Examining performance and optimization of a cogeneration system comprised with allam cycle and MED-TVC for generating power and drinking water: Case study: Kish island
1Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
2School of Environment, College of Engineering, University of Tehran, Tehran, Iran
3Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
4Department of Mechanical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
J Ther Eng 2021; 7(7): 1704-1718 DOI: 10.18186/thermal.1025944
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Abstract

In this paper, a new thermodynamic cycle for power and fresh water production is presented, which includes MED-TVC desalinations and Allam cycles due to the important influence they have on the electric power industry in controlling and limiting greenhouse emissions. First, the Allam cycle analyzed and the appropriate location for heat-extraction identified to produce the required water vapor for the desalination system. It was determined that the heat site suitable for use in the desalination cycle is the heat from the outlet of the Compressor, which is estimated as 100 MW. The MED-TVC Desalination, one of the most suitable and most economical desalination, is used to combine the Allam cycle and desalination in the Kish district, located in the south of Iran. The proposed cycle is analyzed from the perspective of energy and exergy. The results show, the highest amount of exergy used to generate power in turbine and the amount of produced freshwater increase with increasing the capacity of Turbine. For this purpose genetic algorithm is used in two different scenarios to minimize and maximize the exergy destruction and produced fresh water respectively. The optimization of the system with genetic algorithm led to 18% decrease in total exergy destruction of the cycle in the first scenario and 7% decrease in the second optimization scenario. Furthermore, the efficiency of the cycle in first scenario and second scenario increased by 30% and 13% respectively. In the scenario optimization scheme, the amount of fresh water increased by 22%.