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首页> 外文期刊>Nuclear engineering and technology >Exergetic design and analysis of a nuclear SMR reactor tetrageneration (combined water, heat, power, and chemicals) with designed PCM energy storage and a CO 2 gas turbine inner cycle
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Exergetic design and analysis of a nuclear SMR reactor tetrageneration (combined water, heat, power, and chemicals) with designed PCM energy storage and a CO 2 gas turbine inner cycle

机译:核心SMR反应器Tetrageneration(综合水,热,电力和化学品)的exergetic设计和分析,设计PCM能量存储和CO 2 燃气轮机内循环

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The tendency to renewables is one of the consequences of changing attitudes towards energy issues. As a result, solar energy, which is the leader among renewable energies based on availability and potential, plays a crucial role in full filing global needs. Significant problems with the solar thermal power plants (STPP) are the operation time, which is limited by daylight and is approximately half of the power plants with fossil fuels, and the capital cost. Exergy analysis survey of STPP hybrid with PCM storage carried out using Engineering Equation Solver (EES) program with genetic algorithm (GA) for three different scenarios, based on eight decision variables, which led us to decrease final product cost (electricity) in optimized scenario up to 30% compare to base case scenario from 28.99 $/kWh to 20.27 $/kWh for the case study. Also, in the optimal third scenario of this plant, the inner carbon dioxide gas cycle produces 1200?kW power with a thermal efficiency of 59% and also 1000 m3/h water with an exergy efficiency of 23.4% and 79.70?kg/h with an overall exergy efficiency of 34% is produced in the tetrageneration plant.
机译:可再生能源的趋势是改变对能源问题的态度的后果之一。因此,太阳能是基于可用性和潜力的可再生能源中的领导者,在全球需求完全归档中起着至关重要的作用。太阳能热电厂(STPP)的显着问题是经常运行时间,受日光的限制,大约是化石燃料的发电厂的一半,以及资本成本。使用工程方程求解器(eES)程序与遗传算法(GA)对三种不同场景进行遗传算法(GA)进行STPP杂交机的Deervery分析调查,这是基于八种决策变量,从而降低了优化方案中的最终产品成本(电力)与案例研究的28.99美元/ kWh至20.27美元/千瓦时,高达30%的比较。此外,在该植物的最佳第三场景中,内二氧化碳气体循环产生1200?KW功率,其热效率为59%,也具有1000m 3 / h水,具有23.4%和79.70?kg / h在四元植物中产生34%的总体漏洞效率。

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