Wind resource characterization in the Arabian Peninsula

Handle URI:
http://hdl.handle.net/10754/596964
Title:
Wind resource characterization in the Arabian Peninsula
Authors:
Yip, Chak Man Andrew; Gunturu, Udaya; Stenchikov, Georgiy L. ( 0000-0001-9033-4925 )
Abstract:
Wind energy is expected to contribute to alleviating the rise in energy demand in the Middle East that is driven by population growth and industrial development. However, variability and intermittency in the wind resource present significant challenges to grid integration of wind energy systems. These issues are rarely addressed in the literature of wind resource assessment in the Middle East due to sparse meteorological observations with varying record lengths. In this study, the wind field with consistent space–time resolution for over three decades at three hub heights (50m, 80m, 140m) over the whole Arabian Peninsula is constructed using the Modern Era Retrospective-Analysis for Research and Applications (MERRA) dataset. The wind resource is assessed at a higher spatial resolution with metrics of temporal variations in the wind than in prior studies. Previously unrecognized locations of interest with high wind abundance and low variability and intermittency have been identified in this study and confirmed by recent on-site observations. In particular, the western mountains of Saudi Arabia experience more abundant wind resource than most Red Sea coastal areas. The wind resource is more variable in coastal areas along the Arabian Gulf than their Red Sea counterparts at a similar latitude. Persistent wind is found along the coast of the Arabian Gulf.
KAUST Department:
Applied Mathematics and Computational Science Program; Physical Sciences and Engineering (PSE) Division
Citation:
Wind resource characterization in the Arabian Peninsula 2016, 164:826 Applied Energy
Publisher:
Elsevier BV
Journal:
Applied Energy
Issue Date:
28-Dec-2015
DOI:
10.1016/j.apenergy.2015.11.074
Type:
Article
ISSN:
03062619
Sponsors:
Research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST) and the Saudi Basic Industries Corporation (SABIC) under Grant No. RGC/3/1815-01. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. MERRA data used in this study have been provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center through the NASA GES DISC online archive. We thank the two anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions.
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S030626191501524X
Appears in Collections:
Articles; Applied Mathematics and Computational Science Program; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYip, Chak Man Andrewen
dc.contributor.authorGunturu, Udayaen
dc.contributor.authorStenchikov, Georgiy L.en
dc.date.accessioned2016-02-23T14:09:08Zen
dc.date.available2016-02-23T14:09:08Zen
dc.date.issued2015-12-28en
dc.identifier.citationWind resource characterization in the Arabian Peninsula 2016, 164:826 Applied Energyen
dc.identifier.issn03062619en
dc.identifier.doi10.1016/j.apenergy.2015.11.074en
dc.identifier.urihttp://hdl.handle.net/10754/596964en
dc.description.abstractWind energy is expected to contribute to alleviating the rise in energy demand in the Middle East that is driven by population growth and industrial development. However, variability and intermittency in the wind resource present significant challenges to grid integration of wind energy systems. These issues are rarely addressed in the literature of wind resource assessment in the Middle East due to sparse meteorological observations with varying record lengths. In this study, the wind field with consistent space–time resolution for over three decades at three hub heights (50m, 80m, 140m) over the whole Arabian Peninsula is constructed using the Modern Era Retrospective-Analysis for Research and Applications (MERRA) dataset. The wind resource is assessed at a higher spatial resolution with metrics of temporal variations in the wind than in prior studies. Previously unrecognized locations of interest with high wind abundance and low variability and intermittency have been identified in this study and confirmed by recent on-site observations. In particular, the western mountains of Saudi Arabia experience more abundant wind resource than most Red Sea coastal areas. The wind resource is more variable in coastal areas along the Arabian Gulf than their Red Sea counterparts at a similar latitude. Persistent wind is found along the coast of the Arabian Gulf.en
dc.description.sponsorshipResearch reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST) and the Saudi Basic Industries Corporation (SABIC) under Grant No. RGC/3/1815-01. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. MERRA data used in this study have been provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center through the NASA GES DISC online archive. We thank the two anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions.en
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S030626191501524Xen
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Applied Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Energy, 28 December 2015. DOI: 10.1016/j.apenergy.2015.11.074en
dc.subjectWind energyen
dc.subjectVariabilityen
dc.subjectIntermittencyen
dc.subjectMiddle Easten
dc.subjectResource assessmenten
dc.subjectReanalysisen
dc.titleWind resource characterization in the Arabian Peninsulaen
dc.typeArticleen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalApplied Energyen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorYip, Chak Man Andrewen
kaust.authorGunturu, Udayaen
kaust.authorStenchikov, Georgiy L.en
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