hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Assessment of Wind Energy Potential for the Three Topographic Regions of Eritrea
Department of Mechanical Engineering, Mai-Nefhi College of Engineering and Technology, Asmara, Eritrea.
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS).ORCID iD: 0000-0001-9982-5317
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS).ORCID iD: 0000-0002-7525-6954
2020 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 13, no 7, article id 1846Article in journal (Refereed) Published
Abstract [en]

This paper presents the wind energy potential and wind characteristics for 25 wind sites in Eritrea, based on wind data from the years 2000–2005. The studied sites are distributed all over Eritrea, but can roughly be divided into three regions: coastal region, western lowlands, and central highlands. The coastal region sites have the highest potential for wind power. An uncertainty, due to extrapolating the wind speed from the 10-m measurements, should be noted. The year to year variations are typically small and, for the sites deemed as suitable for wind power, the seasonal variations are most prominent in the coastal region with a peak during the period November–March. Moreover, Weibull parameters, prevailing wind direction, and wind power density recalculated for 100 m above ground are presented for all 25 sites. Comparing the results to values from the web-based, large-scale dataset, the Global Wind Atlas (GWA), both mean wind speed and wind power density are typically higher for the measurements. The difference is especially large for the more complex-terrain central highland sites where GWA results are also likely to be more uncertain. The result of this study can be used to make preliminary assessments on possible power production potential at the given sites. © 2020 MDPI (Basel, Switzerland)

Place, publisher, year, edition, pages
Basel: MDPI, 2020. Vol. 13, no 7, article id 1846
Keywords [en]
wind power, wind energy, Eritrea, global wind atlas, renewable energy
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:hh:diva-41875DOI: 10.3390/en13071846OAI: oai:DiVA.org:hh-41875DiVA, id: diva2:1422979
Available from: 2020-04-10 Created: 2020-04-10 Last updated: 2020-04-14

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Möllerström, ErikOttermo, Fredric

Search in DiVA

By author/editor
Möllerström, ErikOttermo, Fredric
By organisation
The Rydberg Laboratory for Applied Sciences (RLAS)
In the same journal
Energies
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 7 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf