Building equipment with predictive control
A heating ventilating or air conditioning (HVAC) system includes a unit configured for use in a heating or a cooling operation for an environment. The unit includes an interface configured to receive electric energy from an alternative energy source and a controller configured to perform an optimization of an objective function for the unit to determine a first amount of electric energy to receive from an energy grid and a second amount of the electric energy from the alternative energy source for use in the heating or cooling operation at each time step of an optimization period in response to a cost characteristic of the electric energy received from the energy grid. The unit is configured to use the first amount and the second amount for the heating or cooling operation.
1 . A heating ventilating or air conditioning (HVAC) system, comprising:
a unit configured for use in a heating or a cooling operation for an environment, the unit comprising a physical enclosure comprising:
an interface configured to receive electric energy from an alternative energy source; and
a controller configured to perform an optimization of an objective function for the unit to determine a first amount of electric energy to receive from an energy grid and a second amount of the electric energy from the alternative energy source for use in the heating or cooling operation at each time step of an optimization period in response to a cost characteristic of the electric energy received from the energy grid, wherein the objective function includes the first amount of electric energy and excludes electric energy consumed by equipment outside of the physical enclosure;
wherein the unit is configured to consume the first amount of electric energy and the second amount of electric energy for the heating or cooling operation.
2 . The HVAC system of claim 1 , wherein the cost characteristic of the electric energy comprises a sustainability factor.
3 . The HVAC system of claim 1 , wherein the cost characteristic of the electric energy comprises carbon credit data.
4 . The HVAC system of claim 1 , further comprising one or more photovoltaic panels configured to collect photovoltaic energy;
wherein the controller is configured to determine an optimal amount of the photovoltaic energy to store in the alternative energy source and an optimal amount of the photovoltaic energy to be consumed by the unit at each time step of the optimization period.
5 . The HVAC system of claim 1 , wherein the objective function accounts for:
a cost of the electric energy from the energy grid at each time step of the optimization period; and
a savings resulting from discharging the electric energy from the alternative energy source at each time step of the optimization period.
6 . The HVAC system of claim 1 , wherein the controller is configured to:
receive energy data defining a value per unit of the electric energy from the energy grid at each time step of the optimization period; and
use the energy data as inputs to the objective function.
7 . The HVAC system of claim 1 , wherein the objective function accounts for a demand charge based on a maximum power consumption of the unit during a demand charge period that overlaps at least partially with the optimization period;
wherein the controller is configured to receive energy pricing data defining the demand charge and to use the energy pricing data as inputs to the objective function.
8 . The HVAC system of claim 1 , wherein the unit is a chiller, a pump, cooling tower, or valve.
9 . The HVAC system of claim 1 , further comprising a housing for the unit and the alternative energy source is disposed in the housing.
10 . A heating ventilating or air conditioning (HVAC) system, comprising:
a unit configured for use in a heating or a cooling operation, the unit comprising a physical enclosure comprising:
an interface configured to receive electric energy from an alternative energy source, and
a controller configured to perform an optimization of an objective function for the unit to determine a first amount of electric energy to receive from an energy grid and a second amount of the electric energy from the alternative energy source for use in the heating or cooling operation at each time step of an optimization period in response to a sustainability factor associated with the electric energy received from the energy grid, wherein the objective function includes the first amount of electric energy and excludes electric energy consumed by equipment outside of the physical enclosure;
wherein the unit is configured to consume the first amount of electric energy and the second amount of electric energy for the heating or cooling operation.
11 . The HVAC system of claim 10 , wherein the sustainability factor is related to a source of production of the electric energy from the energy grid.
12 . The HVAC system of claim 10 , wherein the sustainability factor comprises carbon credit data.
13 . The HVAC system of claim 10 , further comprising one or more photovoltaic panels configured to collect photovoltaic energy;
wherein the controller is configured to determine an optimal amount of the photovoltaic energy to store in the alternative energy source and an optimal amount of the photovoltaic energy to be consumed by the unit at each time step of the optimization period.
14 . The HVAC system of claim 10 , wherein the objective function accounts for:
a cost of the electric energy purchased from the energy grid at each time step of the optimization period; and
a savings resulting from discharging the electric energy from the alternative energy source at each time step of the optimization period.
15 . The HVAC system of claim 10 , wherein the controller is configured to:
receive energy data defining a value per unit of the electric energy from the energy grid at each time step of the optimization period; and
use the energy data as inputs to the objective function.
16 . The HVAC system of claim 10 , wherein the objective function accounts for a demand charge based on a maximum power consumption of the unit during a demand charge period that overlaps at least partially with the optimization period;
wherein the controller is configured to receive energy pricing data defining the demand charge and to use the energy pricing data as inputs to the objective function.
17 . The HVAC system of claim 10 , wherein the unit is a chiller, a pump, cooling tower, or valve.
18 . The HVAC system of claim 10 , further comprising a housing for the unit and the alternative energy source is disposed in the housing, the alternative energy source being a fuel cell, photovoltaic source, alternative generator or a battery.
19 . A controller for a central energy facility (CEF) comprising a plurality of powered CEF components comprising a heating ventilating or air conditioning (HVAC) unit having an integrated alternative energy source, the controller configured to:
optimize a device-specific predictive objective function of the HVAC unit to determine a first amount of electric energy for the HVAC unit to receive from an energy grid and a second amount of the electric energy for the HVAC unit to receive from the integrated alternative energy source for use in powering the HVAC unit at each time step of an optimization period in response to a monetary cost or a sustainability factor associated with the electric energy received from the energy grid, wherein the device-specific predictive objective function includes the first amount of electric energy for the HVAC unit and excludes electric energy consumed by other components of the plurality of powered CEF components; and
operate the HVAC unit to consume the first amount of electric energy and the second amount of electric energy to provide heating or cooling.
20 . The controller of claim 19 , wherein the device-specific predictive objective function accounts for:
a cost of the electric energy received from the energy grid at each time step of the optimization period; and
a savings resulting from receiving the electric energy from the integrated alternative energy source at each time step of the optimization period.