ENERGY EFFICIENT METHOD OF MONITORING AND CONTROLLING AN HVAC SYSTEM

• US 20100010679A1
• Filed: 09/21/2007
• Published: 01/14/2010
• Est. Priority Date: 09/21/2006
• Status: Active Grant

• Current Assignee: Edward A. Kassel
• Original Assignee: Edward A. Kassel
• Inventors: Kassel, Edward A.
• Granted Patent: US 7,983,796 B2
• Time in Patent Office: Days
• US Class Current: 700/278
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/63 Electronic processing
• CPC Class Codes: F24F 2110/10 Temperature
• CPC Class Codes: G05D 23/1931 to control the temperature of one space

Abstract

A method of monitoring and controlling an active environmental control system to impose energy efficient use of the system. The method includes the steps of monitoring a calling device for a change in calling data, time and date stamp the change in calling data, detecting a change in status of a plurality of physical sensors located within the system, wherein the state of each sensor represents a condition of the environment in which the system resides, time and date stamp the change in status of the plurality of physical sensors, measuring the temperature of a plurality of temperature locations within the system, time and date stamp the measured temperature of the temperature locations, storing for an extended period the calling data, the status change of the physical sensors and the measured temperature of the plurality of temperature locations, together with the respective time and date stamp, in a memory of the system, filtering the calling data, the physical sensors status change and the measured temperature for a system control trigger to identify system control trigger data, extracting a probability decision, to predict a direction of trend, by comparing recent system control trigger data with prior recorded system control trigger data, weighting the system control trigger data, based on the probability decision that the data is causing the output event trigger, in order to effect a desired change in output, and controlling the system based on the weighted system control trigger data.

Claims

1. A method of monitoring and controlling an active environmental control system to impose energy efficient use of the system, the method comprising the steps of:

monitoring a calling device for a change in calling data;

time and date stamp the change in calling data;

detecting a change in status of a plurality of physical sensors located within the system, wherein the state of each sensor represents a condition of the environment in which the system resides;

time and date stamp the change in status of the plurality of physical sensors;

measuring the temperature of a plurality of temperature locations within the system;

time and date stamp the measured temperature of the temperature locations;

storing for an extended period the calling data, the status change of the physical sensors and the measured temperature of the plurality of temperature locations, together with the respective time and date stamp, in a memory of the system;

filtering the calling data, the physical sensors status change and the measured temperature for a system control trigger to identify system control trigger data;

extracting a probability decision, to predict a direction of trend, by comparing recent system control trigger data with prior recorded system control trigger data;

weighting the system control trigger data, based on the probability decision that the data is causing the output event trigger, in order to effect a desired change in output; and

controlling the system based on the weighted system control trigger data.

2. The method of claim 1, wherein the step of monitoring the calling device further comprises the steps of:

measuring the current flow in an output of the calling device;

time and date stamp the measured current flow;

storing the measured current flow, together with the time and date stamp, in the memory of the system.

3. The method of claim 1, wherein the step of controlling the system includes controlling the control signal to a system load.

4. The method of claim 3, wherein the system load is selected from the group consisting of an HVAC compressor, heat pump, water valve controller, water valve solenoids, water valve actuators, gas valves, and steam valves.

5. The method of claim 1, wherein the step of controlling the system includes overriding the calling data of the calling device.

6. The method of claim 5, wherein the step of overriding includes interrupting the output current flow of the calling device.

7. The method of claim 1, wherein the calling device is a thermostat.

8. The method of claim 1, wherein the calling device provides a current flow.

9. The method of claim 1, wherein the physical sensors include at least one sensor which monitors the status of a door and at least one sensor which monitors the status of a window.

10. The method of claim 1, wherein the temperature locations include an air register, an air return input at a furnace, an air output at the furnace, a plenum of the furnace, a compressor, cold or hot liquid transfer pipe, and a condenser and air handler fans.

11. The method of claim 1, wherein the step of weighting includes setting a desired change in output defined by a percentage of increased energy efficiency.

12. The method of claim 1, wherein the step of detecting a change in status of a plurality of physical sensors located within the system includes receiving the change in status via a receiver.

13. The method of claim 1, wherein the step of measuring the temperature of a plurality of temperature locations includes measuring the temperature of a plurality of temperature locations via a one wire serial bus.

14. The method of claim 1, further comprising providing a BLUETOOTH®

interface to a remote receiving device, and downloading data to the system via the remote receiving device.

15. The method of claim 1, further comprising the step of monitoring the quantity and level of environmental equipment usage in the context of community based independent living thus acting to protect the health/safety of an occupant, and tracking recording and reporting usage, duration, egress, levels and intervals, using predictive algorithms to determine a normal level of activity, predicting and acting on abnormal changes in activity.

16. The method of claim 1, in the context of proving the performance of existing or new building designs, wherein the steps of monitoring, detecting and measuring relate to a building, and wherein the step of extracting the probability decision, includes predicting a direction of trend related to testing energy related scenarios and to confirm energy reduction scenarios.