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Human Comfort-Based-Home Energy Management for Demand Response Participation

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  • Herie Park

    (Division of Electrical and Biomedical Engineering, Hanyang University, Seoul 04763, Korea)

Abstract

The residential building sector is encouraged to participate in demand response (DR) programs owing to its flexible and effective energy resources during peak hours with the help of a home energy management system (HEMS). Although the HEMS contributes to reducing energy consumption of the building and the participation of occupants in energy saving programs, unwanted interruptions and strict guidance from the system cause inconvenience to the occupants further leading to their limited participation in the DR programs. This paper presents a human comfort-based control approach for home energy management to promote the DR participation of households. Heating and lighting systems were chosen to be controlled by human comfort factors such as thermal comfort and visual comfort. Case studies were conducted to validate the proposed approach. The results showed that the proposed approach could effectively reduce the energy consumption during the DR period and improve the occupants’ comfort.

Suggested Citation

  • Herie Park, 2020. "Human Comfort-Based-Home Energy Management for Demand Response Participation," Energies, MDPI, vol. 13(10), pages 1-15, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2463-:d:357823
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    References listed on IDEAS

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    Cited by:

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    2. Elsisi, Mahmoud & Amer, Mohammed & Dababat, Alya’ & Su, Chun-Lien, 2023. "A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation," Energy, Elsevier, vol. 281(C).
    3. da Fonseca, André L.A. & Chvatal, Karin M.S. & Fernandes, Ricardo A.S., 2021. "Thermal comfort maintenance in demand response programs: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    4. Christian Pfeiffer & Markus Puchegger & Claudia Maier & Ina V. Tomaschitz & Thomas P. Kremsner & Lukas Gnam, 2020. "A Case Study of Socially-Accepted Potentials for the Use of End User Flexibility by Home Energy Management Systems," Sustainability, MDPI, vol. 13(1), pages 1-19, December.
    5. Binghui Han & Younes Zahraoui & Marizan Mubin & Saad Mekhilef & Mehdi Seyedmahmoudian & Alex Stojcevski, 2023. "Optimal Strategy for Comfort-Based Home Energy Management System Considering Impact of Battery Degradation Cost Model," Mathematics, MDPI, vol. 11(6), pages 1-26, March.
    6. Ningxuan Guo & Yinan Wang & Gangfeng Yan & Jian Hou, 2020. "Non-Cooperative Game in Block Bidding Markets Considering Demand Response," Energies, MDPI, vol. 13(13), pages 1-18, June.
    7. Kalevi Härkönen & Lea Hannola & Jukka Lassila & Mika Luoranen, 2022. "Assessment of the Electric Demand Management Potential of Educational Buildings’ Mechanical Ventilation Systems," Energies, MDPI, vol. 16(1), pages 1-14, December.
    8. Constantinos A. Balaras, 2022. "Building Energy Audits—Diagnosis and Retrofitting towards Decarbonization and Sustainable Cities," Energies, MDPI, vol. 15(6), pages 1-4, March.

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