TY - JOUR
TI - Thermal-economic multiobjective optimization of heat pipe heat exchanger for energy recovery in HVAC applications using genetic algorithm
AU - Sanaye Sepehr
AU - Modarrespoor Davood
JN - Thermal Science
PY - 2014
VL - 18
IS - 12
SP - 375
EP - 391
PT - Article
AB - Cost and effectiveness are two important factors of heat pipe heat exchanger  (HPHE) 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 HPHE was thermally modeled using  e-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 (NSGA-II) with continuous and  discrete variables was applied to obtain the maximum effectiveness and the  minimum total cost as two objective functions. Pipe diameter, pipe length,  numbers of pipes per row, number of rows, fin pitch and fin length ratio  were considered as six design parameters. The results of optimal designs  were a set of multiple optimum solutions, called ‘Pareto optimal solutions’.  The comparison of the optimum values of total cost and effectiveness,  variation of optimum values of design parameters as well as estimating the  payback period were also reported for various inlet fresh air volume flow  rates.