Energy management method and process using analytic metrics.

• US 20050240427A1
• Filed: 04/21/2005
• Published: 10/27/2005
• Est. Priority Date: 04/26/2004
• Status: Abandoned Application

• Current Assignee: Henry B. Crichlow
• Original Assignee: Henry B. Crichlow
• Inventors: Crichlow, Henry B.
• Application Number:
  US10/907,926
• Publication Number:
  US 20050240427A1
• Time in Patent Office: Days
• US Class Current: 705/412
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A method and process provides an approach to optimizing energy costs or any similar fungible, consumable commodity in real time use by defining and utilizing a novel analytic metric based on the ratio of the actual cumulative cost of the commodity used compared to the absolute minimum cost of the commodity during the time period under consideration. The historical energy management approach uses the price of the commodity and then tries to lower the total cost of energy use during the most expensive time periods. It may not be possible with the existing energy management techniques to be able to meet all the operational requirements of the user and still have the minimum cost of use. As a result of this invention, the user can be guaranteed the optimal energy use at the absolute minimum cost, and if the minimum is not achievable the invention allows the user to quantify how efficient his operation is, compared to the theoretical optimum. The use of a new metric called the Energy Performance Index (EPI) allows this comparison to be made across all energy use platforms. Substantial increases in efficiency, performance and economics can be achieved with this invention.

Claims

1. A novel computer implemented method for optimizing the energy management and energy efficiency monitoring of a facility or a plurality of facilities, substantially in real time, using a new metric described herein, called the Energy Performance Index (EPI), including the steps of:

defining a novel metric called the energy performance index (EPI) which describes the absolute minimum cost of energy in the time period under observation, and,

deriving this new metric by defining a set of parameters for the facility system operating over a set of time intervals; and

,

using a optimization technique, taking into account said set of parameters, to produce energy management output data which satisfies a total energy consumption constraint that the total energy allocated to the facility not exceed a target energy consumption level, and

which is representative of an optimal management of energy in each of said time intervals, and,

using a computer system to determine this novel metric called the energy performance index (EPI) which describes as an output, the absolute minimum cost of energy in the time period under observation, and,

using this new parameter (EPI) to compare efficiencies between a plurality of operations, and,

making the information and energy outputs available, substantially in real time.

2. The method of claim 1 for optimizing energy management comprising:

a means for defining the energy parameters;

a means for defining linear or nonlinear operational constraints;

a means for defining the linear or nonlinear objective function to be optimized;

a means for defining linear and nonlinear solution methods;

a means for defining optimal levels of energy use parameters;

a means for defining optimal levels of energy costs;

a means for defining the use of outputs.

3. The method as set forth in claim 1 which defines a new metric, the Energy performance Index, (EPI).

4. The method as set forth in claim 1 describing the use of the new metric EPI in the energy management industry.

5. The method as set forth in claim 1, wherein the using step is carried out by formulating a optimization problem in terms of a set of facility energy management constraints, converting said constraints into a set of constraint equations and a cost function, converting said constraint equations into a set of simultaneous linear or nonlinear equations, and then solving said set of simultaneous equations in such a manner as to minimize said cost function, to thereby produce said energy management output data.

6. The method as set forth in claim 1, wherein the using step is carried out by formulating a optimization problem which includes a set of constraint equations representative of a set of facility energy management constraints, and a cost function representative of the total facility energy consumption, and then solving said optimization problem in such a manner as to satisfy said total energy consumption constraint and each of said facility energy management constraints, while minimizing said cost function.

7. The method as set forth in claim 1 comprising:

a computer system having;

at least one or more processors,

a relational or similar database repository of energy data

a multi-layered software system

at least one communications interface to communicate with distributed users and servers over a network.

8. The method as set forth in claim 7 comprising a multi-layered software program and program architecture comprising:

linear and nonlinear optimization application programs;

application subsystems, middleware systems

application frameworks facilitating access to database repositories and database processes.

9. Method of claim 1 which includes the formulation of the EPI.

10. Method of claim 1 in which the computer connected to internet by a plurality of means including using at least one communication system comprising:

the Public Switched Telephone Network or,

a wireless system or,

a wired system such as a power line carrier over existing electric power lines.

11. Method in which computer of claim 7 makes data on EPI available in real time to the process facility and other operational controllers.

12. Method which uses a graphical user interface (GUI) which interacts with optimization programs of claim 7 above.

13. Method in which the GUI of claim 12 uses standard application programming interfaces (API) which are current available as standards to the industry.

14. Method in which the GUI of claim 12 has at least one external interface which includes a standards based API and a file based application system.

15. Method in which computer system of claim 7 comprising at least one communication server to communicate data over at least one communication network.

16. Method in which computer system of claim 7 is configured to administer a plurality of dissimilar legacy systems capable of operating with:

dissimilar customer systems,

dissimilar business logic and

dissimilar regulatory systems,

and over dissimilar networks.

17. Method in which the computer system of claim 7 is adapted to support a “

fail-over”

capability at all levels in the vent of failure and where if an individual process fails computer system shifts to another process to maintain system integrity.

18. Method in which the communication system of claim 15 can supports “

fail-over”

capability such that automatic routing to another system occurs if one communication system fails.

19. The method shown in claim 1 above where the output information is made available on the internet for user interaction comprising:

generating graphical data

generating tabular data

uploading data and graphics to central internet site

interfacing user with internet websites.

20. Method in which optimal data of claim 1 is made available to user by an export system, this export system capable of utilizing the following and other forms of communication;

electronic mail, facsimile, by website posting, by internet chat, by direct internet messaging, paging over RF networks, by other radio based systems.

21. The computer system of claim 7, wherein said at least one communication server supports at least one of CDMA, telephone &

international standards, PSTN, PCS, WAP, x.25 modem, RAM, CDPD, and TDMA environments.