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

Ge, Yongkai, Ma, Yue, Wang, Qingrui, Yang, Qing, Xing, Lu and Ba, Shusong (2023) Techno-economic-environmental assessment and performance comparison of a building distributed multi-energy system under various operation strategies. Renewable Energy. ISSN 0960-1481 (In Press)

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Official URL: https://doi.org/10.1016/j.renene.2022.12.127

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 × 10 6 CNY, 7.23 × 10 5 CNY, and 5.94 × 10 5 CNY, respectively. The total greenhouse gas emissions are 36.2 kgCO2eq/( m 2 ∙ a ) , 22.8 kgCO2eq/( m 2 ∙ a ) , and 16.4 kgCO2eq/( m 2 ∙ 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.

Item Type: Article
Additional Information: Funding information: This work was supported by National Natural Science Foundation of China (No. 52076099), the Graduates' Innovation Fund, Huazhong University of Science and Technology (No. 2020yjsCXCY067) and the Open Research Project Program of the State Key Laboratory of Internet of Things for Smart City (University of Macau) (No. SKL-IoTSC(UM)-2021-2023/ORPF/SA13/2022). We also would like to thank members of the Harvard-China Project on Energy, Economy and Environment for useful comments and suggestions, and the Harvard Global Institute for an award to the Harvard-China Project on Energy, Economy and Environment.
Uncontrolled Keywords: Distributed energy system, Energy storage, Life cycle assessment, Operation strategy, Entropy weight method, Technique for order preference by similarity to an ideal solution
Subjects: H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Rachel Branson
Date Deposited: 04 Jan 2023 13:43
Last Modified: 04 Jan 2023 13:45
URI: https://nrl.northumbria.ac.uk/id/eprint/51044

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