Optimal specification of target temperature points for inverse design of an indoor thermal environment

摘要: Abstract Inverse models based on computational fluid dynamics (CFD) are able to determine the required boundary wall convective heat fluxes in enclosed environments by performing a regularized inversion governing matrix. The matrix describes cause-effect relationship between and exhibited temperatures. Some target temperatures must be specified as known inputs infer unknown thermal conditions. However, current temperature specification is determined intuition or experience rather than systematic derivation. This investigation proposes evaluate of points using eigenvalue decomposition A connection was established eigenvalues condition number that posedness problem. effects locations inverse solution were analyzed two-dimensional ventilation enclosure. results showed proposed model provides accurate solutions with appropriately points. Locating downstream flows sweep walls can help reduce constituted smaller responds better design targets. There no need adopt more boundaries. In some circumstances, if boundaries provided, it recommended select correspond far from zero.