Abstract
In the present study, two renewable energy based tri-generation systems are considered. Optimization has been done using genetic algorithm in order to optimize the objective function, which is the maximization of overall exergy efficiency of system. Biomass and solar are the main sources of energy for both systems, respectively. Energy and exergy efficiencies are defined with or without considering tri-generation and the effect of tri-generation over single generation has been analyzed. The optimum value of objective function, which is the exergy efficiency of the system, is found to be equal to 36.18 % for biomass operated system and 70.68 % for solar operated system. Further, a parametric study has been conducted in order to observe the effect of variation in different parameters on the efficiency of the system.
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Malik, M., Ali, M., Dincer, I., Rahnamayan, S. (2014). Exergetic Optimization of Two Renewable Energy Based Tri-generation Systems Using Genetic Algorithm. In: Dincer, I., Midilli, A., Kucuk, H. (eds) Progress in Sustainable Energy Technologies: Generating Renewable Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-07896-0_5
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DOI: https://doi.org/10.1007/978-3-319-07896-0_5
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