The rational use of energy has motivated research on improving the energy efficiency of\nbuildings, which are responsible for a large share of world consumption. A strategy to achieve this\ngoal is the application of optimized thermal insulation on a building envelope to avoid thermal\nexchanges with the external environment, reducing the use of heating, ventilation and airconditioning\n(HVAC) systems. In order to contribute to the best choice of insulation applied to an\nindustrial shed roof, this study aims to provide an optimization tool to assist this process. Beyond\nthe thermal comfort and cost of the insulation, some hygrothermic properties also have been\nanalysed to obtain the best insulation option. To implement this optimization technique, several\nthermo-energetic simulations of an industrial shed were performed using the Domus software,\napplying 4 types of insulation material (polyurethane, expanded polystyrene, rockwool and glass\nwool) on the roof. Ten thicknesses ranging from 0.5 cm to 5 cm were considered, with the purpose\nof obtaining different thermal comfort indexes (PPD, predicted percentage dissatisfied). Posteriorly,\nthe best insulation ranking has been obtained from the weights assigned to the parameters in the\nobjective function, using the technique of the genetic algorithm (GA) applied to multi-criteria\nselection. The optimization results showed that polyurethane (PU) insulation, applied with a\nthickness of 1 cm was the best option for the roof, considering the building functional parameters,\noccupant metabolic activity, clothing insulation and climate conditions. On the other hand, when\nthe Brazilian standard was utilized, rock wool (2 cm) was considered the best choice.
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