TJ750 : Energy, Exergy and Exergo-economic Analysis and Optimization of Performance of a combined cooling, heating and power system baxsed on small-scale compressed air energy storage
Thesis > Central Library of Shahrood University > Mechanical Engineering > MSc > 2021
Authors:
[Author], [Supervisor], Mohamad Hossein Ahmadi[Advisor]
Abstarct: The increasing reduction of non-renewable energy resources has led to a growing need for developing renewable energy technology as clean and available energy. Nevertheless, the main drawback of renewable energy is the intermittent nature of such energy sources, resulting in serious problems in a large-scale power grid. Hence, energy storage systems have been found useful to overcome this issue. The compressed air storage system (CAES) has gained widespread popularity due to its great advantages. Furthermore, the integration of CAES and combined cooling, heating, and power (CCHP) systems can lead to more efficiency, cost-effectiveness, and more environmental benefits. In this thesis, energy, exergy, and exergoeconomic analysis and multi-objective optimization of a novel CCHP system baxsed on a small-scale compressed air storage were performed. The CCHP system consists of several components, including a gas engine and an ejector refrigeration subsystem. According to the exergoeconomic results, the gas engine has the highest exergy destruction and the total cost. Therefore, both the thermodynamic characteristics and the investment cost of the gas engine have to be improved to reduce the total cost of the system. On the other hand, the turbine had the highest value of exoeconomic factor, highlighting the domination of investment costs. The pressure ratio of compressor, turbine inlet pressure and temperature, and the effectiveness of heat exchangers had major effects on the system performance. baxsed on the results of the sensitivity analysis, increasing these parameters improved both system efficiency and cost. Multi-objective optimization was performed using the NSGA-II evolutionary algorithm to determine the best trade-off between the total product unit cost and the total exergy efficiency. The optimum total product unit cost and the total exergy efficiency were calculated 12.801 cent/kWh and 59.06%, respectively. Therefore, the multi-objective optimization showed considerable potential for improvement so that the total product unit cost reduced by 15.3% and exergy efficiency increased by 5.7%.
Keywords:
#Exergy #Exergoeconomic #Combined Cooling #Heating and Power #Compressed air energy storage #Multi-objective optimization Keeping place: Central Library of Shahrood University
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