A techno-economic equation-based methodology is developed for optimal design and operation of integrated solvent-based post-combustion carbon capture (PCC) processes using a rate-based model for the interaction of gas and liquid. The algorithm considers a wide range of techno-economic design and operation parameters such as number of absorber/desorber columns, height of columns, diameter of columns, operating conditions (P, T) of columns, pressure drop, packing type, percentage of CO₂ mitigated, captured CO₂ purity, amount of solvent regeneration, flooding velocities of columns, and number of compression stages. A case study is conducted to showcase two common objective-functions i) minimizing total capital investment, and ii) minimizing levelized capture costs, both for a 300 MW coal-power plant in Australia. The former objective leads to the lowest possible total capital cost of $312.4 M corresponding to levelized carbon capture cost of 58.1 $/tonne−CO₂. For objective (ii), however, the lowest levelized carbon capture cost is found to be around ten percent lower (52.8 $/tonne−CO₂), though it leads to a higher total capital cost ($325.2 M). The results indicate that the design and operation variables are markedly interactive, and no unique optimal design exists which can deliver all desired outcomes at once. Therefore, decisions on the selection of right variables become dependent on the decision-makers techno-economic objectives.

开发了一种基于技术经济方程式的方法，用于基于气体和液体相互作用的基于速率的模型来优化基于溶剂的集成后燃烧碳捕集（PCC）工艺的优化设计和操作。该算法考虑了广泛的技术经济设计和操作参数，例如吸收塔/解吸塔的数量，塔的高度，塔的直径，塔的操作条件（P，T），压降，填充类型，CO的百分比₂减少了捕获的CO ₂纯度，溶剂再生量，色谱柱注入速度和压缩级数。进行了一个案例研究，以展示两个共同的目标功能：i）最小化总资本投资，ii）最小化平均捕获成本，这两个都是澳大利亚的一个300 MW燃煤电厂。前一个目标导致总资本成本最低，为3.124亿美元，相当于平均碳捕集成本为58.1美元/吨-CO ₂。然而，对于目标（ii），最低的平均碳捕集成本被降低了约百分之十（52.8 $ /吨-CO ₂），尽管这会导致更高的总资本成本（3.252亿美元）。结果表明，设计和操作变量具有明显的交互作用，并且不存在可以一次交付所有期望结果的独特优化设计。因此，关于选择正确变量的决策将取决于决策者的技术经济目标。