A CO₂ compression and purification unit (CPU) using the phase separation method is a promising option to obtain high-purity CO₂ products from oxy-fuel combustion power plants. For such CPU systems, a self-optimizing control method is applied for the first time with the objectives of minimizing energy consumption and economic cost. Although the set of controlled variables is determined identically for self-optimizing control structures based on the targets of specific energy consumption (case 1) and specific economic cost (case 2), their control pairings are different. The optimized control structures are feasible for implementation of the operating targets with low energy and cost penalties. Case 1 would be the most suitable control strategy, because its absolute amplitude of variations for specific energy consumption and specific economic cost are only 14.02% and 10.29% of those for case 2, respectively. The results provide a new solution to achieve energy-efficient and cost-effective operations for oxy-fuel combustion systems.

中文翻译：

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含氧燃料燃烧中CO ₂压缩净化单元的自优化控制结构和动态行为

使用相分离方法的CO ₂压缩和净化单元（CPU）是获得高纯度CO ₂的有前途的选择氧燃料燃烧发电厂的产品。对于这样的CPU系统，第一次以一种自优化控制方法为目的，以最小化能耗和经济成本。尽管根据特定能耗（情况1）和特定经济成本（情况2）的目标为自优化控制结构确定了相同的控制变量集，但它们的控制配对却不同。优化的控制结构对于以低能耗和低成本的代价实现操作目标是可行的。情况1将是最合适的控制策略，因为其特定能耗和特定经济成本的绝对变化幅度分别仅为情况2的14.02％和10.29％。