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Thermal-economic multiobjective optimization of heat pipe heat exchanger for energy recovery in HVAC applications using genetic algorithm
2014
Thermal Science
Cost and effectiveness are two important factors of heat pipe heat exchanger design. The total cost includes the investment cost for buying equipment (heat exchanger surface area) and operating cost for energy expenditures (related to fan power). The heat pipe heat exchanger was thermally modeled using ε-NTU method to estimate the overall heat transfer coefficient for the bank of finned tubes as well as estimating pressure drop. Fast and elitist non-dominated sorting genetic algorithm II with
doi:10.2298/tsci111024203s
fatcat:qv2lcwlfpng6xcwdp64zmbnvsa