Multi-objective optimization of fixed solar protections to reduce energy requirements in a temperate cold arid climate
DOI:
https://doi.org/10.18537/est.v014.n028.a02Keywords:
energy efficiency, multi-objective optimization, shading devices, parametric simulation, cold arid temperate climateAbstract
The parametric approach used in this study explores various solar shading design scenarios during the early stages of the project. The objective is to reduce annual energy requirements in cold, arid, temperate climates, such as Mendoza, classified as BWk in the Köppen system. A workflow integrating computational simulations and data analysis is implemented to evaluate multiple geometric configurations of fixed solar shading on a study model. The NSGA-II algorithm is employed for multi-objective optimization, identifying designs located on the Pareto front. Subsequently, the K-Means clustering algorithm is applied to group these solutions into ten design proposals. The results indicate that, despite variations in certain parameters, a well-designed solar shading system can effectively balance energy demand. This methodology, adaptable to more complex projects, serves as an essential tool for improving energy performance from the early design stages.
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