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Optimal behavior of responsive residential demand considering hybrid phase change materials

Author

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  • Shafie-khah, M.
  • Kheradmand, M.
  • Javadi, S.
  • Azenha, M.
  • de Aguiar, J.L.B.
  • Castro-Gomes, J.
  • Siano, P.
  • Catalão, J.P.S.

Abstract

Due to communication and technology developments, residential consumers are enabled to participate in Demand Response Programs (DRPs), control their consumption and decrease their cost by using Household Energy Management (HEM) systems. On the other hand, capability of energy storage systems to improve the energy efficiency causes that employing Phase Change Materials (PCM) as thermal storage systems to be widely addressed in the building applications. In this paper, an operational model of HEM system considering the incorporation of more than one type of PCM in plastering mortars (hybrid PCM) is proposed not only to minimize the customer’s cost in different DRPs but also to guaranty the habitants’ satisfaction. Moreover, the proposed model ensures the technical and economic limits of batteries and electrical appliances. Different case studies indicate that implementation of hybrid PCM in the buildings can meaningfully affect the operational pattern of HEM systems in different DRPs. The results reveal that the customer’s electricity cost can be reduced up to 48% by utilizing the proposed model.

Suggested Citation

  • Shafie-khah, M. & Kheradmand, M. & Javadi, S. & Azenha, M. & de Aguiar, J.L.B. & Castro-Gomes, J. & Siano, P. & Catalão, J.P.S., 2016. "Optimal behavior of responsive residential demand considering hybrid phase change materials," Applied Energy, Elsevier, vol. 163(C), pages 81-92.
    • Handle: RePEc:eee:appene:v:163:y:2016:i:c:p:81-92
    DOI: 10.1016/j.apenergy.2015.11.013
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    2. Wang, Pengcheng & Liu, Zhongbing & Liu, Ruimiao & Zhang, Feng & Zhang, Ling, 2023. "Energy flexibility of PCM-integrated building: Combination parameters design and operation control in multi-objective optimization considering different stakeholders," Energy, Elsevier, vol. 268(C).
    3. Wijesuriya, Sajith & Brandt, Matthew & Tabares-Velasco, Paulo Cesar, 2018. "Parametric analysis of a residential building with phase change material (PCM)-enhanced drywall, precooling, and variable electric rates in a hot and dry climate," Applied Energy, Elsevier, vol. 222(C), pages 497-514.
    4. Li, Weilin & Jing, Mingyi & Li, Rufei & Gao, Junxi & Zhu, Jiayin & Li, Ruixin, 2023. "Study of the optimal placement of phase change materials in existing buildings for cooling load reduction - Take the Central Plain of China as an example," Renewable Energy, Elsevier, vol. 209(C), pages 71-84.
    5. Lu, Qing & Yu, Hao & Zhao, Kangli & Leng, Yajun & Hou, Jianchao & Xie, Pinjie, 2019. "Residential demand response considering distributed PV consumption: A model based on China's PV policy," Energy, Elsevier, vol. 172(C), pages 443-456.
    6. Mi, Xuming & Liu, Ran & Cui, Hongzhi & Memon, Shazim Ali & Xing, Feng & Lo, Yiu, 2016. "Energy and economic analysis of building integrated with PCM in different cities of China," Applied Energy, Elsevier, vol. 175(C), pages 324-336.
    7. Yu, Mengmeng & Hong, Seung Ho, 2017. "Incentive-based demand response considering hierarchical electricity market: A Stackelberg game approach," Applied Energy, Elsevier, vol. 203(C), pages 267-279.
    8. Zhou, Yuekuan, 2022. "Demand response flexibility with synergies on passive PCM walls, BIPVs, and active air-conditioning system in a subtropical climate," Renewable Energy, Elsevier, vol. 199(C), pages 204-225.
    9. Nan, Sibo & Zhou, Ming & Li, Gengyin, 2018. "Optimal residential community demand response scheduling in smart grid," Applied Energy, Elsevier, vol. 210(C), pages 1280-1289.
    10. Vasu, Anusuiah & Hagos, Ftwi Y. & Noor, M.M. & Mamat, R. & Azmi, W.H. & Abdullah, Abdul A. & Ibrahim, Thamir K., 2017. "Corrosion effect of phase change materials in solar thermal energy storage application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 19-33.
    11. Hu, Maomao & Xiao, Fu, 2020. "Quantifying uncertainty in the aggregate energy flexibility of high-rise residential building clusters considering stochastic occupancy and occupant behavior," Energy, Elsevier, vol. 194(C).
    12. Yu, Mengmeng & Lu, Renzhi & Hong, Seung Ho, 2016. "A real-time decision model for industrial load management in a smart grid," Applied Energy, Elsevier, vol. 183(C), pages 1488-1497.
    13. Ana Vaz Sá & Miguel Azenha & A.S. Guimarães & J.M.P.Q. Delgado, 2020. "FEM Applied to Building Physics: Modeling Solar Radiation and Heat Transfer of PCM Enhanced Test Cells," Energies, MDPI, vol. 13(9), pages 1-19, May.

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