We assess the potential synergies of integrating renewables-based fuels and power production processes in one network, with a strong emphasis on the consideration of operational constraints and time-varying availability of renewable resources. We propose a multiscale mixed-integer linear programming model that combines superstructure-based synthesis and integrated production planning and scheduling. The model is applied to a particular region in Spain, where we analyze the feasibility of a renewables-based process network in terms of meeting given demands for gasoline, diesel, and electricity. The optimal and sometimes counterintuitive designs highlight the complex interactions and help identify bottlenecks in these process networks. Moreover, we solve each case using the multiscale model as well as a commonly used aggregate model; the two models obtain remarkably different solutions. The proposed multiscale model obtains high-quality solutions that stand the test of re-evaluation using a detailed model, whereas the aggregate model proposes network configurations that only satisfy small portions of the demands.

我们评估将基于可再生能源的燃料和电力生产过程整合到一个网络中的潜在协同作用，并特别强调对运营限制和可再生资源随时间变化的可用性的考虑。我们提出了一种多尺度混合整数线性规划模型，该模型将基于上层结构的综合与集成的生产计划和调度相结合。该模型适用于西班牙的特定地区，在该地区，我们根据可满足汽油，柴油和电力需求的需求，分析了基于可再生能源的过程网络的可行性。最佳的，有时是违反直觉的设计突出了复杂的交互作用，并帮助确定了这些过程网络中的瓶颈。此外，我们使用多尺度模型以及常用的集合模型来解决每种情况；这两个模型获得了截然不同的解决方案。所提出的多尺度模型使用详细模型来获得经重新评估检验的高质量解决方案，而集合模型提出的网络配置只能满足一小部分需求。