ABSTRACT
This chapter presents the basic principles of the proper orthogonal decomposition (POD)-based approach for proper design of indoor environments. It describes the use of the proposed POD method to determine the air-supply speed and temperature in an empty two-dimensional air cavity for which detailed experimental data are available. The chapter discusses the implementation of POD analysis for velocity, temperature, and mean age of air in the evaluated regions. In enclosed environments, POD has been used primarily for rapid prediction of indoor thermo-flow and spatial concentrations of pollutants, optimization of air-supply parameters, and development of controllers for dynamic ventilation. The POD method extracts the coherent structures of the analyzed data, and it is optimal for data modeling and reconstruction. To extract POD modes for inverse design, a small number of original data samples must be provided by full computational-fluid-dynamics simulations as snapshots.
