4E analysis and multi-objective optimization of a novel multi-generating cycle based on waste heat recovery from solid oxide fuel cell fed by biomass

IF 4.2 Q2 ENERGY & FUELS Renewable Energy Focus Pub Date : 2024-08-03 DOI:10.1016/j.ref.2024.100610
Arian Shabruhi Mishamandani , Amir Qatarani Nejad , Najmeh Shabani , Gholamreza ahmadi
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Abstract

The present study optimizes a novel developed cycle including solid oxide fuel cell (SOFC) fed by synthesis gas produced from biomass as well as gas turbine (GT), supercritical carbon dioxide cycle (SCO2), transcritical carbon dioxide cycle (TCO2), Organic Rankine Cycle (ORC), thermoelectric generator (TEG), and reverse osmosis (RO)- based desalination. Energy, exergy, exergoeconomic and exergoenvironmental analyses on the developed cycle were investigated. Multi-objective optimization was carried out using of Genetic algorithm using generated power and exergy destruction as objective functions. Sankey diagram data indicate that afterburner holds the highest portion of the total exergy destruction 46.5% (692.24 kW), followed by SOFC which is 20.48% (304.51 kW). Moreover, optimization results showed that the total net power, first and second laws of thermodynamic efficiencies increased by 2.6%, 0.96% and 0.83%, respectively, while exergy destruction decreased by 1%. Furthermore, such a power increase (18.53 kW) using the freshwater produced by RO leads to daily production of 17040 liters of drinking water. According to the exergoeconomic analysis, the minimum flow value pertains to GT at a value of 0.0119 $/GJ, while the TCO2 turbine has the highest value which is 0.2867 $/GJ. The system product cost rate and exergy destruction cost rate reached 27.0353 $/h, and 10.7012 $/h, respectively. In the case of the exergoenvironmental one, the maximum environmental impact is related to the SCO2 turbine 0.0212 Pts/GJ, while SOFC has the lowest (0.0002 Pts/GJ). The system product environmental impact and exergy destruction were achieved at optimum values of 2.7503 $/h, and 4.1576 ×10-7 $/h, respectively.

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基于生物质固体氧化物燃料电池余热回收的新型多发电循环的 4E 分析和多目标优化
本研究优化了一种新开发的循环,包括以生物质合成气为燃料的固体氧化物燃料电池(SOFC)、燃气轮机(GT)、超临界二氧化碳循环(SCO2)、跨临界二氧化碳循环(TCO2)、有机郎肯循环(ORC)、热电发电机(TEG)和基于反渗透(RO)的海水淡化。对所开发的循环进行了能源、放能、能源经济和能源环境分析。使用遗传算法进行了多目标优化,将发电量和放能破坏作为目标函数。桑基图数据表明,后燃烧器在总能量损耗中所占比例最高,为 46.5%(692.24 千瓦),其次是 SOFC,为 20.48%(304.51 千瓦)。此外,优化结果表明,总净功率、热力学第一定律和第二定律效率分别增加了 2.6%、0.96% 和 0.83%,而放能破坏减少了 1%。此外,利用反渗透生产的淡水增加的功率(18.53 千瓦)每天可生产 17040 升饮用水。根据外经济分析,GT 流量值最低,为 0.0119 美元/GJ,而 TCO2 涡轮机的流量值最高,为 0.2867 美元/GJ。系统产品成本率和放能破坏成本率分别达到 27.0353 美元/小时和 10.7012 美元/小时。在外部环境影响方面,SCO2 汽轮机的环境影响最大,为 0.0212 Pts/GJ,而 SOFC 的环境影响最小(0.0002 Pts/GJ)。系统产品的环境影响和放能破坏的最佳值分别为 2.7503 美元/小时和 4.1576 ×10-7 美元/小时。
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来源期刊
Renewable Energy Focus
Renewable Energy Focus Renewable Energy, Sustainability and the Environment
CiteScore
7.10
自引率
8.30%
发文量
0
审稿时长
48 days
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