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Solar Suitability Survey of Eau Claire, Wisconsin
Solar Suitability Survey of Eau Claire, WisconsinKiernan JohnsonGIS III, 5-7-15Objectives of the projectThe goal of the project is to investigate the suitability of rooftops in Eau Claire for the installation of solar panels.Collect and process LiDAR dataCreate suitability modelAnalyze resultsRooftop Solar Power
Rooftop solar arrays are a practical means of harnessing an alternative and renewable energy sourceRooftop placement of these arrays avoids land use and environmental problemsRooftop placement also allows for the utilization of an empty space in densely populated urban and suburban areas.LiDARLight Detection and RangingActive remote sensing systemUses lasers and other forms of sensing technology to send and receive pulses.Collects point clouds in several returns
Extremely accurate elevation dataVertical5-15cmHorizontal50-100cmAPPLICATIONSEnvironmental:Assessing vegetation density and typeFlood zone mapping
Urban Planning:Utility linesBuilding ExtractionExternal LiDAR ExampleStudy Area
Data
LiDAR Data
Point cloud files in tiles, combined to form a LiDAR DatasetProvided by Eau Claire City GovtBuilding Layer
Polygons provided by Eau Claire City GovtModelStudy area LAS DatasetLAS to Raster toolBuilding Polygon LayerStudy Area Elevation RasterRooftop DSMHillshade Re-classAspect Re-classSlope Re-classRadiation Re-classRaster CalculatorRaster Re-class
Raster Re-class
Extract by maskRaster Re-classRaster Re-class
Hillshade RasterAspect RasterSlope RasterRadiation RasterAspectSlopeArea Solar RadiationHillshadeSuitability Raster
LAS DataExtracted LAS RasterBuilding PolygonsLAS RasterModel pt2Study area LAS DatasetLAS to Raster toolBuilding Polygon LayerStudy Area Elevation RasterRooftop DSMHillshade Re-classAspect Re-classRadiation Re-classRaster CalculatorRaster Re-class
Raster Re-class
Extract by maskRaster Re-classRaster Re-class
Hillshade RasterAspect RasterSlope RasterRadiation RasterAspectSlopeArea Solar RadiationHillshadeSuitability Raster
Solar Radiation IndexAspect Index
Slope IndexHillshade Index
Optimal sites for solar placement
Sources and AcknowledgementsI would like to thank Martin Goettl and Christina Hupy for the time they dedicated to guiding me through this project over the course of the semester.
Lukac N, Zlaus D, Seme S, Zalik B, Stumberger G. Rating of roofs surfaces regarding their solar potential and suitability for PV systems, based on LiDAR data. Applied Energy 2013;102:803-812
Nguyen HT, Pearce JM, Harrap R, Barber G. The Application of LiDAR to Assessment of Rooftop Solar Photovoltaic Deployment Potential in a Municipal District Unit. Sensors. 2012; 12(4):4534-4558.
Kucuksari S, Khaleghi AM, Zhang Y et al; An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments. Applied Energy 2014113: 1601-1613
Yang, B., Xu, W., Dong, Z. (2013). Automated Extraction of Building Outlines From Airborne Laser Scanning Point Coulds. IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 6.