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Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis

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  • Heinen, Steve
  • Turner, William
  • Cradden, Lucy
  • McDermott, Frank
  • O'Malley, Mark

Abstract

The increasing deployment of variable renewables and parallel residential space heat electrification using heat pumps poses two significant challenges for electricity systems: First, coincidence of certain weather events can stress the power system due to the increasing weather-dependence on both supply and demand side; Secondly, increased net load demand requires large capacity expansion unless heat and electricity can be partially decoupled. This paper proposes a planning methodology to explore these challenges by integrating a ‘Resistance-Capacitance’ representation of building thermodynamics into an integrated planning model. This enables analysis of coincidental weather effects which drive system adequacy and of the potential to utilise building thermal inertia to pre-heat the building and effectively store electricity in the form of heat according to system conditions. The model was tested with a case study for the Irish energy system in 2030. It was found that different weather patterns considerably influence investment and planning choices. Also, coincidental effects of different weather variables – in this case, low temperatures and low wind speed - define the most critical situations in terms of adequacy. By utilising building thermal inertia, total system costs of residential heat electrification can be reduced to the level of the benchmark technology, gas boilers.

Suggested Citation

  • Heinen, Steve & Turner, William & Cradden, Lucy & McDermott, Frank & O'Malley, Mark, 2017. "Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis," Energy, Elsevier, vol. 127(C), pages 136-154.
    • Handle: RePEc:eee:energy:v:127:y:2017:i:c:p:136-154
    DOI: 10.1016/j.energy.2017.03.102
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    6. Ian M. Trotter & Torjus F. Bolkesj{o} & Eirik O. J{aa}stad & Jon Gustav Kirkerud, 2021. "Increased Electrification of Heating and Weather Risk in the Nordic Power System," Papers 2112.02893, arXiv.org.
    7. Wang, Haichao & Hua, Pengmin & Wu, Xiaozhou & Zhang, Ruoyu & Granlund, Katja & Li, Ji & Zhu, Yingjie & Lahdelma, Risto & Teppo, Esa & Yu, Li, 2022. "Heat-power decoupling and energy saving of the CHP unit with heat pump based waste heat recovery system," Energy, Elsevier, vol. 250(C).
    8. Zeyen, Elisabeth & Hagenmeyer, Veit & Brown, Tom, 2021. "Mitigating heat demand peaks in buildings in a highly renewable European energy system," Energy, Elsevier, vol. 231(C).
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    10. Besagni, Giorgio & Borgarello, Marco & Premoli Vilà, Lidia & Najafi, Behzad & Rinaldi, Fabio, 2020. "MOIRAE – bottom-up MOdel to compute the energy consumption of the Italian REsidential sector: Model design, validation and evaluation of electrification pathways," Energy, Elsevier, vol. 211(C).
    11. Dominković, Dominik Franjo & Junker, Rune Grønborg & Lindberg, Karen Byskov & Madsen, Henrik, 2020. "Implementing flexibility into energy planning models: Soft-linking of a high-level energy planning model and a short-term operational model," Applied Energy, Elsevier, vol. 260(C).
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    14. Mascherbauer, Philipp & Kranzl, Lukas & Yu, Songmin & Haupt, Thomas, 2022. "Investigating the impact of smart energy management system on the residential electricity consumption in Austria," Working Papers "Sustainability and Innovation" S04/2022, Fraunhofer Institute for Systems and Innovation Research (ISI).
    15. Dominković, D.F. & Gianniou, P. & Münster, M. & Heller, A. & Rode, C., 2018. "Utilizing thermal building mass for storage in district heating systems: Combined building level simulations and system level optimization," Energy, Elsevier, vol. 153(C), pages 949-966.
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