Generation of wind speed and solar irradiance time series for power plants with storage
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 wit...
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KTH, Energiteknik
2016
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ndltd-UPSALLA1-oai-DiVA.org-kth-1819232016-02-23T05:05:59ZGeneration of wind speed and solar irradiance time series for power plants with storageengMauger, LéoKTH, Energiteknik2016renewable energy power plantsstorageforecasttime serieswind speedirradianceirradiationSizing 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. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181923application/pdfinfo:eu-repo/semantics/openAccess |
| collection |
NDLTD |
| language |
English |
| format |
Others
|
| sources |
NDLTD |
| topic |
renewable energy power plants storage forecast time series wind speed irradiance irradiation |
| spellingShingle |
renewable energy power plants storage forecast time series wind speed irradiance irradiation Mauger, Léo Generation of wind speed and solar irradiance time series for power plants with storage |
| description |
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. |
| author |
Mauger, Léo |
| author_facet |
Mauger, Léo |
| author_sort |
Mauger, Léo |
| title |
Generation of wind speed and solar irradiance time series for power plants with storage |
| title_short |
Generation of wind speed and solar irradiance time series for power plants with storage |
| title_full |
Generation of wind speed and solar irradiance time series for power plants with storage |
| title_fullStr |
Generation of wind speed and solar irradiance time series for power plants with storage |
| title_full_unstemmed |
Generation of wind speed and solar irradiance time series for power plants with storage |
| title_sort |
generation of wind speed and solar irradiance time series for power plants with storage |
| publisher |
KTH, Energiteknik |
| publishDate |
2016 |
| url |
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181923 |
| work_keys_str_mv |
AT maugerleo generationofwindspeedandsolarirradiancetimeseriesforpowerplantswithstorage |
| _version_ |
1718196110385741824 |