Research and Development Priorities for Energy Islanding of Military and Industrial Installations.
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| Title: | Research and Development Priorities for Energy Islanding of Military and Industrial Installations. |
|---|---|
| Authors: | Hamilton, Michelle C., Lambert, James H.1, Keisler, Jeffrey M.2, Holcomb, Franklin H.3, Linkov, Igor4 |
| Source: | Journal of Infrastructure Systems. Sep2013, Vol. 19 Issue 3, p297-305. 9p. |
| Subjects: | Electric power distribution grids, Robust control, Investment risk, Time perspective, Electric power distribution equipment, Technology assessment |
| Abstract: | Research and development for energy systems (e.g., smart and secure microgrids for industrial and military installations and solar cogeneration technologies) must account for deep uncertainties and emergent conditions including economic, regulatory, technological, mission, demographic, and environmental or ecological, among others. Deep uncertainties involve structural and qualitative perspectives or trends that change the game. Recent literature has identified emergent conditions and deep uncertainties that are most influential to decision criteria priorities among existing energy assets and systems. This paper introduces a practical method to help prioritize strategic energy research and development investments and minimize opportunity loss or program risk for investments with a long time horizon. There are a number of interesting observations that can be perceived from this method including robustness, scenario influence, risk, and opportunity. The method is recommended to help achieve consensus of program managers, installation commanders, energy managers, technology vendors, urban planners, and customers and tenants. A quantitative demonstration is provided that addresses five scenarios of deep uncertainty, ten performance criteria, and six investment portfolios. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Infrastructure Systems is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 93647295 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research and Development Priorities for Energy Islanding of Military and Industrial Installations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hamilton%2C+Michelle+C%2E%22">Hamilton, Michelle C.</searchLink><br /><searchLink fieldCode="AR" term="%22Lambert%2C+James+H%2E%22">Lambert, James H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Keisler%2C+Jeffrey+M%2E%22">Keisler, Jeffrey M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Holcomb%2C+Franklin+H%2E%22">Holcomb, Franklin H.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Linkov%2C+Igor%22">Linkov, Igor</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Infrastructure+Systems%22">Journal of Infrastructure Systems</searchLink>. Sep2013, Vol. 19 Issue 3, p297-305. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Investment+risk%22">Investment risk</searchLink><br /><searchLink fieldCode="DE" term="%22Time+perspective%22">Time perspective</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+equipment%22">Electric power distribution equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+assessment%22">Technology assessment</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Research and development for energy systems (e.g., smart and secure microgrids for industrial and military installations and solar cogeneration technologies) must account for deep uncertainties and emergent conditions including economic, regulatory, technological, mission, demographic, and environmental or ecological, among others. Deep uncertainties involve structural and qualitative perspectives or trends that change the game. Recent literature has identified emergent conditions and deep uncertainties that are most influential to decision criteria priorities among existing energy assets and systems. This paper introduces a practical method to help prioritize strategic energy research and development investments and minimize opportunity loss or program risk for investments with a long time horizon. There are a number of interesting observations that can be perceived from this method including robustness, scenario influence, risk, and opportunity. The method is recommended to help achieve consensus of program managers, installation commanders, energy managers, technology vendors, urban planners, and customers and tenants. A quantitative demonstration is provided that addresses five scenarios of deep uncertainty, ten performance criteria, and six investment portfolios. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Infrastructure Systems is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1061/(ASCE)IS.1943-555X.0000133 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 297 Subjects: – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Robust control Type: general – SubjectFull: Investment risk Type: general – SubjectFull: Time perspective Type: general – SubjectFull: Electric power distribution equipment Type: general – SubjectFull: Technology assessment Type: general Titles: – TitleFull: Research and Development Priorities for Energy Islanding of Military and Industrial Installations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hamilton, Michelle C. – PersonEntity: Name: NameFull: Lambert, James H. – PersonEntity: Name: NameFull: Keisler, Jeffrey M. – PersonEntity: Name: NameFull: Holcomb, Franklin H. – PersonEntity: Name: NameFull: Linkov, Igor IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 10760342 Numbering: – Type: volume Value: 19 – Type: issue Value: 3 Titles: – TitleFull: Journal of Infrastructure Systems Type: main |
| ResultId | 1 |
