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Inverse Design Methods for the Built Environment

By: Qingyan Chen (Author) , Tengfei Zhang (Author) , Xueyi You (Author) , Zhiqiang Zhai (Author)

Manufacture on Demand

Ksh 38,000.00

Format: Hardback or Cased Book

ISBN-10: 1138204986

ISBN-13: 9781138204980

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 11th, 2017

Publication Status: Active

Product extent: 264 Pages

Weight: 662.00 grams

Dimensions (height x width x thickness): 20.80 x 25.30 x 1.80 cms

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This book, from one of the pioneers of inverse design applications in the built environment, introduces the basic principles of inverse design and the specific techniques which can be applied to built environment systems. Chen’s inverse design concept uses the desired enclosed environment as the design objective and inversely determines the systems required to achieve the objective. 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.

The inverse design approach is new to the built environment research and design community, though it has been used in other industries including automobile and airplane design. This book, from some of the pioneers of inverse design applications in the built environment, introduces the basic principles of inverse design and the specific techniques that can be applied to built environment systems. The authors'' inverse design concept uses the desired enclosed environment as the design objective and inversely determines the systems required to achieve the objective.

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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