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基于遗传算法的单U地源热泵钻孔内热阻研究
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A Study on the Heat Resistance of Single U Pipe in the Ground Source Heat Pump System Based on Genetic Algorithm
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    基于地源热泵单U地埋管二维换热模型,以钻孔内的换热热阻为目标函数,以回填材料导热系数、两埋管间距及管内水流速等参数为优化变量,利用添加了精英保留及迁移优化的遗传算法,对各参数同时变化时进行了目标函数优化,并分析了各参数对热阻性能影响,当回填材料导热系数、两埋管间距及流速均为最大值时,其对应的钻孔内换热热阻达到最小.研究结果对优化地埋侧换热器的设计具有一定参考价值.

    Abstract:

    Based on the two-dimensional heat transfer model for single U pipe in GSHP (Ground Source Heat Pump) system, this paper analyzed the influences of main different multi-variables on the heat resistance, including the heat conductivity coefficient of backfill materials, the buried pipe spacing in the borehole and the water velocity in the pipes.Improved Genetic Algorithm (IGA), in which elitism selection and migration were combined, was used to optimize the heat resistance in the borehole based on foregoing multi-variables.According to the optimized result, the minimum heat resistance was obtained when the heat conductivity coefficients of backfill materials, the buried pipe spacing and the water velocity in the pipes reached their maximal designed values.The results are useful for the optimization of the heat exchanger design of GSHP.

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张 泉,杜亚星,张林峰,周明卫.基于遗传算法的单U地源热泵钻孔内热阻研究[J].湖南大学学报:自然科学版,2014,41(9):100~105

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  • 在线发布日期: 2014-10-11
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