
Inverse Design Methods for the Built Environment
Description
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The book discusses a number of backward and forward methods for inverse design. Backward methods, such as the quasi-reversibility method, the pseudo-reversibility method, and the regularized inverse matrix method, can be used to identify contaminant sources in an enclosed environment. However, these methods cannot be used to inversely design a desired indoor environment. Forward methods, such as the computational-fluid-dynamics (CFD)-based genetic algorithm (GA) method, the CFD-based adjoint method, the CFD-based artificial neural network (ANN) method, and the CFD-based proper orthogonal decomposition (POD) method, show the promise in the inverse design of airflow and heat transfer in an enclosed environment.
The book describes the fundamentals of the methods for beginners, provides exciting design examples for the reader to duplicate, discusses the pros and cons of each design method and points out the knowledge gaps for further development.
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Persons
Zhiqiang Zhai is a Professor of Architectural Engineering at the University of Colorado at Boulder, USA.
Xueyi You is a Professor of Environmental Engineering at Tianjin University, China.
Tengfei Zhang is a Professor of HVAC at Dalian University of Technology, China.
Content
2. CFD-Based Genetic Algorithm Method
3. CFD-based Adjoint Method
4. CFD-Based Artificial Neural Network Method
5. CFD-Based Proper Orthogonal Decomposition Method
6. Enhancement of the Inverse Design Methods
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