Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
SELECTION OF THERMAL INSULATION APPLIED IN INDUSTRIAL SHED ROOF USING GENETIC ALGORITHM
Submission Author:
Michel Nikolaos Stamoulis , PR
Co-Authors:
Gerson Henrique dos Santos, Angelo Marcelo Tusset, Douglas Pereira Vasconcellos, Carlos Henrique Diedrich, Michel Nikolaos Stamoulis
Presenter: Michel Nikolaos Stamoulis
doi://10.26678/ABCM.COBEM2017.COB17-1743
Abstract
In order to obtain a better building energy performance through envelope building optimization, a decisive strategy to select appropriate thermal insulation material is required. This paper presents an Multi-Criteria Analysis Decision (MCDA) methodology to select most adequate insulation material on industrial shed roof, analyzing cost, thermal comfort, water vapor resistance factor and thermal diffusivity. To determine the appropriate insulation choice, thermal comfort indexes were obtained using a building performance simulation software (DOMUS®) in which four different insulation materials were used. This thermal comfort database has been utilized to the input of the Genetic Algorithm (GA), implemented in MATLAB® software, which provided the best choice of material and rank the several insulation layers. According to weight factors applied on the selected criteria for which the alternatives are valued, ranked and selected, the insulation material rock wool appeared as first alternative for thermal energy safe from the range of insulation materials analyzed.
Keywords
Thermal Insulation, Genetic Algorithms, Building Simulation
