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Title: SimCCS: An open-source tool for optimizing CO2 capture, transport, and storage infrastructure

Abstract

Commercial-scale carbon capture and storage (CCS) technology will involve deploying infrastructure on a massive and costly scale. This effort will require careful and comprehensive planning to ensure that capture locations, storage sites, and the dedicated CO2 distribution pipelines are selected in a robust and cost-effective manner. Presented in 2009, SimCCS is an optimization model for integrated system design that enables researchers, stakeholders, and policy makers to design CCS infrastructure networks. SimCCS2.0 is a complete, ground-up redesign that is now a portable software package, useable and shareable by the CCS research, industrial, policy, and public communities. SimCCS2.0 integrates multiple new capabilities including a refined optimization model, novel candidate network generation techniques, and optional integration with high-performance computing platforms. Accessing user-provided CO2 source, sink, and transportation data, SimCCS2.0 creates candidate transportation routes and formalizes an optimization problem that determines the most cost-effective CCS system design. This optimization problem is further solved either through a high-performance computing interface, or through third-party software on a local desktop computing platform. Finally, SimCCS2.0 employs an open-access geographic information system framework to enable analysis and visualization capabilities. SimCCS2.0 is written in Java and is publicly available via GitHub to encourage collaboration, modification, and community development.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [1];  [3]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Montana State Univ., Bozeman, MT (United States)
  3. Indiana Univ., Bloomington, IN (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Southern States Energy Board, Peachtree Corners, GA (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1819132
Alternate Identifier(s):
OSTI ID: 1575823; OSTI ID: 1623282
Report Number(s):
LA-UR-18-20030; DOE-SSEB-0029465-44
Journal ID: ISSN 1364-8152
Grant/Contract Number:  
89233218CNA000001; FE0029465; FE0029164; FE0029280
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Environmental Modelling and Software
Additional Journal Information:
Journal Volume: 124; Journal Issue: C; Journal ID: ISSN 1364-8152
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; CO2 capture and storage (CCS); SimCCS; infrastructure optimization; mixed integer-linear programming Science Gateway

Citation Formats

Middleton, Richard S., Yaw, Sean P., Hoover, Brendan A., and Ellett, Kevin M. SimCCS: An open-source tool for optimizing CO2 capture, transport, and storage infrastructure. United States: N. p., 2019. Web. doi:10.1016/j.envsoft.2019.104560.
Middleton, Richard S., Yaw, Sean P., Hoover, Brendan A., & Ellett, Kevin M. SimCCS: An open-source tool for optimizing CO2 capture, transport, and storage infrastructure. United States. https://doi.org/10.1016/j.envsoft.2019.104560
Middleton, Richard S., Yaw, Sean P., Hoover, Brendan A., and Ellett, Kevin M. 2019. "SimCCS: An open-source tool for optimizing CO2 capture, transport, and storage infrastructure". United States. https://doi.org/10.1016/j.envsoft.2019.104560. https://www.osti.gov/servlets/purl/1819132.
@article{osti_1819132,
title = {SimCCS: An open-source tool for optimizing CO2 capture, transport, and storage infrastructure},
author = {Middleton, Richard S. and Yaw, Sean P. and Hoover, Brendan A. and Ellett, Kevin M.},
abstractNote = {Commercial-scale carbon capture and storage (CCS) technology will involve deploying infrastructure on a massive and costly scale. This effort will require careful and comprehensive planning to ensure that capture locations, storage sites, and the dedicated CO2 distribution pipelines are selected in a robust and cost-effective manner. Presented in 2009, SimCCS is an optimization model for integrated system design that enables researchers, stakeholders, and policy makers to design CCS infrastructure networks. SimCCS2.0 is a complete, ground-up redesign that is now a portable software package, useable and shareable by the CCS research, industrial, policy, and public communities. SimCCS2.0 integrates multiple new capabilities including a refined optimization model, novel candidate network generation techniques, and optional integration with high-performance computing platforms. Accessing user-provided CO2 source, sink, and transportation data, SimCCS2.0 creates candidate transportation routes and formalizes an optimization problem that determines the most cost-effective CCS system design. This optimization problem is further solved either through a high-performance computing interface, or through third-party software on a local desktop computing platform. Finally, SimCCS2.0 employs an open-access geographic information system framework to enable analysis and visualization capabilities. SimCCS2.0 is written in Java and is publicly available via GitHub to encourage collaboration, modification, and community development.},
doi = {10.1016/j.envsoft.2019.104560},
url = {https://www.osti.gov/biblio/1819132}, journal = {Environmental Modelling and Software},
issn = {1364-8152},
number = C,
volume = 124,
place = {United States},
year = {2019},
month = {10}
}

Journal Article:

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Cited by: 2 works
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Figures / Tables:

Figure 1 Figure 1: Integrated decision support capability of SimCCS including capture, storage, and network engineering and economic analysis driving CCS infrastructure deployment decisions.

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Works referenced in this record:

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Works referencing / citing this record:

CostMAP : an open-source software package for developing cost surfaces using a multi-scale search kernel
journal, October 2019


Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.