HVAC controller with regression model to help reduce energy consumption
US9519874B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2012 |
| Grant date | Dec 13, 2016 |
| Priority date | — |
| Expiry date | Nov 10, 2033 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF24F2130/10
- WIPO fieldThermal processes and apparatus
- WIPO sectorMechanical engineering
Abstract
A thermal control system for a building is disclosed, which includes a regression model: Given a forecast temperature outside the building, the regression model predicts how much an HVAC system will cost to run during a day, for a given set of time-varying target temperatures for all the thermostats in the thermal control system. The thermal control system may also include an optimizer, which invokes multiple applications of the regression model. Given a forecast temperature outside the building, the optimizer predicts an optimal set of time-varying target temperatures for all the thermostats in the thermal control system. Running the HVAC system with the optimal set of time-varying target temperatures should have a reduced or a minimized cost, or a reduced or minimized total energy usage. The optimizer works by running the regression model repeatedly, while adjusting the time-varying target temperature for each thermostat between runs of the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.