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.

Energy storage devices, servers, and methods for controlling the same are disclosed. The energy storage device can include at least one battery pack, a network interface configured to exchange data with a server, and a connector that receives alternating current (AC) power from an internal power network or outputs AC power to the internal power network. Energy storage device can also include a power converter configured to convert the AC power from the internal power network into direct current (DC) power based on the information about the power to store when information about power to store is received from the server, or, convert DC power stored in the battery pack into AC power based on the information about the power to output when information about power to output to the internal power network is received from the server. Accordingly, energy may be more efficiently stored.

Lighting units, systems, and methods are described herein for determining whether occupancy detections are legitimate or not. Methods and systems are further described herein for powering down a network of power over ethernet (PoE) components.

An energy supply system and electrical outlet are provided. An energy supply system includes an electrical power source connected to an inverter device for forming a local power grid. The electrical outlet includes frequency measuring means for measuring the frequency of the electrical power feed into said local power grid by said inverter device and power control means for controlling said electrical power provided to a load by said electrical outlet dependent on the measured frequency.

A building energy system includes a controller configured to obtain representative loads and rates for a plurality of scenarios and generate a cost function comprising a risk attribute and multiple demand charges. Each of the demand charges corresponds to a demand charge period and defines a cost based on a maximum amount of at least one of the energy resources purchased within the corresponding demand charge period. The controller is configured to determine, for each of the multiple demand charges, a peak demand target for the corresponding demand charge period by performing a first optimization of the risk attribute over the plurality of the scenarios, allocate an amount of the one or more energy resources to be consumed, produced, stored, or discharged by the building equipment by performing a second optimization subject to one or more constraints based on the peak demand target for each of the multiple demand charges.

A system for allocating one or more resources including electrical energy across equipment that operate to satisfy a resource demand of a building. The system includes electrical energy storage including one or more batteries configured to store electrical energy purchased from a utility and to discharge the stored electrical energy. The system further includes a controller configured to determine an allocation of the one or more resources by performing an optimization of a value function. The value function includes a monetized cost of capacity loss for the electrical energy storage predicted to result from battery degradation due to a potential allocation of the one or more resources. The controller is further configured to use the allocation of the one or more resources to operate the electrical energy storage.

A mobile power conditioning system that does not require a battery comprises an energy-capturing assembly and a power conditioner. The energy-capturing assembly converts captured energy into an electric-power input. The power conditioner comprises an input terminal, a primary-output terminal, a controller and a secondary output terminal. The power conditioner receives the electrical power input and delivers a conditioned electrical power output. The primary-output terminal is configured to receive and transfer part or all of the conditioner output to a primary load. The controller regulates the transfer of an un-transferred portion of the conditioner output to the secondary output terminal so that an aggregated draw from the first output terminal and the second output terminal is less than or equal to the conditioner output. The secondary output terminal is configured to transfer the un-transferred portion of the electrical power input to a secondary load.

A computer-implemented method and system is provided. The system manipulates load curves corresponding to time-variant energy demand and consumption of a built environment. The system analyzes a first, second, third, fourth and a fifth set of data. The first set of data is associated with energy consuming devices. The second set of data is associated with an occupancy behavior of users. The third set of data is associated with energy storage and supply means. The fourth set of data is associated with environmental sensors. The fifth set of data is associated with energy pricing models. The system executes control routines for controlling peak loading conditions associated with the built environment. The system manipulates an optimized operating state of the energy consuming devices. The system integrates the energy storage and supply means for optimal reduction of the peak level of energy demand concentrated over the limited period of time.

A method for controlling an uninterruptible power supply (UPS) having a battery includes powering a load coupled to the UPS using utility power, determining whether an energy cost associated with the utility power exceeds a threshold cost, determining whether a charge level of the battery exceeds a threshold charge level, and powering the load from the battery in response to determining that the energy cost exceeds the threshold cost and that the charge level of the battery exceeds the threshold charge level.

An energy storage system for a building includes a battery and an energy storage controller. The battery is configured to store electrical energy purchased from a utility and to discharge stored electrical energy for use in satisfying a building energy load. The energy storage controller is configured to generate a cost function including a peak load contribution (PLC) term. The PLC term represents a cost based on electrical energy purchased from the utility during coincidental peak hours in an optimization period. The controller is configured to modify the cost function by applying a peak hours mask to the PLC term. The peak hours mask identifies one or more hours in the optimization period as projected peak hours and causes the energy storage controller to disregard the electrical energy purchased from the utility during any hours not identified as projected peak hours when calculating a value for the PLC term.