Abstract: A heating, ventilation, and air conditioning (HVAC) system includes an air handling unit, a supply airflow damper to direct a supply airflow from the air handling unit to a conditioned space, and one or more filters selectively deployable across a flowpath of the air handling unit to remove one or more contaminants from the supply airflow prior to the supply airflow passing through the supply airflow damper. A control system is operably connected to the one or more filters to direct movement of the one or more filters between a deployed position and a stowed position.

Abstract: A method of estimating power flexibility for a climate system includes receiving a component power flexibility measurement from one or more components of the climate system, and aggregating the component power flexibility measurement from each of the one or more components of the climate system to determine a climate system power flexibility. A method of responding to a fast demand request from an electrical power source for a climate system is also disclosed.

Abstract: Embodiments include a system and method for performing analytics based chiller sequencing. Embodiments include a plurality of chillers, a system controller configured to control the plurality of chillers, and one or more sensors in communication with the controller, the one or more sensors configured to generate operational data based on measured operational parameters of the plurality of chillers. Embodiments include the controller including a processor configured to obtain the operational data, calculate scores for each of the plurality of chillers based on the operational data, and rank the plurality of chillers based on the scores. The processor is further configured to sequence the plurality of chillers based at least in part on the ranking, and control operation of the plurality of chillers based on the sequencing.

Abstract: A heating, ventilation, and air conditioning (HVAC) system includes an air handling unit, a supply airflow damper to direct a supply airflow from the air handling unit to a conditioned space, and one or more filters selectively deployable across a flowpath of the air handling unit to remove one or more contaminants from the supply airflow prior to the supply airflow passing through the supply airflow damper. A control system is operably connected to the one or more filters to direct movement of the one or more filters between a deployed position and a stowed position.

Abstract: An HVAC system includes an air handling unit (AHU), a heat recovery device, and a controller. The controller is configured to determine an average heating or cooling demand of one or more zones served by the AHU, determine if a heating or cooling capacity is available at the heat recovery device, where the capacity available at the heat recovery device is a heating or cooling capacity to heat or cool the air from an outdoor environment with air extracted from the one or more zones served by the AHU, determine a heat recovery command setpoint based on the determined average heating or cooling demand and the determined available heating or cooling capacity, and send a signal indicative of the determined heat recovery command setpoint to at least one of the AHU and the heat recovery device.

Abstract: A self-adaptive smart setback heating, ventilation and air conditioning (HVAC) control system includes an HVAC unit configured to deliver at least one of heated air and cooled air to a target area. A temperature sensor determines a current internal air temperature (IAT) of the target area. An HVAC controller is in signal communication with the HVAC unit and the temperature sensor. The HVAC controller selectively operates in an active mode and a setback mode. The active mode controls the HVAC unit based on a first temperature setpoint value, and the setback mode controls the HVAC unit based on a second temperature setpoint value different from the first temperature setpoint value. The HVAC controller includes an electronic temperature setback unit that is configured change the IAT during the setback mode based on an actively determined upcoming temperature recovery rate.

Abstract: A method of estimating power flexibility for a climate system includes receiving a component power flexibility measurement from one or more components of the climate system, and aggregating the component power flexibility measurement from each of the one or more components of the climate system to determine a climate system power flexibility. A method of responding to a fast demand request from an electrical power source for a climate system is also disclosed.

Abstract: A heating, ventilation, and air conditioning (HVAC) energy management control system includes an HVAC system configured to deliver at least one of heated air and cooled air to a targeted area; and a computing server including an HVAC energy analytics engine in signal communication with the HVAC system. The HVAC energy analytics engine is configured to actively learn historical data of the HVAC system based on at least one of the heated air and the cooled air produced over a time period. The HVAC energy analytics engine determines a predicted energy consumption of the HVAC system based on the historical data, and the HVAC system operates based on the predicted energy consumption.

Abstract: Embodiments include a system and method for performing analytics based chiller sequencing. Embodiments include a plurality of chillers, a system controller configured to control the plurality of chillers, and one or more sensors in communication with the controller, the one or more sensors configured to generate operational data based on measured operational parameters of the plurality of chillers. Embodiments include the controller including a processor configured to obtain the operational data, calculate scores for each of the plurality of chillers based on the operational data, and rank the plurality of chillers based on the scores. The processor is further configured to sequence the plurality of chillers based at least in part on the ranking, and control operation of the plurality of chillers based on the sequencing.

Abstract: A self-adaptive smart setback heating, ventilation and air conditioning (HVAC) control system includes an HVAC unit configured to deliver at least one of heated air and cooled air to a target area. A temperature sensor determines a current internal air temperature (IAT) of the target area. An HVAC controller is in signal communication with the HVAC unit and the temperature sensor. The HVAC controller selectively operates in an active mode and a setback mode. The active mode controls the HVAC unit based on a first temperature setpoint value, and the setback mode controls the HVAC unit based on a second temperature setpoint value different from the first temperature setpoint value. The HVAC controller includes an electronic temperature setback unit that is configured change the IAT during the setback mode based on an actively determined upcoming temperature recovery rate.

Abstract: A heating, ventilation, and air conditioning (HVAC) energy management control system includes an HVAC system configured to deliver at least one of heated air and cooled air to a targeted area; and a computing server including an HVAC energy analytics engine in signal communication with the HVAC system. The HVAC energy analytics engine is configured to actively learn historical data of the HVAC system based on at least one of the heated air and the cooled air produced over a time period. The HVAC energy analytics engine determines a predicted energy consumption of the HVAC system based on the historical data, and the HVAC system operates based on the predicted energy consumption.

Abstract: An energy distribution system includes at least one electric energy load and at least one thermal energy load. A grid of the system selectively supplies electric energy in accordance with a grid tariff profile. The energy distribution system further includes electric and thermal energy sources along with an energy management system that includes a computer processor and a computer readable storage media configured to forecast thermal and electrical energy loads, forecast electric energy generation capability of the electric energy source, forecast thermal energy generation capability of the thermal energy source, and perform an analysis based on energy availability and cost to meet the thermal and electrical energy load forecasts.

Abstract: A control system for an HVAC system having a plurality of HVAC components comprises a controller having a processor and a memory, the controller in signal communication with at least one of the plurality of HVAC components, the controller configured to: determine an aggregate demand of the HVAC system; determine an initial setpoint in response to the aggregate demand; determine a demand forecast in response to the aggregate demand; determine a setpoint offset in response to the demand forecast; generate an adaptive setpoint by combining the initial setpoint and the setpoint offset; and provide the adaptive setpoint to the at least one of the plurality of HVAC components.

Abstract: An HVAC system includes an air handling unit (AHU), a heat recovery device, and a controller. The controller is configured to determine an average heating or cooling demand of one or more zones served by the AHU, determine if a heating or cooling capacity is available at the heat recovery device, where the capacity available at the heat recovery device is a heating or cooling capacity to heat or cool the air from an outdoor environment with air extracted from the one or more zones served by the AHU, determine a heat recovery command setpoint based on the determined average heating or cooling demand and the determined available heating or cooling capacity, and send a signal indicative of the determined heat recovery command setpoint to at least one of the AHU and the heat recovery device.