Abstarct: What is quite evident in today's world is the increasing use of energy resources. The consequence of this indiscriminate use is the depletion of fossil fuel resources and the emergence of environmental problems, so it is important to use techniques that reduce the emission of greenhouse gases and their negative effects. Simultaneous heating, cooling and power production systems are a suitable example for optimal use of fuel, which enable significant recovery of waste thermal energy. According to studies, commercial centers and hotels are one of the main factors of energy consumption in a significant amount. For this purpose, in this research, a CCHP-PVT simultaneous production system connected to the network, which is located in a hotel in Mashhad city, has been designed and modeled. First, the hotel expenses were collected according to the real data of a hotel, which includes electric, thermal, cooling and spa consumption. CCHP and PVT sources have been used to supply the required thermal energy. The maximum electrical consumption in summer is about 110 kW, the maximum thermal power associated with the spa is about 220 kW, and in summer, the maximum cooling load in summer is about 330 kW, and the maximum heating load in winter is about 350 kW. Also, according to the maximum demand of the total heating energy that occurs in the summer season and is equal to 610 kW, considering the energy losses, a gas generator with a nominal power of 700 kW was selected. According to the limitations of the rooftop space including (rooftop, elevator, etc.), the maximum surface area of the solar panel that can be installed was 500 square meters. According to the research, PVT panels have been used instead of PV. Because by reducing the surface temperature of the panel, its efficiency is increased and the recovered spa is used to preheat the consumed spa. To meet the needs of the entire system, modeling of different parts in EES software, MATLAB has been done. The results are evaluated in three parts. The first part includes the limits of the thermal photovoltaic panel area and determining the generator capacity baxsed on the maximum heat required by the hotel. The second part of the sensitivity analysis is done on the parameters that have the greatest impact on the system costs. In the third part, optimization with particle swarm algorithm has been done to select the best points using the Electra method, and the most optimal option is to select the generating power of 423 kW and the required area of 477 square meters. Also, in this case, the efficiency of the whole system is 61% and the current value is 12833 dollars.