An inexact optimization model for planning regional carbon capture, transportation and storage systems under uncertainty

Wu, Qian; Lin, Q.G.; Wang, X.Z.; Zhai, M.Y.

doi:10.1016/j.ijggc.2015.09.017

Cited by 20 publications

(4 citation statements)

References 29 publications

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“…The existing literature on CCS transport pipeline network decision planning has approached the path optimization problem using mixed integer linear programming (MILP). Previous studies using MILP for path optimization have mainly investigated regional CCS networks in terms of economic cost, such as in Norway [10], Germany [18], the UK [9], Pacific Northwest US [19], Texas [20], China [21,22], and Korea [23]. However, Han and Lee [23] and Zhang et al [22] were the only studies to have included environmental impacts in consideration as a factor of network cost.…”

Section: Literature Reviewmentioning

confidence: 99%

More Than a Pipe Dream: Expanding SimCCS Carbon Transportation Pipeline Optimization to Consider Environmental Tradeoffs

Young,

Thompson,

Krupnick

et al. 2023

Preprint

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Carbon Capture and Storage (CCS) is a pivotal technology for reducing greenhouse gas emissions. While developments have been made in capture and storage capabilities, the planning and development of an optimized transport pipeline network for linking emission sources to storage sites remains understudied. This study aims to extend the capabilities of SimCCS, a widely-used CCS planning tool, to incorporate environmental, social, and cultural considerations alongside economic costs of pipeline networks. Utilizing multi-objective optimization, we introduce an additional objective function that minimizes environmental and social impacts. This function integrates spatial data layers representing critical habitats, protected areas, and other socio-ecological factors. Preliminary results illustrate the model's capacity for multi-objective optimization. The annual expense for maintaining a sample pipeline network increased from $434 million to $622 million, with pipeline lengths of 1986 kilometers and 2878 kilometers, respectively, when shifting focus from cost to environmental and social impacts. This research contributes a more comprehensive framework for the planning of future CCS infrastructure that is both economically and environmentally sustainable.

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Section: Literature Reviewmentioning

confidence: 99%

More Than a Pipe Dream: Expanding SimCCS Carbon Transportation Pipeline Optimization to Consider Environmental Tradeoffs

Young,

Thompson,

Krupnick

et al. 2023

Preprint

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“…The geologic CO 2 storage formations below any given power plant, if any exist, may or may not be the least-cost location to store the captured CO 2 when considering the geospatial variability of CO 2 storage capacities and costs, the cost of CO 2 transportation, and other costs like electricity transmission infrastructure (Hannon and Esposito, 2015). Further, determining a least-cost CO 2 transportation network is nontrivial, even if all the CO 2 point sources and potential sinks are identified (Middleton and Bielicki, 2009;Wu et al, 2015;Middleton et al, 2020c). Capturing the systems-level ramifications of CO 2 transportation endogenously within an energy system planning tool is even more difficult because the power plants equipped with CO 2 capture (i.e., the CO 2 point sources) have not been identified, and are instead a possible option that the model may, or may not, deploy.…”

Section: Introduction Motivation Literature Review and Research Gapsmentioning

confidence: 99%

The Importance of Modeling Carbon Dioxide Transportation and Geologic Storage in Energy System Planning Tools

et al. 2022

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Energy system planning tools suggest that the cost and feasibility of climate-stabilizing energy transitions are sensitive to the cost of CO2 capture and storage processes (CCS), but the representation of CO2 transportation and geologic storage in these tools is often simple or non-existent. We develop the capability of producing dynamic-reservoir-simulation-based geologic CO2 storage supply curves with the Sequestration of CO2 Tool (SCO2T) and use it with the ReEDS electric sector planning model to investigate the effects of CO2 transportation and geologic storage representation on energy system planning tool results. We use a locational case study of the Electric Reliability Council of Texas (ERCOT) region. Our results suggest that the cost of geologic CO2 storage may be as low as $3/tCO2 and that site-level assumptions may affect this cost by several dollars per tonne. At the grid level, the cost of geologic CO2 storage has generally smaller effects compared to other assumptions (e.g., natural gas price), but small variations in this cost can change results (e.g., capacity deployment decisions) when policy renders CCS marginally competitive. The cost of CO2 transportation generally affects the location of geologic CO2 storage investment more than the quantity of CO2 captured or the location of electricity generation investment. We conclude with a few recommendations for future energy system researchers when modeling CCS. For example, assuming a cost for geologic CO2 storage (e.g., $5/tCO2) may be less consequential compared to assuming free storage by excluding it from the model.

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“…In this context, a carbon tax gives several advantages allowing self-sustaining growth by a reinforcing mechanism. Wu et al 36 suggested that, without a high carbon price, the passage from demonstration stage to deployment stage of these supply chains is difficult in a short time. In addition to CO 2 -EOR, in the work of Huang et al, 14 carbon dioxide is injected for enhanced coal bed methane production (CO 2 -ECBM): a MINLP model is considered to maximize the profit.…”

Section: Introductionmentioning

confidence: 99%

Scenario Analysis of Carbon Capture, Utilization (Particularly Producing Methane and Methanol), and Storage (CCUS) Systems

Leonzio

Foscolo

Zondervan

et al. 2020

Ind. Eng. Chem. Res.

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Carbon capture utilization and storage (CCUS) supply chains are expected to play an important role in the near future for greenhouse gas reduction. Reuse by chemical transformation has become an important way of reducing emissions, and this study explores this as an option. A more complete and realistic objective function than in previous studies is considered and minimized to determine optimal designs for CCUS systems. The objective function consists of remission of an element of carbon tax, economic incentives, and revenues subtracted from total supply chain costs. Carbon supply chains were analyzed for Italy and Germany. In the first case, the captured carbon dioxide is stored and used to produce methane, whereas, in the second case, the captured carbon dioxide is stored and used to produce methanol in one case, and more products in another case. The most significant values of cost parameters for the market prevailing in recent years are considered in a sensitivity analysis. Results show that the carbon tax influences only the total value of the objective function value, while economic incentives and revenues have a significant effect also on the topology of the supply chain. Model optimization is a useful decision support tool for CCUS supply chain design and related investment decisions.

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An inexact optimization model for planning regional carbon capture, transportation and storage systems under uncertainty

Cited by 20 publications

References 29 publications

More Than a Pipe Dream: Expanding SimCCS Carbon Transportation Pipeline Optimization to Consider Environmental Tradeoffs

More Than a Pipe Dream: Expanding SimCCS Carbon Transportation Pipeline Optimization to Consider Environmental Tradeoffs

The Importance of Modeling Carbon Dioxide Transportation and Geologic Storage in Energy System Planning Tools

Scenario Analysis of Carbon Capture, Utilization (Particularly Producing Methane and Methanol), and Storage (CCUS) Systems

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