In this paper, a plant consisting of a solid oxide fuel cell and solid oxide electrolysis cell is proposed for power provision based on solar energy. In this system, water enters the solid oxide electrolysis cell and is split into H₂ and O₂ through the utilization of the generated power by the photovoltaic panels. The produced hydrogen is stored and sent to the solid oxide fuel cell for clean and consistent power generation. The required hydrogen of the fuel cell is measured for 24 h and the electrolysis and photovoltaic units are designed in such a way to satisfy the demand of the fuel cell while the surplus hydrogen is considered for sale. A sensitivity analysis is also conducted on the system to assess the impact of vital parameters on output power, system efficiency, total product cost and total cost rate, total exergy destruction, and payback period. Furthermore, multi-criteria optimization is applied to the system utilizing various optimization algorithms. The outcomes demonstrate that the maximum amount of exergy destruction occurs in the photovoltaic system. The results of the parametric evaluation illustrate that the payback period of the plant can reduce to 7 years when surplus hydrogen is 4 times higher than the required H₂ of the fuel cell. Furthermore, higher current densities of the SOEC system can reduce the efficiencies while increasing the payback period, so lower current densities would be more suitable. Also, there would be a local optimum point in terms of total product cost and net power outlet with the current density of the SOFC system. The optimization findings indicate that PESA-II is the most suitable algorithm for this particular system as it results in more suitable optimum points that are closer to the ideal point. In addition, at the final optimum solution point concluded by the LINMAP method, the exergy efficiency of the system would be 62% and the total cost rate is 1.297 $/h.

在本文中，提出了一种由固体氧化物燃料电池和固体氧化物电解电池组成的装置，用于基于太阳能的供电。在该系统中，水进入固体氧化物电解池，并分解为H ₂和O ₂通过利用光伏面板产生的电能。所产生的氢气将被存储并发送到固体氧化物燃料电池，以进行清洁，稳定的发电。在24小时内测量燃料电池所需的氢，并设计电解和光伏装置以满足燃料电池的需求，同时考虑出售多余的氢。还对系统进行了敏感性分析，以评估重要参数对输出功率，系统效率，总产品成本和总成本率，总火用破坏和投资回收期的影响。此外，利用各种优化算法将多准则优化应用于系统。结果表明，在光伏系统中发生了最大的火用破坏。₂个燃料电池。此外，SOEC系统的较高电流密度可能会降低效率，同时又会增加投资回收期，因此，较低的电流密度将更为合适。而且，在总产品成本和净功率输出以及SOFC系统的电流密度方面，将会有一个局部的最佳点。优化结果表明，PESA-II是此特定系统最适合的算法，因为它会产生更接近理想点的更合适的最佳点。此外，在通过LINMAP方法得出的最终最佳解决方案点上，系统的火用效率为62％，总成本率为1.297 $ / h。