研究目的
Designing, implementing, and testing a geospatial database for wind and solar energy applications in the Kingdom of Bahrain to determine economic feasibility and establish site location for wind turbines or solar panels.
研究成果
The study established that that the Kingdom of Bahrain is capable of implementing wind power as a sustainable and renewable energy source. 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.
研究不足
Despite some limitations and constraints the study has portrayed both the effectiveness of GIS as a research tool and the importance's of having a geospatial database.
1:Experimental Design and Method Selection:
The research utilized GIS-based analyses to characterize spatially-related variables within a digital environment and help produce informative visualizations. A multi-criteria GIS model was developed based on vector and raster models to eliminate ambiguous solutions.
2:Sample Selection and Data Sources:
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.
3:List of Experimental Equipment and Materials:
ArcGIS 10.2 and extension are used for data processing and analysis.
4:2 and extension are used for data processing and analysis.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: 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.
5:Data Analysis Methods:
A multi-criteria GIS model is developed based on vector (discrete point, line, and polygon representations) and raster model (continuous representation) to eliminate ambiguous solutions.
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