Carrier Corporation

Ravi Meghani

Sudipta Ghosh

Subhasis Mandal

Rohit Srivastava

Anurag Srivastava

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.

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

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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Bengaluru, India

Ravi Meghani