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Carbon capture and storage (CCS) has gained great interest in recent years as a potential technology to mitigate industrial carbon dioxide (CO 2 ) emissions. Ionic liquids (ILs) were identified as potential CO 2 capturing solvents, due to their negligible vapour pressure, high thermal stability, and wide range of thermophysical properties. However, determining a task-specific IL merely through experimental studies is tedious and costly, as there are about a million possible combinations of cations and anions that may make up the ILs. This work presents a systematic approach to design an optimal IL for the purpose of carbon capture. The significant contribution of the presented approach in this work is the introduction of disjunctive programming to identify optimal operating conditions of the process involved while solving the IL synthesis problem. As studies show, the performance of ILs changes with the operating conditions, which in turn affects overall performance of the carbon capture process. Hence, the presented approach will determine the optimal IL by considering the effect of system operating conditions, and simultaneously determining optimal conditions of the carbon capture process. Operating conditions of the process are modelled as continuous variables; disjunctive programming can discretise these variables and reduce search space for results. Since most of the ILs to be designed are novel solvents, their thermophysical properties are estimated using the group contribution (GC) method. Appropriate structural constraints are defined to ensure the structure of the synthesised IL is feasible. An illustrative case study is solved to demonstrate the proposed approach.

Current atmospheric carbon dioxide (CO 2 ) concentration has exceeded the safe limit of 350 ppm. One potential technology to remove CO 2 from the atmosphere is the integrated bioenergy production and carbon capture system. Bio-energy production system produces multiple energy products from biomass, resulting in zero net increment of CO 2 amount in the atmosphere.Meanwhile, CO 2 produced from bio-energy production is separated for other purposes through carbon capture. To ensure the entire system is environmental friendly, an efficient and green carbon capture solvent should be utilised. Ionic liquids (ILs) are the potential solvents for this purpose, as they have negligible vapour pressure and high thermal stability. However, there are up to a million possible combinations of cation and anion that may make up the ILs. This work presents a systematic approach to identify optimal IL solvent to separate CO 2 produced from bioenergy system at the optimal conditions of carbon capture process. Following that, the bioenergy system is retrofitted to provide sufficient utilities to carbon capture system, to make sure that the entire process is self-sustainable. A case study involving an existing palm-based bioenergy system, integrated with carbon capture to produce CO 2 , is solved to demonstrate the presented approach. Abstract GraphicCapturing carbon dioxide from bio-energy system, using ionic liquid-based solvent, would result in negative CO 2 emissions.

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