Design of hybrid power generation systems based on multi criteria decision analysis.
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| Title: | Design of hybrid power generation systems based on multi criteria decision analysis. |
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| Authors: | Alsayed, M.1, Cacciato, M.2, Scarcella, G.2 giuseppe.scarcella@dieei.unict.it, Scelba, G.2 |
| Source: | Solar Energy. Jul2014, Vol. 105, p548-560. 13p. |
| Subjects: | Hybrid power systems, Multiple criteria decision making, Environmental impact analysis, Optimal designs (Statistics), Sensitivity analysis, Energy economics |
| Abstract: | Highlights: [•] A new method for optimal design of hybrid power generation systems. [•] The approach allows to include environmental, economic and technical issues. [•] It enables decision makers to have a deep understanding of system performance. [•] It works under a wide range of criteria weights, uncertainty, and sensitivity cases. [•] The analytical procedure has been explained by considering different scenarios. [Copyright &y& Elsevier] |
| Copyright of Solar Energy is the property of Pergamon Press - An Imprint of Elsevier Science 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 96348319 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Design of hybrid power generation systems based on multi criteria decision analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alsayed%2C+M%2E%22">Alsayed, M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cacciato%2C+M%2E%22">Cacciato, M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Scarcella%2C+G%2E%22">Scarcella, G.</searchLink><relatesTo>2</relatesTo><i> giuseppe.scarcella@dieei.unict.it</i><br /><searchLink fieldCode="AR" term="%22Scelba%2C+G%2E%22">Scelba, G.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Solar+Energy%22">Solar Energy</searchLink>. Jul2014, Vol. 105, p548-560. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hybrid+power+systems%22">Hybrid power systems</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+impact+analysis%22">Environmental impact analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Optimal+designs+%28Statistics%29%22">Optimal designs (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+economics%22">Energy economics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: [•] A new method for optimal design of hybrid power generation systems. [•] The approach allows to include environmental, economic and technical issues. [•] It enables decision makers to have a deep understanding of system performance. [•] It works under a wide range of criteria weights, uncertainty, and sensitivity cases. [•] The analytical procedure has been explained by considering different scenarios. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Solar Energy is the property of Pergamon Press - An Imprint of Elsevier Science 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: 10.1016/j.solener.2014.03.011 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 548 Subjects: – SubjectFull: Hybrid power systems Type: general – SubjectFull: Multiple criteria decision making Type: general – SubjectFull: Environmental impact analysis Type: general – SubjectFull: Optimal designs (Statistics) Type: general – SubjectFull: Sensitivity analysis Type: general – SubjectFull: Energy economics Type: general Titles: – TitleFull: Design of hybrid power generation systems based on multi criteria decision analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alsayed, M. – PersonEntity: Name: NameFull: Cacciato, M. – PersonEntity: Name: NameFull: Scarcella, G. – PersonEntity: Name: NameFull: Scelba, G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 0038092X Numbering: – Type: volume Value: 105 Titles: – TitleFull: Solar Energy Type: main |
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