چكيده به لاتين
Freshwater and energy are the most important issues in our world with its growing population. Thus, more efficient and less environmental damaging approaches are studied and investigated by researchers to achieve the best approaches. In this thesis, we have studied a novel combination of hydrogen gas production system using PEM electrolyzer, water desalination system using Reverse Osmosis (RO) method, liquid gas to natural gas conversion system, solar concentration system, and Stirling engine. Also, we have thermodynamically simulated them using MATLAB. Aims of this study are the calculation and investigation of energy efficiency, the rate of exergy destruction of equipment, the total exergy efficiency, and the rate of the total cost of maintenance. Finally, MATLAB Genetic Algorithm Toolbox is used to optimize a multi-objective problem to maximize exergy efficiency and to minimize total cost rate, while the solar radiation rate, the liquid gas flow rate, and the temperature difference of the heat exchanger in LNG cycle are the variables of the optimization. In the studied system, natural gas turbine of LNG cycle and Stirling engine are two main components of power generation process, which both of them can produce 8.18 MW of power. About 12% of the power are consumed in RO system to produce 720 m3/h of freshwater and 88% of the power are spent in PEM system to generate 135.5 kg/h of hydrogen gas. In order to consider the effect of changes in weather and equipment efficiency, the sensitivity analysis is done on the corresponding system, which showed the change of solar radiation rate have the most influence on the both objective functions.
