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Smart Filters

Generate insights for PV panels and Solar Heat Gains


sunsetPV Supply

Displays ideal positions and directions for Photovoltaic panels based on different strategies:

  • Maximize Yearly Production: Applies the Unobstructed-Corner-Update Values filter to isolate boundary points immune to self-obstruction. It then dynamically updates their values based on the free faces directly exposed to the solar direction.
  • Match Yearly Demand: Applies the Unobstructed-Corner-Update Values filter to isolate boundary points immune to self-obstruction and updates their values based on the free faces exposed to the solar direction. Next, it runs a matching algorithm utilizing a Threshold-Value filter to iteratively retain the highest-value points. The process stops once the total PV supply matches or slightly exceeds the calculated annual demand of the selected building pattern. Total PV supply is computed using the selected sensor energy data combined with panel efficiency and surface coverage parameters.
  • Match Demand Peaks: Prepares the selected monthly and hourly solar layers (or frames) that correspond to the building's peak demand periods. It computes the target demand for each peak slot based on the gross floor area and the peak demand rate. For each selected layer, the software applies the Unobstructed-Corner-Update Values filter, followed by the same Threshold-Value matching algorithm used in yearly demand matching to isolate the highest-value points. Finally, the resulting matched layers are overlaid in Mixer Multi-mode to enable direct comparison of optimal PV placement across different peak conditions.

 



home-lineSolar Heat Gains

Displays the ideal positions and orientations for transparent surfaces on each floor to optimize Solar Heat Gains based on the building's peak heating demand (selected month and intensity). This feature utilizes a iterative matching workflow combining Unobstructed, Threshold, and Projection filters:

  1. It applies the Projections-Horizontal filter to project directional vectors onto a horizontal plane, specifically targeting vertical transparent surfaces.
  2. It applies the Unobstructed-Corner-Update Values filter to isolate boundary points immune to self-obstruction.
  3. Finally, it executes a matching algorithm utilizing the Threshold-Level-Count filter to precisely align the supply of the selected solar layer with the building's demand (e.g., analyzing a January solar layer to match the winter heating demand peak).