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Addressing greenhouse gas emissions and optimizing power systems: A novel approach for clean electricity integration in commercial buildings

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  • Li, Mei
  • Zeman, Abdol

Abstract

The global imperative for ensuring sustainable development has heightened the significance of reducing greenhouse gas emissions within the building sector. Consequently, a critical exploration into the integration of clean electricity within buildings has become indispensable. Therefore, this study focuses on the urgent global concern of reducing greenhouse gas emissions in the building sector to achieve sustainable development. However, the optimization of power systems encounters new challenges due to the unpredictable charging behavior of electric vehicles, resulting in flexible demand side management. These challenges necessitate a reevaluation of existing mathematical approaches. To ensure the utilization of clean electricity, a novel and cost-effective power supply system is proposed, specifically tailored for commercial buildings with a focus on creating a comfortable environment in a shopping mall. Furthermore, an energy management strategy is suggested to optimize energy usage. The study takes into account two types of electric vehicles and develops separate models for each based on their unique stochastic behaviors. Additionally, the integration of retired electric vehicle batteries in commercial buildings is explored as a potential solution. To address the inherent complexity of the problem, a developed algorithm based on multi-group search optimization is proposed. This algorithm effectively handles the uncertainties associated with electric vehicles and employs a decomposition approach to provide an optimal solution. The results demonstrate significant reductions of 82.17% and 83.32% in the expected operating cost through the integration of photovoltaic energy alone or both photovoltaic and retired electric vehicle batteries in commercial buildings, respectively. This emphasizes the benefits of incorporating photovoltaic and retired electric vehicle batteries in commercial buildings. Furthermore, the robustness of the proposed method is validated through a comparative analysis with alternative approaches.

Suggested Citation

  • Li, Mei & Zeman, Abdol, 2023. "Addressing greenhouse gas emissions and optimizing power systems: A novel approach for clean electricity integration in commercial buildings," Applied Energy, Elsevier, vol. 352(C).
  • Handle: RePEc:eee:appene:v:352:y:2023:i:c:s0306261923013326
    DOI: 10.1016/j.apenergy.2023.121968
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    1. Najafi, Arsalan & Falaghi, Hamid & Contreras, Javier & Ramezani, Maryam, 2016. "Medium-term energy hub management subject to electricity price and wind uncertainty," Applied Energy, Elsevier, vol. 168(C), pages 418-433.
    2. Wu, Wei & Skye, Harrison M. & Domanski, Piotr A., 2018. "Selecting HVAC systems to achieve comfortable and cost-effective residential net-zero energy buildings," Applied Energy, Elsevier, vol. 212(C), pages 577-591.
    3. D'Agostino, D. & Minelli, F. & D'Urso, M. & Minichiello, F., 2022. "Fixed and tracking PV systems for Net Zero Energy Buildings: Comparison between yearly and monthly energy balance," Renewable Energy, Elsevier, vol. 195(C), pages 809-824.
    4. Ghasemi-Marzbali, Ali & Shafiei, Mohammad & Ahmadiahangar, Roya, 2023. "Day-ahead economical planning of multi-vector energy district considering demand response program," Applied Energy, Elsevier, vol. 332(C).
    5. Jafari, Amirreza & Ganjeh Ganjehlou, Hamed & Khalili, Tohid & Bidram, Ali, 2020. "A fair electricity market strategy for energy management and reliability enhancement of islanded multi-microgrids," Applied Energy, Elsevier, vol. 270(C).
    6. Lamnatou, Chr. & Chemisana, D. & Cristofari, C., 2022. "Smart grids and smart technologies in relation to photovoltaics, storage systems, buildings and the environment," Renewable Energy, Elsevier, vol. 185(C), pages 1376-1391.
    7. Youcef Ettoumi, F. & Mefti, A. & Adane, A. & Bouroubi, M.Y., 2002. "Statistical analysis of solar measurements in Algeria using beta distributions," Renewable Energy, Elsevier, vol. 26(1), pages 47-67.
    8. Pegah Alaee & Julius Bems & Amjad Anvari-Moghaddam, 2023. "A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management," Energies, MDPI, vol. 16(9), pages 1-28, April.
    9. Wang, Jidong & Liu, Jianxin & Li, Chenghao & Zhou, Yue & Wu, Jianzhong, 2020. "Optimal scheduling of gas and electricity consumption in a smart home with a hybrid gas boiler and electric heating system," Energy, Elsevier, vol. 204(C).
    10. Ghorbani, Narges & Kasaeian, Alibakhsh & Toopshekan, Ashkan & Bahrami, Leyli & Maghami, Amin, 2018. "Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability," Energy, Elsevier, vol. 154(C), pages 581-591.
    11. Li, Kai & Ma, Minda & Xiang, Xiwang & Feng, Wei & Ma, Zhili & Cai, Weiguang & Ma, Xin, 2022. "Carbon reduction in commercial building operations: A provincial retrospection in China," Applied Energy, Elsevier, vol. 306(PB).
    12. Mansouri, Seyed Amir & Nematbakhsh, Emad & Jordehi, Ahmad Rezaee & Marzband, Mousa & Tostado-Véliz, Marcos & Jurado, Francisco, 2023. "An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination," Applied Energy, Elsevier, vol. 341(C).
    13. Yang, Jingjing & Deng, Zhang & Guo, Siyue & Chen, Yixing, 2023. "Development of bottom-up model to estimate dynamic carbon emission for city-scale buildings," Applied Energy, Elsevier, vol. 331(C).
    Full references (including those not matched with items on IDEAS)

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