Study of optimal allocation of multi-energy complementary cogeneration system based on entropy weight-TOPSIS

被引：0

作者：

Zhang D. ^{[1
,2
]}

Zhang B. ^{[1
,2
]}

Zhang R. ^{[1
,2
]}

An Z. ^{[1
,2
]}

机构：

[1] School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou

[2] Gansu Key Laboratory of Biomass and Solar Complementary Energy Supply System, Lanzhou

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2022年 / 50卷 / 10期

关键词：

distributed energy supply system; entropy weight-TOPSIS; multi-attribute evaluation; multi-objective optimization; multiple renewable energy complementary;

D O I：

10.13245/j.hust.220204

中图分类号：

学科分类号：

摘要：

Based on the energy demand of rural residents，the optimal capacity allocation of biomass，solar and air energy complementary distributed energy supply system was studied． The maximum evaluation indexes of environment，energy consumption and economy were selected as the multi-objective optimization functions，and the capacity of internal combustion engine，anaerobic fermentation tank，photovoltaic system and air-source heat pump were chosen as the decision variables．Using the NSGA-Ⅱ algorithm，the optimal capacity allocation was solved combined with the entropy weight-TOPSIS．The results show that the more population and generation times，the better the optimized results． Under the same weight of environment，heat and economy，the comprehensive performance index of the system increases from 48.4% to 53.0%． The carbon dioxide emission reduction rate increases from 103.25% to 108.43%，the primary energy saving rate raises from 12.74% to 32.79%，and the annual cost saving rate decreases from 29.34% to 17.89%． © 2022 Huazhong University of Science and Technology. All rights reserved.

引用

页码：136 / 142

页数：6

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