"Optimisation of a renewable cooling and heating system using an intege" by Haoshan Ren, Zhenjun Ma et al.
Abstract A new simulation-based strategy for optimal design of a renewable cooling and heating system that includes a desiccant wheel, a photovoltaic/thermal-solar air collector (PV/T-SAC) and a thermal storage unit using phase change material (PCM) is presented in this study. The strategy is formulated by integrating an integer-based genetic algorithm (IGA) with the response surface method (RSM), in order to tackle the system nonlinearity with manageable computational costs. The PV/T-SAC is used to provide thermal energy for desiccant wheel regeneration and space heating in cooling and heati...