Adaptive Load Control for Power and Occupant Comfort
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Solution Overview
Problem
Existing load control systems fail to consider the interdependencies between lighting, heating, and cooling systems and motorized window treatments, leading to increased power consumption and occupant discomfort due to uncoordinated adjustments.
Innovation Solution
A system controller that optimizes power consumption by predicting and adaptively controlling lighting intensity, window treatment positions, and temperature to maintain comfort metrics, using data from various sensors to balance these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If load control adjustments are made to reduce power consumption, then energy savings are achieved, but occupant comfort deteriorates
Solution Approach 1:
The system dynamically changes operating parameters of multiple systems (lighting intensity, window treatment position, HVAC temperature setpoint) based on environmental conditions and occupancy to optimize total power consumption. This allows the system to adapt to varying conditions and prevent tangential effects.
Solution Approach 2:
The system transitions from static, fixed settings to dynamic, adaptive control that responds to real-time environmental conditions and occupancy patterns. This enables the system to optimize power consumption while maintaining occupant comfort through continuous adjustment.
Data Source
AI summary
A load control environment may be controlled by adjusting load control devices, such as a lighting intensity level, a level of the covering material for a motorized window treatment, and/or a temperature level to reduce and/or optimize the consumption of power. The optimization of power may include reducing the total cost and consumption of power, while maintaining a target or minimum level of comfort for occupants and/or a net monetary gain. The optimization of power consumption may be performed by adaptively controlling the load control devices to reduce the total power consumption of the load control environment, while maintaining a minimum level for comfort metrics indicating a level of occupant comfort and/or the net monetary gain associated with the comfort metrics.


