Abstract:
System and methods for controlling an air conditioning (AC) system includes defining one or more zones to achieve control actions based on local conditions to create a localized dynamic system for localized control, wherein zones are defined by considering hot and cool areas of the room or location of heat generating equipment, wherein the zone definition changes dynamically based on time of day or based on occupancy, or wherein zones are defined in a customizable manner based on sensitivity analysis considering energy savings and comfort tradeoff or considering equipment with predetermined temperature restrictions; monitoring through sensor placement at predetermined locations in the room based on importance of the equipment, heat generation zones and proximity to the AC; determining appropriate temperature setpoints based on existing operating conditions; and applying temperature information at the predetermined locations to generate rules for the actuation of AC systems.
Abstract:
A method of determining the location of actuators and sensors for climate control that includes providing a model of temperature and airflow within a room. A matrix for the placement of sensors is calculated using a Lyapunov equation. A Lyapunov equation includes a matrix for the transition state from the model of temperature and airflow. A trace of the matrix for the placement of sensors is maximized to provide optimum placement of the sensors. A matrix for the placement of actuators within the model is calculated using the Lyapunov equation. A variable for the Lyapunov equation includes the matrix for the transition state obtained from the model of temperature and airflow. A trace of the matrix for the placement of actuators is maximized to provide optimum placement of the actuators within the room.
Abstract:
Systems and methods for energy distribution for one or more grid-scale Energy Storage Systems (ESSs), including generating one or more time series models to provide forecasted pricing data for one or more markets, determining battery life and degradation costs for one or more batteries in or more ESSs to provide battery life and degradation costs, optimizing bids for the one or more markets to generate optimal bids based on at least one of the forecasted pricing data or the battery life and degradation costs, and distributing energy to or from the one or more ESSs based on the optimal bids generated.
Abstract:
Systems and methods for forecasting energy usage data for one or more markets, including providing energy variable input data for one or more energy variables, transforming the energy variable input data using functions of the energy variable input data to generate transformed functions, modeling the transformed functions as one or more time series models, the time series models representing energy usage over time and energy usage predictions, and generating forecasted energy usage data based on the one or more time series models for management of one or more energy resources.
Abstract:
A method and system are provided for managing local energy resources of an energy system. The method includes determining, offline by a processor, an offline optimal resource allocation of the local energy resources using a Pontryagin Maximum Principle that involves a continuous, unbounded state. The method further includes determining, in real-time by the processor, a real-time optimal resource allocation of the local energy resources using offline-determined energy storage shadow pricing. The method also includes managing, by the processor, an allocation of the local energy resources in accordance with the offline optimal resource allocation and the real-time optimal resource allocation.
Abstract:
Systems and methods for energy distribution for one or more grid-scale Energy Storage Systems (ESSs), including generating one or more time series models to provide forecasted pricing data for one or more markets, determining battery life and degradation costs for one or more batteries in or more ESSs to provide battery life and degradation costs, optimizing bids for the one or more markets to generate optimal bids based on at least one of the forecasted pricing data or the battery life and degradation costs, and distributing energy to or from the one or more ESSs based on the optimal bids generated.
Abstract:
A method and system are provided. The method includes generating a power model, modeling power demands of at least one of a building and subsystems thereof, responsive to measured power-related inputs specific to the building and forecasted power-related inputs. The method further includes controlling, by a processor-based supervisory controller, power consumption of at least one of the building and the subsystems responsive to the power demands modeled by the power model.
Abstract:
Systems and methods are disclosed to evaluate the impact of a constraint on the performance of the microgrid by receiving as input a set of solar power, load and grid cost conditions; applying dynamic programming to determine optimal battery dispatch and the imported grid power; and optimizing microgrid operation with a chosen constraint of interest.
Abstract:
System and methods for controlling an air conditioning (AC) system includes defining one or more zones to achieve control actions based on local conditions to create a localized dynamic system for localized control, wherein zones are defined by considering hot and cool areas of the room or location of heat generating equipment, wherein the zone definition changes dynamically based on time of day or based on occupancy, or wherein zones are defined in a customizable manner based on sensitivity analysis considering energy savings and comfort tradeoff or considering equipment with predetermined temperature restrictions; monitoring through sensor placement at predetermined locations in the room based on importance of the equipment, heat generation zones and proximity to the AC; determining appropriate temperature setpoints based on existing operating conditions; and applying temperature information at the predetermined locations to generate rules for the actuation of AC systems.