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Environment dominated evaluation modeling and collocation optimization of a distributed energy system based on solar and biomass energy

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  • Zhang, Dong
  • Zhang, Rui
  • Zhang, Bin
  • Zheng, Yu
  • An, Zhoujian

Abstract

The distributed energy system (DES) with multi-renewable energy complementary fits the current environmental policies and has the characteristics of energy conservation, emission reduction, and environment-friendly. In this work, the DES based on solar and biomass energy is established to meet the energy demand of 50 households in villages of cold areas. Considering the urgent environmental issue, a multi-dimensional evaluation system dominated by the environment is constructed. The maximization of carbon dioxide emission reduction rate, annual cost saving rate and primary energy saving rate are taken as the objective function. The parameters of the main equipment are as the decision variables, integrated with non-dominated sorted genetic algorithm-Ⅱ, and the multi-objective optimization model is founded. The Entropy weight-TOPSIS method is used to solve the optimal capacity of the proposed system under the optimum operation mode. Under all operation modes, the optimized results are better than before optimization. In the mode of mixed operation, the comprehensive evaluation index reaches the highest value, increasing from 48.66% to 52.30%. And the comprehensive environmental index promoted from 75.90% to 82.53%, which is the best value among all schemes, verifying the reliability of the multi-objective optimization model and the emission reduction potential of the proposed system.

Suggested Citation

  • Zhang, Dong & Zhang, Rui & Zhang, Bin & Zheng, Yu & An, Zhoujian, 2023. "Environment dominated evaluation modeling and collocation optimization of a distributed energy system based on solar and biomass energy," Renewable Energy, Elsevier, vol. 202(C), pages 1226-1240.
    • Handle: RePEc:eee:renene:v:202:y:2023:i:c:p:1226-1240
    DOI: 10.1016/j.renene.2022.12.028
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    2. Friebe, Maximilian & Karasu, Arda & Kriegel, Martin, 2023. "Methodology to compare and optimize district heating and decentralized heat supply for energy transformation on a municipality level," Energy, Elsevier, vol. 282(C).
    3. Li, Ling-Ling & Qu, Li-Nan & Tseng, Ming-Lang & Lim, Ming K. & Ren, Xin-Yu & Miao, Yan, 2024. "Optimization and performance assessment of solar-assisted combined cooling, heating and power system systems: Multi-objective gradient-based optimizer," Energy, Elsevier, vol. 289(C).
    4. Zheng, Nan & Zhang, Hanfei & Duan, Liqiang & Wang, Xiaomeng & Wang, Qiushi & Liu, Luyao, 2023. "Multi-criteria performance analysis and optimization of a solar-driven CCHP system based on PEMWE, SOFC, TES, and novel PVT for hotel and office buildings," Renewable Energy, Elsevier, vol. 206(C), pages 1249-1264.

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