能源与节能2024,Issue(7) :82-85.

基于全局敏感性分析的火电厂能耗诊断研究

Energy Consumption Diagnosis of Thermal Power Plant Based on Global Sensitivity Analysis

何钦
能源与节能2024,Issue(7) :82-85.

基于全局敏感性分析的火电厂能耗诊断研究

Energy Consumption Diagnosis of Thermal Power Plant Based on Global Sensitivity Analysis

何钦1
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作者信息

  • 1. 广东大唐国际潮州发电有限责任公司,广东 潮州 515723
  • 折叠

摘要

针对现代火电厂能耗较高的问题,介绍 1 种基于全局敏感性分析的火电厂能耗诊断方法.该方法主要由 2 个部分构成,一部分为基于GWO(Grey Wolf Optimizer,灰狼优化算法)的火电厂能耗诊断模型,另一部分为基于全局敏感性分析的火电厂能耗计算方法,在 2 个模块共同作用下,准确计算出火电厂能耗水平,以此为火电厂节能优化提供支持,具有一定的应用价值.

Abstract

Aiming at the problem of high energy consumption of modern thermal power plants,a method of energy consumption diagnosis of thermal power plants based on global sensitivity analysis was introduced.The method mainly consists of two parts,one is the diagnosis model of energy consumption of thermal power plant based on GWO(Grey Wolf Optimizer),the other is the calculation method of energy consumption of thermal power plant based on global sensitivity analysis.Under the joint action of the two modules,the energy consumption level of thermal power plant was accurately calculated,so as to provide support for energy-saving optimization of thermal power plant,and has certain application value.

关键词

全局敏感性/火电厂/能耗诊断/灰狼优化算法

Key words

global sensitivity/thermal power plant/energy consumption diagnosis/Grey Wolf Optimizer

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出版年

2024
能源与节能
山西省能源研究会 山西省节能研究会

能源与节能

影响因子:0.561
ISSN:2095-0802
参考文献量5
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