18457635. CONTROLLING AN HVAC SYSTEM IN ASSOCIATION WITH A DEMAND-RESPONSE EVENT simplified abstract (Google LLC)
CONTROLLING AN HVAC SYSTEM IN ASSOCIATION WITH A DEMAND-RESPONSE EVENT
Organization Name
Inventor(s)
Yoky Matsuoka of Los Altos Hills CA (US)
Mark Malhotra of Burlingame CA (US)
Allen J. Minich of San Mateo CA (US)
Mark D. Stefanski of Palo Alto CA (US)
CONTROLLING AN HVAC SYSTEM IN ASSOCIATION WITH A DEMAND-RESPONSE EVENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18457635 titled 'CONTROLLING AN HVAC SYSTEM IN ASSOCIATION WITH A DEMAND-RESPONSE EVENT
Simplified Explanation
The patent application describes a control system that uses intelligent thermostats connected to a network to manage energy in buildings. The thermostats control the heating, ventilation, and air conditioning (HVAC) systems. During a demand response event, the system adjusts the HVAC setpoint schedule to optimize energy usage.
- The control system includes an energy management system and network-connected thermostats.
- The thermostats are capable of controlling HVAC systems in buildings.
- The system operates during demand response events to optimize energy usage.
- An optimal setpoint schedule for the HVAC system is determined and used for control.
- Candidate setpoint schedules are simulated to identify the best schedule.
Potential Applications
This technology can be applied in various settings where energy management is crucial, such as:
- Residential buildings
- Commercial buildings
- Industrial facilities
- Educational institutions
- Government buildings
Problems Solved
The technology addresses the following problems:
- Inefficient energy usage during demand response events
- Lack of control and optimization of HVAC systems during peak demand periods
- Manual adjustment of setpoint schedules leading to suboptimal energy management
Benefits
The technology offers several benefits:
- Improved energy efficiency during demand response events
- Optimal control of HVAC systems for better energy management
- Reduction in energy costs and environmental impact
- Automation of setpoint schedule adjustments for convenience and accuracy
Original Abstract Submitted
A control system includes an energy management system in operation with intelligent, network-connected thermostats located in structures. The thermostats are operable to control heating, ventilation, and air conditioning (HVAC) systems. Control during a demand response (DR) event period may be performed based on an optimal setpoint schedule of the HVAC system. Candidate setpoint schedules may be simulated to identify an optimal schedule.
