The design of a pressure swing adsorption (PSA) system requires the development of a complex model that can describe the dynamics of adsorption in a fixed-bed, which means a labor intensive and time consuming work, especially when several adsorbents are going to be compared. Therefore, it would be very useful to establish a simple procedure to quickly assess the performance during the early stages of PSA systems design. The aim of this work is to develop a simplistic approach that drives the decision-making process on the adsorbent in a shorter time. A combined experimental and numerical study of CO₂/CH₄ adsorption is presented. Thus, three commercial activated carbons are compared in their performance to separate CO₂ from biogas under PSA conditions by means of equilibrium adsorption data. A straightaway model, developed to approach PSA systems in a very simple way, where the only input is equilibrium of adsorption data, has been adopted. The Adsorption Figure of Merit (AFM), CO₂ purity and CO₂ recovery were selected as performance indicators and they have pointed out one of the activated carbons, MC27, as the most promising adsorbent candidate to separate CO₂/CH₄ by means of PSA. A sensitivity analysis of the process performance as a function of the bed dimensions has been addressed using the developed short-cut model.

变压吸附（PSA）系统的设计要求开发一个复杂的模型，该模型可以描述固定床中的吸附动力学，这意味着工作量大且耗时，尤其是在要比较几种吸附剂时。因此，建立一个简单的程序以在PSA系统设计的早期阶段快速评估性能将非常有用。这项工作的目的是开发一种简化的方法，以在较短的时间内驱动吸附剂的决策过程。提出了结合CO ₂ / CH ₄吸附的实验和数值研究。因此，将三种市售活性炭的性能进行了比较，以分离出CO ₂在PSA条件下通过平衡吸附数据从沼气中分离出沼气。采用了一种简单的模型，该模型以非常简单的方式接近PSA系统，其中唯一的输入就是吸附数据的平衡。选择了优异的吸附性能指标（AFM），CO ₂纯度和CO ₂回收率，他们指出其中一种活性炭MC27是最有希望的吸附剂，可通过以下方法分离CO ₂ / CH ₄。 PSA。使用开发的捷径模型已经解决了根据床尺寸对工艺性能进行敏感性分析的问题。