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Power system resilience support from heat-pump equipped houses — thermal comfort consequence for various room priority strategies

Nalini Ramakrishna, Sindhu Kanya, Thiringer, Torbjörn, Chen, Peiyuan·2026·Energy Conversion and Management: X
DOI 10.1016/j.ecmx.2025.101436
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Research works printed but not linked: 20

  1. Chen, 2024, Energy flexibility using thermal mass for Swedish single-family houses, vol. 562, 04003
  2. Walfridson T, Lindahl M, Ericsson N, Bergentz T, Willis M, Gustafsson O, Haglund Stignor C. Large scale demand response of heat pumps to support the national power system. In: 14th IEA, heat pump conference. 2023.
  3. Nalini Ramakrishna, 2024, Social and technical potential of single family houses in increasing the resilience of the power grid during severe disturbances, Energy Convers Manage, 321, 10.1016/j.enconman.2024.119077 · DOI
  4. Johnson, 2021, A multi-zone, fast solving, rapidly reconfigurable building and electrified heating system model for generation of control dependent heat pump power demand profiles, Appl Energy, 304, 10.1016/j.apenergy.2021.117663 · doi:10.1016/j.apenergy.2021.117663
  5. Khatibi, 2023, Towards designing an aggregator to activate the energy flexibility of multi-zone buildings using a hierarchical model-based scheme, Appl Energy, 333, 10.1016/j.apenergy.2022.120562 · DOI
  6. Golmohamadi, 2021, Optimization of power-to-heat flexibility for residential buildings in response to day-ahead electricity price, Energy Build, 232, 10.1016/j.enbuild.2020.110665 · DOI
  7. Golmohamadi, 2021, Hierarchical flexibility potentials of residential buildings with responsive heat pumps: A case study of Denmark, J Build Eng, 41
  8. Clauß, 2019, Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating, Appl Energy, 237, 500, 10.1016/j.apenergy.2018.12.074 · DOI
  9. Saleem, 2025, Thermal performance analysis of a heat pump-based energy system to meet heating and cooling demand of residential buildings, Appl Energy, 383, 10.1016/j.apenergy.2025.125306 · doi:10.1016/j.apenergy.2025.125306
  10. Hua, 2024, Integrated demand response method for heating multiple rooms based on fuzzy logic considering dynamic price, Energy, 307, 10.1016/j.energy.2024.132577 · doi:10.1016/j.energy.2024.132577
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  14. Verdugo, 2025, Modeling and energy management of hangar thermo-electrical microgrid for electric plane charging considering multiple zones and resources, Appl Energy, 379, 10.1016/j.apenergy.2024.124951 · doi:10.1016/j.apenergy.2024.124951
  15. Johra, 2017, Influence of internal thermal mass on the indoor thermal dynamics and integration of phase change materials in furniture for building energy storage: A review, Renew Sustain Energy Rev, 69, 19, 10.1016/j.rser.2016.11.145 · DOI · Paper page
  16. Hong, 2019, Integrating physics-based models with sensor data: An inverse modeling approach, Build Environ, 154, 23, 10.1016/j.buildenv.2019.03.006 · doi:10.1016/j.buildenv.2019.03.006
  17. Vadiee, 2020, Heat supply comparison in a single-family house with radiator and floor heating systems, Buildings, 10, 10.3390/buildings10010005 · doi:10.3390/buildings10010005
  18. Mata, 2009, vol. 2009, 4
  19. Bell, 2014, Pure and pseudo-pure fluid thermophysical property evaluation and the open-source thermophysical property library CoolProp, Ind Eng Chem Res, 53, 2498, 10.1021/ie4033999 · DOI · Paper page
  20. Olympios, 2024, Data-driven compressor performance maps and cost correlations for small-scale heat-pumping applications, Energy, 291, 10.1016/j.energy.2023.130171 · doi:10.1016/j.energy.2023.130171

Metadata

Authors
Nalini Ramakrishna, S. K., Thiringer, T., & Chen, P.
Venue
Energy Conversion and Management: X
Publisher
Elsevier BV
Published
2026-01
Volume
29
Pages
101436
ISSN
2590-1745
DOI
10.1016/j.ecmx.2025.101436
Cited by
0
Language
en
Licence
Funders
Swedish Energy Agency (50343-1)

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CoChat. (2026). Citation check: Power system resilience support from heat-pump equipped houses — thermal comfort consequence for various room priority strategies. https://app.cochat.ai/papers/10.1016/j.ecmx.2025.101436
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Nalini Ramakrishna, S. K., Thiringer, T., & Chen, P. (2026). Power system resilience support from heat-pump equipped houses — thermal comfort consequence for various room priority strategies. Energy Conversion and Management: X. https://doi.org/10.1016/j.ecmx.2025.101436

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.