大规模风光发电制甲醇工艺的灵活运行策略与成本优化

Flexible operation strategy and cost optimization of methanol production process driven by large-scale solar and wind power

基于绿色甲醇离网生产、电网连接生产、双向联产3种模式,提出并系统性地研究了该工艺的灵活运行及电力供应策略,构建了相应的电力调度数学模型并应用基于人工神经网络的代理模型优化方法进行甲醇生产成本的优化。利用内蒙古通辽的风光数据,以3种生产模式对应的灵活运行策略为基础,评估了绿色甲醇生产的经济技术潜力。研究表明,离网方案受风光波动影响较大,甲醇成本高且能量利用率低;与电网双向连接的甲醇与电力联产方案能够降低24.6%的甲醇生产成本,提升整体能量利用效率至50%并同时保持高可再生能源渗透率。利用调度模型分析了中间氢气存储与甲醇产率对甲醇生产成本、可再生能源渗透率以及能量利用率的关系,以期提供不同要求及目标下甲醇生产的优化运行策略。

Based on three green methanol production modes,namely off-grid,grid-connected,and bi-directional cogeneration,this study proposes and systematically investigates the flexible operation and power supply strategies of this process.A corresponding mathematical model for power dispatch is established,and an optimization method based on artificial neural networks is applied to optimize the methanol production cost.Using the wind/solar power data from Tongliao,Inner Mongolia,China,the economic and technical potential of methanol production is evaluated based on the flexible operation strategies corresponding to the three production modes.The study shows that the off-grid mode is significantly affected by the fluctuations of the wind/solar power,resulting in higher methanol cost and lower energy utilization efficiency.The methanol and electricity cogeneration mode biaxially connected to the grid can reduce the methanol production cost by 24.6%,improve the overall energy utilization efficiency to 50%,and maintain a high penetration rate of renewable energy.The relationship between hydrogen storage,methanol yield respectively and methanol production cost,renewable energy penetration rate,energy utilization efficiency respectively is analyzed by using the dispatch model to provide optimal operating strategies under different requirements and objectives.