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Co-optimization of building energy systems with renewable generations combining active and passive energy-saving

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  • Wu, Zhiyue
  • Shi, Xin
  • Fang, Fang
  • Wen, Gangcheng
  • Mi, Yunjie

Abstract

Establishing clean and efficient building energy systems (BES) is an efficient path to promote the low-carbon energy transition to achieve the goal of carbon peak and carbon neutrality. To fully tap the energy saving potential of buildings, a co-optimization method combined active and passive energy-saving technologies is proposed for BES. The structures and characteristics of active and passive energy-saving means are modeled and analyzed. On this basis, a double-layer co-optimization model is built to optimize the planning and operation of BES separately. Furthermore, a carbon tax is introduced to establish the connection between active and passive means, and actual uncertainties of source-load are considered through the probabilistic scenario generation and interval linear programming approach. Case studies on the BES in Xiong’an New Area, China show that the proposed co-optimization method saves about 2.2%–3.4% costs than considering only the active energy-saving. Analysis of forecast errors for different scenarios reveals planning options and detailed costs under different levels of uncertainty.

Suggested Citation

  • Wu, Zhiyue & Shi, Xin & Fang, Fang & Wen, Gangcheng & Mi, Yunjie, 2023. "Co-optimization of building energy systems with renewable generations combining active and passive energy-saving," Applied Energy, Elsevier, vol. 351(C).
    • Handle: RePEc:eee:appene:v:351:y:2023:i:c:s0306261923008784
    DOI: 10.1016/j.apenergy.2023.121514
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    1. Jia, Mengda & Srinivasan, Ravi S. & Raheem, Adeeba A., 2017. "From occupancy to occupant behavior: An analytical survey of data acquisition technologies, modeling methodologies and simulation coupling mechanisms for building energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 525-540.
    2. Najjar, Mohammad & Figueiredo, Karoline & Hammad, Ahmed W.A. & Haddad, Assed, 2019. "Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings," Applied Energy, Elsevier, vol. 250(C), pages 1366-1382.
    3. Kang, Ligai & Yang, Junhong & An, Qingsong & Deng, Shuai & Zhao, Jun & Wang, Hui & Li, Zelin, 2017. "Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff," Applied Energy, Elsevier, vol. 194(C), pages 454-466.
    4. Ferrara, Maria & Rolfo, Andrea & Prunotto, Federico & Fabrizio, Enrico, 2019. "EDeSSOpt – Energy Demand and Supply Simultaneous Optimization for cost-optimized design: Application to a multi-family building," Applied Energy, Elsevier, vol. 236(C), pages 1231-1248.
    5. Long, Sebastian & Marjanovic, Ognjen & Parisio, Alessandra, 2019. "Generalised control-oriented modelling framework for multi-energy systems," Applied Energy, Elsevier, vol. 235(C), pages 320-331.
    6. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Thalfeldt, Martin & Pikas, Ergo & Kurnitski, Jarek & Voll, Hendrik, 2017. "Window model and 5 year price data sensitivity to cost-effective façade solutions for office buildings in Estonia," Energy, Elsevier, vol. 135(C), pages 685-697.
    8. Wang, Meng & Yu, Hang & Yang, Yikun & Lin, Xiaoyu & Guo, Haijin & Li, Chaoen & Zhou, Yue & Jing, Rui, 2021. "Unlocking emerging impacts of carbon tax on integrated energy systems through supply and demand co-optimization," Applied Energy, Elsevier, vol. 302(C).
    9. Harish, V.S.K.V. & Kumar, Arun, 2016. "A review on modeling and simulation of building energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1272-1292.
    10. Liu, Jia & Cao, Sunliang & Chen, Xi & Yang, Hongxing & Peng, Jinqing, 2021. "Energy planning of renewable applications in high-rise residential buildings integrating battery and hydrogen vehicle storage," Applied Energy, Elsevier, vol. 281(C).
    11. Jing, Rui & Kuriyan, Kamal & Lin, Jian & Shah, Nilay & Zhao, Yingru, 2020. "Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach," Applied Energy, Elsevier, vol. 266(C).
    12. Zheng, Xuyue & Qiu, Yuwei & Zhan, Xiangyan & Zhu, Xingyi & Keirstead, James & Shah, Nilay & Zhao, Yingru, 2017. "Optimization based planning of urban energy systems: Retrofitting a Chinese industrial park as a case-study," Energy, Elsevier, vol. 139(C), pages 31-41.
    13. Pan, Guangsheng & Gu, Wei & Qiu, Haifeng & Lu, Yuping & Zhou, Suyang & Wu, Zhi, 2020. "Bi-level mixed-integer planning for electricity-hydrogen integrated energy system considering levelized cost of hydrogen," Applied Energy, Elsevier, vol. 270(C).
    14. Fazlollahi, Samira & Mandel, Pierre & Becker, Gwenaelle & Maréchal, Francois, 2012. "Methods for multi-objective investment and operating optimization of complex energy systems," Energy, Elsevier, vol. 45(1), pages 12-22.
    15. Karmellos, M. & Kiprakis, A. & Mavrotas, G., 2015. "A multi-objective approach for optimal prioritization of energy efficiency measures in buildings: Model, software and case studies," Applied Energy, Elsevier, vol. 139(C), pages 131-150.
    16. Lv, Chaoxian & Yu, Hao & Li, Peng & Wang, Chengshan & Xu, Xiandong & Li, Shuquan & Wu, Jianzhong, 2019. "Model predictive control based robust scheduling of community integrated energy system with operational flexibility," Applied Energy, Elsevier, vol. 243(C), pages 250-265.
    17. Bai, Linquan & Li, Fangxing & Cui, Hantao & Jiang, Tao & Sun, Hongbin & Zhu, Jinxiang, 2016. "Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 270-279.
    18. Kourkoumpas, Dimitrios-Sotirios & Benekos, Georgios & Nikolopoulos, Nikolaos & Karellas, Sotirios & Grammelis, Panagiotis & Kakaras, Emmanouel, 2018. "A review of key environmental and energy performance indicators for the case of renewable energy systems when integrated with storage solutions," Applied Energy, Elsevier, vol. 231(C), pages 380-398.
    19. Xuan, Ang & Shen, Xinwei & Guo, Qinglai & Sun, Hongbin, 2021. "A conditional value-at-risk based planning model for integrated energy system with energy storage and renewables," Applied Energy, Elsevier, vol. 294(C).
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