Buildings are responsible for 41% of the primary energy use in the United States. Due to the negative environmental impact from fossil fuel, people are trying to use renewable energy resources to provide energy to the buildings. Integrated solar absorption cooling and heating (SACH) technology can be one of the promising solutions to this issue. Due to the nature of solar energy, integrated SACH has many drawbacks, such as discontinuity of generation, thus backup system driven by fossil fuel should be included to the system configuration as well. Therefore, optimization is highly required during the design stage. This paper presents the development of a method to optimize an integrated SACH system. Regression analysis is used to identify the relationship between the life cycle primary energy savings (PES) and the system factors according to the data provided by experiments. In order to obtain an accurate model to estimate the problem using small number of experimental trials, the method of central composite design (CCD) from design of experiments (DE) is used as a key technique. The experimental trials are conducted in TRaNsient SYstems Simulation (TRNSYS). Finally, the optimization problem is formulated and solved by including the model as the objective function and the physical constraints of the system factors. A case study was conducted to apply this optimization method to the design of an integrated SACH system installed in a medium-sized office building in Los Angeles.

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