Thermal Science 2014 Volume 18, Issue suppl.2, Pages: 375-391
https://doi.org/10.2298/TSCI111024203S
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Thermal-economic multiobjective optimization of heat pipe heat exchanger for energy recovery in HVAC applications using genetic algorithm
Sanaye Sepehr (Energy Systems Improvement Laboratory, Mechanical Engineering Department, University of Science and Technology, Iran)
Modarrespoor Davood (Energy Systems Improvement Laboratory, Mechanical Engineering Department, University of Science and Technology, Iran)
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.
Keywords: heat pipe heat exchanger, heat recovery, effectiveness, total cost, multiobjective optimization, NSGA-II