Computational Research Challenges and Opportunities for the Optimization of Fossil Energy Power Generation System

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Emerging fossil energy power generation systems must operate with unprecedented efficiency and near-zero emissions, while optimizing profitably amid cost fluctuations for raw materials, finished products, and energy. To help address these challenges, the fossil energy industry will have to rely increasingly on the use advanced computational tools for modeling and simulating complex process systems. In this paper, we present the computational research challenges and opportunities for the optimization of fossil energy power generation systems across the plant lifecycle from process synthesis and design to plant operations. We also look beyond the plant gates to discuss research challenges and opportunities for ... continued below

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Zitney, S. E. June 1, 2007.

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Emerging fossil energy power generation systems must operate with unprecedented efficiency and near-zero emissions, while optimizing profitably amid cost fluctuations for raw materials, finished products, and energy. To help address these challenges, the fossil energy industry will have to rely increasingly on the use advanced computational tools for modeling and simulating complex process systems. In this paper, we present the computational research challenges and opportunities for the optimization of fossil energy power generation systems across the plant lifecycle from process synthesis and design to plant operations. We also look beyond the plant gates to discuss research challenges and opportunities for enterprise-wide optimization, including planning, scheduling, and supply chain technologies.

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Publisher - in Proceedings of the 32nd International Technical Conference on Coal Utilization & Fuel Systems: The Power of Coal, CD-ROM, Coal Technoogy Association, Gaithersburg, MD, ISBN 0-932066-32-1, paper 130, pp. 1226-1235 (10 pp.)

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  • 32nd International Technical Conference on Coal Utilization & Fuel Systems, Clearwater, FL, June 10-15, 2007

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  • Report No.: DOE/NETL-IR-2007-164
  • Grant Number: None cited
  • Office of Scientific & Technical Information Report Number: 915567
  • Archival Resource Key: ark:/67531/metadc889818

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  • June 1, 2007

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  • Sept. 22, 2016, 2:13 a.m.

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  • Nov. 4, 2016, 1:47 p.m.

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Zitney, S. E. Computational Research Challenges and Opportunities for the Optimization of Fossil Energy Power Generation System, article, June 1, 2007; (digital.library.unt.edu/ark:/67531/metadc889818/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.