Budget-type techno-economic model for onshore CO 2  pipeline transportation in China

N, Wei; Li, Xiaochun; Wang, Qian; Gao, Shuai

doi:10.1016/j.ijggc.2016.05.010

Cited by 33 publications

(19 citation statements)

References 19 publications

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“…The techno‐economic evaluation approach is also an important way to address the multiple uncertainties . The operating and investment costs are analyzed for transporting CO 2 with impurities over long distances .…”

Section: Introductionmentioning

confidence: 99%

“…The operating and investment costs are analyzed for transporting CO 2 with impurities over long distances . By using stochastic and deterministic analyses, the variation cost ranges and mean values are discussed for different regions in China . Based on the optimization model, a sensitivity analysis is conducted to assess the impact of uncertainties on the levelized cost and on the robustness of the optimization configuration.…”

Section: Introductionmentioning

confidence: 99%

“…The techno-economic evaluation approach is also an important way to address the multiple uncertainties. 12,14,15,18 The operating and investment costs are analyzed for transporting CO 2 with impurities over long distances. 18 By using stochastic and deterministic analyses, the variation cost ranges and mean values are discussed for different regions in China.…”

Section: Introductionmentioning

confidence: 99%

“…18 By using stochastic and deterministic analyses, the variation cost ranges and mean values are discussed for different regions in China. 14 Based on the optimization model, 15 a sensitivity analysis is conducted to assess the impact of uncertainties on the levelized cost and on the robustness of the optimization configuration. Monte Carlo trials are not only used to analyze the cost for different regions changes but also to assess the sensitivity of transport costs to the uncertain model parameters.…”

Section: Introductionmentioning

confidence: 99%

“…The varying pipeline optimization results will affect other sub-systems of CCUS -that is, capture and EOR-storage. To solve this issue, an average levelized cost is presented; 14 however, the 2016 paper by Wei et al 14 has not given the optimization design approach with multiple uncertainties. Note that the NINP algorithm is a good flexible approach to solve the average levelized cost-based optimization issue.…”

Section: Introductionmentioning

confidence: 99%

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A nonlinear interval number programming algorithm for CO₂ pipeline transportation design under uncertainties

Tian

Zhao²,

Wang

et al. 2019

Greenhouse Gases

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Carbon capture, utilization and storage (CCUS) technology includes three sub‐systems of CO2 capture: transportation, utilization, and storage. Pipeline transportation is the middle link of CCUS, and its optimization is closely connected with the other two sub‐systems. However, technical and economic parameter uncertainties strongly affect the optimal pipeline cost, which creates a need for flexibility in pipeline design. To solve the flexible optimization design problem in CO2 pipeline transportation, this paper proposes an interval number optimization algorithm. Average levelized cost and system robustness are given as the optimization objectives. A two‐objective, two‐level, two‐step optimization problem is established and solved using a quantum genetic algorithm (QGA). The proposed interval number optimization algorithm makes the optimization process with good decision space, the decision makers can flexibly make decisions based on experimental analysis and subjective preference, and the designed pipeline transportation is flexible and can be combined with the optimization of the other sub‐systems. It can also attain the goal of coordination and unification of CCUS optimization. Numerical studies show that the proposed method can solve the flexible optimization problem effectively in the presence of uncertainties. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A nonlinear interval number programming algorithm for CO₂ pipeline transportation design under uncertainties

Tian

Zhao²,

Wang

et al. 2019

Greenhouse Gases

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Comprehensive technology and economic evaluation based on the promotion of large-scale carbon capture and storage demonstration projects

Shen,

Hu,

Kong

et al. 2023

Rev Environ Sci Biotechnol

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Data on potential of CO2 capture and enhanced water recovery projects in modern coal chemical industries in China

Jiao

et al. 2019

Data in Brief

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This data article presents the first systematic assessment on the potential of onshore CO 2 -enhanced water recovery (CO 2 -EWR) using pure CO 2 streams from industrial separation processes by this evaluation framework. The evaluation framework is developed for CO 2 capture, geological utilization and storage (CCUS) project developments, including CO 2 emission inventory, site suitability evaluation, and source–sink matching with techno-economic models. The data shows the matched source (CO 2 source)-sink (onshore aquifer site) pairs with sites distribution and levelized cost under various scenarios. Data also shows the geographic distribution of source-sink pairs, cost curve, annual cumulative CO 2 storage capacity and enhanced water production under various scenarios. Potential large-scale deployments of CO 2 -EWR projects with low cost in the modern coal chemical industry in China are shown and identified in the dataset. This data article is related to the research article “Cost curve of large-scale deployment of CO 2 -enhanced water recovery technology in modern coal chemical industries in China” (X. Li et al. 2019).

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Budget-type techno-economic model for onshore CO 2 pipeline transportation in China

Cited by 33 publications

References 19 publications

A nonlinear interval number programming algorithm for CO₂ pipeline transportation design under uncertainties

A nonlinear interval number programming algorithm for CO₂ pipeline transportation design under uncertainties

Comprehensive technology and economic evaluation based on the promotion of large-scale carbon capture and storage demonstration projects

Data on potential of CO2 capture and enhanced water recovery projects in modern coal chemical industries in China

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Budget-type techno-economic model for onshore CO 2 pipeline transportation in China

Cited by 33 publications

References 19 publications

A nonlinear interval number programming algorithm for CO2 pipeline transportation design under uncertainties

A nonlinear interval number programming algorithm for CO2 pipeline transportation design under uncertainties

Comprehensive technology and economic evaluation based on the promotion of large-scale carbon capture and storage demonstration projects

Data on potential of CO2 capture and enhanced water recovery projects in modern coal chemical industries in China

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A nonlinear interval number programming algorithm for CO₂ pipeline transportation design under uncertainties

A nonlinear interval number programming algorithm for CO₂ pipeline transportation design under uncertainties