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Optimal working conditions of various city gate stations for power and hydrogen production based on energy and eco-exergy analysis
Kowsari, S ; Sharif University of Technology | 2020
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- Type of Document: Article
- DOI: 10.1016/j.ijhydene.2020.05.110
- Publisher: Elsevier Ltd , 2020
- Abstract:
- In this study, the feasibility of producing power and hydrogen from the waste heat of different City Gate Stations (CGSs) is investigated to select the optimal working conditions. A thermodynamic model is developed for a proposed system combined of the CGS station, the Rankin cycle and the extended hydrogen production cycle. Initially, six CGS stations are simulated based on energy, exergy-economic and environmental analysis and then a comparative study is conducted between different stations. The results of numerical modeling show that the Mashhad-old station with 5315 kW and 31.062 ton/year has the highest amount of power and hydrogen production among other stations, respectively. It is also observed that, it is more economic to increase the input gas pressure in order to increase the production rate. In addition, optimal working conditions are determined based on the two important optimization factors of the hydrogen production rate and SUCP (sum unit cost of the product) using genetic algorithm optimization technique. The results of multi-objective optimization indicate that Gonbad, Gorgan and Mashhad-old stations, where the inlet gas mass flow rate is in the range of 8–9 kg/s, are the optimum stations. © 2020 Hydrogen Energy Publications LLC
- Keywords:
- 4E analysis ; City gate station (CGS) ; Genetic algorithm (GA) ; Multi-objective optimization ; Proton exchange membrane (PEM) ; Rankine cycle (RC) ; Exergy ; Waste heat ; Comparative studies ; Environmental analysis ; Genetic algorithm optimizations ; Hydrogen production rate ; Optimization factors ; Production rates ; Rankin cycles ; Thermodynamic model ; Hydrogen production
- Source: International Journal of Hydrogen Energy ; Volume 45, Issue 43 , September , 2020 , Pages 22513-22533
- URL: https://www.sciencedirect.com/science/article/abs/pii/S0360319920318917