Evaluation of Carbon Sequestrations in Japan with a Mathematical Model

Akimoto, Keigo; Kotsubo, Hironori; Asami, Takayoshi; Li, Xiaochun; Uno, Motoo; Tomoda, Toshimasa; Ohsumi, Takashi

doi:10.1016/b978-008044276-1/50144-6

Cited by 4 publications

(3 citation statements)

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“…Assessment of sources and storage sites, together with numerical simulations, emissions mapping and identification of transport routes, has been undertaken for a number of regions in Europe (Holloway, 1996;Larsen et al, 2005). In Japan, studies have modelled and optimized the linkages between 20 onshore emission regions and 20 offshore storage regions, including both ocean storage and geological storage (Akimoto et al, 2003). Preliminary studies have also begun in India (Garg et al, 2005) and Argentina (Amadeo et al, 2005).…”

Section: Regional Studiesmentioning

confidence: 99%

“…Other modelling exercises have shown CCS systems beginning to deploy -at a lower level of less than 370 MtCO 2 a year (100 MtC a year) -in the period 2005-2020 (see, for example, Dooley et al, 2000). Moreover, in an examination of CCS deployment in Japan, Akimoto et al (2003) show CCS deployment beginning in 2010-2020. In a large body of literature (Edmonds et al 2003;Dooley and Wise, 2003;Riahi et al 2003;IEA, 2004), there is agreement that, in a CO 2 -constrained world, CCS systems might begin to deploy in the next few decades and that this deployment will expand significantly after the middle of the century.…”

Section: Timing and Deployment Ratementioning

confidence: 99%

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2 Carbon Dioxide Capture and Storage

Divi¹

2009

Energy Portfolios

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This Intergovernmental Panel on Climate Change (IPCC) Special Report provides information for policymakers, scientists and engineers in the field of climate change and reduction of CO2 emissions. It describes sources, capture, transport, and storage of CO2. It also discusses the costs, economic potential, and societal issues of the technology, including public perception and regulatory aspects. Storage options evaluated include geological storage, ocean storage, and mineral carbonation. Notably, the report places CO2 capture and storage in the context of other climate change mitigation options, such as fuel switch, energy efficiency, renewables and nuclear energy.This report shows that the potential of CO2 capture and storage is considerable, and the costs for mitigating climate change can be decreased compared to strategies where only other climate change mitigation options are considered. The importance of future capture and storage of CO2 for mitigating climate change will depend on a number of factors, including financial incentives provided for deployment, and whether the risks of storage can be successfully managed. The volume includes a Summary for Policymakers approved by governments represented in the IPCC, and a Technical Summary.The IPCC Special Report on Carbon Dioxide Capture and Storage provides invaluable information for researchers in environmental science, geology, engineering and the oil and gas sector, policymakers in governments and environmental organizations, and scientists and engineers in industry. Pulverized Coal reference plant US$/tCO avoided Power plant with capture and geological storage Natural Gas Combined Cycle 40 -90 20 -60 Pulverized Coal 70 -270 30 -70 Integrated Gasification Combined Cycle 40 -220 20 -70 Power plant with capture and EOR 17 Natural Gas Combined Cycle 20 -70 0 -30 Pulverized Coal 50 -240 10 -40 Integrated Gasification Combined Cycle 20 -190 0 -40 Table SPM.. 2002 Cost ranges for the components of a CCS system as applied to a given type of power plant or industrial source. The costs of the separate components cannot simply be summed to calculate the costs of the whole CCS system in US$/CO 2 avoided. All numbers are representative of the costs for large-scale, new installations, with natural gas prices assumed to be 2.8-4.

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Section: Regional Studiesmentioning

confidence: 99%

Section: Timing and Deployment Ratementioning

confidence: 99%

2 Carbon Dioxide Capture and Storage

Divi¹

2009

Energy Portfolios

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“…Several prior studies have evaluated the power expansion planning in Japan, using computer models, from various perspectives: power expansion planning with a focus on the demand side management using thermal storage systems (1) (2) , planning under uncertainties of CO 2 emission regulations (3) , planning including dispersed generations under uncertainties of electric demands (4) , energy system planning particularly focused on CO 2 capture and sequestration (5) , etc. The assessment of technology developments is very important especially for large-scale technologies, e.g., electric power technologies, since a large amount of capital resources is required for their development.…”

Section: Introductionmentioning

confidence: 99%

Analysis of R&D Strategy for Advanced Combined Cycle Power Systems

et al. 2006

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Non-memberThis article analyzes and evaluates the R&D strategy for advanced power generation technologies, such as natural gas combined cycles, IGCCs (Integrated coal Gasification Combined Cycles), and large-scale fuel cell power generation systems with a mixed-integer programming model. The R&D processes are explicitly formulated in the model through GERT (Graphical Evaluation and Review Technique), and the data on each required time of R&D was collected through questionnaire surveys among the experts. The obtained cost-effective strategy incorporates the optimum investment allocation among the developments of various elemental technologies, and at the same time, it incorporates the least-cost expansion planning of power systems in Japan including other power generation technologies such as conventional coal, oil, and gas fired, and hydro and wind power. The simulation results show the selection of the cost-effective technology developments and the importance of the concentrated investments in them. For example, IGCC, which has a relatively high thermal efficiency, and LNG-CCs of the assumed two efficiencies are the cost-effective investment targets in the no-CO 2 -regulation case.

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Using short‐term resource scheduling for assessing effectiveness of CCS within electricity generation subsector

et al. 2015

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A new methodology for assessing the effectiveness of carbon capture and storage (CCS) that does explicitly consider the detailed operation of the target electricity system is proposed. The electricity system simulation consists of three phases, each one using a modified version of an economic dispatch problem that seeks to maximize the producers’ and consumers’ surplus while satisfying the technical constraints of the system. The economic dispatch is formulated as a dynamic mixed‐integer nonlinear programming problem and implemented in general algebraic modelling system (GAMS). The generating unit with CCS is designed and simulated using Aspen Plus®. In the first case study, the operation of the IEEE RTS ’96 (Institute of Electrical and Electronics Engineers One‐Area Reliability Test System—1996) is simulated with greenhouse gas (GHG) regulation implemented in the form of CO2 permits that generators need to acquire for every unit of CO2 that it is emitted. In the second case study, CCS is added at one of the buses and the operation of the modified IEEE RTS ’96 is again simulated with and without GHG regulation. The results suggest that the detailed operation of the target electricity system should be considered in future assessments of CCS and a general procedure for undertaking this for any GHG mitigation option is proposed. Future work will use the novel methodology for assessing the effectiveness of generating units with flexible CO2 capture. © 2015 American Institute of Chemical Engineers AIChE J, 61: 4210–4234, 2015

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Evaluation of Carbon Sequestrations in Japan with a Mathematical Model

Cited by 4 publications

References 0 publications

2 Carbon Dioxide Capture and Storage

2 Carbon Dioxide Capture and Storage

Analysis of R&D Strategy for Advanced Combined Cycle Power Systems

Using short‐term resource scheduling for assessing effectiveness of CCS within electricity generation subsector

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