Abstract: A computer-implemented method for predicting a modeled state of health of an electrical energy store having at least one electrochemical unit, in particular a battery cell, or by according to rule-based and/or data-based mapping even in an entire system. The method including providing a data-based state of health model trained to assign a modeled state of health to the electrical energy store based on characteristics of operating variables of the electrical energy store; generating a characteristic of at least one load variable based on a provided usage pattern using a usage model; generating the characteristics of operating variables based on the at least one load variable using a predefined dynamic model; and determining a predicted modeled state of health based on the generated characteristics of operating variables.

Abstract: A method for peak load shaving uses an energy storage device. A controller predicts the threshold above which the energy consumed by a load is equal to the capacity of the storage device. Load forecasting methods include artificial neural networks and support vector machines to compute a real-time threshold estimate that is used to decide when to dispatch power from the energy storage device. The threshold estimates are adapted iteratively, using the most recent observed load and previous threshold estimates. The adaptive algorithm reduces the peak demand charge assessed to the customer compared to existing static approaches that compute dispatch policies in advance.

Abstract: A method of controlling an energy storage system to reduce a peak energy procurement includes obtaining a load forecast for an energy consumption system, and, at each of a plurality of predetermined time intervals during a predetermined time period, observing a charge state of an energy storage component and a load presented by the energy consumption system, determining an energy action for the energy storage component as a function of the load forecast, observed load and observed charge state, and executing the determined energy action.

Abstract: A planning tool and method for energy asset sizing and optimal dispatch is provided for managing the inter-temporal optimization problem caused by adding energy assets to an energy system. The tool and method are configured to optimally size and to operate energy assets including energy storage assets. Value stream models, asset cost models, constraint and operation strategies are applied in the tool and the optimization process.

Abstract: A method and apparatus is provided to optimize the performance of energy resources interconnected in an energy system to provide an economic benefit to a customer. A dispatch controller and method of operation therefor provides for delivery of power from a number of energy resources to ensure acceptable operation of all components of the energy system while compensating for short-term fluctuations of loads or power generation from renewable resources. Optimized energy systems include an electric load, dispatchable sources of energy such as an electrical grid, diesel generators, combined heat and power generators; renewable sources of energy such as photovoltaic cells and wind turbines; and storage resources such as electrochemical batteries or pumped hydro reserves. The energy controller operates in one or more different modes, each of which is configured to operate an energy system according to different operating conditions.

Abstract: A system and method for controlling the distribution of energy from a plurality of energy resources to a load. The system includes an energy system controller to control the distribution of energy to an electric load provided by a plurality of energy resources. The energy resources include dispatchable sources of energy such as diesel generators and combined heat and power generators; renewable sources of energy including photo-voltaic cells, wind turbines, and geothermal sources; and storage resources such as electrochemical batteries or pumped hydro reserves.

Abstract: A system and method for controlling the distribution of energy from a plurality of energy resources to a load. The system includes an energy system controller to control the distribution of energy to an electric load provided by a plurality of energy resources. The energy resources include dispatchable sources of energy such as diesel generators and combined heat and power generators; renewable sources of energy including photo-voltaic cells, wind turbines, and geothermal sources; and storage resources such as electrochemical batteries or pumped hydro reserves.