Airflow Analysis in a Double-Skin Façade Building Under Tropical Climates Using Evolutionary Algorithms
摘要
Buildings may use 20% more energy by 2050 as a result of climate change, and energy efficiency is a key component of sustainable development in the construction industry. In this context, the double-skin façade has gained recognition as a design solution with the potential to enhance the energy efficiency of buildings in both hot and cold climates. The purpose of this research is to look at the usage of PSO and GA optimization algorithms in conjunction with EnergyPlus in the evaluation of design parameters of buildings with double façades using computational models. The optimization algorithms operate in the generation of scenarios, considering two climatic zones in Brazil. The tool can potentially assist civil construction designers in productive computing resources, enabling faster, and more assertive decision-making.