Method and System for Determining Potential Energy Saving for a Multisite Enterprise

• US 20170343974A1
• Filed: 06/10/2016
• Published: 11/30/2017
• Est. Priority Date: 05/25/2016
• Status: Active Grant

• Current Assignee: Carrier Corporation (Carrier Global Corporation)
• Original Assignee: Wipro Limited
• Inventors: Baskaran, Deepak, Mandal, Subhasis, Venkitapathi, Prabhu Raja Subbarayalu
• Granted Patent: US 10,317,865 B2
• Time in Patent Office: Days
• CPC Class Codes: G05B 19/0423 Input/output
• CPC Class Codes: G05B 2219/2639 Energy management, use maximum of cheap power, keep peak load low
• CPC Class Codes: Y02P 80/10 Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier

Abstract

The present disclosure relates to a method and system for determining potential energy savings for a multisite enterprise by an energy evaluation system. The energy evaluation system receives energy consumption data and plurality of variables associated with plurality of sites and identifies a category for the plurality of variables based on a relationship of the plurality of variables with the energy consumption data. The energy evaluation system further determines one or more significant variables based on an impact of the plurality of variables on the energy consumption data and category of the plurality of variables. The energy evaluation system identifies a plurality of clusters for the multisite enterprise based on the one or more significant variables, evaluates the plurality of clusters of variables and optimizes the plurality of clusters of the plurality of variables based on the evaluation. Based on the evaluation and optimization a potential energy savings is determined.

Claims

1. A method for determining potential energy savings for a multisite enterprise, the method comprising:

receiving, by an energy evaluation system, energy consumption data and plurality of variables, associated with plurality of sites of an enterprise from one or more data sources;

identifying, by the energy evaluation system, a category for the plurality of variables based on a relationship of the plurality of variables with the energy consumption data;

determining, by the energy evaluation system, one or more significant variables based on the impact of the plurality of variables on the energy consumption data and the category of the variables;

identifying, by the energy evaluation system, a plurality of clusters for a multisite enterprise based on the one or more significant variables;

evaluating, by the energy evaluation system, the plurality of clusters for a multisite enterprise;

optimizing, by the energy evaluation system, the evaluated plurality of clusters based on the evaluation; and

determining, by the energy evaluation system, values indicative of potential energy savings for the multisite enterprise based on the evaluation and optimization of the plurality of the clusters.

2. The method as claimed in claim 1, wherein the plurality of variables associated with the plurality of sites of the enterprise comprises size information, weather conditions, operating hours of the sites, type of equipment, age of equipment, operating condition of equipment, instrumentation and controls used at the plurality of sites of the enterprise.

3. The method as claimed in claim 1, wherein identifying the category for the variables comprises:

discarding, by the energy evaluation system, one or more sites from the plurality of sites which have one or more invalid energy consumption data and sites which do not have size information;

generating, by the energy evaluation system, new variables and ratios and proportions, for the plurality of variables;

assigning, by the energy evaluation system, data type or measurement type for the plurality of variables; and

modifying, by the energy evaluation system, the plurality of variables based on the feedback received during identification of significant variables and evaluation of the plurality of clusters.

4. The method as claimed in claim 1, wherein determining the one or more significant variables comprises:

deselecting, by the energy evaluation system, the plurality of variables based on a ranking of the plurality of variables and feedback received during evaluation of the plurality of clusters; and

adjusting, by the energy evaluation system, a pre-defined significance level based on a feedback received during evaluation of actual energy saved and the energy saving potential.

5. The method as claimed in claim 1, wherein the plurality of clusters for a multisite enterprise are identified based on dissimilarity between the plurality of sites whose significant variables and energy consumption data are different.

6. The method as claimed in claim 1, wherein evaluating the plurality of clusters of the multisite enterprise comprises:

evaluating, by the energy evaluation system, quality of the plurality of clusters based on a pre-configured value for the plurality of variables in each cluster; and

adjusting, by the energy evaluation system, a base number of the plurality of clusters based on the evaluation of the quality of the plurality of clusters.

7. The method as claimed in claim 1, wherein optimizing the plurality of clusters for the multisite enterprise comprises:

creating, by the energy evaluation system, a new set of plurality of clusters based on an adjusted base number of clusters; and

providing, by the energy evaluation system, feedback for modifying category for one or more variables of the plurality of variables and for deselecting the variables based on the new set of plurality of clusters.

8. The method as claimed in claim 1, wherein determining the potential energy savings for the multisite enterprise comprises calculating unadjusted and adjusted saving potential for the multisite enterprise.

9. The method as claimed in claim 8, wherein the unadjusted saving potential of a site is the difference in energy consumption of a site with respect to average energy consumption of the respective cluster.

10. The method as claimed in claim 8, wherein the adjusted saving potential is determined based on a pre-configured value of the enterprise and the unadjusted saving potential.

11. The method as claimed in claim 1 further comprising evaluating the actual energy saved for the multiple sites of the enterprise and the energy saving potential identified.

12. The method as claimed in claim 1 further comprising generating continuous feedbacks for redetermination of the one or more significant variables and optimization of the plurality of clusters upon evaluating actual energy saved and the energy saving potentials for improving the quality of determining potential energy savings for a multisite enterprise.

13. An energy evaluation system for determining potential energy savings for a multisite enterprise, comprising:

a processor; and

a memory communicatively coupled to the processor, wherein the memory stores processor instructions, which, on execution, causes the processor to;

receive energy consumption data and plurality of variables, associated with plurality of sites of an enterprise from one or more data sources;

identify a category for the plurality of variables based on a relationship of the plurality of variables with the energy consumption data;

determine one or more significant variables based on the impact of the plurality of variables on the energy consumption data and the category of the variables;

identify a plurality of clusters for a multisite enterprise based on the one or more significant variables;

evaluate the plurality of clusters for a multisite enterprise;

optimize the evaluated plurality of clusters based on the evaluation; and

determine values indicative of potential energy savings for the multisite enterprise based on the evaluation and optimization of the plurality of the clusters.

14. The energy evaluation system as claimed in claim 13, wherein the plurality of variables associated with the plurality of sites of the enterprise comprises size information, weather conditions, operating hours of the sites, type of equipment, age of equipment, operating condition of equipment, instrumentation and controls used at the plurality of sites of the enterprise.

15. The energy evaluation system as claimed in claim 13, wherein to identify he category for the variables the instruction causes the processor to:

discard one or more sites from the plurality of sites which have one or more invalid energy consumption data and sites which do not have size information;

generate new variables and ratios and proportions, for the plurality of variables;

assign data type or measurement type for the plurality of variables; and

modify the plurality of variables based on the feedback received during identification of significant variables and evaluation of the plurality of clusters.

16. The energy evaluation system as claimed in claim 13, wherein to determine the one or more significant variables the instruction causes the processor to:

deselect the plurality of variables based on a ranking of the plurality of variables and feedback received during evaluation of the plurality of clusters; and

adjust a pre-defined significance level based on a feedback received during evaluation of actual energy saved and the energy saving potential.

17. The energy evaluation system as claimed in claim 13, wherein the processor identifies the plurality of clusters for a multisite enterprise based on dissimilarity between the plurality of sites whose significant variables and energy consumption data are different.

18. The energy evaluation system as claimed in claim 13, wherein to evaluate the plurality of clusters of the multisite enterprise the instruction causes the processor to:

evaluate quality of the plurality of clusters based on a pre-configured value for the plurality of variables in each cluster; and

adjust a base number of the plurality of clusters based on the evaluation of the quality of the plurality of clusters.

19. The energy evaluation system as claimed in claim 13, wherein to optimize the plurality of clusters for the multisite enterprise the instruction causes the processor to:

create a new set of plurality of clusters based on an adjusted base number of clusters; and

provide feedback for modifying category for one or more variables of the plurality of variables and for deselecting the variables based on the new set of plurality of clusters.

20. The energy evaluation system as claimed in claim 13, wherein the instruction causes the processor to determine the potential energy savings for the multisite enterprise by calculating unadjusted and adjusted saving potential for the multisite enterprise.

21. The energy evaluation system as claimed in claim 20, wherein the unadjusted saving potential of a site is the difference in energy consumption of a site with respect to average energy consumption of the respective cluster.

22. The energy evaluation system as claimed in claim 20, wherein the instruction causes the processor to determine the adjusted saving potential based on a pre-configured value of the enterprise and the unadjusted saving potential.

23. The energy evaluation system as claimed in claim 13, wherein the instruction causes the processor to evaluate actual energy saved for the multiple sites of the enterprise and the energy saving potential identified.

24. The energy evaluation system as claimed in claim 13, wherein the instruction causes the processor to generate continuous feedbacks for redetermination of the one or more significant variables and optimization of the plurality of clusters upon evaluating actual energy saved and the energy saving potentials for improving the quality of determining potential energy savings for a multisite enterprise.

25. A non-transitory computer readable medium including instruction stored thereon that when processed by at least one processor cause an energy evaluation system to perform operation comprising:

receiving energy consumption data and plurality of variables, associated with plurality of sites of an enterprise from one or more data sources;

identifying a category for the plurality of variables based on a relationship of the plurality of variables with the energy consumption data;

determining one or more significant variables based on the impact of the plurality of variables on the energy consumption data and the category of the variables;

identifying a plurality of clusters for a multisite enterprise based on the one or more significant variables;

evaluating the plurality of clusters for a multisite enterprise;

optimizing the evaluated plurality of clusters based on the evaluation; and

determining values indicative of potential energy savings for the multisite enterprise based on the evaluation and optimization of the plurality of the clusters.