A growing interest within the Carbon Capture, Utilisation and Storage (CCUS) community is large cluster networks that combine captured CO₂ from power and industrial sources, in order to reduce the costs associated with transportation and storage. Several studies have investigated the effects of stream impurities or pipeline operating conditions, specifically for the compression train, but few sources look at both ends of the conditioning problem.

Within this study, various CO₂ sources (post-capture) are used as inputs into process models for two different conditioning routes. Evaluation of each scenario's performance are related to the compressor power consumption and the overall specific energy demand. This highlighted the benefits of higher initial stream pressure and the increased energy demand due to the small flowrate basis. A sensitivity analysis showed the rate at which the energy demand fluctuates as a function of changing inlet stream characteristics (pressure and flowrate). Dynamic simulations showed the effects of transient CO₂ production on the conditioning train, based on a realistic power generation scenario. Overall, the results indicate several conditioning challenges with linking various CO₂ sources in the same cluster network, mainly the much higher energy demand of low flowrate (<10 kg/s) systems and the negative energy demand effects of transient CO₂ production.

碳捕集、利用和封存 (CCUS) 社区对大型集群网络越来越感兴趣，该网络将来自电力和工业来源的捕获的 CO ₂结合起来，以降低与运输和封存相关的成本。几项研究调查了流杂质或管道运行条件的影响，特别是对于压缩系统，但很少有资源关注调节问题的两端。

在本研究中，各种 CO ₂源（捕集后）被用作两种不同调节路线的过程模型的输入。每个场景的性能评估都与压缩机功耗和整体特定能源需求有关。这突出了更高的初始流压力和由于小流量基础而增加的能量需求的好处。敏感性分析显示了能量需求波动的速率作为改变入口流特征（压力和流速）的函数。基于真实的发电场景，动态模拟显示了瞬态 CO ₂产生对调节列车的影响。总体而言，结果表明将各种 CO ₂源在同一集群网络中，主要是低流量 (<10 kg/s) 系统的高得多的能源需求和瞬态 CO ₂生产的负面能源需求影响。