SOFC和LNG冷能与再气化一体化太阳能塔式电站新型超临界CO2循环联合循环的多目标优化,International Journal of Energy Research

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SOFC和LNG冷能与再气化一体化太阳能塔式电站新型超临界CO2循环联合循环的多目标优化
International Journal of Energy Research ( IF 4.3 ) Pub Date : 2022-04-26 , DOI: 10.1002/er.7972
Muhammad Hadi Taheri ₁ , Leyla Khani ₂ , Mousa Mohammadpourfard ₂ , Habib Aminfar ₁ , Gülden Gökçen Akkurt ₃

Affiliation

这项研究提出了一种新的太阳能发电系统，该系统是通过具有熔盐循环的太阳能发电塔产生的。为了增加能量损失的消耗，除了封闭的超临界二氧化碳 (sCO2) 布雷顿循环外，液态天然气 (LNG) 开放循环被用作散热器，同时具有在低温下工作的能力的级联有机朗肯循环. LNG 用于固体氧化物燃料电池输入，冷却发电系统和发电后。除了经济和热力学分析外，还控制了火用的破坏，并进行了参数研究，以研究相关因素对系统性能的影响。为了优化系统，通过考虑总成本率和火用效率这两个倒数目标函数，采用了遗传算法。多目标优化结果表明，优化点的总产品成本率为$115.3/h，火用效率为71%。此外，火用分析表明，熔盐换热器和液化天然气换热器具有最大的不可逆率，因此必须将其作为优化的主要优先事项加以考虑。

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Multi-objective optimization of a novel supercritical CO2 cycle-based combined cycle for solar power tower plants integrated with SOFC and LNG cold energy and regasification

This study presents a new system for solar power, which is generated through a solar power tower with a molten salt cycle. To increase the consumption of energy losses, besides the closed supercritical carbon dioxide (sCO2) Brayton cycle, a liquid natural gas (LNG) open-cycle was used as a heat sink alongside a cascade organic Rankine cycle with the capability of working at low temperatures. LNG is implemented for a solid oxide fuel cell input, after cooling down the power generation systems and power generation. Besides the economic and thermodynamic analysis, destruction of exergy has been controlled and parametric studies are performed to investigate the influence of relative factors on the performance of the system. To optimize the system, a genetics algorithm has been employed by considering two reciprocal objective functions of the total cost rate and the exergy efficiency. The results of multi-objective optimization show that the optimized point has a total product cost rate of $115.3/h and an exergy efficiency of 71%. Furthermore, exergy analysis shows that the molten salt heat exchangers and the LNG heat exchangers have the maximum rates of irreversibility and must be taken into consideration as a major priority for optimization.

更新日期：2022-04-26

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