شقايق بلمچي

Today, the widespread use of fossil fuels has led to their rapid depletion, while these fuels produce large amounts of air pollutants and have environmental impacts. Therefore, the desire to use renewable energy sources is of particular importance due to several advantages such as lower price, availability, less pollution and most importantly, sustainable economic development. Hydrogen is a carbon-free energy carrier that is also used as a chemical in various industries. In this study, the thermodynamic analysis and optimization based on artificial neural networks of a multiple production system with hydrogen production capability using the copper-chlorine method have been investigated. The artificial neural network has been used to model the hydrogen industrial unit, so the process of this thesis has been classified into two parts: optimization with artificial neural network and thermodynamic analysis of the hydrogen production unit using MATLAB software. Artificial neural network and genetic algorithm are two modern methods created using computer science and based on the creation of living organisms, the first of which is used for modeling complex systems and the second for optimization. Also, sensitivity analysis has been used to eva‎luate the inputs that have the greatest impact on the main system outputs. The system of the present study has been eva‎luated and investigated based on energy, exergy, economic and environmental perspectives. The system performance has been investigated in stable conditions and the exergy efficiency of the system components and the cost rate have been shown. The results of the optimization of the copper-chlorine cycle for hydrogen production showed that the amount of fresh water produced is 324 kg/h, the amount of hydrogen produced is 555 kg/h, the production power is 30 MW, and the exergy efficiency is 25%. The exergy efficiency of the present system and the production power have increased compared to previous studies, which were 15% and 11.5 MW, respectively, and the amount of hydrogen produced has improved by about 54%. For the hydrogen produced by the system in the amount of 555 kg/h, the heat load consumed for hydrochloric acid is 105277 kJ/kmole of hydrogen, the amount of oxygen is 110522 kJ/kmole of hydrogen, and for copper it is 140455 kJ/kmole of hydrogen. Also, in the drying stage, it is 18118 kJ/kmole of hydrogen and the heat load of hydrogen is -55486 kJ/kmole of hydrogen.

توليد هيدروژن , مس-كلر , الكتروشيميايي , شبكه هاي عصبي مصنوعي , سيستم توليد چندگانه

Hydrogen production , Copper-Chlorine , Electrochemical , Artificial Neural Networks , Multiple Production System

shaghayegh balamchi

mahdi moghimi