CAO Lihua, CUI Wanting, XU Jiaojin, et al. Application of entropy-weight-based fuzzy-matter model element in comprehensive evaluation of energy saving and emission reduction in power plants[J]. Thermal power generation, 2015, 44(1): 54-57.
CAO Lihua, CUI Wanting, XU Jiaojin, et al. Application of entropy-weight-based fuzzy-matter model element in comprehensive evaluation of energy saving and emission reduction in power plants[J]. Thermal power generation, 2015, 44(1): 54-57.DOI:
熵权模糊物元模型应用于火电厂节能减排综合评价
摘要
针对火电厂节能减排评价存在的问题
根据模糊物元理论和熵权理论建立熵权模糊物元评价模型
以信息熵为基础确定各指标权重系数
采用贴近度对节能减排效果进行综合评价。以某地区的5个火电厂为例
选取9项相关指标
构建了节能减排评价指标体系。根据本文建立的评价模型进行计算分析
得出的结果与实际情况一致
证明该方法适用于火电厂节能减排综合评价。
Abstract
Against the problems about evaluation for energy saving and emission reduction in thermal power plants
the fuzzy-matter element theory and entropy weight theory were adopted to establish the entropy weight fuzzy-matter element evaluation model
and on the basis of the information entropy the weight coefficient of each index was ascertained
finally relevant indexes were employed to carry out comprehensive evaluation on the energy saving and emission reduction effects.Taking five thermal power plants as the examples
nine related indexes were selected to construct the evaluation index system for energy saving and emission reduction.The calculation results obtained by the above model agreed well with the actual situation
indicating this method can be adopted in comprehensive evaluation of energy saving and emission reduction for thermal power plants.