Deployment of carbon capture, utilisation, and storage (CCUS) technologies to mitigate climate change and overturn CO2 emissions growth would require transformational changes comprehensively. The primary focus of this manuscript is on the impurities standards and limitation that can ensure project feasibility in the long run. There is a need in the industry for guidance on purity analysis prior to capture, shipment, and storage of carbon dioxide. This is because the cost to capture and separate the stream is proving to be very costly that can make the project to be unfeasible to operate. Following this further, this manuscript discusses the previous research and best practices that establish standards for acceptable impurities that might present in the stream and its effects towards the CCUS system. Consequently, this manuscript also provides better understanding on the impurities effects towards CCUS technology system in general. Understanding these limitations, may provide cost effective solution for CCUS problems that revolves around the impurities in CO2 stream. Impurities can affect some components of the carbon capture and storage process. It is clear that even a little number of impurities can cause the carbon dioxide stream properties to change. There are two primary factors discussed in this manuscript that affect how a CCUS system responds to a CO2 stream that contains impurities: a physical and chemical effects.

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New vapour liquid equilibrium (VLE) data for carbon dioxide (CO2) and hydrogen sulphide (H2S) mixture in deionized water and NaCl aqueous solution are generated at temperature range from 373.15 to 423.15 K and pressure up to 25.0 MPa. A static-analytic type method, taking advantage of two magnetic capillary samplers for phase sampling is used for this VLE measurements. The VLE data generated in this work are compared against literature data, Duan model and the simplified cubic plus association (CPA-SRK72) Equation of State (EoS) model predictions. From the results, it is demonstrated that the CPA-SRK72 EoS model is able to predict the phase behaviour of CO2 and H2S in water and NaCl aqueous solutions with low absolute average deviation (AAD) against the measured experimental data.

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