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Real-time energy convex optimization, via electrical storage, in buildings – A review

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  • Georgiou, Giorgos S.
  • Christodoulides, Paul
  • Kalogirou, Soteris A.

Abstract

Energy in buildings covers a major and wide range of subject, which has attracted a great interest of the academic sector in recent years. Due to the high share of the global primary energy consumption associated with buildings, many studies have been published toward energy efficient buildings and the reduction of their primary energy consumption and energy management and optimization, for both Renewable Energy Sources (RES) and non-RES. As a result, a plethora of methods for managing the energy consumption and optimizing the integration of the RES in buildings have been proposed. The optimized dispatch of battery energy seems a promising method for managing the energy consumption profiles within buildings and achieving energy targets such as nearly Zero Energy Buildings (nZEBs). The current paper attempts a review of various studies related to convex mathematical optimization techniques for reducing the energy consumption in buildings, in real-time and via storage, either with or without integrated RES.

Suggested Citation

  • Georgiou, Giorgos S. & Christodoulides, Paul & Kalogirou, Soteris A., 2019. "Real-time energy convex optimization, via electrical storage, in buildings – A review," Renewable Energy, Elsevier, vol. 139(C), pages 1355-1365.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:1355-1365
    DOI: 10.1016/j.renene.2019.03.003
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    2. Tang, Hong & Wang, Shengwei & Li, Hangxin, 2021. "Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: State-of-the-art and future perspective," Energy, Elsevier, vol. 219(C).
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    4. Qiang, Guofeng & Tang, Shu & Hao, Jianli & Di Sarno, Luigi & Wu, Guangdong & Ren, Shaoxing, 2023. "Building automation systems for energy and comfort management in green buildings: A critical review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    5. Deng, Zhipeng & Wang, Xuezheng & Dong, Bing, 2023. "Quantum computing for future real-time building HVAC controls," Applied Energy, Elsevier, vol. 334(C).
    6. Haolan Liao & Rong Ren & Lu Li, 2023. "Existing Building Renovation: A Review of Barriers to Economic and Environmental Benefits," IJERPH, MDPI, vol. 20(5), pages 1-23, February.
    7. Kotarela, F. & Kyritsis, A. & Papanikolaou, N. & Kalogirou, S.A., 2021. "Enhanced nZEB concept incorporating a sustainable Grid Support Scheme," Renewable Energy, Elsevier, vol. 169(C), pages 714-725.
    8. Opoku, Richard & Obeng, George Y. & Adjei, Eunice A. & Davis, Francis & Akuffo, Fred O., 2020. "Integrated system efficiency in reducing redundancy and promoting residential renewable energy in countries without net-metering: A case study of a SHS in Ghana," Renewable Energy, Elsevier, vol. 155(C), pages 65-78.
    9. Bian, Yifan & Xie, Lirong & Ye, Jiahao & Ma, Lan & Cui, Chuanshi, 2024. "Peer-to-peer energy sharing model considering multi-objective optimal allocation of shared energy storage in a multi-microgrid system," Energy, Elsevier, vol. 288(C).

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