A thermal energy exchange and ventilated hollow core slab system and method within a building where the slab has an air passage with an inlet and outlet, an air handler unit having adjustable heating/cooling structure and, and ventilation structure connected to the hollow core concrete slab, and a building control connected to the hollow core concrete slab and air handler system for relative thermal exchange between the air and hollow core concrete slab to control user comfort; where the building is grid enabled.

An air conditioner and a method for controlling an air conditioner are provided. The air conditioner may include a case that forms a space therein with an open lower side; a panel that is disposed at lower side of the case, and has an inlet and a plurality of outlets disposed around the inlet; a fan that is disposed in the case; a plurality of wind adjuster that is disposed in each of the plurality of outlets, and adjusts a direction of air flowing through each of the plurality of outlets; a camera that obtains an image of an indoor space; and a controller that controls the plurality of wind adjusters based on image information obtained from the camera. The controller may divide the plurality of outlets into a first area outlet and a second area outlet, and adjust each of the plurality of wind adjusters so that airflows of air discharged through the first area outlet and airflows of air discharged through the second area outlet are formed differently.

An energy management system is disclosed for optimizing energy usage of HVAC equipment in a building complex. The energy management system is configured to be integrated into an existing Building Automation System (“BAS system”) in order to process the data points in a less time consuming and efficient manner relative to known systems that map one point at a time. The BAS system data points are “point mapped”, i.e., uploaded to a file in the “cloud”, and are updated continuously as a function of time and deposited in a “bucket” in which the data points are unfiltered. These data points can then be filtered by node path and equipment in order to bulk tag equipment and bulk tag points in each of the buildings. These bulk tagged points data points can then be linked to specific rules in an analytical rules library. The system automatically applies predetermined analytical rules to tagged HVAC data points without specific knowledge of the rule by the user. These analytical rules are used to determine energy usage for each type of equipment and are pre-stored in the cloud. By selecting an equipment type, the correct analytical rule is automatically applied in bulk to the selected HVAC equipment type, and a report may be selectively generated for the selected piece(s) of HVAC equipment.

An energy management system is disclosed for optimizing energy usage of HVAC equipment in a building complex. The energy management system is configured to be integrated into an existing Building Automation System (“BAS system”) in order to process the data points in a less time consuming and efficient manner relative to known systems that map one point at a time. The BAS system data points are “point mapped”, i.e., uploaded to a file in the “cloud”, and are updated continuously as a function of time and deposited in a “bucket” in which the data points are unfiltered. These data points can then be filtered by node path and equipment in order to bulk tag equipment and bulk tag points in each of the buildings. These bulk tagged points data points can then be linked to specific rules in an analytical rules library. The system automatically applies predetermined analytical rules to tagged HVAC data points without specific knowledge of the rule by the user. These analytical rules are used to determine energy usage for each type of equipment and are pre-stored in the cloud. By selecting an equipment type, the correct analytical rule is automatically applied in bulk to the selected HVAC equipment type, and a report may be selectively generated for the selected piece(s) of HVAC equipment.

An integrated heat pump energy recovery ventilator system is provided for installing in a chase of a wall, the integrated heat pump energy recovery ventilator system comprising an air intake duct; an air outlet duct; a pump in fluid communication with the air intake duct; and in order: a heat pump compressor plate; an outer insulation panel; an outer energy recovery ventilator core; a heat pump evaporator plate and an inner energy recovery ventilator core, wherein the heat pump condenser plate, the outer heat pump energy recovery ventilator core, the evaporator plate and the inner heat pump energy recovery ventilator core all include at least a first series of channels and a second series of channels, the second series of channels disposed normal to the first series of channels, each series of channels.

A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

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.

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.

A system and method for determining HVAC set points are provided. A present season is determined. An allowable temperature comfort range for each occupant in a room in a space is also determined. For each room, an energy saving set point temperature is calculated for the space based on the allowable temperature comfort range for that room. A set point temperature for the space is determined based on the energy saving set point temperatures for each of the rooms in the space. The set point temperature is provided to a thermostat or HVAC system to regulate temperature in the building.

A system and method for determining HVAC set points are provided. A present season is determined. An allowable temperature comfort range for each occupant in a room in a space is also determined. For each room, an energy saving set point temperature is calculated for the space based on the allowable temperature comfort range for that room. A set point temperature for the space is determined based on the energy saving set point temperatures for each of the rooms in the space. The set point temperature is provided to a thermostat or HVAC system to regulate temperature in the building.