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thesis, a comprehensive analysis is conducted to model, analyze and optimize some novel multigeneration energy systems based on both conventional and renewable energy sources. To enhance the understanding of the system performance, exergy analysis as a potential tool is conducted. Exergy analysis can investigate the areas of irreversibilities and recommend ways to improve the overall efficiency of the system. The comprehensive thermodynamic modeling of each system is conducted by the combination of some software in order to fully model the system. Matlab software is used as the main software to simulate all parts of the multigeneration energy system. Since Matlab software does not have the properties of refrigerant, water and flue gases, Engineering Equation Solver (EES) software and Refprop software are also used to determine the properties of the refrigerant and coolant at each stage of the system. This software is linked to Matlab software to finalize the modeling and analysis section. The advantages of using Matlab software is the ability of conducting an evolutionary algorithm based multi objective optimization to find the best optimal design parameters of the system. To conduct an optimization, various objective functions including exergy efficiency, total cost of the plant and greenhouse gas emission are considered with respect to certain proper constraints. It must be noted that genetic algorithm is used as the optimization method, which is developed in Matlab software based on fast and elitist non-dominated sorting genetic algorithm (NSGA-II) [14]. To have a comprehensive system performance analysis, a parametric study is carried out to see the variation of the system performance. The importance of parametric study is to predict a performance assessment of the studied system in order to find the proper design parameters for the optimization study. Although parametric study is important, it cannot give the best optimal design parameters of the system. Those parameters from parametric study that have significant effect on exergy efficiency, total cost rate and environmental impacts are selected as decision variable. Also, a sensitivity analysis which is an important part of each optimization problem is performed. In this case the effect of each decision variables on the variation of the objective functions is discussed in details. 2.2 Objectives The originality of this PhD thesis is to comprehensively model, analyze and optimization of three novel multigeneration energy systems which have not been previously considered in the literature. in addition, exergy, exergoeconomic and environmental impact assessment are 33PDF Image | Energy Systems for Multigeneration Purposes
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