scholar]

[26] J. Clauss, S. Stinner, I. Sartori, and L. Georges, “Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating,” (in English), Applied Energy, vol. 237, pp. 500-518, Mar 1 2019. [Google Scholar]

[27] J. Hedbrant, “On the thermal inertia and time constant of single-family houses,” Division of Energy Systems, Department of Mechanical Engineering, Linköpings university, 2001. [Google Scholar]

[28] Mathworks, “Matlab,” R2017a ed, 2017. [Google Scholar]

[29] A. Afram and F. Janabi-Sharifi, “Black-box modeling of residential HVAC system and comparison of gray-box and black-box modeling methods,” Energy and Buildings, vol. 94, pp. 121-149, 2015/05/01/ 2015. [Google Scholar]

[30] B. Bjorvatn, J. Mrdalj, I. W. Saxvig, T. Aasnæs, S. Pallesen, and S. Waage, “Age and sex differences in bedroom habits and bedroom preferences,” Sleep Medicine, vol. 32, pp. 157-161, 2017/04/01/ 2017. [Google Scholar]