Coordinated Window Shade Adjustments Using Predictive Solar Modeling
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Solution Overview
Problem
Current automated shade control systems are inadequate in managing direct solar radiation and providing targeted illumination, as they fail to effectively integrate various sensors and systems to protect sensitive objects from direct sunlight while allowing natural daylight, leading to excessive shade movements and energy inefficiencies.
Innovation Solution
An automated shade control system that uses predictive modeling to adjust window shades based on solar radiation patterns, incorporating sensors for light, temperature, and geographic data to optimize daylight entry and protection, allowing for targeted illumination and shading of specific areas within a building.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated shade control systems use photo sensors to detect visible light entering through windows, then the amount of daylight can be determined, but the system cannot determine the amount of solar radiation on a specific object or area of interest
Solution Approach 1:
The system divides the window into multiple zones (first window, second window, third window) with independent shade controls, allowing targeted shading of specific areas while permitting daylight in other areas. This segmentation enables precise control over which objects receive solar radiation while maintaining overall daylighting.
Solution Approach 2:
The system uses predictive modeling to anticipate solar radiation patterns and adjusts shades in advance to protect objects before direct sunlight reaches them. This preliminary action prevents the need for reactive shade movements, reducing unnecessary adjustments while maintaining protection.
2Object-affected harmful factors
If current daylight monitoring systems adjust window shades to protect against solar radiation, then objects are protected from fading, but excessive shade movements occur that distract visitors
Solution Approach 1:
The system uses predictive modeling to anticipate solar radiation patterns and pre-positions shades to protect objects before direct sunlight reaches them. This proactive approach minimizes reactive shade adjustments, reducing distracting movements while maintaining continuous protection.
Solution Approach 2:
The system applies shading only to specific window zones that directly impact protected objects, rather than shading entire windows. This partial action provides necessary protection while allowing more daylight penetration and reducing the frequency and extent of shade movements.
3Productivity
If automated shade systems control traditional window coverings based on uniform shading criteria, then overall daylight management is achieved, but graduated shading and veiling glare effects are not optimized
Solution Approach 1:
The system applies different shading characteristics to different window zones based on their specific functions and the objects they protect. Some zones use graduated shading to control veiling glare, while others use uniform shading for maximum protection, optimizing illumination quality for each local area.
Solution Approach 2:
The system dynamically adjusts shade positions and configurations based on real-time solar position, object locations, and illumination requirements. This dynamic control enables graduated shading patterns that adapt to changing light conditions, optimizing veiling glare control throughout the day.
Data Source
AI summary
To allow more daylighting and protect against direct solar radiation, the system may include a window shading system that impacts an area (or area of interest). The system may adjust different window shades in different ways and for different periods of time to protect against a direct solar radiation onto an area of interest. The system may provide targeted shadows onto the area of interest. The system may also analyze or predict angles of solar rays that comprise the direct solar radiation and determine an impact of the solar rays on the area of interest, wherein the adjusting of window shades is based on the determining.