Optimized adsorption processes for next-generation adsorbents

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Adsorption technology, that uses a solid sorbent, is considered an energy efficient alternative to conventional separation processes such as distillation and absorption. Adsorption, being a modular, cyclic, unsteady-state process is challenging to design and optimize: Multiple configurations (cycles) can be synthesized; and the estimation of the process performance for a given set of operating conditions is time-consuming. Note that changing the cycle configuration can significantly alter the process performance. Hence, finding the best cycle and its optimum operating conditions using mathematical models continues to be a major bottleneck in ensuring that the fullest potential of these processes+sorbents are realized. The challenge is further compounded by the fact that the field of adsorbent synthesis is going through a revolution with 1000s of new structures reported each year. Screening these adsorbents and "marrying" them to the cycles that maximize their potentials is critical to translate these discoveries into practice. This discovery program whose long-term aim is to reduce greenhouse gas emissions by developing CO2 reduction technologies and by improving the energy efficiency of separation processes focuses on 3 projects: PROJECT 1: Develop model-free descriptions of adsorption isotherms for systems that show exotic equilibrium behaviour; extend them to describe competitive adsorption; and test their efficiencies through experimental demonstration. PROJECT 2: Develop simplified models for rapid screening of large adsorbent databases; extend them to generate process superstructures;  discover optimal processes to minimize energy consumption and plant footprint; and validate them through experiments. PROJECT 3: Develop machine learning tools for the design and optimization of adsorption processes; Incorporate them in optimization routines and validate them through experiments. As test systems, we will consider 1. O2 purification from air with the aim to lower the cost of medical oxygen; 2. Post-combustion CO2 capture, which is critical for the reduction of greenhouse gas emissions. Identifying potential adsorbents and processes will lead to lowering the cost of CO2 capture. The program leverages on 20 years of research expertise in design and optimization of adsorption processes that has resulted in multiple novel processes and first-of-a-kind pilot-scale demonstrations. HQP participating in this program will be trained in process design, optimization, energy analysis and experimentation that are vital to the Canadian economy. HQP will receive excellent training in  scientific communication and professional skills that will put them on a path of success just like the alumni who have taken up faculty positions around the world, research positions in leading industries and academic institutions.