The global energy sector faces dual challenges of reducing carbon emissions and managing the intermittency of renewable energy sources. Addressing the challenge of renewable energy intermittency, the power-to-gas technique emerges as a potent solution and the Allam cycle stands out as a remarkably efficient, semi-closed, supercritical carbon dioxide cycle, boasting a zero-carbon emission process. In the current study, the combination of the Allam cycle and power-to-gas technology yields a zero-carbon emission process, culminating in a highly efficient multi-generation system. This innovative system aims to generate power, methane, and freshwater simultaneously. The waste heat produced as a by-product of the Allam cycle is effectively utilized by integrating it with the multi-effect desalination-thermal vapor compression unit. The system’s performance was evaluated using Engineering Equation Solver for exergy and economic assessments, while MATLAB incorporates an artificial neural network and moth-flame algorithm for multi-objective optimization. The optimization process operates under the influence of nine key decision variables, ensuring comprehensive analysis and robust decision-making. Based on the optimization results and Technique for Order Preference by Similarity to Ideal Solution method, the optimal solution for freshwater mass flow rate, exergy efficiency, and cost rate is determined to be 378.5 kg/s, 39.03 %, and 11,021 $/h, respectively. Finally, this innovative system demonstrates the potential to address renewable energy intermittency and carbon emissions simultaneously, offering a promising approach for sustainable energy generation and water production.

中文翻译：

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开发和分析由阿拉姆循环驱动的新型电-气-电系统，用于同时生产电力和水


全球能源行业面临着减少碳排放和管理可再生能源间歇性的双重挑战。为了解决可再生能源间歇性的挑战，电转气技术成为一种有效的解决方案，而阿拉姆循环作为一种非常高效的半封闭超临界二氧化碳循环脱颖而出，拥有零碳排放过程。在当前的研究中，阿拉姆循环和电转气技术的结合产生了零碳排放过程，最终形成了高效的多联产系统。这个创新系统旨在同时产生电力、甲烷和淡水。阿拉姆循环副产品产生的废热通过与多效海水淡化-热蒸汽压缩装置集成得到有效利用。该系统的性能使用工程方程求解器进行火用和经济评估，而 MATLAB 则采用人工神经网络和飞蛾火焰算法进行多目标优化。优化过程在九个关键决策变量的影响下运行，确保全面分析和稳健决策。根据优化结果和类似于理想解法的顺序偏好技术，确定淡水质量流量、火用效率和成本率的最优解为378.5 kg/s、39.03 %和11,021 $/h，分别。最后，这一创新系统展示了同时解决可再生能源间歇性和碳排放问题的潜力，为可持续能源生产和水生产提供了一种有前景的方法。