Optimal Planning and Design of CO 2 Capture and Utilization Systems with Social Discount Rates
TL;DR: In this article , a linear programming (LP) model for matching CO 2 sources and utilization facilities in a CCU system is developed, considering CO 2 discounting, purity requirements, and material balance constraints.
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Abstract: With the drastic consequences of climate change, such as increased global temperatures and rising sea levels, becoming more prevalent, the importance of reducing greenhouse gas emissions is heightened. One of the primary steps necessary to address this global environmental issue is to achieve net-zero emissions by adopting technologies that capture and sequester greenhouse gases. CO 2 capture and utilization (CCU) stands out as one of the feasible strategies in mitigating and combatting climate change. This is because its characteristic of reusing and turning captured CO 2 into valuable products addresses the economic drawbacks of CO 2 capture and storage (CCS). This economic benefit incentivizes CO 2 capture. To efficiently capture and utilize CO 2 from power plant sources, decision support tools are necessary for the optimal planning and design of CCU systems. In this work, a linear programming (LP) model for matching CO 2 sources and utilization facilities in a CCU system is developed, considering CO 2 discounting, purity requirements, and material balance constraints. Purity or quality stipulations are necessary in the field of CCU since utilization facilities set purity standards before captured CO 2 can be used in their processes. CO 2 discounting, on the other hand, is included to quantitatively consider the effective CO 2 emissions resulting from the delay made by various CCU industries or technologies. While CCU does not reduce the total amount of emissions like CCS, delaying the release of CO 2 into the atmosphere is considered more beneficial than its direct emission. CCU can also be integrated with CCS so that more flexible systems with a wider array of options to achieve net-zero emissions can be generated. The developed model is then applied to a realistic CCU system case study to generate insights into the use of the model and its results. Using a conservative social discount rate of 5% on a CCU system with eight CO 2 sources and four utilization facilities, an objective value of 2,639.70 monetary units and a CO 2 discounting equivalent to 1.01 years were obtained from the model
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References
The technological and economic prospects for CO2 utilization and removal
Cameron Hepburn,Ella K. Adlen,John Beddington,Emily A. Carter,Emily A. Carter,Sabine Fuss,Niall Mac Dowell,Jan C. Minx,Pete Smith,Charlotte K. Williams +9 more
TL;DR: The capture and use of carbon dioxide to create valuable products might lower the net costs of reducing emissions or removing carbon dioxide from the atmosphere, but barriers to implementation remain substantial and resource constraints prevent the simultaneous deployment of all pathways.
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TL;DR: In this paper, the main strategies for climate change abatement, namely conventional mitigation, negative emissions and radiative forcing geoengineering, are reviewed, and it is evident that conventional mitigation efforts alone are not sufficient to meet the targets stipulated by the Paris agreement; therefore, the utilization of alternative routes appears inevitable.
A review of optimization and decision-making models for the planning of CO2 capture, utilization and storage (CCUS) systems
TL;DR: In this paper, the authors provide an in-depth discussion of the state-of-the-art of these tools, and also discuss recent developments on integrating CCUS components in large-scale planning.
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A multi-scale framework for CO 2 capture, utilization, and sequestration: CCUS and CCU
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A review of carbon capture and utilisation as a CO2 abatement opportunity within the EWF nexus
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TL;DR: Carbon capture and utilisation (CCU) is considered an important CO2 mitigation strategy to support and compliment carbon capture and storage (CCS) objectives for the abatement and sequestration of CO2 as mentioned in this paper.
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