MODELING OF THE WIND VELOCITY FIELD – RENEWABLE SOURCES OF ENERGY IN KRASNODAR REGION

<p><span style="font-family: TimesNewRomanPSMT; font-size: 10px; color: #231f20;">Assessment of the potential of wind energy in the Krasnodar region obtained by mapping the wind speed at the height of 50, 80 and 100 meters. The technique of modeling, based on the global experie...

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Main Authors: E. A. Kiseleva, E. N. Kiselev, A. V. Pogorelov
Format: Article
Language:English
Published: Laboratory of Complex Mapping, Faculty of Geography, MSU 2015-01-01
Series:InterCarto. InterGIS
Subjects:
Online Access:http://intercarto.msu.ru/jour/article/view/181
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author E. A. Kiseleva
E. N. Kiselev
A. V. Pogorelov
author_facet E. A. Kiseleva
E. N. Kiselev
A. V. Pogorelov
author_sort E. A. Kiseleva
collection DOAJ
description <p><span style="font-family: TimesNewRomanPSMT; font-size: 10px; color: #231f20;">Assessment of the potential of wind energy in the Krasnodar region obtained by mapping the wind speed at the height of 50, 80 and 100 meters. The technique of modeling, based on the global experience of assessing the potential of wind energy, including data on the average annual wind speed at the meteorological network and estimates of surface roughness . The algorithm for automated mapping. </span></p>
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spelling doaj.art-793ab5d23a32414d8795a293830593012022-12-21T22:38:45ZengLaboratory of Complex Mapping, Faculty of Geography, MSUInterCarto. InterGIS2414-91792414-92092015-01-0121126627310.24057/2414-9179-2015-1-21-266-273179MODELING OF THE WIND VELOCITY FIELD – RENEWABLE SOURCES OF ENERGY IN KRASNODAR REGIONE. A. Kiseleva0E. N. Kiselev1A. V. Pogorelov2Kuban State University, Krasnodar, RussiaKuban State University, Krasnodar, RussiaKuban State University, Krasnodar, Russia<p><span style="font-family: TimesNewRomanPSMT; font-size: 10px; color: #231f20;">Assessment of the potential of wind energy in the Krasnodar region obtained by mapping the wind speed at the height of 50, 80 and 100 meters. The technique of modeling, based on the global experience of assessing the potential of wind energy, including data on the average annual wind speed at the meteorological network and estimates of surface roughness . The algorithm for automated mapping. </span></p>http://intercarto.msu.ru/jour/article/view/181wind speedwind energymodelingGIS technologyKrasnodar regionland usesurface roughness
spellingShingle E. A. Kiseleva
E. N. Kiselev
A. V. Pogorelov
MODELING OF THE WIND VELOCITY FIELD – RENEWABLE SOURCES OF ENERGY IN KRASNODAR REGION
InterCarto. InterGIS
wind speed
wind energy
modeling
GIS technology
Krasnodar region
land use
surface roughness
title MODELING OF THE WIND VELOCITY FIELD – RENEWABLE SOURCES OF ENERGY IN KRASNODAR REGION
title_full MODELING OF THE WIND VELOCITY FIELD – RENEWABLE SOURCES OF ENERGY IN KRASNODAR REGION
title_fullStr MODELING OF THE WIND VELOCITY FIELD – RENEWABLE SOURCES OF ENERGY IN KRASNODAR REGION
title_full_unstemmed MODELING OF THE WIND VELOCITY FIELD – RENEWABLE SOURCES OF ENERGY IN KRASNODAR REGION
title_short MODELING OF THE WIND VELOCITY FIELD – RENEWABLE SOURCES OF ENERGY IN KRASNODAR REGION
title_sort modeling of the wind velocity field renewable sources of energy in krasnodar region
topic wind speed
wind energy
modeling
GIS technology
Krasnodar region
land use
surface roughness
url http://intercarto.msu.ru/jour/article/view/181
work_keys_str_mv AT eakiseleva modelingofthewindvelocityfieldrenewablesourcesofenergyinkrasnodarregion
AT enkiselev modelingofthewindvelocityfieldrenewablesourcesofenergyinkrasnodarregion
AT avpogorelov modelingofthewindvelocityfieldrenewablesourcesofenergyinkrasnodarregion