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基于物元分析的火电机组节能减排评价
引用本文:孙建梅,邢柳,赵文会. 基于物元分析的火电机组节能减排评价[J]. 上海电力学院学报, 2017, 33(5): 439-444,450
作者姓名:孙建梅  邢柳  赵文会
作者单位:上海电力学院, 上海 200090,华能(苏州工业园区)发电有限责任公司, 江苏 苏州 215000,上海电力学院, 上海 200090
基金项目:国家自然科学基金(71403163).
摘    要:随着国家火电机组的节能减排力度的加大,国内多数火电机组都将进行节能减排技术改造.为了能够合理评价电厂节能减排的潜力和状况,在根据火电厂运行指标的特点建立火电厂节能减排指标体系的基础上,建立了基于物元分析理论的节能减排评价模型,并选取5台发电机组进行实例分析,得出的结果与实际情况相符.这说明物元分析理论对发电机的节能减排改造有指导作用.

关 键 词:物元分析  节能减排  火电机组
收稿时间:2016-04-18

Thermal Power Unit Energy Conservation and Emission Reduction Evaluation Based on Matter-element Analysis Theory
SUN Jianmei,XING Liu and ZHAO Wenhui. Thermal Power Unit Energy Conservation and Emission Reduction Evaluation Based on Matter-element Analysis Theory[J]. Journal of Shanghai University of Electric Power, 2017, 33(5): 439-444,450
Authors:SUN Jianmei  XING Liu  ZHAO Wenhui
Affiliation:Shanghai University of Electric Power, Shanghai, 200090 China,Huaneng(Suzhou Industrial Park) Power Generation Company Ltd., Suzhou 215000, China and Shanghai University of Electric Power, Shanghai, 200090 China
Abstract:In recent years,as China increases its implementation on energy conservation and emission reduction of thermal power units,the majority of domestic thermal power units need to be reformed.In order to evaluate power plants'' energy conservation and emission reduction potential and situations from a reasonable perspective,first of all,an index system for thermal power plant energy saving and emission reduction is built based on characteristics of thermal power plant operating index;then the evaluation model of energy saving and emission reduction is established in accordance with matter-element analysis theory;finally,a real case analysis of five sets of generating units from five plant is made.The results obtained match the real situation,which indicates that the matter-element analysis theory is of unique advantage in evaluating energy conservation and emission reduction for electric generators.
Keywords:matter element analysis  energy saving and emissions reduction  thermal power plant unit
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