Sadegh Nikbakht Naserabad - Faculty of Mechanical Engineering, Semnan University, ۳۵۱۳۱-۱۹۱۱۱ Semnan, Iran
roholah rafee - Faculty of Mechanical Engineering, Semnan University, ۳۵۱۳۱-۱۹۱۱۱ Semnan, Iran
Seyfolah Saedodin - Faculty of Mechanical Engineering, Semnan University, ۳۵۱۳۱-۱۹۱۱۱ Semnan, Iran
Pouria Ahmadi - School of Mechanical Engineering, College of Engineering, University of Tehran, ۱۱۱۵۵-۴۵۶۳ Tehran, Iran

In this research, an integrated fossil-solar energy system has been designed, modeled, and optimized to supply the required loads of a six-story educational building in Tehran. The three heating, cooling, and electrical loads of the building are extracted in an hourly dynamic pattern for one year. System modeling was performed using a developed code in MATLAB software, and the genetic algorithm was used for two and three objective optimizations. The results show that with the two objectives of exergy efficiency and pollution, ۶۸ rows of PVT panels and a solar collector with an area of ​​۶.۲۵m۲ should be used. In this case, the maximum use of solar energy to supply ۱۹۴۵.۹MWh heat and ۴۸۴.۵MWh electricity occurred during a year. Also, the highest amount of purchased electricity from the grid is ۵۰۱.۹MWh when the exergy efficiency and cost rate are considered as objective functions. In the three-objective optimization, the best system has an exergy efficiency of ۵۰.۲۱%. The CO۲ emission and total cost rate are ۷.۱/h and ۳۰۱g/kWh, respectively. In this case, about ۵۸۳.۰۶ kWh of the heating load is supplied annually by ۲۰ rows of PVT and a solar collector which has an area of ۵.۲۷m۲. Photovoltaic panels generate ۱۴۴.۱MWh of the system's required electricity. The electricity sold to the grid in this scenario is ۵۵.۰۵MWh. Also, the system has purchased ۲۰۴.۲MWh of electricity from the grid annually. This means that the system should buy electricity from the grid most of the time each year.

(۴E) Analysis, Optimization, Building, Renewable Energy, Dynamic simulation