Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Building Geometry Optimization with Integrated Daylighting and Energy Simulation

Yuan Fang1, Soolyeon Cho1
1College of Design, North Carolina State University, Raleigh, NC, USA

DOI: https://doi.org/10.26868/25222708.2017.759
Abstract: This paper proposes an approach for building geometry optimization for energy efficiency using parametric design, daylighting and energy simulation, and Genetic Algorithms. This methodology can extensively evaluate building design options and identify design solutions with optimal energy performance in the early design stage. Integrated daylighting and energy simulation is used to evaluate energy efficiency while considering the energy savings through daylighting strategy. A case study building geometry is optimized in six conditions, and different optimization results are found and compared. The relationships between design variables and building performance metrics are also analyzed through linear regression.
Pages: 2591 - 2598
Paper:
BS2017_759