Determination of Insulation Parameters with Optimization Algorithms
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2022
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Abstract
Insulation is one of the essential energy efficiency and sustainability topics. While insulation is primarily the subject of buildings, insulation can also be made in pipes and heat exchangers in the factory environment. In the first example of this study, the insulation material that should be used for the specified heat loss in the case of a basic circular heat source being covered with insulation material was determined, while in the second case, the targeted insulation thickness with the accepted maximum heat loss and insulation material coefficient was tried to be determined. The results obtained show that errors were zero in particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms in the first case. In the second case, PSO, ABC, and firefly (FA) optimization algorithms have the lowest average error with 3x10-5%, 1x10-5%, 3x10-5%, respectively. © 2022 IEEE.
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Energy efficiency , Heat exchangers , Heat losses , Insulating materials , Particle swarm optimization (PSO) , Sustainable development , Thermal insulation , Bee colony algorithms , Building insulations , Energy , Heat sources , In-pipe , Insulation materials , Insulation thickness , Material coefficients , Optimisations , Optimization algorithms , Heat transfer