000 03251nam a22005415i 4500
001 978-1-4471-4649-0
003 DE-He213
005 20140220082806.0
007 cr nn 008mamaa
008 121116s2013 xxk| s |||| 0|eng d
020 _a9781447146490
_9978-1-4471-4649-0
024 7 _a10.1007/978-1-4471-4649-0
_2doi
050 4 _aTK1001-1841
072 7 _aTHRB
_2bicssc
072 7 _aSCI024000
_2bisacsh
082 0 4 _a621.042
_223
100 1 _aPaulescu, Marius.
_eauthor.
245 1 0 _aWeather Modeling and Forecasting of PV Systems Operation
_h[electronic resource] /
_cby Marius Paulescu, Eugenia Paulescu, Paul Gravila, Viorel Badescu.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXVIII, 355 p. 166 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aGreen Energy and Technology,
_x1865-3529
505 0 _aThe future of the energy mix paradigm -- Solar radiation measurements -- State of the sky assessment -- Stability of the radiative regime -- Modeling Solar Radiation at the Earth Surface -- Time series forecasting -- Fuzzy logic approaches -- Air temperature based models -- Outdoor operations of PV systems -- Forecasting the power output of PV systems -- Perspectives.
520 _aIn the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization.
650 0 _aMeteorology.
650 0 _aEngineering mathematics.
650 0 _aRenewable energy sources.
650 1 4 _aEnergy.
650 2 4 _aEnergy Harvesting.
650 2 4 _aRenewable and Green Energy.
650 2 4 _aEnvironmental Monitoring/Analysis.
650 2 4 _aMeteorology/Climatology.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aMeteorology/Climatology.
700 1 _aPaulescu, Eugenia.
_eauthor.
700 1 _aGravila, Paul.
_eauthor.
700 1 _aBadescu, Viorel.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447146483
830 0 _aGreen Energy and Technology,
_x1865-3529
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-4649-0
912 _aZDB-2-ENE
999 _c94672
_d94672