Proposal of Design Approach for Determining the Optimal Arrangement of Partition Walls in a Station Building to Reduce Wind Velocity in Winter and Promote Heat Removal in Summer

Abstract

The adjoint variable method (AVM) is a method for solving inverse problems, and is used for sensitivity analysis. In this study, the effective usage of inverse analysis based on AVM is considered for the purpose of its use as an approach to design. This paper proposes a method of inverse analysis to determine the optimal arrangement of partition walls in a station building to prevent inflow of wind in winter and to promote heat removal in summer. The analysis was applied to the design of Nobeoka station building, part of a redevelopment project being handled by Office of Kumiko Inui. Usage of inverse analysis based on AVM is proposed as a design approach for determining the optimal placement of partition walls in a semi-outdoor space. In the analysis, surface panels with an aperture ratio property are installed at candidate positions for the partition walls. Forward analysis (CFD) and inverse analysis (AVM) are alternated to compute the optimal aperture ratio. From the resulting aperture ratio, it was determined whether a partition walls was necessary at the candidate position.

Microclimate house

“…The sensitivity analysis is a non‐parametric analysis that directly calculates, with the adjoint variable method, proper parameters in order to achieve a goal. Opening sensitivity of the openings is determined to achieve an average wind velocity of 0.3 m/s against the volume of interior space (Figure ).…”