A Geospatial Database for Wind and Solar Energy Applications: The Kingdom of Bahrain Study Case
This research is aimed at designing, implementing, and testing a geospatial database for wind and solar energy applications in the Kingdom of Bahrain. All decision making needed to determine economic feasibility and establish site location for wind turbines or solar panels depends primarily on geosp...
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doaj-f523ef1709af487ba3247c40ab458a5c2021-03-02T07:34:38ZengEDP SciencesE3S Web of Conferences2267-12422017-01-01230800110.1051/e3sconf/20172308001e3sconf_wrec2017_08001A Geospatial Database for Wind and Solar Energy Applications: The Kingdom of Bahrain Study CaseAl-Joburi KhalilDahman NidalThis research is aimed at designing, implementing, and testing a geospatial database for wind and solar energy applications in the Kingdom of Bahrain. All decision making needed to determine economic feasibility and establish site location for wind turbines or solar panels depends primarily on geospatial feature theme information and non-spatial (attribute) data for wind, solar, rainfall, temperature and weather characteristics of a particular region. Spatial data includes, but is not limited to, digital elevation, slopes, land use, zonings, parks, population density, road utility maps, and other related information. Digital elevations for over 450,000 spot at 50 m spatial horizontal resolution plus field surveying and GPS (at selected locations) was obtained from the Surveying and Land Registration Bureau (SLRB). Road, utilities, and population density are obtained from the Central Information Organization (CIO). Land use zoning, recreational parks, and other data are obtained from the Ministry of Municipalities and Agricultural Affairs. Wind, solar, humidity, rainfall, and temperature data are obtained from the Ministry of Transportation, Civil Aviation Section. LandSat Satellite and others images are obtained from NASA and online sources respectively. The collected geospatial data was geo-referenced to Ain el-Abd UTM Zone 39 North. 3D Digital Elevation Model (DEM)-50 m spatial resolutions was created using SLRB spot elevations. Slope and aspect maps were generate based on the DEM. Supervised image classification to identify open spaces was performed utilizing satellite images. Other geospatial data was converted to raster format with the same cell resolution. Non-spatial data are entered as an attribute to spatial features. To eliminate ambiguous solution, multi-criteria GIS model is developed based on, vector (discrete point, line, and polygon representations) as well as raster model (continuous representation). The model was tested at the Al-Areen proposed project, a relatively small area (15 km2). Optimum site spatial location for the location of wind turbines and solar panels was determined and initial results indicates that the combination of wind and solar energy would be sufficient for the project to meet the energy demand at the present per capita consummation rate..https://doi.org/10.1051/e3sconf/20172308001BahrainGISrenewable energyMulti criteria modeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Al-Joburi Khalil Dahman Nidal |
spellingShingle |
Al-Joburi Khalil Dahman Nidal A Geospatial Database for Wind and Solar Energy Applications: The Kingdom of Bahrain Study Case E3S Web of Conferences Bahrain GIS renewable energy Multi criteria modeling |
author_facet |
Al-Joburi Khalil Dahman Nidal |
author_sort |
Al-Joburi Khalil |
title |
A Geospatial Database for Wind and Solar Energy Applications: The Kingdom of Bahrain Study Case |
title_short |
A Geospatial Database for Wind and Solar Energy Applications: The Kingdom of Bahrain Study Case |
title_full |
A Geospatial Database for Wind and Solar Energy Applications: The Kingdom of Bahrain Study Case |
title_fullStr |
A Geospatial Database for Wind and Solar Energy Applications: The Kingdom of Bahrain Study Case |
title_full_unstemmed |
A Geospatial Database for Wind and Solar Energy Applications: The Kingdom of Bahrain Study Case |
title_sort |
geospatial database for wind and solar energy applications: the kingdom of bahrain study case |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2017-01-01 |
description |
This research is aimed at designing, implementing, and testing a geospatial database for wind and solar energy applications in the Kingdom of Bahrain. All decision making needed to determine economic feasibility and establish site location for wind turbines or solar panels depends primarily on geospatial feature theme information and non-spatial (attribute) data for wind, solar, rainfall, temperature and weather characteristics of a particular region. Spatial data includes, but is not limited to, digital elevation, slopes, land use, zonings, parks, population density, road utility maps, and other related information. Digital elevations for over 450,000 spot at 50 m spatial horizontal resolution plus field surveying and GPS (at selected locations) was obtained from the Surveying and Land Registration Bureau (SLRB). Road, utilities, and population density are obtained from the Central Information Organization (CIO). Land use zoning, recreational parks, and other data are obtained from the Ministry of Municipalities and Agricultural Affairs. Wind, solar, humidity, rainfall, and temperature data are obtained from the Ministry of Transportation, Civil Aviation Section. LandSat Satellite and others images are obtained from NASA and online sources respectively. The collected geospatial data was geo-referenced to Ain el-Abd UTM Zone 39 North. 3D Digital Elevation Model (DEM)-50 m spatial resolutions was created using SLRB spot elevations. Slope and aspect maps were generate based on the DEM. Supervised image classification to identify open spaces was performed utilizing satellite images. Other geospatial data was converted to raster format with the same cell resolution. Non-spatial data are entered as an attribute to spatial features. To eliminate ambiguous solution, multi-criteria GIS model is developed based on, vector (discrete point, line, and polygon representations) as well as raster model (continuous representation). The model was tested at the Al-Areen proposed project, a relatively small area (15 km2). Optimum site spatial location for the location of wind turbines and solar panels was determined and initial results indicates that the combination of wind and solar energy would be sufficient for the project to meet the energy demand at the present per capita consummation rate.. |
topic |
Bahrain GIS renewable energy Multi criteria modeling |
url |
https://doi.org/10.1051/e3sconf/20172308001 |
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