This work presents a fully open-source superstructure optimization model for bi-criteria process design optimization. This model is implemented in the Open sUperstrucTure moDeling and OptimizatiOn fRamework (OUTDOOR). It combines mass, energy and cost balances with a more sophisticated heat integration concept with low computational effort and acceptable accuracy. The model is applied to a Power-to-Methanol (PtM) process design case study. A cost optimal methanol plant is identified at net production costs (NPC) of 892 €/t_MeOH and net production emissions (NPE) of -1.937 t_CO2-eq./t_MeOH. It utilizes CO₂ captured from refinery flue gas and hydrogen supply via. ambient pressure alkaline electrolysis. A plant configuration, designed for minimum CO₂ emissions yields costs of 979 €/t_MeOH with emissions of -2.191 t_CO2-eq./t_MeOH, using CO₂ from ambient air and refinery and cement factory flue gases. A sensitivity analysis on electricity prices forecasts cost competitive methanol at large production capacities and low electricity prices of 2 ct/kWh.

这项工作为双标准流程设计优化提供了一个完全开放源代码的上层结构优化模型。该模型是在实施ø笔小号ü perstruc Ť URE莫d鹅岭和 ö ptimizati ö ·N· [R amework（室外）。它结合了质量，能量和成本的平衡，并具有更复杂的热集成概念，且计算量少且可接受的精度高。该模型被应用于动力制甲醇（PtM）工艺设计案例研究。确定了成本最佳的甲醇装置，其净生产成本（NPC）为892€/ t _MeOH，净生产排放量（NPE）为-1.937 t _CO2-eq。/吨_甲醇。它利用了从炼厂烟气中捕获的CO ₂和氢气供应通道。常压碱性电解。以最低CO ₂排放量设计的工厂配置产生的成本为979€/ t _MeOH，排放量为-2.191 t _CO2-eq。/ t _MeOH，使用来自环境空气，炼油厂和水泥厂烟气的CO ₂。对电价的敏感性分析预测，在大产能和2 ct / kWh的低电价下，甲醇的成本具有竞争力。