Solar Radiation Modeling using ArcGIS | Renewable Energy Planning

Опубликовано: 30 Июль 2026
на канале: Surveying Solutions
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Solar Radiation Modeling is a crucial process used to estimate the amount of solar energy received by the Earth’s surface. This method is highly useful in fields like renewable energy planning, environmental analysis, agricultural assessments, and urban planning. Using ArcGIS for solar radiation modeling allows for detailed spatial and temporal analysis of solar energy distribution based on terrain features. The core tool used for this process in ArcGIS is the Area Solar Radiation tool, found under the Spatial Analyst toolbox.
1. Data Requirements
To perform solar radiation modeling, you need the following datasets:
• Digital Elevation Model (DEM): The primary input data representing the topography and elevation of the study area. The DEM should be in raster format, with elevation units in meters or feet.
• Latitude and Longitude: The geographic coordinates of the area of interest for accurate sun position calculations.
• Time and Date Information: Solar radiation is time-dependent. You can simulate solar radiation for specific times (daily, monthly, or yearly intervals).
• Atmospheric Parameters (Optional): Transmittivity and diffuse fraction data can enhance the accuracy of the analysis by accounting for atmospheric conditions such as aerosols, water vapor, and clouds.
2. Step-by-Step Process in ArcGIS
Step 1: Prepare Your DEM
• Load the DEM into ArcGIS. Ensure that the DEM is projected in an appropriate coordinate system, such as UTM, which is commonly used for solar radiation analyses.
• The DEM's elevation units should be consistent across the analysis (meters or feet).
Step 2: Open the Solar Radiation Tool
• In the ArcToolbox, navigate to Spatial Analyst Tools go to Solar Radiation go to Area Solar Radiation. This tool calculates the total amount of solar radiation received over the surface for a given time period.
Step 3: Configure Input Parameters
• Input Raster: Select the DEM as the input raster. The DEM represents the surface over which solar radiation will be calculated.
• Time Configuration: Select the time range for your analysis. Options include:
o Yearly: Calculate the average solar radiation for the entire year.
o Monthly: Select a specific month for the calculation.
o Daily: Analyze solar radiation for a specific day.
o You can also specify the hour interval if you need detailed hourly sunlight analysis (e.g., every hour).
• Z Factor: If the vertical and horizontal units differ (e.g., if the DEM is in feet but the analysis is in meters), adjust the Z factor to scale the vertical units accordingly. If units are consistent, leave this value as 1.
• Diffuse Model Type: Select this if you want to include diffuse radiation (sunlight scattered by the atmosphere). By default, both beam (direct) and global (total) radiation are calculated.
• Shadow Calculation: Shadows cast by terrain features (such as mountains and valleys) affect sunlight distribution. ArcGIS automatically calculates shadow effects based on the DEM’s topography.
Step 4: Set Atmospheric Parameters (Optional)
• Transmittivity: This is the fraction of solar radiation that passes through the atmosphere and reaches the ground. The default is 0.5, which represents a moderate level of atmospheric clarity, but you can adjust this based on local conditions (e.g., 0.7 for clearer skies or 0.3 for overcast conditions).
• Diffuse Proportion: This accounts for sunlight scattered in the atmosphere. The default value can be modified if you have local atmospheric data.
Step 5: Specify Output
• Output Global Radiation Raster: Define the output file where the solar radiation results will be saved. The output is typically in Watt-hours per square meter (Wh/m²/day) or other units, depending on your settings.
Step 6: Run the Tool
• Click OK to run the tool. The processing time will depend on the size of the DEM and the complexity of the analysis (e.g., hourly vs. yearly computations). The output will be a raster layer showing solar radiation distribution across the study area.

For more information, visit
https://desktop.arcgis.com/en/arcmap/...