Tools for PV (photovoltaic) plant operators: Nowcasting of passing clouds
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00391554" target="_blank" >RIV/67985807:_____/13:00391554 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.energy.2013.03.005" target="_blank" >http://dx.doi.org/10.1016/j.energy.2013.03.005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.energy.2013.03.005" target="_blank" >10.1016/j.energy.2013.03.005</a>
Alternative languages
Result language
angličtina
Original language name
Tools for PV (photovoltaic) plant operators: Nowcasting of passing clouds
Original language description
The response time of a PV (photovoltaic) plant is very short and its output power follows the abrupt change in solar irradiance level due to alternate shadow by clouds. The sunshine number (SSN) is a Boolean quantity stating whether the sun is covered byclouds or not, thus being an appropriate parameter to predict the occurrence of direct solar radiation at ground level. Various ARIMA (Autoregressive Integrated Moving Average) models for SSN nowcasting are inferred and discussed in this paper. Actinometric and meteorological data measured at 15 s lag during June 2010 in Timisoara (Romania) are used. The forecasting accuracy is studied as a function of season, of the procedure used to obtain a binary time series and of the type of white noise distribution, respectively. It is demonstrated that the ARIMA(0,1,0) model forecasts SSN with the same accuracy as higher order ARIMA models. The forecasting accuracy decreases when the instability of the radiative regime increases.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LD12009" target="_blank" >LD12009: Advanced methods for energy production forecasting by photovoltaic systems using high resolution NWP models</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Energy
ISSN
0360-5442
e-ISSN
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Volume of the periodical
54
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
104-112
UT code for WoS article
000319371600010
EID of the result in the Scopus database
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