NEMS-CTS: A Model and Framework for Comprehensive Assessment of CCS and Infrastructure

Zelek, Charles; Geisbrecht, R. A.; Grant, T; Goudarzi, Lessly; Callahan, Kara; Babiuch, William

doi:10.7122/150377-ms

Cited by 2 publications

(1 citation statement)

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“…These assumed costs are different from one another because different assumptions are made to address the previously discussed complexity and uncertainty around CCS representation. Some of these assumptions include: using cost and capacity relationships that were estimated independent from one another (Lenox et al, 2013;Victor et al, 2018); using cost estimates made for specific locations to represent the cost of CO 2 transportation and geologic storage over entire regions (Zelek et al, 2012;National Energy Technology Laboratory, 2019); or assuming a CO 2 pipeline of constant length and diameter for a given power plant type to estimate CO 2 transportation cost (Electric Power Research Institute, 2020). Further, these are single-cost relationships for a given area (e.g., state, region) even though supply curves are the typical way cost-capacity relationships are defined for a given resource in energy system planning tools.…”

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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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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Cost curve of large-scale deployment of CO2-enhanced water recovery technology in modern coal chemical industries in China

Jiao

et al. 2019

International Journal of Greenhouse Gas Control

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NEMS-CTS: A Model and Framework for Comprehensive Assessment of CCS and Infrastructure

Cited by 2 publications

References 0 publications

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

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

Cost curve of large-scale deployment of CO2-enhanced water recovery technology in modern coal chemical industries in China

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