Wind Field and Solar Radiation Characterization and Forecasting A Numerical Approach for Complex Terrain /

In addition to describing core concepts and principles, this book reveals professional methodologies and tools used by national agencies and private corporations to predict sites' potential for wind and solar power generation. Each chapter focuses on a different issue, showing readers the corre...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Perez, Richard (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Green Energy and Technology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Wind Field and Solar Radiation Characterization and Forecasting  |h [electronic resource] :  |b A Numerical Approach for Complex Terrain /  |c edited by Richard Perez. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XVI, 257 p. 120 illus., 96 illus. in color.  |b online resource. 
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347 |a text file  |b PDF  |2 rda 
490 1 |a Green Energy and Technology,  |x 1865-3529 
505 0 |a Part I: Analysis and Characterization of Geographical and Meteorological Data -- Part II: Wind Field Diagnostic and Forecasting -- Part III: Solar Radiation Diagnostic and Forecasting. 
520 |a In addition to describing core concepts and principles, this book reveals professional methodologies and tools used by national agencies and private corporations to predict sites' potential for wind and solar power generation. Each chapter focuses on a different issue, showing readers the corresponding methodology, as well as examples of how to apply the techniques described. These techniques are explained with step-by-step guides that demonstrate how environmental variables in complex terrains can be characterized and forecasted. The authors present an adaptive finite element mass-consistent model, which computes a diagnostic wind field in the three-dimensional area of interest using observed wind data from measurement stations - data which is then interpolated using a physical model of the wind field in the boundary layer. An ensemble method is presented based on the perturbation of the numerical weather prediction models' results. The book goes on to explain solar radiation characterization and forecasting. Solar radiation and electrical power generation temporal and spatial variability are discussed and modelled. Different statistical methods are presented in order to improve solar radiation forecasting using ground measurement, numerical weather predictions (NWPs) and satellite-derived data. This book is focused on both probabilistic and point forecast explaining different models and methodologies to improve the forecasting. The results obtained from various simulations around the world are presented in tables. Finally, the book explains a possible methodology to develop a Solar Map taking into account solar radiation, terrain surface conditions and cast shadows. As such, the book provides an overview of the concepts, principles and practices involved in the treatment of environmental variables related to solar radiation or wind fields, especially when complex terrains are involved, offering useful resources for students and researchers alike. It also equips professionals with the methodologies and tools needed to construct environmental variable maps and conduct forecasting for solar radiation and wind fields. 
650 0 |a Renewable energy resources. 
650 0 |a Environmental sciences. 
650 0 |a Meteorology. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 1 4 |a Renewable and Green Energy.  |0 http://scigraph.springernature.com/things/product-market-codes/111000 
650 2 4 |a Math. Appl. in Environmental Science.  |0 http://scigraph.springernature.com/things/product-market-codes/U24005 
650 2 4 |a Meteorology.  |0 http://scigraph.springernature.com/things/product-market-codes/312000 
650 2 4 |a Mathematical and Computational Engineering.  |0 http://scigraph.springernature.com/things/product-market-codes/T11006 
650 2 4 |a Applications of Mathematics.  |0 http://scigraph.springernature.com/things/product-market-codes/M13003 
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776 0 8 |i Printed edition:  |z 9783319768755 
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