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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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