Sun position and wind direction, based on date, time, and location, influence how objects within an energy park are experienced. Think of panel glare, shadows on buildings, or the visibility of lighting at night. These simulations provide essential insights for spatial integration, visual quality, and regulatory compliance.

• Assess disruptive solar panel reflections

• View real-time shadow impact of objects on the environment

• Analyze shading from trees, hedges, or fences on solar park output

• Simulate fog, day-night conditions, and the effect of lighting on the surroundings

Conduct detailed analyses to assess the impact of wind turbine shadow flicker. Calculate the effects of sun position and sunshine probability on nearby receptors, verify compliance with local regulations, and test mitigating measures such as controlled turbine shutdowns.

• Calculate shadow flicker based on sunshine probability, date, time, and location

• Check compliance with national regulations and set exposure limits (e.g., max. 5 hours and 40 minutes per year)

• Apply curtailment scenarios and evaluate the impact on designated receptors

• Visualize shadow flicker contours on maps, export to KML, or generate detailed reports

Calculate sound emissions from wind turbines or other installations based on ISO 9613-2 to evaluate their environmental impact. Verify compliance with legal noise limits and support Environmental Impact Assessments (EIA) and public communication with clear visual and numerical outputs.

• Calculate noise levels per octave band based on sound spectrum input

• Account for daytime, evening, and nighttime conditions, distance to receptors, reflections, and ground attenuation

• Verify against applicable standards (e.g., 49 dB(A) day / 39 dB(A) night)

• Visualize sound contours on maps, export to KML, or generate detailed reports

Calculate the visibility of turbines, solar parks, and high-voltage towers through advanced line-of-sight analysis based on DTM/DSM data. Simulations consider terrain, observation height, partial visibility, and, where available, obstructions such as vegetation or buildings. EnergyPlanner supports this process with advanced visualization tools for policy support, public participation, and permitting.

• Calculate topographic visibility using ray tracing toward observation points at user-defined height

• Identify whether objects are fully, partially, or not visible, with support for unlimited receptors

• Include visibility barriers such as trees, buildings, or other obstructions for enhanced accuracy

• Generate turbine visibility maps and summary reports per receptor location

Simulate dynamic risk zones around wind turbines, such as turbulence, turbine separation distances (crosswind and downwind), and ice or blade fragment throw. These insights are essential for determining safety zones and landscape integration.

• Turbulence radius – Determine turbine spacing using wind direction and cross/downwind separation to reduce wake effects and wear

• Rotor diameter – Critical for defining turbine spacing, impacting yield and wake size

• Topple distance – Simulate fall distance for safety zoning in case of structural failure

• Ice throw distance – Assess risk areas for ice fragments under varying wind speeds and rotor RPM