Carbon capture and storage: Lessons from a storage potential and localization analysis

Selosse, Sandrine; Ricci, Olivia

doi:10.1016/j.apenergy.2016.11.117

Cited by 69 publications

(27 citation statements)

References 35 publications

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“…Dooley's estimate of theoretical capacity is in the same order of magnitude (35 000 GtCO 2 ), but is significantly reduced by physical and practical constraints to 13 500, 3900 and 290 GtCO 2 of effective, practical, and matched potential worldwide, respectively 22 . The effective capacity estimate is in line with estimates reached by integrating global IEA GHG data with data from national and site specific estimates, and other sources such as Total Petroleum System and the United States Geological Survey for a total potential of 10 000 GtCO 2 (Selosse and Ricci 2017).…”

Section: Bioenergy With Carbon Capture and Storage (Beccs)supporting

confidence: 76%

“…The assessment increases dramatically to over 50 000 GtCO 2 when other trapping mechanisms allow storage to occur in aquifers without a structural trap (Hendriks and Blok 1995). Later estimates make use of more detailed information from regional and national studies to generate global estimates (Selosse andRicci 2017, Dooley 2013). Dooley's estimate of theoretical capacity is in the same order of magnitude (35 000 GtCO 2 ), but is significantly reduced by physical and practical constraints to 13 500, 3900 and 290 GtCO 2 of effective, practical, and matched potential worldwide, respectively 22 .…”

Section: Bioenergy With Carbon Capture and Storage (Beccs)mentioning

confidence: 99%

“…This relatively narrow range likely results from thorough documentation of structures during exploration and extraction. Despite wide differences in total potentials, the broad studies with breakdowns provide a narrower range of 458-801 for oil and gas fields (Hendriks and Blok 1995, Selosse and Ricci 2017, Ormerod et al 1993. IEA GHG estimates are based on a detailed database of 155 geological provinces (IEA Greenhouse Gas R&D Programme 2000).…”

Section: Bioenergy With Carbon Capture and Storage (Beccs)mentioning

confidence: 99%

See 2 more Smart Citations

Negative emissions—Part 2: Costs, potentials and side effects

Fuss

Lamb

Callaghan

et al. 2018

Environ. Res. Lett.

1,049

901

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Section: Bioenergy With Carbon Capture and Storage (Beccs)supporting

confidence: 76%

Section: Bioenergy With Carbon Capture and Storage (Beccs)mentioning

confidence: 99%

Section: Bioenergy With Carbon Capture and Storage (Beccs)mentioning

confidence: 99%

See 1 more Smart Citation

Negative emissions—Part 2: Costs, potentials and side effects

Fuss

Lamb

Callaghan

et al. 2018

Environ. Res. Lett.

1,049

901

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“…A new distribution between onshore and offshore potential was also added as regards deep saline aquifers and enhanced oil recovery. Many sources were used, as precisely described in Selosse et al [23], such as for example Wright et al [24], Bachu [25,26], Bradshaw et al [27], Dooley [28], Dahowski et al [29], Michael et al [30,31], Kolenkovi et al [32], van den Broek et al [33], and various specific national sources.…”

Section: Carbon Capture and Storage: The Importance Of Carbon Storagementioning

confidence: 99%

Bioenergy with carbon capture and storage: how carbon storage and biomass resources potentials can impact the development of the BECCS

Selosse

2019

Bioenergy With Carbon Capture and Storage

Self Cite

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The challenges of climate change involve rethinking the world's energy system. In particular, carbon capture and storage technologies are still presented as a solution to reach ambitious decarbonization targets, and particularly when associated with bioenergy resources due to the negative emission they allow. However, avoiding the required Gt of CO 2 emissions by investing in CCS technologies supposes the development of carbon storage capacities and, when associated with bioenergy, a plausible and sustainable potential of biomass resources. This analysis, conducted with the optimization model TIAM-FR (TIMES Integrated Assessment Model, a bottom-up, long-term and multiregional model), highlights the role of these elements in the future development of the BECCS option. More precisely, based, on the one hand, on an advanced methodology of biomass potential assessment, and, on the other hand, on detailed data of storage potential, including onshore and offshore classification, this study shows how such potentials may be a limit to the development of (bioenergy with) carbon capture and storage technologies. This analysis was performed through various scenarios investigated with different levels of potentials and different climate targets on the long-term. As a complement, we also discuss carbon transport costs variation effects and implement a scenario allowing the exclusion of onshore storage due to a hypothetic policy considering public resistance to onshore storage.

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“…There are one coal-fired power plant and seven gas-fired power plants, affiliated with Shenzhen Energy Corporation and a few other corporations, so it is convenient to implement each carbon mitigation technology at once. Although CCS is regarded as effective way to reduce CO 2 emission in the power sector, its high cost and difficulty in technology application make it unsuitable for carbon mitigation in a short period [32]. …”

Section: Model Structure and Assumptionsmentioning

confidence: 99%

A Stochastic Optimization Model for Carbon Mitigation Path under Demand Uncertainty of the Power Sector in Shenzhen, China

2017

Sustainability

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Abstract:In order to solve problems caused by climate change, countries around the world should work together to reduce GHG (greenhouse gas) emissions, especially CO 2 emissions. Power demand takes up the largest proportion of final energy demand in China, so the key to achieve its goal of energy-saving and emission reduction is to reduce the carbon emissions in the power sector. Taking Shenzhen as an example, this paper proposed a stochastic optimization model incorporating power demand uncertainty to plan the carbon mitigation path of power sector between 2015 and 2030. The results show that, in order to achieve the optimal path in Shenzhen's power sector, the carbon mitigation technologies of existing coal and gas-fired power plants will be 100% implemented. Two-thirds and remaining one-third of coal-fired power plant capacities are going to be decommissioned in 2023 and 2028, respectively. Gas-fired power, distributed photovoltaic power, waste-to-energy power and CCHP (Combined Cooling, Heating, and Power) are going to expand their capacities gradually.

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Carbon capture and storage: Lessons from a storage potential and localization analysis

Cited by 69 publications

References 35 publications

Negative emissions—Part 2: Costs, potentials and side effects

Negative emissions—Part 2: Costs, potentials and side effects

Bioenergy with carbon capture and storage: how carbon storage and biomass resources potentials can impact the development of the BECCS

A Stochastic Optimization Model for Carbon Mitigation Path under Demand Uncertainty of the Power Sector in Shenzhen, China

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