Spatial Analysis of Renewable Energy Sources

Renewable energy sources are expanding opportunities for industrial development and can boost economic growth and create new jobs. In all European Union (EU) countries, including Latvia, it is possible to use renewable energy resources cost-effectively. The world is now at the beginning of the globa...

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Autores principales:	Kacare Marika, Pakere Ieva, Grāvelsiņš Armands, Blumberga Dagnija
Formato:	article
Lenguaje:	EN
Publicado:	Sciendo 2021
Materias:	geographic information systems (gis) regional planning wind energy Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/29d060cd36e844b9b53c88bab9da8242
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id	oai:doaj.org-article:29d060cd36e844b9b53c88bab9da8242
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spelling	oai:doaj.org-article:29d060cd36e844b9b53c88bab9da82422021-12-05T14:11:11ZSpatial Analysis of Renewable Energy Sources2255-883710.2478/rtuect-2021-0065https://doaj.org/article/29d060cd36e844b9b53c88bab9da82422021-01-01T00:00:00Zhttps://doi.org/10.2478/rtuect-2021-0065https://doaj.org/toc/2255-8837Renewable energy sources are expanding opportunities for industrial development and can boost economic growth and create new jobs. In all European Union (EU) countries, including Latvia, it is possible to use renewable energy resources cost-effectively. The world is now at the beginning of the global energy transformation. Cost-effective renewable energy technologies provided an opportunity for sufficient development to reach ambitious climate targets of the EU Directive 2009/28/EC. Some systems are not only dependent on the interaction of many elements and dynamics over time, but they are also variable in space. In this context, energy production from local and renewable resources is one of the most relevant examples. It is characterized by many spatially variable elements, such as biomass availability, wind speed, solar radiation, location of power plants, transmission network infrastructure, energy demand, etc. It is crucial to explore the spatial distribution of resources to plan territorially-unified development of renewable energy and, consequently, promote efficient use of resources. This paper describes the data acquisition process of the spatial distribution of renewable energy sources. ArcGIS PRO and data collected from the various databases were used to describe the energy sectors according to resources, spheres of consumption and regions.Kacare MarikaPakere IevaGrāvelsiņš ArmandsBlumberga DagnijaSciendoarticlegeographic information systems (gis)regional planningwind energyRenewable energy sourcesTJ807-830ENEnvironmental and Climate Technologies, Vol 25, Iss 1, Pp 865-878 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geographic information systems (gis) regional planning wind energy Renewable energy sources TJ807-830
spellingShingle	geographic information systems (gis) regional planning wind energy Renewable energy sources TJ807-830 Kacare Marika Pakere Ieva Grāvelsiņš Armands Blumberga Dagnija Spatial Analysis of Renewable Energy Sources
description	Renewable energy sources are expanding opportunities for industrial development and can boost economic growth and create new jobs. In all European Union (EU) countries, including Latvia, it is possible to use renewable energy resources cost-effectively. The world is now at the beginning of the global energy transformation. Cost-effective renewable energy technologies provided an opportunity for sufficient development to reach ambitious climate targets of the EU Directive 2009/28/EC. Some systems are not only dependent on the interaction of many elements and dynamics over time, but they are also variable in space. In this context, energy production from local and renewable resources is one of the most relevant examples. It is characterized by many spatially variable elements, such as biomass availability, wind speed, solar radiation, location of power plants, transmission network infrastructure, energy demand, etc. It is crucial to explore the spatial distribution of resources to plan territorially-unified development of renewable energy and, consequently, promote efficient use of resources. This paper describes the data acquisition process of the spatial distribution of renewable energy sources. ArcGIS PRO and data collected from the various databases were used to describe the energy sectors according to resources, spheres of consumption and regions.
format	article
author	Kacare Marika Pakere Ieva Grāvelsiņš Armands Blumberga Dagnija
author_facet	Kacare Marika Pakere Ieva Grāvelsiņš Armands Blumberga Dagnija
author_sort	Kacare Marika
title	Spatial Analysis of Renewable Energy Sources
title_short	Spatial Analysis of Renewable Energy Sources
title_full	Spatial Analysis of Renewable Energy Sources
title_fullStr	Spatial Analysis of Renewable Energy Sources
title_full_unstemmed	Spatial Analysis of Renewable Energy Sources
title_sort	spatial analysis of renewable energy sources
publisher	Sciendo
publishDate	2021
url	https://doaj.org/article/29d060cd36e844b9b53c88bab9da8242
work_keys_str_mv	AT kacaremarika spatialanalysisofrenewableenergysources AT pakereieva spatialanalysisofrenewableenergysources AT gravelsinsarmands spatialanalysisofrenewableenergysources AT blumbergadagnija spatialanalysisofrenewableenergysources
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Spatial Analysis of Renewable Energy Sources

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