Assessment of wind energy potential of Bauchi in North-East, Nigeria

Twenty year (1995-2014) monthly mean wind speed and monthly mean wind direction data of Bauchi location were obtained from the Nigeria Meteorological Agency (NIMET) Lagos for the purpose of this study. The data was measured at 3 m height. In order to evaluate wind characteristics, statistical models...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IOP conference series. Earth and environmental science 2021-04, Vol.730 (1), p.12008
Hauptverfasser: Igwebuike, M N, Ezeugwu, C I
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 12008
container_title IOP conference series. Earth and environmental science
container_volume 730
creator Igwebuike, M N
Ezeugwu, C I
description Twenty year (1995-2014) monthly mean wind speed and monthly mean wind direction data of Bauchi location were obtained from the Nigeria Meteorological Agency (NIMET) Lagos for the purpose of this study. The data was measured at 3 m height. In order to evaluate wind characteristics, statistical models such as Weibull and Rayleigh distribution were employed in the assessment of wind energy potential. It was observed that Weibull distribution suited the wind speed data more than Rayleigh. Wind rose plot of the monthly wind direction was plotted to determine the best possible direction to mount wind turbine in Bauchi station. Wind characteristics obtained at 3 m height were extrapolated for higher altitudes.
doi_str_mv 10.1088/1755-1315/730/1/012008
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2535625001</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2535625001</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2328-8a31d9cd9f84af510427f05525431c3c95ff811ffebcd7841f047d1a450122003</originalsourceid><addsrcrecordid>eNo9kFtLAzEQhYMoWKt_QQK-uu5MLk32sWq9QKkv-hxiNmlT2t2abJH-e3ep9GkOcw4znI-QW4QHBK1LVFIWyFGWikOJJSAD0GdkdDLOTxrUJbnKeQ0wUYJXI_I8zdnnvPVNR9tAf2NTU9_4tDzQXdv122g3g_Fo924VaWzook3dqpjZ3N3TRVz6FO01uQh2k_3N_xyTr5fZ59NbMf94fX-azgvHONOFthzrytVV0MIGiSCYCiAlk4Kj466SIWjEEPy3q5UWGECoGq2QfaW-Ex-Tu-PdXWp_9j53Zt3uU9O_NExyOWESAPvU5Jhyqc05-WB2KW5tOhgEMxAzAwwzgDE9MYPmSIz_Aa2cXDU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2535625001</pqid></control><display><type>article</type><title>Assessment of wind energy potential of Bauchi in North-East, Nigeria</title><source>IOP Publishing Free Content</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>IOPscience extra</source><creator>Igwebuike, M N ; Ezeugwu, C I</creator><creatorcontrib>Igwebuike, M N ; Ezeugwu, C I</creatorcontrib><description>Twenty year (1995-2014) monthly mean wind speed and monthly mean wind direction data of Bauchi location were obtained from the Nigeria Meteorological Agency (NIMET) Lagos for the purpose of this study. The data was measured at 3 m height. In order to evaluate wind characteristics, statistical models such as Weibull and Rayleigh distribution were employed in the assessment of wind energy potential. It was observed that Weibull distribution suited the wind speed data more than Rayleigh. Wind rose plot of the monthly wind direction was plotted to determine the best possible direction to mount wind turbine in Bauchi station. Wind characteristics obtained at 3 m height were extrapolated for higher altitudes.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/730/1/012008</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Mathematical models ; Rayleigh distribution ; Statistical analysis ; Statistical models ; Turbines ; Weibull distribution ; Wind direction ; Wind power ; Wind speed ; Wind turbines</subject><ispartof>IOP conference series. Earth and environmental science, 2021-04, Vol.730 (1), p.12008</ispartof><rights>2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2328-8a31d9cd9f84af510427f05525431c3c95ff811ffebcd7841f047d1a450122003</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Igwebuike, M N</creatorcontrib><creatorcontrib>Ezeugwu, C I</creatorcontrib><title>Assessment of wind energy potential of Bauchi in North-East, Nigeria</title><title>IOP conference series. Earth and environmental science</title><description>Twenty year (1995-2014) monthly mean wind speed and monthly mean wind direction data of Bauchi location were obtained from the Nigeria Meteorological Agency (NIMET) Lagos for the purpose of this study. The data was measured at 3 m height. In order to evaluate wind characteristics, statistical models such as Weibull and Rayleigh distribution were employed in the assessment of wind energy potential. It was observed that Weibull distribution suited the wind speed data more than Rayleigh. Wind rose plot of the monthly wind direction was plotted to determine the best possible direction to mount wind turbine in Bauchi station. Wind characteristics obtained at 3 m height were extrapolated for higher altitudes.</description><subject>Mathematical models</subject><subject>Rayleigh distribution</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Turbines</subject><subject>Weibull distribution</subject><subject>Wind direction</subject><subject>Wind power</subject><subject>Wind speed</subject><subject>Wind turbines</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9kFtLAzEQhYMoWKt_QQK-uu5MLk32sWq9QKkv-hxiNmlT2t2abJH-e3ep9GkOcw4znI-QW4QHBK1LVFIWyFGWikOJJSAD0GdkdDLOTxrUJbnKeQ0wUYJXI_I8zdnnvPVNR9tAf2NTU9_4tDzQXdv122g3g_Fo924VaWzook3dqpjZ3N3TRVz6FO01uQh2k_3N_xyTr5fZ59NbMf94fX-azgvHONOFthzrytVV0MIGiSCYCiAlk4Kj466SIWjEEPy3q5UWGECoGq2QfaW-Ex-Tu-PdXWp_9j53Zt3uU9O_NExyOWESAPvU5Jhyqc05-WB2KW5tOhgEMxAzAwwzgDE9MYPmSIz_Aa2cXDU</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Igwebuike, M N</creator><creator>Ezeugwu, C I</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20210401</creationdate><title>Assessment of wind energy potential of Bauchi in North-East, Nigeria</title><author>Igwebuike, M N ; Ezeugwu, C I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2328-8a31d9cd9f84af510427f05525431c3c95ff811ffebcd7841f047d1a450122003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Mathematical models</topic><topic>Rayleigh distribution</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Turbines</topic><topic>Weibull distribution</topic><topic>Wind direction</topic><topic>Wind power</topic><topic>Wind speed</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Igwebuike, M N</creatorcontrib><creatorcontrib>Ezeugwu, C I</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Igwebuike, M N</au><au>Ezeugwu, C I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of wind energy potential of Bauchi in North-East, Nigeria</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><date>2021-04-01</date><risdate>2021</risdate><volume>730</volume><issue>1</issue><spage>12008</spage><pages>12008-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>Twenty year (1995-2014) monthly mean wind speed and monthly mean wind direction data of Bauchi location were obtained from the Nigeria Meteorological Agency (NIMET) Lagos for the purpose of this study. The data was measured at 3 m height. In order to evaluate wind characteristics, statistical models such as Weibull and Rayleigh distribution were employed in the assessment of wind energy potential. It was observed that Weibull distribution suited the wind speed data more than Rayleigh. Wind rose plot of the monthly wind direction was plotted to determine the best possible direction to mount wind turbine in Bauchi station. Wind characteristics obtained at 3 m height were extrapolated for higher altitudes.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/730/1/012008</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1755-1307
ispartof IOP conference series. Earth and environmental science, 2021-04, Vol.730 (1), p.12008
issn 1755-1307
1755-1315
language eng
recordid cdi_proquest_journals_2535625001
source IOP Publishing Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra
subjects Mathematical models
Rayleigh distribution
Statistical analysis
Statistical models
Turbines
Weibull distribution
Wind direction
Wind power
Wind speed
Wind turbines
title Assessment of wind energy potential of Bauchi in North-East, Nigeria
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T01%3A49%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20wind%20energy%20potential%20of%20Bauchi%20in%20North-East,%20Nigeria&rft.jtitle=IOP%20conference%20series.%20Earth%20and%20environmental%20science&rft.au=Igwebuike,%20M%20N&rft.date=2021-04-01&rft.volume=730&rft.issue=1&rft.spage=12008&rft.pages=12008-&rft.issn=1755-1307&rft.eissn=1755-1315&rft_id=info:doi/10.1088/1755-1315/730/1/012008&rft_dat=%3Cproquest_cross%3E2535625001%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2535625001&rft_id=info:pmid/&rfr_iscdi=true