extended-abstract

Public Access

A New Science Gateway to Provide Decision Support on Carbon Capture and Storage Technologies

Authors:

Yinzhi Wang,

Sudhakar Pamidighantam,

Richard MiddletonAuthors Info & Claims

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

Article No.: 76, Pages 1 - 3

https://doi.org/10.1145/3219104.3229244

Published: 22 July 2018 Publication History

PDF eReader

Abstract

Carbon dioxide capture and storage (CCS) is a promising technology for mitigating climate change, and its implementation is considered critical to meeting threshold targets for global warming in the 21st century. We have developed a new science gateway application for the successful modeling software known as SimCCS that is used for evaluating complex, integrated CCS infrastructure. Using the Apache Airavata middleware and high-performance computing resources made available by the Extreme Science and Engineering Discovery Environment, we built the SimCCS Gateway to expand the tool's scalability for decision support and risk assessment. Case studies developed for evaluating a proposed CCS technology at Duke Energy's Gibson Station coal-fired power plant in southwest Indiana demonstrate its improved ability in data analysis as well as risk assessment at various uncertainty levels. Further work is continuing to expand the functionality of both web and desktop clients, and to develop an active user group community in research and industry via the SimCCS Gateway interface.

References

[1]

Middleton, R.S. and Bielicki, J.M., 2009. A scalable infrastructure model for carbon capture and storage: SimCCS. Energy Policy, 37(3), pp. 1052--1060.

Crossref

Google Scholar

[2]

Middleton, R.S., Keating, G.N., Stauffer, P.H., Jordan, A.B., Viswanathan, H.S., Kang, Q.J., Carey, J.W., Mulkey, M.L., Sullivan, E.J., Chu, S.P., Esposito, R., Meckel, T.A., 2012. The cross-scale science of CO2 capture and storage: from pore scale to regional scale. Energy & Environmental Science 5, 7328--7345.

Crossref

Google Scholar

[3]

Keating, G.N., Middleton, R.S., Stauffer, P.H., Viswanathan, H.S., Letelher, B.C., Pasqualini, D., Pawar, R.J., Wolfsberg, A.V., 2011. Mesoscale Carbon Sequestration Site Screening and CCS Infrastructure Analysis. Environmental Science & Technology 45, 215--222.

Crossref

Google Scholar

[4]

Marru, S., Gunathilake, L., Herath, C., Tangchaisin, P., Pierce, M., Mattmann, C., Singh, R., Gunarathne, T., Chinthaka, E., Gardler, R. and Slominski, A., 2011, November. Apache Airavata: a framework for distributed applications and computational workflows. In Proceedings of the 2011 ACM workshop on Gateway computing environments (pp. 21--28). ACM.

Digital Library

Google Scholar

[5]

Pierce, M.E., Marru, S., Gunathilake, L., Wijeratne, D.K., Singh, R., Wimalasena, C., Ratnayaka, S. and Pamidighantam, S., 2015. Apache Airavata: design and directions of a science gateway framework. Concurrency and Computation: Practice and Experience, 27(16), pp. 4282--4291.

Crossref

Google Scholar

[6]

Lawrence, K.A., Zentner, M., Wilkins-Diehr, N., Wernert, J.A., Pierce, M., Marru, S. and Michael, S., 2015. Science gateways today and tomorrow: positive perspectives of nearly 5000 members of the research community. Concurrency and Computation: Practice and Experience, 27(16), pp. 4252--4268.

Crossref

Google Scholar

Cited By

View all

Christie MMarru SAbeysinghe EUpeksha DPamidighantam SPaul Adithela SMathulla EBisht ARastogi SPierce M(2020)An extensible Django-based web portal for Apache AiravataPractice and Experience in Advanced Research Computing 2020: Catch the Wave10.1145/3311790.3396650(160-167)Online publication date: 26-Jul-2020
https://dl.acm.org/doi/10.1145/3311790.3396650
Calyam PWilkins‐Diehr NMiller MBrookes EArora RChourasia AJennewein DNandigam VDrew LaMar MCleveland SNewman GWang SZaslavsky ICianfrocco MEllett KTarboton DJeffery KZhao ZGonzález‐Aranda JPerri MTucker GCandela LKiss TGesing S(2020)Measuring success for a future vision: Defining impact in science gateways/virtual research environmentsConcurrency and Computation: Practice and Experience10.1002/cpe.609933:19Online publication date: 2-Dec-2020
https://doi.org/10.1002/cpe.6099

Index Terms

A New Science Gateway to Provide Decision Support on Carbon Capture and Storage Technologies
1. Information systems
  1. Information systems applications
    1. Decision support systems

Recommendations

Using the Jetstream Research Cloud to provide Science Gateway resources
CCGrid '17: Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

We describe the use of the Jetstream research-cloud, a purpose-built system with the goal of supporting "long-tail" research by providing a flexible, on-demand research infrastructure, to provide scalable back-end resources for science gateways. In ...
Computational carbon capture
e-Energy '14: Proceedings of the 5th international conference on Future energy systems

The separation of mixtures of volatile molecules presents a critical issue in the clean use of existing fuels and in the generation of alternative fuels. In particular separation of CO2 is at present one of the mayor barriers for large scale CO2 ...
A multi-timescale optimization method for integrated energy systems with carbon capture and accounting

As the goal of “double carbon”, integrated energy systems aiming at the development of low-carbon economy are developing rapidly, and carbon capture and other emission reduction technologies are gradually gaining more extensive development space. For ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

July 2018

652 pages

ISBN:9781450364461

DOI:10.1145/3219104

General Chair:
Sergiu Sanielevici
Pittsburgh Supercomputing Center

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2018

Check for updates

Author Tags

Qualifiers

Extended-abstract
Research
Refereed limited

Funding Sources

US-China Clean Energy Research Center, Advanced Coal Technology Consortium
National Science Foundation

Conference

PEARC '18

PEARC '18: Practice and Experience in Advanced Research Computing

July 22 - 26, 2018

PA, Pittsburgh, USA

Acceptance Rates

PEARC '18 Paper Acceptance Rate 79 of 123 submissions, 64%;

Overall Acceptance Rate 133 of 202 submissions, 66%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
329
Total Downloads

Downloads (Last 12 months)79
Downloads (Last 6 weeks)10

Reflects downloads up to 28 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Christie MMarru SAbeysinghe EUpeksha DPamidighantam SPaul Adithela SMathulla EBisht ARastogi SPierce M(2020)An extensible Django-based web portal for Apache AiravataPractice and Experience in Advanced Research Computing 2020: Catch the Wave10.1145/3311790.3396650(160-167)Online publication date: 26-Jul-2020
https://dl.acm.org/doi/10.1145/3311790.3396650
Calyam PWilkins‐Diehr NMiller MBrookes EArora RChourasia AJennewein DNandigam VDrew LaMar MCleveland SNewman GWang SZaslavsky ICianfrocco MEllett KTarboton DJeffery KZhao ZGonzález‐Aranda JPerri MTucker GCandela LKiss TGesing S(2020)Measuring success for a future vision: Defining impact in science gateways/virtual research environmentsConcurrency and Computation: Practice and Experience10.1002/cpe.609933:19Online publication date: 2-Dec-2020
https://doi.org/10.1002/cpe.6099

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Cited By

Index Terms

Recommendations

Using the Jetstream Research Cloud to provide Science Gateway resources

Computational carbon capture

A multi-timescale optimization method for integrated energy systems with carbon capture and accounting

Comments

Information

Published In

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations