Abstract: An energy plant includes a plurality of subplants, a high level optimizer, a low level optimizer, and a controller. The plurality of subplants include a cogeneration subplant configured to generate steam and electricity and a chiller subplant electrically coupled to the cogeneration subplant and configured to consume the electricity generated by the cogeneration subplant. The high level optimizer is configured to determine recommended subplant loads for each of the plurality of subplants. The recommended subplant loads include a rate of steam production and a rate of electricity production of the cogeneration subplant and a rate of electricity consumption of the chiller subplant. The low level optimizer is configured to determine recommended equipment setpoints for equipment of the plurality of subplants based on the recommended subplant loads. The controller is configured to operate the equipment of the plurality of subplants based on the recommended equipment setpoints.

Abstract: A method includes performing, by one or more processors, a scan of a building management system to determine an indication of available resources of the building management system, determining, by the one or more processors, by processing the indication of the available resources of the building management system using at least one generative artificial intelligence (AI) model, a difference between the available resources of the building management system and a requirements of a feature for the building management system, and performing, by the one or more processors, one or more actions according to the difference.

Abstract: A multi-tiered data storage system for building management system (BMS) data includes a plurality of data stores including a first data store and a second data store. The system further includes a data access router configured to provide a consistent endpoint for the BMS data to an application that provides or consumes the BMS data regardless of whether the BMS data is stored in the second data store or the first data store, obtain a requested data object of the BMS data from the second data store in response to a determination that the requested data object is available in the second data store, and obtain the requested data object from the first data store in response to a determination that the requested data object is not available in the second data store.

Abstract: A method for completing a project to provide a building automation system includes running an automated scan configured to find points and controllers in the building automation system, validating completion of a first subset of planned tasks for providing the building automation system based on the scan, identifying a second subset of the planned tasks for providing the building automation system as not yet completed based on the scan, and causing completion of the second subset of the planned tasks.

Abstract: A system includes a system configuration tool configured to provide a plan for installation of a building management system (BMS), a commissioning wizard configured to commission devices and equipment of the BMS as installed at a building, a performance verification tool configured to run a scan of the BMS and collected combined commissioning data by combining a result of the scan with the plant from the system configuration tool and commissioning information from the commissioning wizard, an auto-configurator configured to building a digital twin of the BMS using the combined commissioning data, and an enterprise manager configured to alter operations of the equipment of the BMS in affecting a variable state or condition of the building using a smart building feature reliant on the digital twin.

Abstract: A method includes running a scan configured to determine available resources of a building management system, determining a difference between the available resources and requirements of a smart building feature, determining one or more updates to the building management system expected to eliminate the difference, and implementing the one or more updates.

Abstract: An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (energy) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

Abstract: A multi-tiered data storage system for building management system (BMS) data includes a plurality of data stores including a first data store and a second data store. The system further includes a data access router configured to provide a consistent endpoint for the BMS data to an application that provides or consumes the BMS data regardless of whether the BMS data is stored in the second data store or the first data store, obtain a requested data object of the BMS data from the second data store in response to a determination that the requested data object is available in the second data store, and obtain the requested data object from the first data store in response to a determination that the requested data object is not available in the second data store.

Abstract: A multi-tiered data storage system for building management system (BMS) data includes a plurality of data stores including a first data store and a second data store. The system further includes a data access router configured to provide a consistent endpoint for the BMS data to an application that provides or consumes the BMS data regardless of whether the BMS data is stored in the second data store or the first data store, obtain a requested data object of the BMS data from the second data store in response to a determination that the requested data object is available in the second data store, and obtain the requested data object from the first data store in response to a determination that the requested data object is not available in the second data store.

Abstract: A multi-tiered data storage system for building management system (BMS) data includes a plurality of data stores including a first data store and a second data store. The system further includes a data access router configured to provide a consistent endpoint for the BMS data to an application that provides or consumes the BMS data regardless of whether the BMS data is stored in the second data store or the first data store, obtain a requested data object of the BMS data from the second data store in response to a determination that the requested data object is available in the second data store, and obtain the requested data object from the first data store in response to a determination that the requested data object is not available in the second data store.

Abstract: A system for monitoring and controlling a central plant includes a high level optimizer, a subplant monitor, a user interface, and a dispatch graphical user interface (GUI) generator. The central plant includes a plurality of subplants configured to serve a thermal energy load. The high level optimizer is configured to determine recommended subplant loads for each of the plurality of subplants. The subplant monitor is configured to monitor the central plant and identify actual subplant loads for each of the plurality of subplants. The user interface is configured to receive manual subplant loads specified by a user. The dispatch GUI generator is configured to generate a dispatch GUI and present the dispatch GUI via the user interface. The dispatch GUI includes the recommended subplant loads, the actual subplant loads, and the manual subplant loads.

Abstract: An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (energy) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

Abstract: An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (ELDR) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

Abstract: A central plant optimization system for designing and operating a central plant includes a planning tool, a central plant controller, and an optimization platform. The planning tool is configured to generate a model of the central plant. The central plant controller is configured to receive the model of the central plant from the planning tool and combine the model of the central plant with timeseries data including a timeseries of predicted energy loads to be served by equipment of the central plant. The optimization platform is configured to receive the model of the central plant combined with the timeseries data, construct an optimization problem using the model of the central plant and the timeseries data, solve the optimization problem to determine an optimal allocation of the energy loads across the equipment of the central plant, and provide optimization results to the central plant controller.

Abstract: A central plant optimization system for designing and operating a central plant includes a planning tool, a central plant controller, and an optimization platform. The planning tool is configured to generate a model of the central plant. The central plant controller is configured to receive the model of the central plant from the planning tool and combine the model of the central plant with timeseries data including a timeseries of predicted energy loads to be served by equipment of the central plant. The optimization platform is configured to receive the model of the central plant combined with the timeseries data, construct an optimization problem using the model of the central plant and the timeseries data, solve the optimization problem to determine an optimal allocation of the energy loads across the equipment of the central plant, and provide optimization results to the central plant controller.

Abstract: An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (ELDR) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

Abstract: An energy plant includes a plurality of subplants, a high level optimizer, a low level optimizer, and a controller. The plurality of subplants include a cogeneration subplant configured to generate steam and electricity and a chiller subplant electrically coupled to the cogeneration subplant and configured to consume the electricity generated by the cogeneration subplant. The high level optimizer is configured to determine recommended subplant loads for each of the plurality of subplants. The recommended subplant loads include a rate of steam production and a rate of electricity production of the cogeneration subplant and a rate of electricity consumption of the chiller subplant. The low level optimizer is configured to determine recommended equipment setpoints for equipment of the plurality of subplants based on the recommended subplant loads. The controller is configured to operate the equipment of the plurality of subplants based on the recommended equipment setpoints.

Abstract: An energy plant includes a plurality of subplants, a high level optimizer, a low level optimizer, and a controller. The plurality of subplants include a cogeneration subplant configured to generate steam and electricity and a chiller subplant electrically coupled to the cogeneration subplant and configured to consume the electricity generated by the cogeneration subplant. The high level optimizer is configured to determine recommended subplant loads for each of the plurality of subplants. The recommended subplant loads include a rate of steam production and a rate of electricity production of the cogeneration subplant and a rate of electricity consumption of the chiller subplant. The low level optimizer is configured to determine recommended equipment setpoints for equipment of the plurality of subplants based on the recommended subplant loads. The controller is configured to operate the equipment of the plurality of subplants based on the recommended equipment setpoints.

Abstract: A system for monitoring and controlling a central plant includes a high level optimizer, a subplant monitor, a user interface, and a dispatch graphical user interface (GUI) generator. The central plant includes a plurality of subplants configured to serve a thermal energy load. The high level optimizer is configured to determine recommended subplant loads for each of the plurality of subplants. The subplant monitor is configured to monitor the central plant and identify actual subplant loads for each of the plurality of subplants. The user interface is configured to receive manual subplant loads specified by a user. The dispatch GUI generator is configured to generate a dispatch GUI and present the dispatch GUI via the user interface. The dispatch GUI includes the recommended subplant loads, the actual subplant loads, and the manual subplant loads.