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District heating system analysis and design optimization

delete2025-07-01
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OA
AI
P
Panteleimon Tzouganakis
M
Maria Fotopoulou
D
Dimitrios Rakopoulos *
D
Dmytro Romanchenko
N
Nikolaos Nikolopoulos
DOI：10.1016/j.energy.2025.136349delete
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摘要

摘要

En 中文
区域供热系统在促进能源效率和提高减少温室气体排放方面发挥着关键作用。本研究的目的在于提出一种区域供热系统及其扩展的分析算法，旨在优化区域供热系统的设计，从而为系统运营商在未来的投资和网络扩展方面提供有用的工具。该算法的核心是通用的，因此适用于任何系统，基于牛顿-拉夫逊方法计算压力降、流速，并由此计算管道的热损失。所提出的区域供热分析算法应用于瑞典Kungsbacka系统的模型，该模型是ENFLATE的示范站点，ENFLATE是“地平线欧洲”项目之一，与能源部门的脱碳和灵活性增强相关。根据开发算法的模拟结果，该模型与示范站点的测量数据具有良好的一致性，网络热效率的偏差为+3.4%。最后，通过基于遗传算法的优化方法展示了网络保温材料和厚度的意义，该方法旨在最小化生命周期成本。结果表明，当其厚度优化时，聚氨酯泡沫具有最低的生命周期成本，同时将单位长度的热损失降低至15.1 W/m。该开发的方法可应用于任何区域供热系统，以基于生命周期成本分析确定最佳的保温材料和厚度。
Keyword:
District heating network
Numerical modelling
Optimization
Lifecycle cost analysis
Genetic algorithm
AI总结

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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Energy 封面图
Energy
IF:
9.4
论文数:
4.3W
被引数:
20.2W

机构

S
swedish environm res inst int
学者数:
1
论文数: 1
被引数: 0
C
Chemical Process and Energy Resources Institute
学者数:
17
论文数: 7
被引数: 1
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