Optimization of air supply location, size, and parameters in enclosed environments using a computational fluid dynamics-based adjoint method

Wei Liu, Mingang Jin, Chun Chen, Qingyan Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

25 Citations (Scopus)

Abstract

Optimal design of an indoor environment based on specific design objectives requires a determination of thermo-fluid control methods. The control methods include the air supply location, size, and parameters. This study used a computational fluid dynamics- (CFD) based adjoint method to identify the optimal air supply location, size, and parameters. Through defining the air distribution in a certain area (design domain) as a design objective in a two-dimensional, ventilated cavity, the adjoint method can identify the air supply location, size, and parameters. However, the air supply location, size, and parameters were not unique, which implied multiple solutions. By using any of the air supply location, size, and parameters identified as boundary conditions for forward CFD simulations, the computed air distribution in the design domain was the same as that used as a design objective. Thus, the computing costs did not depend on the number of design variables.

Original languageEnglish
Pages (from-to)149-161
Number of pages13
JournalJournal of Building Performance Simulation
Volume9
Issue number2
DOIs
Publication statusPublished - 3 Mar 2016

Keywords

  • adjoint method
  • inverse design
  • shape optimization

ASJC Scopus subject areas

  • Architecture
  • Building and Construction
  • Modelling and Simulation
  • Computer Science Applications

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