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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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    1. Liu, Taixiu & Liu, Qibin & Lei, Jing & Sui, Jun & Jin, Hongguang, 2018. "Solar-clean fuel distributed energy system with solar thermochemistry and chemical recuperation," Applied Energy, Elsevier, vol. 225(C), pages 380-391.
    2. Kyriakarakos, George & Dounis, Anastasios I. & Rozakis, Stelios & Arvanitis, Konstantinos G. & Papadakis, George, 2011. "Polygeneration microgrids: A viable solution in remote areas for supplying power, potable water and hydrogen as transportation fuel," Applied Energy, Elsevier, vol. 88(12), pages 4517-4526.
    3. Wang, Jiang-Jiang & Yang, Kun & Xu, Zi-Long & Fu, Chao, 2015. "Energy and exergy analyses of an integrated CCHP system with biomass air gasification," Applied Energy, Elsevier, vol. 142(C), pages 317-327.
    4. Wang, Jiangjiang & Mao, Tianzhi & Sui, Jun & Jin, Hongguang, 2015. "Modeling and performance analysis of CCHP (combined cooling, heating and power) system based on co-firing of natural gas and biomass gasification gas," Energy, Elsevier, vol. 93(P1), pages 801-815.
    5. Li, Zhao & Luo, Zujiang & Wang, Yan & Fan, Guanyu & Zhang, Jianmang, 2022. "Suitability evaluation system for the shallow geothermal energy implementation in region by Entropy Weight Method and TOPSIS method," Renewable Energy, Elsevier, vol. 184(C), pages 564-576.
    6. Song, Zhihui & Liu, Tao & Lin, Qizhao, 2020. "Multi-objective optimization of a solar hybrid CCHP system based on different operation modes," Energy, Elsevier, vol. 206(C).
    7. Li, Xing & Wang, Zhifeng & Yang, Ming & Yuan, Guofeng, 2019. "Modeling and simulation of a novel combined heat and power system with absorption heat pump based on solar thermal power tower plant," Energy, Elsevier, vol. 186(C).
    8. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    9. Chicco, Gianfranco & Mancarella, Pierluigi, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part I: Models and indicators," Energy, Elsevier, vol. 33(3), pages 410-417.
    10. Ahn, Hyeunguk & Rim, Donghyun & Pavlak, Gregory S. & Freihaut, James D., 2019. "Uncertainty analysis of energy and economic performances of hybrid solar photovoltaic and combined cooling, heating, and power (CCHP + PV) systems using a Monte-Carlo method," Applied Energy, Elsevier, vol. 255(C).
    11. Zhang, Dong & Zheng, Yu & Wu, Jianghao & Li, Bingyang & Li, Jinping, 2020. "Annual energy characteristics and thermodynamic evaluation of combined heating, power and biogas system in cold rural area of Northwest China," Energy, Elsevier, vol. 192(C).
    12. Gazda, Wiesław & Stanek, Wojciech, 2016. "Energy and environmental assessment of integrated biogas trigeneration and photovoltaic plant as more sustainable industrial system," Applied Energy, Elsevier, vol. 169(C), pages 138-149.
    13. Mancarella, Pierluigi & Chicco, Gianfranco, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part II: Analysis techniques and application cases," Energy, Elsevier, vol. 33(3), pages 418-430.
    14. Pengyu Chen, 2019. "A Novel Coordinated TOPSIS Based on Coefficient of Variation," Mathematics, MDPI, vol. 7(7), pages 1-17, July.
    15. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2021. "Multi-objective optimization and evaluation of hybrid CCHP systems for different building types," Energy, Elsevier, vol. 215(PA).
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    2. 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.
    3. 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).
    4. 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).

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