Load Control System Manual Override for Multi-Zone Energy Savings
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Solution Overview
Problem
Existing load control systems face challenges in automatically controlling multiple variables such as lighting intensities, motorized window treatments, and HVAC temperatures to optimize energy savings, often resulting in unpredictable and disorderly system operation due to non-linear relationships between these variables.
Innovation Solution
A load control system comprising a lighting control device, a daylight control device, and a temperature control device that operate in an energy-savings mode, with an input control device allowing manual override and automatic return to energy-savings mode, enabling manual adjustment of lighting, natural light, and HVAC settings while maintaining energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the system operates in automatic energy-savings mode to reduce power consumption, then energy efficiency is improved, but occupant comfort may deteriorate due to fixed automated adjustments
Solution Approach 1:
The system dynamically switches between automatic energy-savings mode and manual override mode, allowing the control characteristics to change based on user needs. The actuator enables real-time transition from automated control to manual control, making the system adaptable to varying occupancy comfort requirements while maintaining energy efficiency during normal operation
Solution Approach 2:
The system provides self-service through automatic energy management during normal operation, reducing power consumption without requiring user intervention. The automated control algorithm independently adjusts lighting, window treatments, and HVAC settings to optimize energy savings, only requiring user input when manual override is activated
2Use of energy by moving object
If multiple variables are automatically controlled to optimize energy savings, then energy efficiency is improved, but system operation becomes unpredictable and disorderly due to non-linear relationships between variables
Solution Approach 1:
The control algorithm acts as an intermediary that coordinates the interactions between multiple control variables (lighting, window treatments, HVAC). By managing the non-linear relationships between these variables through a centralized control logic, the system achieves stable and predictable operation while optimizing energy savings across all subsystems
Data Source
AI summary
A load control system for a building having a lighting load, a window, and a heating and cooling system comprises a lighting control device, a daylight control device, and a temperature control device operable to be controlled so as to decrease a total power consumption of the load control system in an energy-savings mode. The energy-savings mode can be manually overridden in response to actuation of the actuator of an input control device, such that the load control system enters a manual mode for manually adjusting the loads controlled by the lighting control device, the daylight control device, and the temperature control device. The load control system is operable to automatically return to the energy-savings mode at a time after the load control system entered the manual mode.