Multi-objective optimisation targeted at the thermal performance of low-energy buildings design in southern Brazil

Abstract

The aim of this paper is to present the potential of a multi-objective optimisation of architectural design solutions that offer better thermal comfort conditions and lower energy consumption. The study was applied in a rectangular box model as a single thermal zone, and different values were considered for the constructive parameters of the building. In addition, the following elements of the envelope were also analysed: solar orientation, the properties of opaque and transparent materials, window dimensions and sunshade. The EnergyPlus software associated with the JEPlus + EA parameterisation and optimisation tool were used for the simulations. The optimisation process considered the minimisation for both the Heating Degree Hours (GHa) and Cooling Degree Hours (GHr). This minimisation is interesting for cities with a humid temperate climate in southern Brazil, where it is necessary to adopt conflicting building design strategies due to the different winter and summer conditions. The results for the envelope configurations for one given model site orientation are presented through the Pareto Frontier. Hence, it is possible to identify the relationship between the various designed parameters assumed, with the minimisation of the established energy consumption requirements for the architectural model analysed.

Keywords:
Multi-objective optimisation; Genetic algorithms; Low-energy buildings