IP Library Granted Patent US 10,380,705
Granted Patent B2
US 10,380,705 · App. 14/104,439 · Granted Aug 13, 2019

System and method for modeling of target infrastructure for energy management in distributed-facilities

Inventors: Sudipta Ghosh (Kolkata, IN); Subhasis Mandal (Bangalore, IN); Ravi Meghani (Bangalore, IN); Rohit Srivastava (Electronic, IN)
Assignee: CARRIER CORPORATION
G06Q50/06
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Quick Facts
Patent No.
US 10,380,705
App. No.
14/104,439
Granted
Aug 13, 2019
Kind
B2
Abstract

Energy modeling of target infrastructure for energy management in distributed-facilities. In one embodiment, an energy management modeling method including obtaining customer facility information and a customer business type; obtaining energy management industry standard information related to the customer business type; generating a baseline customer knowledge base, based on the obtained energy management industry standard information; obtaining facility historical operational information and operational policy information; generating a first energy operational model using the customer facility information, the baseline customer knowledge base, the facility historical operational information, and the operational policy information; generating a mapping of energy sources to asset systems, using the first energy operational model; generating an optimized energy operational model using the mapping of the energy sources to asset systems, wherein the optimized energy operational model utilizes an objective function of cost, energy consumption, and emission; and providing the optimized energy operational model.

Claims (90)

1. An energy management modeling method, comprising:

obtaining customer facility information for a facility and a customer business type;

obtaining energy management industry standard information related to the customer business type;

generating a baseline customer knowledge base, based on the obtained energy management industry standard information;

obtaining facility historical operational information and operational policy information;

generating a first energy operational model using the customer facility information, the baseline customer knowledge base, the facility historical operational information, and the operational policy information;

generating a mapping of energy sources to asset systems, using the first energy operational model;

generating an optimized energy operational model using the mapping of the energy sources to asset systems, wherein the optimized energy operational model utilizes an objective function of cost, energy consumption, and emission;

wherein the optimized energy operational model includes one or more operational parameters or operation thresholds;

providing the optimized energy operational model; and

controlling the asset systems within the facility using the optimized energy operational model;

wherein generating the mapping of the energy sources to the asset systems further comprises:

identifying service consumption area assets and metered service areas;

associating each identified service consumption area asset with one or more of the metered service areas;

identifying service assets systems associated with the service consumption area assets, based on service types of service assets and location information for the service assets;

determining location sites for the service assets systems; and

determining energy flow information for the service asset systems;

wherein the customer facility information identifies physical transport systems coupling energy sources to service asset systems and physical resource meters measuring an amount of an energy source utilized by a service asset system.

2. The method of claim 1 , wherein the customer facility information is associated with a distributed facility.

3. The method of claim 1 , wherein the customer facility information includes at least one of: organization functional data; location data; service specification data; operational policy data; facility asset data; service consumption profile data; energy source data; electricity flow data; gas flow data; water flow data; air flow data; or historical operational data.

4. The method of claim 1 , further comprising:

obtaining part of the customer facility information from at least one of:

a configuration management module configured to obtain customer distributed-facility configuration user data;

a policy management module configured to obtain at least one of: energy operations, or service specification-related policy data; or

an administration module configured to enable authorized-user modification of at least one of: customer distributed-facility spatial model data; the operational policy data; or the service specification data.

5. The method of claim 1 , further comprising:

obtaining at least a portion of the energy management industry standard information from an industry energy knowledge base.

6. The method of claim 1 , wherein the one or more operational parameters or operation thresholds includes at least one of: an operational policy set-point; a customer location site-specific set-point; an equipment specific set-point; a utility-specific set-point; or an operating schedule.

7. The method of claim 6 , further comprising:

estimating the one or more operational parameters or operation thresholds using the objective function of cost, energy consumption, and emission.

8. An energy management modeling system, comprising:

a processor; and

a memory storing processor-executable instructions comprising instructions for:

obtaining customer facility information for a facility and a customer business type;

obtaining energy management industry standard information related to the customer business type;

generating a baseline customer knowledge base, based on the obtained energy management industry standard information;

obtaining facility historical operational information and operational policy information;

generating a first energy operational model using the customer facility information, the baseline customer knowledge base, the facility historical operational information, and the operational policy information;

generating a mapping of energy sources to asset systems, using the first energy operational model;

generating an optimized energy operational model using the mapping of the energy sources to asset systems, wherein the optimized energy operational model utilizes an objective function of cost, energy consumption, and emission;

wherein the optimized energy operational model includes one or more operational parameters or operation thresholds;

providing the optimized energy operational model; and

controlling the asset systems within the facility using the optimized energy operational model;

wherein the instructions for generating the mapping of the energy sources to the asset systems further comprise instructions for:

identifying service consumption area assets and metered service areas; associating each identified service consumption area asset with one or more of the metered service areas;

identifying service asset systems associated with the service consumption area assets, based on service types of service assets and location information for the service assets;

determining location sites for the service asset systems; and

determining energy flow information for the service asset systems;

wherein the customer facility information identifies physical transport systems coupling energy sources to service asset systems and physical resource meters measuring an amount of an energy source utilized by a service asset system.

9. The system of claim 8 , wherein the customer facility information is associated with a distributed facility.

10. The system of claim 8 , wherein the customer facility information includes at least one of: organization functional data; location data; service specification data; operational policy data; facility asset data; service consumption profile data; energy source data; electricity flow data; gas flow data; water flow data; air flow data; or historical operational data.

11. The system of claim 8 , the memory further storing instructions for: obtaining part of the customer facility information from at least one of:

a configuration management module configured to obtain customer distributed-facility configuration user data;

a policy management module configured to obtain at least one of: energy operations, or service specification-related policy data; or

an administration module configured to enable authorized-user modification of at least one of: customer distributed-facility spatial model data; the operational policy data; or the service specification data.

12. The system of claim 8 , the memory further storing instructions for:

obtaining at least a portion of the energy management industry standard information from an industry energy knowledge base.

13. The system of claim 8 , wherein the one or more operational parameters or operation thresholds includes at least one of: an operational policy set-point; a customer location site-specific set-point; an equipment specific set-point; a utility-specific set-point; or an operating schedule.

14. The system of claim 13 , the memory further storing instructions for:

estimating the one or more operational parameters or operation thresholds using the objective function of cost, energy consumption, and emission.

15. A non-transitory computer-readable medium storing energy management modeling instructions comprising instructions for:

obtaining customer facility information for a facility and a customer business type;

obtaining energy management industry standard information related to the customer business type;

generating a baseline customer knowledge base, based on the obtained energy management industry standard information;

obtaining facility historical operational information and operational policy information;

generating a first energy operational model using the customer facility information, the baseline customer knowledge base, the facility historical operational information, and the operational policy information;

generating a mapping of energy sources to asset systems, using the first energy operational model;

generating an optimized energy operational model using the mapping of the energy sources to asset systems, wherein the optimized energy operational model utilizes an objective function of cost, energy consumption, and emission;

wherein the optimized energy operational model includes one or more operational parameters or operation thresholds; and

providing the optimized energy operational model; and

controlling the asset systems within the facility using the optimized energy operational model;

wherein the instructions for generating the mapping of the energy sources to the asset systems further comprise instructions for:

identifying service consumption area assets and metered service areas; associating each identified service consumption area asset with one or more of the metered service areas;

identifying service assets systems associated with the service consumption area assets, based on service types of service assets and location information for the service assets;

determining location sites for the service asset systems; and

determining energy flow information for the service asset systems;

wherein the customer facility information identifies physical transport systems coupling energy sources to service asset systems and physical resource meters measuring an amount of an energy source utilized by a service asset system.

16. The medium of claim 15 , wherein the customer facility information is associated with a distributed facility.

17. The medium of claim 15 , wherein the customer facility information includes at least one of: organization functional data; location data; service specification data;

operational policy data; facility asset data; service consumption profile data; energy source data; electricity flow data; gas flow data; water flow data; air flow data; or historical operational data.

18. The medium of claim 15 , further storing instructions for:

obtaining part of the customer facility information from at least one of:

a configuration management module configured to obtain customer distributed-facility configuration user data;

a policy management module configured to obtain at least one of: energy operations, or service specification-related policy data; or

an administration module configured to enable authorized-user modification of at least one of: customer distributed-facility spatial model data; the operational policy data; or the service specification data.

19. The medium of claim 15 , further storing instructions for:

obtaining at least a portion of the energy management industry standard information from an industry energy knowledge base.

20. The medium of claim 15 , wherein the one or more operational parameters or operation thresholds includes at least one of: an operational policy set-point; a customer location site-specific set-point; an equipment specific set-point; a utility-specific set-point; or an operating schedule.

21. The medium of claim 20 , further storing instructions for:

estimating the one or more operational parameters or operation thresholds using the objective function of cost, energy consumption, and emission.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 27, 2018
From: AUTOMATED LOGIC CORPORATION
To: CARRIER CORPORATION
Reel/Frame 046034/0340 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 24, 2018
From: CHUBB ALBA CONTROL SYSTEMS LIMITED
To: AUTOMATED LOGIC CORPORATION
Reel/Frame 045623/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 12, 2013
From: GHOSH, SUDIPTA; MANDAL, SUBHASIS; MEGHANI, RAVI; SRIVASTAVA, ROHIT
To: WIPRO LIMITED
Reel/Frame 031772/0951 →
Priority Claims (1)
IN 4894/CHE/2013 · Oct 30, 2013 · national
Continuity (1)
Related Publication 20150120073A1 · Apr 30, 2015