Peakpower energy management and control system method and apparatus

Abstract

An integrated Energy Management and/or Control System method and apparatus that continually monitors power consumption on each piece of equipment 2417 and performs detailed analyses of energy consumption curves including derivatives and compares data to historical data on the same equipment as well as going online and acquiring manufacturers specs and comparing to that as well as the same model number equipment in the same or other locations, in order to detect anomalies, abnormal energy consumption or provide early warning of equipment failures.

1 . A management center configured for receiving, real-time energy consumption data from a multiplicity of equipment at a multiplicity of sites and adaptively deriving a time domain and a frequency domain signature for each category of equipment by type or model number to project energy consumption value for similar types or model numbers of equipment at a multiplicity of sites; receiving, with the management center, an actual energy consumption value for one piece of energy consuming equipment; cross-correlating, with the management center, the actual energy consumption value with the energy consumption value projected by the signature; and generating, with the management center, an output based on the cross-correlation. 
     
     
         2 . The management center of  claim 1 , adjusted for environmental conditions. 
     
     
         3 . The management center of  claim 1 , where an alert SMS is generated if it is quickly trending toward going out of limits. 
     
     
         4 . The management center of  claim 1 , where an alert SMS is generated if it goes outside an adaptively pre-set “corridor” of operation. 
     
     
         5 . The management center of  claim 1 , using first derivatives to correlate refrigeration equipment across multiple sites. 
     
     
         6 . The management center of  claim 1 , using first and second derivatives to correlate refrigeration equipment across multiple sites. 
     
     
         7 . The management center of  claim 1 , using statistical analyses including first and second derivatives and comparing it to:
 a) data acquired on previous dates and times;   b) comparing it to manufacturers specs; and   c) data from the same model of equipment in other locations to detect early warning signs of potential failures or anomalies in the power used by this equipment versus other same or similar refrigeration equipment in order to optimize energy use.   
     
     
         8 . The management center of  claim 1 , where sending an email or short message service (SMS) to a designated recipient when an anomaly is detected in refrigeration equipment. 
     
     
         9 . A central facility monitoring many locations, including stores, to show a regional or world map of the aggregate stores which may be popped-up from hierarchically organized pages. 
     
     
         10 . A system for extracting a refrigeration device's “sinus rhythm” or “signature” and tracking these devices in order to detect anomalies. 
     
     
         11 . The system of  claim 10 , where responsive action(s) is/are indicated when anomalies are detected. 
     
     
         12 . The system of  claim 10 , where sending an email or short message service (SMS) to a designated recipient when an anomaly is detected in refrigeration equipment. 
     
     
         13 . The system of  claim 11 , wherein the responsive action comprises sending an email or short message service (SMS) to a designated recipient, when an anomaly is detected in refrigeration equipment. 
     
     
         14 . A system for detecting thermostat overrides on refrigeration and HVAC units by logging in remotely using security credentials and controlling the refrigeration or HVAC, based on the slope of the curve of the temperature, and/or the energy consumption curve to alert someone to disable the override. 
     
     
         15 . A battery powered wireless integrated temperature, pressure, and humidity sensor in a single tiny enclosure measuring less than 3 cubic inches, using a single ½ AA battery capable of lasting more than 3 years. 
     
     
         16 . A system for deriving the Fourier Heat Flow Coefficient of a refrigeration system by using variations in KWh input versus BTU output relative to circadian cycle temperatures which normally follow a diurnal pattern.