工程热物理学报2024,Vol.45Issue(3) :644-651.

考虑变负荷能耗特性的技术经济最佳热化系数研究

Study on Techno-Economic Optimal Cogeneration Share Coefficient Considering Energy Consumption Characteristics of Variable Load Conditions

马国锋 刘明 李卫东 严俊杰
工程热物理学报2024,Vol.45Issue(3) :644-651.

考虑变负荷能耗特性的技术经济最佳热化系数研究

Study on Techno-Economic Optimal Cogeneration Share Coefficient Considering Energy Consumption Characteristics of Variable Load Conditions

马国锋 1刘明 1李卫东 2严俊杰1
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作者信息

  • 1. 西安交通大学动力工程多相流国家重点实验室,西安 710049
  • 2. 中国华能集团清洁能源技术研究院,北京 102209
  • 折叠

摘要

最佳热化系数可指导热电联机组容量配置,实现热电联产经济效益的最大化.本文提出了考虑变负荷能耗特性的技术经济最佳热化系数确定方法,建立热电联产系统变工况分析模型,计算获得了案例机组的变负荷能耗特性,优化得到了技术经济最佳热化系数.结果表明:不考虑、考虑变负荷能耗特性的技术经济最佳热化系数分别为0.750、0.702,不考虑变负荷能耗特性年节约费用的偏差达22.0%,考虑变负荷能耗特性后可获得更加精准的热电联产技术经济效益.

Abstract

The optimal cogeneration share coefficient can guide the capacity configuration of co-generation units and maximize the economic benefits of cogeneration.In this paper,a method for determining the techno-economic optimal cogeneration share coefficient considering the energy con-sumption characteristics of variable load conditions is proposed,the off-design working condition analysis model of cogeneration system is developed,and the variable load energy consumption char-acteristics of the case unit are calculated.The techno-economic cogeneration share coefficient is optimized.The results show that the optimal techno-economic heating coefficients are 0.750 and 0.702 respectively when considering and ignoring the energy consumption characteristics of variable load conditions,and the corresponding annual cost saving relative error without considering char-acteristics of variable load conditions reaches 22.0%.More accurate techno-economic benefits of cogeneration will be obtained by considering the energy consumption characteristics of variable load conditions.

关键词

区域供热/热电联产/变负荷/技术经济最佳热化系数

Key words

district heating/cogeneration/variable load/techno-economic optimal cogeneration share coefficient

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基金项目

国家自然科学基金(52022079)

出版年

2024
工程热物理学报
中国工程热物理学会 中国科学院工程热物理研究所

工程热物理学报

CSTPCD北大核心
影响因子:0.4
ISSN:0253-231X
参考文献量21
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