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• W4311461689 abstract "Capacity allocation of the integrated energy system (IES) has a great impact on the system operation performance. To address this issue, optimal configuration of multi-energy complementary energy system, such as photovoltaic, wind turbine, ground source heat pump and energy storage system, with considerations of Life Cycle Initial Cost (LCIC), Life Cycle Carbon Emission (LCCE) and Utilization Ratio Of Renewable Energy (REPp) is conducted via the method of Multi-Objective Particle Swarm Optimization (MOPSO) for an office park. The results indicate the optimized model achieves higher REPp, smaller LCCE and lower payback period comparing with the original multi-energy complementary energy system, outstanding its advantages in carbon reduction, economic friendly and environmentally friendly by applying the optimization configuration." @default.
• W4311461689 created "2022-12-26" @default.
• W4311461689 creator A5020070263 @default.
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• W4311461689 date "2022-11-23" @default.
• W4311461689 modified "2023-09-30" @default.
• W4311461689 title "Research on multi-objective optimal sizing of multi-energy complementary energy system in the park" @default.
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• W4311461689 doi "https://doi.org/10.1117/12.2645487" @default.
• W4311461689 hasPublicationYear "2022" @default.
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