EvoMass + GH_Wind An agile wind-driven building massing design optimization framework Yuhui Shen 1 , Likai Wang 2 , Ran Zhang 3 , Ziyu Tong 4 , Guohua Ji 5 1,2,4,5 Nanjing University 3 Southeast University 1 mg1936020@smail.nju.edu.cn 2,3 {wang.likai|ran.zhang.liverpool}@outlook. com 4,5 {tzy|jgh}@nju.edu.cn The complex interactive relationship between wind flow and building design poses a great challenge in architectural design. Recent research has been conducted to combine Computational Fluid Dynamics (CFD) and computational design optimization to solve the problem. However, due to the time-consuming simulation process and the assertion-oriented computational optimization application, such CFD-based design optimization frameworks are not easy to integrate with architects' early-stage design exploration. To address these issues, this paper proposes an agile wind-driven building massing design optimization framework incorporating EvoMass and GH_Wind in the Rhino-Grasshopper environment. EvoMass is an integrated evolutionary building massing design tool, and GH_Wind is a simulation tool embedded with a Fast Fluid Dynamics (FFD) solver. Combining these two tools allows for fast wind-driven design optimization, thereby enabling architects to apply it to early-stage design exploration. To demonstrate its efficacy, a case study is presented to illustrate how the proposed design optimization framework can provide architects with useful design information and, thereby, facilitate more performance-informed design for early-stage architectural design. Keywords: building massing design, performance-based design, design exploration, wind-driven design, Fast Fluid Dynamics, design optimization INTRODUCTION Performance-based design optimization is becom- ing a popular application of computational design in architecture, which combines parametric model- ing, building performance simulation, and compu- tational optimization. Recent research has demon- strated that performance-based design optimiza- tion can be an eļ¬cient and powerful tool assist- ing architects in build massing design and provide pertinent performance-oriented information useful to future design and construction. While perfor- mance factors such as daylighting, solar irradiation, and energy consumption have been widely inves- tigated in relevant research (Negendahl & Nielsen, 2015; Likai Wang, Janssen, Chen, Tong, & Ji, 2019; Yi & Malkawi, 2012), studies focused on wind-related Performance based design - Volume 1 - eCAADe 39 | 477