Optimization of Urban Heating Network Design Using Genetic Algorithm

被引：0

作者：

Wang, Andong ^{[1
]}

Li, Victor O. K. ^{[1
]}

Lam, Jacqueline C. K. ^{[1
]}

机构：

[1] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2018年

关键词：

optimization; design; District Heating Network; Genetic Algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As the main energy source is coal burning, district heating in Northern China is an important driver of air pollution. Optimization of the performance of District Heating Network (DHN) carries both social and economic benefits. This study proposes an approach for optimizing urban heating network design based on Genetic Algorithm. Our case study shows that DHN can meet the users' requirements and achieve minimum cost in parallel.

引用

页码：4484 / 4487

页数：4

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