Optimal Spatial Deployment of CO2 Capture and Storage Given a Price on Carbon

Michael J. Kuby, Jeffrey M. Bielicki and Richard S. Middleton
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Michael J. Kuby: School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA, mikekuby@asu.edu
Jeffrey M. Bielicki: Center for Science, Technology, and Public Policy, Humphrey School, University of Minnesota, Minneapolis, MN, USA
Richard S. Middleton: Los Alamos National Laboratory, Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA

International Regional Science Review, 2011, vol. 34, issue 3, 285-305

Abstract: Carbon dioxide capture and storage (CCS) links together technologies that separate carbon dioxide (CO 2 ) from fixed point source emissions and transport it by pipeline to geologic reservoirs into which it is injected underground for long-term containment. Previously, models have been developed to minimize the cost of a CCS infrastructure network that captures a given amount of CO 2 . The CCS process can be costly, however, and large-scale implementation by industry will require government regulations and economic incentives. The incentives can price CO 2 emissions through a tax or a cap-and-trade system. This paper extends the earlier mixed-integer linear programming model to endogenously determine the optimal quantity of CO 2 to capture and optimize the various components of a CCS infrastructure network, given the price per tonne to emit CO 2 into the atmosphere. The spatial decision support system first generates a candidate pipeline network and then minimizes the total cost of capturing, transporting, storing, or emitting CO 2 . To illustrate how the new model based on CO 2 prices works, it is applied to a case study of CO 2 sources, reservoirs, and candidate pipeline links and diameters in California.

Keywords: pipeline; network; optimization; model; infrastructure; location; CCS (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:34:y:2011:i:3:p:285-305

DOI: 10.1177/0160017610397191

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