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Techno-economic-environmental assessment and performance comparison of a building distributed multi-energy system under various operation strategies

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  • Ge, Yongkai
  • Ma, Yue
  • Wang, Qingrui
  • Yang, Qing
  • Xing, Lu
  • Ba, Shusong

Abstract

The distributed energy system (DES) is a promising technology that could enable decarbonization in the building sector. Comprehensive DES system assessment from a holistic perspective is crucial for system design, operation strategy selection, and performance optimization. This paper proposes a techno-economic-environmental integrated assessment model for comprehensive system evaluation. The DES configuration mainly includes a photovoltaic panel, ground source heat pump, gas turbine, absorption heat pump, and thermal storage tank. The system is simulated under three operation strategies with MATLAB/Simulink, which are following thermal load (FTL), following electric load (FEL), and following electric load with thermal storage (FELTS). Entropy-TOPSIS method is used to evaluate the DES's techno-economic-environmental performance under various operation strategies. The results indicate that the DES' primary energy efficiency ratio under the three operation strategies of FTL, FEL and FELTS are 51.49%, 86.78%, and 125.69%, respectively. The dynamic annual values are 1.05×106 CNY, 7.23×105 CNY, and 5.94×105 CNY, respectively. The total greenhouse gas emissions are 36.2 kgCO2eq/(m2∙a), 22.8 kgCO2eq/(m2∙a), and 16.4 kgCO2eq/(m2∙a), respectively. The entropy-TOPSIS analysis results showed that under FELTS operation strategy, DES performs the best; it has the best indicators for technical and environmental evaluation.

Suggested Citation

  • Ge, Yongkai & Ma, Yue & Wang, Qingrui & Yang, Qing & Xing, Lu & Ba, Shusong, 2023. "Techno-economic-environmental assessment and performance comparison of a building distributed multi-energy system under various operation strategies," Renewable Energy, Elsevier, vol. 204(C), pages 685-696.
    • Handle: RePEc:eee:renene:v:204:y:2023:i:c:p:685-696
    DOI: 10.1016/j.renene.2022.12.127
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    2. Zhu, Wanchao & Han, Jitian & Ge, Yi & Yang, Jinwen & Liang, Wenxing, 2024. "Multi-criteria optimization of a combined power and freshwater system using modified NSGA-II and AHP-entropy-topsis," Renewable Energy, Elsevier, vol. 227(C).
    3. Ren, Xin-Yu & Li, Ling-Ling & Ji, Bing-Xiang & Liu, Jia-Qi, 2024. "Design and analysis of solar hybrid combined cooling, heating and power system: A bi-level optimization model," Energy, Elsevier, vol. 292(C).

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