Optimization of Finned Heat Pipe for Heat Recovery in Air Conditioning System with Genetic Algorithm

摘要：

The energy consumption about air-conditioning of buildings continues to increase and the new wind energy accounts for 4%～12% of the buildings total energy consumption. So it plays a great role on air conditioning system using heat pipe as heat recovery device. The paper analyses the heat transfer model of the uniform annular finned heat pipe under the condition of air conditioning. It establishes functions about fin structure parameter, such as height, spacing and thickness of fin when volume of fin is the smallest under unit temperature difference and unit quantity of heat. It uses genetic algorithM to optimize the model of the uniform annular finned heat pipe. The calculation result sliows that the method of genetic algorithm is effective.

关键词： Genetic Algorithm Optimization Finned Heat Pipe Air Conditioning System

作者: Jianfeng Qian Jili Zhang

作者单位: Dalian University of Technology, Dalian 116024, P.R. China Harbin University of commerce, Harbini Dalian University of Technology, Dalian 116024, P.R. China

会议类型: 国际会议

会议名称: The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)

会议地点: 长沙

会议语种:英文

页码: 754-759

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）