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Modeling of energy systems in the building sector is one of the most fundamental topics in energy systems engineering. Multi-criteria decision-making methods have also had many applications in this field. This paper models an energy system regarding combined cooling, heating and power (CCHP). In his regard, for a commercial building, the energy system was modeled in six different scenarios. Then, using multi-criteria decision-making methods and considering economic, technical and environmental indicators, scenarios were analyzed and ranked. To obtain the criteria weights, the CRITIC and Shannon's Entropy methods were used, and by introducing a novel weight integration method, the weights were combined to obtain the final weights. Finally, the scenarios were ranked using the EDAS method. The results revealed by changing from scenario S1 to S6, economic indicators decrease and the values of net present cost, levelized cost of electricity and operating cost lower by 38.64%, 36.14% and 40%, respectively. It is also shown that the combination of solar system, grid, boiler and electric chiller as well as solar system, grid, boiler, gas generator and absorption chiller were the most favorable energy systems for the building. • A commercial CCHP system is modeled considering six different system architecture. • A combined decision making framework is utilized in order to rank the scenarios. • A novel weight integration method is proposed to aggregate the initial weights and acquire final weights of criteria. [ABSTRACT FROM AUTHOR]

Taking the advantages of alternative energy sources is currently a trending concept in the field of energy management. Meanwhile, microgrids and hybrid energy systems are of great importance due to their numerous benefits for both consumers and utility. This paper presents technical feasibility study of a hybrid energy system, including renewable and non-renewable resources and energy storage system, for electrification of a Disaster Management Basement located in Tehran, Iran. To simulate the potential power blackout caused by a disaster, the proposed system is simulated and optimized in off-grid mode, using HOMER simulation software. Since the disaster occurrence is unpredictable, while the system is simulated in a whole year, the results are analyzed in two winter and summer cases. Regarding reliability of the system, a sensitivity analysis is carried out. It was found that with diesel prices up to 0.5- 0.6 $/L, the only optimal power system is diesel generator. With prices more than this, wind and solar power sources should be added to the power system. As the main result of the paper, it was found that renewables can act as good backup power systems in cases of shortages in conventional energy resources to ensure high reliability of the system. [ABSTRACT FROM AUTHOR]