摘要
针对楼宇式综合能源系统设计了一套通用评价体系,为系统设计提供参考。采用多目标分析方法,从能耗、环境、经济3个角度定义了14个子指标;基于MATLAB软件,运用绝对层次分析法(AHP)确定了各指标的权重系数;采用变异系数法进行了验证,得到了最终的评价体系。将该体系应用于3个楼宇式综合能源系统项目,按照定义计算各项指标,根据确定的参考范围对指标进行无量纲化,计算出每项指标的得分并按照权重系数计算综合得分。结果表明,项目1综合得分最高,其中综合能源利用率、清洁能源占比、系统热效率较高,环境指标和经济指标都在正常范围内,而节能率和冷效率较低,后期可进行优化。本文提出的评价体系有别于传统能源系统,考虑了冷热电能量品质、储能因素和清洁能源占比等因素,具有一定的普适性。
A general evaluation system is designed for the building integrated energy system to provide reference for system design. By using multi-objective analysis method, 14 sub-indicators are defined from three perspectives of energy consumption, environment and economy. Based on MATLAB software, the weight coefficient of each index is determined by using absolute analytic hierarchy process (AHP) and the coefficient of variation method. The system is applied to three building-type integrated energy system projects. Each indicator is calculated and dimensionless according to the determined reference range. The comprehensive score of each project is calculated according to the weight coefficient. The results show that the score of Project 1 is the highest. Its comprehensive energy utilization, clean energy ratio, system thermal efficiency environmental indicators and economic indicators are in the normal range, while the energy saving rate and cooling efficiency are low, which can be optimized at the later stage. The evaluation system proposed is difierent from the conventional energy system, it considers the factors such as the energy quality, energy storage and proportion of clean energy and it has certain universality.
作者
严嘉伦
林俊光
楼可炜
张曦
盛德仁
YAN Jialun;LIN Junguang;LOU Kewei;ZHANG Xi;SHENG Deren(Institute of Thermal Science and Power System,Zhejiang University Hangzhou 310027,China;Zhejiang Energy Group Research Institute Co.,Ltd.,Hangzhou 311100,China;State Grid Zhqiang Electric Power Research Institute,Hangzhou 310014,China)
出处
《热力发电》
CAS
北大核心
2019年第12期25-30,共6页
Thermal Power Generation
关键词
综合能源系统
绝对层次分析法
变异系数法
评价指标
权重
能耗
环境
经济
integrated energy system
absolute analytic hierarchy process
coefificient of variation method
evaluation index
weight
energy consumption
environment
economy