Global learning on carbon capture and storage: A call for strong international cooperation on CCS demonstration

Coninck, H.C. de; Stephens, Jennie C.; Metz, Bert

doi:10.1016/j.enpol.2009.01.020

Cited by 100 publications

(40 citation statements)

References 6 publications

(7 reference statements)

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“…At present, it remains unlikely that the CDM, dependent on the activity of other carbon markets, can realistically supply the finance required. Technology support raises issues around IPR 47 protection. While a balance that gives some benefit from research investment must be found, it is important to recognise that the market in CCS technology is currently essentially speculative.…”

Section: (Iii)mentioning

confidence: 99%

Last chance for carbon capture and storage

et al. 2012

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ABSTRACT:Anthropogenic energy-related CO 2 emissions are higher than ever. With new fossil fuel power plants, growing energy-intensive industries and new sources of fossil fuels in development further emissions increase seems inevitable. The rapid application of carbon capture and storage (CCS) is a much heralded means to tackle emissions from both existing and future sources. However, despite extensive and successful research and development, progress in deploying CCS has stalled. No fossil fuel burning power plants, the greatest source of CO 2 emissions, are currently using CCS, and publicly supported CCS demonstration programmes are struggling to deliver actual projects. Yet, CCS remains a core component of national and global emissions reduction scenarios. Governments have to either increase commitment to CCS through much more active market support and emissions regulation, or accept its failure and recognise that continued expansion of fossil fuel burning energy capacity is a severe threat to attaining climate change mitigation objectives.

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Section: (Iii)mentioning

confidence: 99%

Last chance for carbon capture and storage

et al. 2012

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“…Studies on how to apply new technologies related to CO 2 capture and storage (CCS) or adjust the electricity generating structure, however, have hardly been covered in their models. CCS is the key technology that reduces carbon emissions from coal-fired power plants, and as such is essential since coal is at present the predominant fuel for electricity and responsible for no less than 40% of global CO 2 emissions (de Coninck et al 2009). In addition, CCS is regarded as one of the most promising technologies for reducing GHG emissions from fossil fuel use (Mitrovic and Malone 2011).…”

Section: Introductionmentioning

confidence: 99%

An interval mixed-integer non-linear programming model to support regional electric power systems planning with CO2 capture and storage under uncertainty

2012

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Background: Electric generating capacity expansion has been always an essential way to handle the electricity shortage, meanwhile, greenhouse-gas (GHG) emission, especially CO 2 , from electric power systems becomes crucial considerations in recent years for the related planners. Therefore, effective approach to dealing with the tradeoff between capacity expansion and carbon emission reduction is much desired. Results: In this study, an interval mixed-integer non-linear programming (IMINLP) model was developed to assist regional electric power systems planning under uncertainty. CO 2 capture and storage (CCS) technologies had been introduced to the IMINLP model to help reduce carbon emission. The developed IMINLP model could be disassembled into a number of ILP models, then two-step method (TSM) was used to obtain the optimal solutions. A case study was provided for demonstrating applicability of the developed method. Conclusions:The results indicated that the developed model was capable of providing alternative decisions based on scenario analysis for electricity planning with consideration of CCS technologies. The IMINLP model could provide an effective linkage between carbon sequestration and electric generating capacity expansion with the aim of minimizing system costs.

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“…de Coninck et al (2009b) has pointed out that although some CCS components are currently commercial, most components and the integrated CCS infrastructure are not. This also applies to CCS coupled to power plants and even more so to industrial processes.…”

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confidence: 99%

Obstacles for CCS deployment: an analysis of discrepancies of perceptions

Stigson

Hansson

Lind³

2012

Mitig Adapt Strateg Glob Change

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The potential for CO 2 emission reductions through carbon capture and storage (CCS) is depending on investments that can bring the technology from the current R&D through to commercial applications. The intermediate step in this development is demonstration plants that can prove the technical, economic, social, and ecological feasibility of CCS technologies. Based on a CCS stakeholder questionnaire survey and a literature review, we critically analyse discrepancies regarding perceptions of deployment obstacles and experiences from early demonstration plants. The analysis identifies discrepancies between CCS policies versus important deployment considerations and CCS stakeholder policy demands. The discrepancy gap is emphasised by lessons from restructured, postponed, and cancelled CCS projects. To bridge this cognitive gap towards proving CCS through demonstration activities, the article highlights policy implications of establishing a broad understanding of deployment obstacles. Attention to these obstacles is important for policymakers and industry in channelling efforts to demonstrating CCS, hence validating the current focus on CCS as a key abatement potential. Under present conditions, the findings question the robustness of current CCS abatement potential estimates and deployment goals as established by policymakers and in scenarios.

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Global learning on carbon capture and storage: A call for strong international cooperation on CCS demonstration

Cited by 100 publications

References 6 publications

Last chance for carbon capture and storage

Last chance for carbon capture and storage

An interval mixed-integer non-linear programming model to support regional electric power systems planning with CO2 capture and storage under uncertainty

Obstacles for CCS deployment: an analysis of discrepancies of perceptions

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