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Indexed by:会议论文

Date of Publication:2014-07-07

Included Journals:EI、Scopus

Page Number:221-228

Abstract:Current inverse models to determine the required thermal boundary conditions must use an iterative trial-and-error procedure, which is notably time-consuming. This study proposes an inverse method based on Tikhonov regularization and least-squares optimization to determine the wall boundary convective heat fluxes in indoor environments. The contribution ratio of indoor climate (CRI) is applied to describe the cause-effect relationship between the wall convective heat fluxes and the exhibited temperatures. With the input of six temperatures in a two-dimensional enclosure, the proposed method was applied to inversely infer the wall convective heat fluxes on all walls. The results show that the developed method is able to efficiently provide the wall convective heat fluxes that are consistent with those by the forward modeling. The prerequisites to implement the method are a fixed flow field and the discrete expected target temperatures at certain points in space.