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Study on the optimal allocation of co-production system based on multi-renewable energy
LI Jin-ping, NIU Yi-nan, LI Zi-jing, LI Tian-shu, VOJISLAV Novakovic, WANG Chun-long
2023, 49 (6):
41-49.
In order to improve the overall performance of co-production system based on multi-renewable energy, a reasonable capacity allocation is very important. For the co-production system based on biomass, solar and air energy, the maximization of primary energy saving rate, annual cost saving rate and carbon dioxide emission reduction rate are selected as the optimization functions, and the capacity of PV/T, internal combustion engine and air source heat pump are selected as decision variables. Using the NSGA-Ⅱ algorithm and weight-TOPSIS, the optimal capacity allocation is solved. Finally, the feasibility of the optimization model is validated through illustrative examples, and the sensitivity of system economic performance to cost parameters is explored. The results show that the optimized scheme exhibits excellent performance in energy, economy and environment, with a primary energy saving rate of 29.07%, an annual cost saving rate of 58.15%, and the carbon dioxide emission reduction rate of 54.30%. Furthermore, the cost parameters of anaerobic fermentation have a substantial influence on the economic performance of the system.
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