Transactions on Machine Intelligence 2821-1693 5 3 2022 09 01 Performance Analysis and Energy Conversion of Control’s Solar-Geothermal Combined Cooling, Heating and Power (CCHP) Systems with Hydrogen Production 196 209 235943 10.47176/TMI.2022.196 EN M.A. Allahrabbi Shirazi Department of Energy and Aerospace Engineering, Shiraz University, Shiraz, Iran GH. Yeganeh Fard Department of Mechanical Engineering, Alzahra University, Tehran ،Iran N. Zadsar Department of Mechanical Engineering, Alzahra University, Tehran ،Iran Journal Article 2022 05 12 This study employs the Response Surface Method (RSM) and transient analysis to optimize the design of a solar-assisted-geothermal combined cooling, heating, and power (SG-CCHP) system, integrated with hydrogen storage, for residential applications. The optimization focuses on both energy efficiency and economic performance. The SG-CCHP system comprises two steam turbines (STs), photovoltaic/thermal (PV/T) collectors, a fuel cell circuit, an absorption chiller, a heat pump (HP), and energy storage systems, including battery cells and a hydrogen storage unit. System performance is evaluated through transient analysis using the TRNSYS modeling tool. Key design parameters are identified, and the Design of Experiments (DOE) method is utilized to determine their optimal configuration. Multiple simulation scenarios are generated using DOE, and RSM is applied to analyze the results. Once the optimal SG-CCHP configuration is identified, the transient interactions between control design factors and techno-economic metrics are examined. The findings reveal that the optimized system achieves significant reductions in annual life cycle costs, thermal comfort levels, total energy consumption, and natural gas usage by the auxiliary boiler. Furthermore, the integration of battery and hydrogen storage components enhances system efficiency, with the electrolyzer, fuel cell, PV/T thermal, and electrical systems reaching annual efficiencies of 90%, 60%, 23%, and 18%, respectively. These results demonstrate the potential of the optimized SG-CCHP system to improve both energy performance and economic viability in residential settings. https://www.tmachineintelligence.ir/article_235943_8c51c84090a0e6033ca7fc0314401dea.pdf