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conducted to enhance the performance analysis of the system. Another important originality and innovativeness of this thesis is the use of multi objective evolutionary based optimization to optimize three different sets of objective functions, exergy efficiency of systems (to be maximized), total cost of the system including cost of environmental impacts (to be minimized) and greenhouse gas emission (to be minimized) with respect to some proper constraints. Moreover, the Pareto frontier solution for these multigeneration systems is obtained via an evolutionary algorithm based multi-objective optimization. In the direction of this PhD thesis, the model is developed and the thesis is prepared. This PhD research thesis consists of some main objectives as follows: a) To develop a mathematical model for our three novel multigeneration energy systems: Comprehensive thermodynamic modeling of a multigeneration system based on gas turbine prime move, double pressure heat recovery steam generator, a single effect absorption chiller, an ejector refrigeration system, a domestic water heater and a PEM electrolyzer for hydrogen production. Thermodynamic modeling of a biomass based multigeneration system with double effect absorption chiller, an organic Rankine cycle, a PEM electrolyzer for hydrogen production, a domestic water heater and a reverse osmosis desalination unit to produce fresh water. Thermodynamic modeling of a novel multigeneration system based on an ocean thermal energy conversion (OTEC) technology assisted with PV/T solar collector and absorption chiller to provide cooling load and a reverse osmosis desalination unit to produce fresh water. b) To perform a model validation for each part of multigeneration system to ensure the correctness of developed simulation code. Single effect absorption chiller model validation with some references form literature. Double pressure heat recovery steam generator model validation. Double effect absorption chiller model validation. PEM PEM electrolyzer validation with experimental data from literature, 34PDF Image | Energy Systems for Multigeneration Purposes
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