System and method for monitoring electrical demand performance, particularly using historical data and an outside temperature

• US 8,610,590 B2
• Filed: 02/03/2011
• Issued: 12/17/2013
• Est. Priority Date: 02/04/2010
• Status: Expired due to Fees

• Current Assignee: Integrated Building Solutions, Inc.
• Original Assignee: Integrated Building Solutions, Inc.
• Inventors: Radovilsky, Zinovy, Gutkin, Eugene, St. Germain, Scott J., Roberov, Eugene, Ruiz, Francisco J., Tsunehiro, Patrick, Prado, Marion
• Primary Examiner(s): HOFSASS, JEFFERY A
• Application Number:
  US13/020,683
• Publication Number:
  US 20120032814A1
• Time in Patent Office: 1,048 Days
• Field of Search: 340/500, 340/540, 340/657, 700276-278, 700/286, 700/291, 700297-300, 702/60
• US Class Current: 340/657
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: G05B 2219/2614 HVAC, heating, ventillation, climate control

Abstract

A method and associated system for monitoring electrical demand performance in a building, industrial complex or university campus is disclosed. According to a preferred method, historical data is initially complied and statically analyzed to determine demand forecast for a baseline day. Further according to the method, electrical demand is plotted with another indication, more particularly outside air temperature. Additionally the invention provides an electronic alert to building engineers when demand falls outside the expected demand range. Still further a control chart is provided with the expected electrical load range. Outside air temperature is also optionally considered historically and in real time in the method. The invention further contemplates commissioning building engineers to reduce demand when a real time demand is higher than an expected energy demand. A system is also disclosed herein having instrumentation and electronic devices controlled by software and transmitting data.

Claims

1. A method for monitoring and improving electrical demand performance comprising:

compiling historical data, the historical data including a building electrical demand and an outside temperature;

obtaining a forecast high temperature for a baseline day;

selecting a control group from the historical data and the forecast high temperature for the baseline day;

calculating an expected demand range; and

providing an alert to building engineers when demand falls outside the expected demand range.

2. The method for monitoring and improving electrical demand performance of claim 1, the compiling historical data further comprising:

measuring electrical demand, in kilowatts, every hour on the hour; and

measuring outside temperature, in degrees Fahrenheit, every hour on the hour.

3. The method for monitoring and improving electrical demand performance of claim 1, further comprising:

providing a control chart with the expected demand range;

plotting hourly electrical demand and hourly outside temperature; and

load shedding due to a high electrical demand.

4. The method for monitoring and improving electrical demand performance of claim 1, the calculating an expected demand range further comprising:

identifying an average demand kW (kW_{i avg}) and a standard deviation of kW (σ

_i) for each hour i from 00;

00 to 23;

00 further wherein;

kW_iavg=(kW_i1+kW_i2+ . . . +kW_ij)/j

σ

_i=sqrt[(Σ

(kW_ij−

kW_iavg)²/(j−

1)], where “

j”

is a number of historical days (j32

     5); and

calculating a peak demand projected range using an upper and a lower limits estimates with a number of standard deviations (z-score) equal to 2 (z =2), further wherein;

the upper limit;

kW_i=kW_iavg+z*σ

_i/sqrt(j)

the lower limit;

kW_i=kW_iavg−

z*σ

_i/sqrt(j).

5. The method for monitoring and improving electrical demand performance of claim 1, the selecting a control group further comprising selecting five (5) days that have a same or a close match between a historical high temperature and the forecast high temperature.

6. The method for monitoring and improving electrical demand performance of claim 1, wherein the method is controlled by software and further wherein the providing an alert to building engineers when demand falls outside the expected demand range further comprises transmitting and electronic alert to the building engineers.

7. The method for monitoring and improving electrical demand performance of claim 1, further comprising providing a software enabled electronic device, the electronic device further plotting real-time energy demand vs. expected energy demand.

8. A method for monitoring electrical demand performance in a building or a plurality of buildings comprising:

compiling historical data, the historical data including a building electrical demand and an outside temperature;

obtaining a forecast temperature for a baseline day;

selecting a control group from the historical data and the forecast temperature for the baseline day;

calculating an expected demand range; and

providing an alert to building engineers when demand falls outside the expected demand range.

9. The method for monitoring and improving electrical demand performance of claim 8, the compiling historical data further comprising:

measuring electrical demand, in kilowatts, contemporaneously; and

measuring outside temperature, in degrees Fahrenheit, contemporaneously.

10. The method for monitoring and improving electrical demand performance of claim 8, further comprising considering outside air temperature historically, in real time, and in a forecast thereof.

11. The method for monitoring and improving electrical demand performance of claim 8, the calculating an expected demand range further comprising:

identifying an average demand kW (kW_{i avg}) and a standard deviation of kW (σ

_i) for each i associated with a particular time of day wherein;

kW_iavg=(kW_i1+kW_i2+ . . . +kW_ij)/j

σ

_i=sqrt[(Σ

(kW_ij−

kW_iavg)²/(j−

1)], where “

j”

is a number of historical days (j=5); and

calculating a peak demand projected range using an upper and a lower limits estimates with a number of standard deviations (z-score) equal to 2 (z =2), further wherein;

the upper limit;

kW_i=kW_iavg+z*σ

_i/sqrt(j)

the lower limit;

kW_i=kW_iavg−

z*σ

_i/sqrt(j).

12. The method for monitoring and improving electrical demand performance of claim 8, the selecting the control group further comprising selecting five (5) days that have a same or a close match between a historical temperature and the forecast temperature.

13. The method for monitoring and improving electrical demand performance of claim 8, further comprising:

providing instrumentation and data associated therewith;

providing a first electronic device;

providing a second electronic device;

transmitting the data from the first electronic to the second electronic device; and

controlling the first electronic device or the second electronic device with software.

14. The method for monitoring and improving electrical demand performance of claim 8, commissioning the building engineers to reduce demand when a real time demand is higher than an expected energy demand.

15. A system for monitoring and improving electrical demand performance in a building or a network of buildings, the network of buildings further comprising areas and sub-area, the system comprising:

instrumentation and data measured by the instrumentation;

a first electronic device;

a second electronic device, the first electronic device further comprising a transmitter, where the data is communicated from the first electronic to the second electronic device;

historical data, the historical data including a building electrical demand and an outside temperature; and

software providing indication and control to the system herein, wherein the software instructs either the first electronic device or the second electronic device to compile the historical data.

16. The system for monitoring and improving electrical demand performance in a building of claim 15, further comprising:

a forecast high temperature for a baseline day;

a control group associated to the historical data and the forecast high temperature for the baseline day;

an expected demand range calculated from the historical data and the forecast high temperature; and

an electronic alert, the electronic alert provided by the transmitter to building engineers when demand falls outside the expected demand range.

17. The system for monitoring and improving electrical demand performance in a building of claim 16, further comprising a control chart with the an expected demand range, and further wherein the data further comprises an hourly electrical demand;

and an hourly outside temperature.

18. The system for monitoring and improving electrical demand performance in a building of claim 15, further comprising:

an average demand kW (kW_{i avg}) and a standard deviation of kW (σ

_i) for each hour i from 00;

00 to 23;

00 further wherein;

kW_iavg=(kW_i1+kW_i2+ . . . +kW_ij)/j

σ

_i=sqrt[(Σ

(kW_ij−

kW_iavg)²/(j−

1)], where “

j”

is a number of historical days (j=5); and

the expected demand range further comprising an upper and a lower limit estimate with a number of standard deviations (z-score) equal to 2 (z =2), further wherein;

the upper limit;

kW_i=kW_iavg+z*σ

_i/sqrt(j)

the lower limit;

kW_i=kW_iavg−

z*σ

_i/sqrt(j).

19. The system for monitoring and improving electrical demand performance in a building of claim 15, further comprising five (5) days that have a same or a close match between a historical high temperature and a forecast high temperature.