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Integrated life-cycle optimisation and supply-side management for building retrofitting

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  • Luo, Xiaojun
  • Oyedele, Lukumon O.

Abstract

Building retrofitting is a powerful approach to enhance building energy performance. The net-zero ambition urges the need to renovate building energy system in view of the life-cycle optimal, to address climate and environmental challenges. Existing retrofitting and optimisation solutions are generally based upon minimising operational energy or cost. However, although building retrofitting can reduce the energy use at the operating phase, additional materials would result in increased embodied energy. The objective of this paper is to devise a novel building retrofitting approach through the integration of life-cycle optimisation and supply-side management. It is an interactive two-set optimisation approach aimed at minimising overall life-cycle energy consumption through determining the optimal design configuration and operating plan of retrofitting energy devices. The essential retrofitting energy devices include passive retrofitting options (i.e., photovoltaic panel and solar thermal collector) and active retrofitting options (i.e., biomass boiler, ground source heat pump, heat storage, electricity storage, and cogeneration system). A modern 3-floor office building in Manchester, the United Kingdom, is adopted to assess the performance of the proposed refurbishment approach. The real-world situation is represented by historical electricity and gas consumption profiles, current building design information, historical weather profile, as well as life-cycle inventory information. The proposed retrofitting optimisation approach can help decision-makers select the optimal retrofitting solution so as to reduce the overall life-cycle energy consumption of office buildings.

Suggested Citation

  • Luo, Xiaojun & Oyedele, Lukumon O., 2022. "Integrated life-cycle optimisation and supply-side management for building retrofitting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
  • Handle: RePEc:eee:rensus:v:154:y:2022:i:c:s1364032121010959
    DOI: 10.1016/j.rser.2021.111827
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    References listed on IDEAS

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    1. Rabani, Mehrdad & Bayera Madessa, Habtamu & Mohseni, Omid & Nord, Natasa, 2020. "Minimizing delivered energy and life cycle cost using Graphical script: An office building retrofitting case," Applied Energy, Elsevier, vol. 268(C).
    2. Jeong, Kwangbok & Hong, Taehoon & Kim, Jimin & Cho, Kyuman, 2019. "Development of a multi-objective optimization model for determining the optimal CO2 emissions reduction strategies for a multi-family housing complex," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 118-131.
    3. Bany Mousa, Osama & Kara, Sami & Taylor, Robert A., 2019. "Comparative energy and greenhouse gas assessment of industrial rooftop-integrated PV and solar thermal collectors," Applied Energy, Elsevier, vol. 241(C), pages 113-123.
    4. Piccardo, C. & Dodoo, A. & Gustavsson, L. & Tettey, U.Y.A., 2020. "Retrofitting with different building materials: Life-cycle primary energy implications," Energy, Elsevier, vol. 192(C).
    5. Greening, Benjamin & Azapagic, Adisa, 2012. "Domestic heat pumps: Life cycle environmental impacts and potential implications for the UK," Energy, Elsevier, vol. 39(1), pages 205-217.
    6. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2019. "Optimal design of renewable energy solution sets for net zero energy buildings," Energy, Elsevier, vol. 179(C), pages 1155-1175.
    7. Shen, Pengyuan & Braham, William & Yi, Yunkyu & Eaton, Eric, 2019. "Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit," Energy, Elsevier, vol. 172(C), pages 892-912.
    8. Shadram, Farshid & Bhattacharjee, Shimantika & Lidelöw, Sofia & Mukkavaara, Jani & Olofsson, Thomas, 2020. "Exploring the trade-off in life cycle energy of building retrofit through optimization," Applied Energy, Elsevier, vol. 269(C).
    9. Luo, X.J. & Fong, K.F., 2019. "Development of integrated demand and supply side management strategy of multi-energy system for residential building application," Applied Energy, Elsevier, vol. 242(C), pages 570-587.
    10. Fan, Yuling & Xia, Xiaohua, 2017. "A multi-objective optimization model for energy-efficiency building envelope retrofitting plan with rooftop PV system installation and maintenance," Applied Energy, Elsevier, vol. 189(C), pages 327-335.
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    1. Li, X. & Densley Tingley, D., 2023. "A whole life, national approach to optimize the thickness of wall insulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).

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