A method of controlling a chiller is disclosed. The method includes predicting, by a controller, a quantity of energy used by a chiller, based on a predicted flow of heat into one or more rooms in a building, to maintain a temperature of the one or more rooms in a building at a desired temperature during each of a first plurality of time periods of a chilling cycle. The predicted flow of heat is calculated using a predicted condition. A set point of the chiller is automatically adjusted during the chilling cycle using the predicted quantity of energy.

An air conditioning control device as an aspect of the present invention includes a processor configured to execute a program to provide at least a control period calculator and a control instructor.

The control period calculator calculates, based on control history about control over an air conditioning device and operation history about operations of the air conditioning device, a control period during which the control is maintained.

The control instructor gives an instruction to the air conditioning device to cause the control to be maintained until the control period elapses after start of the control.

A frequency response optimization system includes a battery configured to store and discharge electric power, a power inverter configured to control an amount of the electric power stored or discharged from the battery at each of a plurality of time steps during a frequency response period, and a frequency response controller. The frequency response controller is configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, use the statistics of the regulation signal to generate an optimal frequency response midpoint that achieves a desired change in a state-of-charge (SOC) of the battery while participating in a frequency response program, and use the midpoints to determine optimal battery power setpoints for the power inverter. The power inverter is configured to use the optimal battery power setpoints to control the amount of the electric power stored or discharged from the battery.

A building manager includes a communications interface configured to receive time-of-use information from a smart energy grid and a processing circuit configured to process the time-of-use information received from the smart energy grid to generate load shedding decisions for building subsystems or devices including determining when to utilize energy from energy storage equipment. The processing circuit is configured to determine an amount of greenhouse gas emissions corresponding to the load shedding decisions and convert the amount of greenhouse gas emissions into tradable carbon credits. The processing circuit is configured to generate a graphical user interface including modules indicating the amount of greenhouse gas emissions, the tradable carbon credits, or energy savings resulting from the load shedding decisions. The processing circuit is configured to rearrange, resize, or reconfigure the modules or change the modules for different modules in response to a user input or selection provided via the graphical user interface.

A method includes determining control setpoints for equipment based on a time-varying availability of green energy and revenue from an incentive program of an energy provider. The method also includes controlling the equipment using the control setpoints.