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Generation of wind speed and solar irradiance time series for power plants with storage
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Sizing renewable energy power plants with storage devices needs new resource assessment. Global amount of energy available has to be replaced by time series to depict the resource as a function of time. This paper introduces methodology to generate time series for wind speed and solar irradiance with a granularity between 10minutes and 1seconde. Ground measurements and macro-date from satellite imagery are analyzed and processed to obtain long-term site-specific time series. Because renewable energy forecasting is a growing concern, a second part of the work presents how to modify previously generated profiles in order to obtain forecasts with an expected error.

Place, publisher, year, edition, pages
2016. , 98 p.
Keyword [en]
renewable energy power plants, storage, forecast, time series, wind speed, irradiance, irradiation
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-181923OAI: oai:DiVA.org:kth-181923DiVA: diva2:901909
Educational program
Master of Science - Sustainable Energy Engineering
Presentation
2016-01-11, 14:27 (English)
Supervisors
Examiners
Available from: 2016-02-22 Created: 2016-02-09 Last updated: 2016-02-22Bibliographically approved

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fulltext(8919 kB)226 downloads
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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