张腾飞

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:美国普渡大学

学位:博士

所在单位:土木工程系

学科:供热、供燃气、通风及空调工程

办公地点:综合实验四号楼425-1室

联系方式:0411-84706279

电子邮箱:tzhang@dlut.edu.cn

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State-of-the-art methods for inverse design of an enclosed environment

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论文类型:期刊论文

发表时间:2015-09-01

发表刊物:BUILDING AND ENVIRONMENT

收录刊物:SCIE、EI、PubMed

卷号:91

期号:,SI

页面范围:91-100

ISSN号:0360-1323

关键字:Enclosed environment; Inverse design; Backward method; Forward method

摘要:The conventional design of enclosed environments uses a trial-and-error approach that is time consuming and may not meet the design objective. Inverse design concept uses the desired enclosed environment as the design objective and inversely determines the systems required to achieve the objective. This paper discusses a number of backward and forward methods for inverse design. Backward methods, such as the quasi-reversibility method, pseudo-reversibility method, and 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 CFD-based adjoint method, CFD-based genetic algorithm method, and proper orthogonal decomposition method, show the promise in the inverse design of airflow and heat transfer in an enclosed environment. The CFD-based adjoint method is accurate and can handle many design parameters without increasing computing costs, but the method may find a locally optimal design that could meet the design objective with constrains. The CFD-based genetic algorithm method, on the other hand, can provide the global optimal design that can meet the design objective without constraints, but the computing cost can increase dramatically with the number of design parameters. The proper orthogonal decomposition method is a reduced-order method that can significantly lower computing costs, but at the expense of reduced accuracy. This paper also discusses the possibility to reduce the computing costs of CFD-based design methods. (C) 2015 Elsevier Ltd. All rights reserved.