Architecture for energy management of multi customer multi time zone distributed facilities
First Claim
1. A computer implemented method for energy management of multi customer distributed facilities located in different time zones, comprising:
- forming, by an energy management computing device, energy models on each of the multi customer distributed facilities based on characteristics associated with at least devices, customers, energy sources, and regulatory policies at each of the multi customer distributed facilities;
obtaining, by the energy management computing device, data associated with energy management of the multi customer distributed facilities located in different time zones based on the associated energy models, the obtained data comprising thermal sensor data, asset status data, and automated meter data from each of the multi customer distributed facilities, wherein the thermal sensor data of at least one of the multi customer distributed facilities includes time series temperature data from one or more sensors of the at least one of the multi customer distributed facilities;
transforming, by the energy management computing device, the obtained data for energy management of the multi customer distributed facilities by mediating at least a portion of the obtained data to convert format and naming from one protocol to another uniform protocol;
validating, by the energy management computing device, the transformed data based on geographic region and customer characteristics;
performing thermal profiling, by the energy management computing device, by at least;
segregating and relating the time series temperature data and the asset status data of the transformed and validated data based on a service model and on time zone information about the different time zones in which the multi customer distributed facilities are located to derive temporal and spatial thermal characteristics for each of the multi customer distributed facilities located in the different time zones; and
generating a combined temporal and spatial thermal profile for the multi customer distributed facilities based on a distribution of the derived temporal and spatial thermal characteristics of each of the multi customer distributed facilities located in the different time zones;
performing, by the energy management computing device, a statistical analysis and a root-cause analysis based on the derived temporal and spatial thermal characteristics for each of the multi customer distributed facilities and one or more predefined thresholds or set points;
generating, by the energy management computing device, one or more control commands to optimize energy consumption based on the statistical analysis and the root-cause analysis; and
managing, by the energy management computing device, the energy consumption of the multi customer distributed facilities using the generated control commands.
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Abstract
A system and method for energy management for multi customer multi time zone distributed facilities are disclosed. In one embodiment, data associated with the energy management of the multi customer distributed facilities located in different time zones is obtained based on associated energy models by a data acquisition/integration layer. Further, the obtained data for energy management of the multi customer distributed facilities is transformed by a data management layer. Furthermore, control commands are generated using the transformed data and associated one or more pre-defined thresholds and set-points by an energy transaction layer. Also, energy of the multi customer distributed facilities is substantially simultaneously managed using the generated control commands by the energy transaction layer.
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Citations
25 Claims
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1. A computer implemented method for energy management of multi customer distributed facilities located in different time zones, comprising:
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forming, by an energy management computing device, energy models on each of the multi customer distributed facilities based on characteristics associated with at least devices, customers, energy sources, and regulatory policies at each of the multi customer distributed facilities; obtaining, by the energy management computing device, data associated with energy management of the multi customer distributed facilities located in different time zones based on the associated energy models, the obtained data comprising thermal sensor data, asset status data, and automated meter data from each of the multi customer distributed facilities, wherein the thermal sensor data of at least one of the multi customer distributed facilities includes time series temperature data from one or more sensors of the at least one of the multi customer distributed facilities; transforming, by the energy management computing device, the obtained data for energy management of the multi customer distributed facilities by mediating at least a portion of the obtained data to convert format and naming from one protocol to another uniform protocol; validating, by the energy management computing device, the transformed data based on geographic region and customer characteristics; performing thermal profiling, by the energy management computing device, by at least; segregating and relating the time series temperature data and the asset status data of the transformed and validated data based on a service model and on time zone information about the different time zones in which the multi customer distributed facilities are located to derive temporal and spatial thermal characteristics for each of the multi customer distributed facilities located in the different time zones; and generating a combined temporal and spatial thermal profile for the multi customer distributed facilities based on a distribution of the derived temporal and spatial thermal characteristics of each of the multi customer distributed facilities located in the different time zones; performing, by the energy management computing device, a statistical analysis and a root-cause analysis based on the derived temporal and spatial thermal characteristics for each of the multi customer distributed facilities and one or more predefined thresholds or set points; generating, by the energy management computing device, one or more control commands to optimize energy consumption based on the statistical analysis and the root-cause analysis; and managing, by the energy management computing device, the energy consumption of the multi customer distributed facilities using the generated control commands. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. An energy management system (EMS) for energy management of multi customer distributed facilities located in different time zones, comprising:
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a processor; memory with an energy management engine and coupled to the processor which are configured to execute programmed instructions stored in the memory comprising; forming energy models on each of the multi customer distributed facilities based on characteristics associated with each of devices, customers, energy sources, and regulatory policies at each of the multi customer distributed facilities; obtaining data associated with energy management of the multi customer distributed facilities based on the associated energy models, the obtained data comprising thermal sensor data, asset status data, and automated meter data from each of the multi customer distributed facilities, wherein the thermal sensor data of at least one of the multi customer distributed facilities includes time series temperature data from one or more sensors of the at least one of the multi customer distributed facilities; transforming the obtained data for energy management of the multi customer distributed facilities by mediating at least a portion of the obtained data to convert format and naming from one protocol to another uniform protocol; validating the transformed data based on geographic region and customer characteristics; performing thermal profiling by at least; segregating and relating the time series temperature data and the asset status data of the transformed and validated data based on a service model and on time zone information about the different time zones in which the multi customer distributed facilities are located to derive temporal and spatial thermal characteristics for each of the multi customer distributed facilities located in the different time zones; and generating a combined temporal and spatial thermal profile for the multi customer distributed facilities based on a distribution of the derived temporal and spatial thermal characteristics of each of the multi customer distributed facilities located in the different time zones performing a statistical analysis and a root-cause analysis based on the derived temporal and spatial thermal characteristics for each of the multi customer distributed facilities and one or more predefined thresholds or set points; generating one or more control commands to optimize energy consumption based on the statistical analysis and the root-cause analysis; and managing the energy consumption of the multi customer distributed facilities using the generated control commands. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. At least one non-transitory computer-readable storage medium for energy management of multi customer distributed facilities located in different time zones, when executed by a computing device, cause the computing device to:
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form energy models on each of the multi customer distributed facilities based on characteristics associated with each of devices, customers, energy sources, and regulatory policies at each of the multi customer distributed facilities; obtain data associated with energy management of the multi customer distributed facilities located in different time zones based on the associated energy models, the obtained data comprising thermal sensor data, asset status data, and automated meter data from each of the multi customer distributed facilities, wherein the thermal sensor data of at least one of the multi customer distributed facilities includes time series temperature data from one or more sensors of the at least one of the multi customer distributed facilities; transform the obtained data for energy management of the multi customer distributed facilities by mediating at least a portion of the obtained data to convert format and naming from one protocol to another uniform protocol; validate the transformed data based on geographic region and customer characteristics; perform thermal profiling by at least; segregating and relating the time series temperature data and the asset status data of the transformed and validated data based on service model and on time zone information about the different time zones in which the multi customer distributed facilities are located to derive temporal and spatial thermal characteristics for each of the multi customer distributed facilities located in the different time zones; and generating a combined temporal and spatial thermal profile for the multi customer distributed facilities based on a distribution of the derived temporal and spatial thermal characteristics of each of the multi customer distributed facilities located in the different time zones; perform a statistical analysis and a root-cause analysis based on the derived temporal and spatial thermal characteristics for each of the multi customer distributed facilities and one or more predefined thresholds or set points; generate one or more control commands to optimize energy consumption based on the statistical analysis and the root-cause analysis; and manage the energy consumption of the multi customer distributed facilities using the generated control commands. - View Dependent Claims (25)
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Specification