How can complex sustainability computations be streamlined and efficient? That’s what Youngjin Lee and Bomin Kim, two designers at Sasaki sought out to answer with recent research modeling high-efficiency facades. Last month, Kim [pictured above] presented the results of their research at the Conference on the Sustainable Built Environment (SBE) in Seoul, South Korea. Their paper, “Genetic Algorithms for Facades Balancing Energy & Occupant Experience,” was also selected as Best Technical Paper by SBE.
Their research aimed to reduce the amount of time and information lost from model sharing while optimizing multiple sustainability variables. High-performance architecture can be a costly and complicated endeavor when attempting to marry elements with a client's spatial values/needs. Designers use analytical tools that include environmental analysis but these too often focus on single parameters. The constraints of these tools make it more difficult to satisfy multiple considerations in real-world settings. Lee and Kim developed a workflow that enables the incorporation of multiple variables while also protecting against data loss across platforms.
“Balancing light and glare reduction with the desire to provide maximum views of the outside is a common dilemma for designers,” says Kim. “By balancing two contradictory variables as constraints, we’re trying to find a solution that satisfies the building occupant’s experiential qualities as well as the thermal comfort which in turn reduces energy loads. Our workflow finds ways to quantify and integrate a more holistic approach to sustainability in Sasaki’s built work.”
Congratulations to Kim and Lee on their successful research!