基于改进AHP-TOPSIS的村镇太阳能+生物质能联合供暖综合评价

杨雨莹; 任晓芬; 张景; 薛道荣; 韩成明; 杨胜东

doi:10.19912/j.0254-0096.tynxb.2022-1602

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (2) : 342-350. DOI: 10.19912/j.0254-0096.tynxb.2022-1602

基于改进AHP-TOPSIS的村镇太阳能+生物质能联合供暖综合评价

杨雨莹¹, 任晓芬^1,2, 张景³, 薛道荣⁴, 韩成明⁴, 杨胜东⁴

作者信息 +

COMPREHENSIVE EVALUATION OF COMBINED SOLAR+BIOMASS HEATING IN VILLAGES AND TOWNS BASED ON IMPROVED AHP-TOPSIS

Yang Yuying¹, Ren Xiaofen^1,2, Zhang Jing³, Xue Daorong⁴, Han Chengming⁴, Yang Shengdong⁴

Author information +

文章历史 +

摘要

构建基于改进层次分析法（AHP）-逼近理想解排序法（TOPSIS）的村镇太阳能+生物质能联合供暖综合评价模型,过程包括建立基于能源效益、经济效益、环境效益、室内环境4个准则的评价指标体系,改进AHP确定指标权重,TOPSIS综合评级。将模型应用于案例,得出案例综合评价等级。结果表明：该评价模型可通过理论计算客观地得到评级,增强了评价的科学性,案例4个准则评级依次为优秀、良好、优秀、良好,综合评价等级为良好。

Abstract

The paper constructs a combined solar+biomass energy evaluation model based on analytic hierarchy process （AHP）-technique for order preference by similarity to ideal solution （TOPSIS） in villages and towns. The process includes： establishing an evaluation index system based on four criteria of energy efficiency, economic efficiency, environmental efficiency, and indoor environment, improving AHP to determine index weights, and TOPSIS comprehensive rating. The model was applied to the case, and the comprehensive evaluation rating of the case was derived. The results show that the evaluation model can objectively get the rating by theoretical calculation, which enhances the scientificity of the evaluation, and the 4 criteria ratings of the case are excellent, good, excellent and good in order, and the comprehensive evaluation rating is good.

导出引用

杨雨莹, 任晓芬, 张景, 薛道荣, 韩成明, 杨胜东. 基于改进AHP-TOPSIS的村镇太阳能+生物质能联合供暖综合评价[J]. 太阳能学报. 2024, 45(2): 342-350 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1602

Yang Yuying, Ren Xiaofen, Zhang Jing, Xue Daorong, Han Chengming, Yang Shengdong. COMPREHENSIVE EVALUATION OF COMBINED SOLAR+BIOMASS HEATING IN VILLAGES AND TOWNS BASED ON IMPROVED AHP-TOPSIS[J]. Acta Energiae Solaris Sinica. 2024, 45(2): 342-350 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1602

中图分类号： TU83

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