Seyed Babak Taheri - Masters student, Department of Mechanical Engineering, Islamic Azad University of Karaj, Karaj, Iran
Kambiz Rezapour, - Assistant Professor, Department of Mechanical Engineering, Islamic Azad University of Karaj, Karaj, Iran
Rouzbeh esmaeelpour. - Masters student, Department of Mechanical Engineering, Islamic Azad University of Karaj, Karaj, Iran

Today, multi-objective combined systems with simultaneous combined of heating, cooling, electricity,hydrogen, hot water, and freshwater from a renewable energy source, have received much attention. The purpose of this research is to investigate a multigeneration system using solar and wind renewable energy. For this purpose, a sample system is designed and investigated from the perspective of energy analysis and exergy. Have been considered Exergy destruction factors, an increase of exergy efficiency,an increase of energy efficiency, reduction of equipment purchase cost, reduction of production cost rate and finally optimization of a multi-objective function system. First, the system is mathematically modeled, and then the problem model is obtained using coding in EES software. The investigation system has been investigated for the climatic conditions of Kerman city, for this purpose, weather information, wind speed, and solar radiation for this city have been extracted from the meteorological site for ۲۰۱۸. Five decision parameters were selected including solar cycle mass flow, isotropic pump efficiency, isotropic turbine efficiency, Rankin cycle pressure ratio, and boiler output temperature, and was investigated the effect of each on the energy and exergy efficiency of the system. Finally, were determined the system design constraints, and the system was optimized using the multi-objective particle swarm optimization algorithm (MOPSO). For this purpose, were defined two objective functions. Is selected the first objective function, or cost function, includes the primary capital costs; and the second objective function, or the exergy efficiency function. The objective is the minimizationof the first objective function and maximization of the second objective function. After optimization, was presented a set of answers, from which one answer was selected as the best response. It was shown that the maximum exergy efficiency for the optimal response is ۳۲.۷% and the lowest cost function, in this case, is $ ۸.۴۵۶ per hour. In this case, the optimum value for the isotropic turbine efficiency is equal to ۰.۸۱, the isotropic pump efficiency is equal to ۰.۷۷, the Rankin cycle pressure ratio is equal to ۳۹.۸۵, the solar cycle mass flow rate is equal to ۰.۸۷ kg / s and the boiler output temperature is equal to ۱۱۱.۵۲ ° C.

۴E analysis, renewable energy, wind turbine, multigeneration, solar energy, hydrogen production