An Improved Mathematical Formulation For the Carbon Capture and Storage (CCS) Problem
| Abstract | Carbon Capture and Storage (CCS) is a climate stabilization strategy that prevents CO2 emissions from entering the atmosphere. Despite its benefits, impactful CCS projects require large investments in infrastructure, which could deter governments from implementing this strategy. In this sense, the development of innovative tools to support large-scale cost-efficient CCS deployment decisions is critical for climate change mitigation. This thesis proposes an improved mathematical formulation for the scalable infrastructure model for CCS (SimCCS), whose main objective is to design a minimum-cost pipe network to capture, transport, and store a target amount of CO2. Model decisions include source, reservoir, and pipe selection, as well as CO2 am... (more) |
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| Created Date | 2017 |
| Contributor | Lobo, Loy Joseph (Author) / Sefair, Jorge A (Advisor) / Escobedo, Adolfo (Committee member) / Kuby, Michael (Committee member) / Middleton, Richard (Committee member) / Arizona State University (Publisher) |
| Subject | Operations research / Capacitated Fixed charge network flow problems / Carbon capture and storage / SimCCS / Strengthening the linear relaxation / Valid inequalities |
| Type | Masters Thesis |
| Extent | 57 pages |
| Language | English |
| Copyright |
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| Reuse Permissions | All Rights Reserved |
| Note | Masters Thesis Industrial Engineering 2017 |
| Collaborating Institutions | Graduate College / ASU Library |
| Additional Formats | MODS / OAI Dublin Core / RIS |
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