Options for transporting CO2 from coal fired power plants Case Denmark

Haugen, Hans Aksel; Eldrup, Nils Henrik; Bernstone, Christian; Liljemark, Stefan; Pettersson, Helena; Noer, M; Holland, J.G.F.; Nilsson, Per Arne; Hegerland, Georg; Pande, John O.

doi:10.1016/j.egypro.2009.01.218

Cited by 16 publications

(4 citation statements)

References 3 publications

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“…Based on the distance and geographical characteristics from capture point to storage site, CO 2 can be transported by tanker truck, ship, and pipeline. The pipeline is considered to be the most economical and reliable option for large scale CO 2 transport 25–26 . However, under some specific situations or locations, CO 2 shipping may become economically feasible, particularly when the CO 2 has to be moved over large distances or overseas 27 …”

Section: Development Of Optimization‐based Ccus Source‐sink Matching ...mentioning

confidence: 99%

“…The pipeline is considered to be the most economical and reliable option for large scale CO 2 transport. [25][26] However, under some specific situations or locations, CO 2 shipping may become economically feasible, particularly when the CO 2 has to be moved over large distances or overseas. 27 Following the capture and transport process, the CO 2 will be injected deep underground at depths of around 1,000 m or more using technologies derived from the oil and gas industry.…”

Section: Characterization Of Ccus Clustermentioning

confidence: 99%

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An optimization‐based CCUS source‐sink matching model for dynamic planning of CCUS clusters

Lin

Yang

et al. 2022

Greenhouse Gases

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Carbon capture, utilization and storage (CCUS) is a critical technology option in achieving large-scale CO 2 mitigation for power and industrial sectors. A full-chain CCUS cluster could be formed based on numerous scattered capture sources and one or more storage sites connected by a pipeline network. Reasonable source-sink matching planning for a full-chain CCUS cluster could substantially reduce the system overhead. However, most of the previous studies could hardly address the dynamic source-sink matching planning problem of a full-chain CCUS cluster with multiple types of emission sources and sinks during multiple periods. Therefore, the objective of this study is to investigate an optimized source-sink matching scheme within a CCUS cluster through developing an optimization-based CCUS source-sink matching model. The proposed model is based on multistage mixed integer linear programming techniques with the objective of least-cost strategy; thus, it can deal with dynamics of capacity expansion associated with CCUS activities. The developed method is then applied to a CCUS cluster facing long-term dynamic planning issues. The modeling results suggest that the optimization-based CCUS source-sink matching model is applicable in reflecting dynamics of time, scale and location of CO 2 capture, transportation and storage within a CCUS cluster. The obtained solutions can provide decision bases for formulating an optimal planning scheme of a full-chain CCUS cluster under evolving reduction targets or constraints.

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Section: Development Of Optimization‐based Ccus Source‐sink Matching ...mentioning

confidence: 99%

Section: Characterization Of Ccus Clustermentioning

confidence: 99%

An optimization‐based CCUS source‐sink matching model for dynamic planning of CCUS clusters

Lin

Yang

et al. 2022

Greenhouse Gases

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“…Increasing pipeline diameter to have low pressure drop will result in lower compression power, however it increases capital cost on the other hand. Haugen et al [32] studied options for alternative CO 2 transport schemes for Denmark case. In their study, high inlet pressure was used which means the pressure drop in the pipeline must be compensated for by the CO 2 compressor by keeping higher pressure at the pipeline inlet.…”

Section: Operational Range Of Pipelinementioning

confidence: 99%

Economic analysis for the transport and storage of captured carbon dioxide in South Korea

Zahid

Lee

et al. 2013

Env Prog and Sustain Energy

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The continuous rise of CO2 emissions is a major cause of global climate change. Carbon capture and storage (CCS) is widely seen as a practical technology for reducing CO2 emissions. CCS mainly consists of capturing CO2 from large emitting sources and its transportation to a sequestration site where it can be stored safely for a long period of time. The average CO2 emission growth rate of Korea is 1.0% which is the second highest among the Organization for Economic Co‐operation and Development (OECD) countries. It becomes even more challenging when CO2 is transported to an offshore storage since there is little experience with subsea pipelines for CO2 transportation. In this study, a plausible transport and storage model scheme has been developed and then employed to study different offshore CO2 transportation cases for South Korea as: CO2 transport in liquid phase (Temperature= −20°C, Pressure= 6.50 MPa); CO2 transport in liquid phase (Temperature= 5°C, Pressure= 9.30 MPa); CO2 transport in supercritical phase (Temperature= 40°C, Pressure= 15.00 MPa). CO2 storage capacity in sedimentary basins of Korea is evaluated between 19 and 27.2 Gt (giga‐ton) of CO2. Finally, this paper explores the costs associated with transport and geologic sequestration of CO2. Transport cost varies from 10.9 to 15.5 US$/tCO2 while the storage cost ranges from 20.8 to 21.3 US$/tCO2 depending on the specific scenario and depth at which CO2 is stored. Sensitivity analysis showed a decrease in storage cost of 62.4% and 93.6% in 2030 and 2050 respectively for projected CO2 volumes in Korea. © 2013 American Institute of Chemical Engineers Environ Prog, 33: 978–992, 2014

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“…A plethora of approaches has been developed over the years to manage projects and to plan operations in the oil and gas industry, starting from static cost models to support the evaluation of feasible transportation options. Haugen et al (2009) debated the trade-off among different CO 2 storage options under two power plant locations. Aspelund et al (2006) presented a tool to evaluate from the economic viewpointship transport against pipeline transport to bring CO 2 to offshore platforms.…”

Section: Introductionmentioning

confidence: 99%

Using simulation to manage project supply chain in the offshore oil and gas industry

Cigolini

Pero

Rossi

et al. 2014

Production Planning & Control

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This paper is aimed at comparing simulation against spreadsheets as decision support tools to properly manage project supply chain in the offshore oil and gas industry. The paper presents a case study related to the problem of sizing a chain for pipeline laying from an offshore field in the Barents sea to the Russian coast. Results obtained through a spreadsheet developed by an oil and gas company have been compared to the ones gathered from an ad hoc simulation model. A simulation model with no stochastic variable has been introduced: results are quite similar to the ones of the spreadsheet, which allowed to validate the simulation model. However, the spreadsheet cannot take into account the con-tinuous move of the pipe-lay vessel while laying the pipes and it does not consider stochastic variables whose effect in real life is not negligible. Both weaknesses above are discussed.

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Options for transporting CO2 from coal fired power plants Case Denmark

Cited by 16 publications

References 3 publications

An optimization‐based CCUS source‐sink matching model for dynamic planning of CCUS clusters

An optimization‐based CCUS source‐sink matching model for dynamic planning of CCUS clusters

Economic analysis for the transport and storage of captured carbon dioxide in South Korea

Using simulation to manage project supply chain in the offshore oil and gas industry

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