Abstract: The disclosed system, device and method provides for coordinated control of both supply and demand of/for electrical energy behind the utility meter within a grid. Several facilities each include network devices, one or more supply devices and one or more energy use devices positioned electrically behind a meter for each facility, which meter is used by the utility to measure and bill for usage of the energy supply. The network devices have the ability to measure use of the energy use devices, as well as control their use and the network devices also have the ability to measure the supply capacity and control the supply of energy to the grid from those supply devices. A computer has software executing thereon which modifies/controls use and supply of electrical energy devices based on available supply at the facilities, usage at the facilities and the availability to make adjustments to supply and demand across the several facilities.

Abstract: A system and method of managing operation of environmental heating/cooling devices adjacent or designed to direct heated/cooled air adjacent a frequently opening/closing opening in a facility is provided. The system monitors various states and activities of the facility that result in the window/door opening/closing and employs strategic use of the additional heating/cooling device to maintain a comfortable environment adjacent the opening while avoiding un-necessary operation of the heating/cooling device.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment installed at a facility or many pieces of equipment at a plurality of facilities, where the system is provided with an initial baseline energy usage signature for the equipment, which is modified by measured energy usage and by at least one peripheral sensor measurement data to create a modified energy usage signature. The system uses artificial intelligence to learn and adapt the baseline energy usage signature to learn the business operation and account for external variables such as temperature variance and increased business flow or an interaction between devices. The smart system can identify when a piece of equipment falls outside of “normal” operation and determines what automatic action is to be taken for that piece of equipment.

Abstract: A system and method of securing access to energy reporting and controlling devices in a facility through context specific commands that are validated against anomalous activities. Should anomalies occur, secondary authentication is performed to allow for exceptions and device access can be revoked preventing intrusions whether for unauthorized monitoring or control of the system.

Abstract: A system and method of managing operation of environmental heating/cooling devices adjacent or designed to direct heated/cooled air adjacent a frequently opening/closing opening in a facility is provided. The system monitors various states and activities of the facility that result in the window/door opening/closing and employs strategic use of the additional heating/cooling device to maintain a comfortable environment adjacent the opening while avoiding un-necessary operation of the heating/cooling device.

Abstract: A system and method of energy resource reservation for an energy storage system based on business requirements is presented. Energy reservations are created and prioritized based on both energy savings potential and business continuity needs.

Abstract: A system and method of capturing and reutilizing wastewater created by the ice making process to remove heat from various inputs/outputs of the ice maker as well as cooling the input water for the icemaker and cooling the coils of the compressor using heat exchangers that utilize recirculated fluid for cooling.

Abstract: A system and method of recycling heat from a cooking vent by circulating exhaust gasses captured by the vent through a warming element via fluid conveying elements and releasing the exhaust gasses back into the vent for expulsion to the outside environment, preferably the system and method are used in a restaurant, preferably a quick serve restaurant where food is cooked and kept in warming areas prior to serving to customers.

Abstract: A system for recuperating waste heat for charging backup batteries and/or driving electrical loads is presented using thermoelectric generators to perform battery charging, particularly in quick serve restaurants (QSRs). Machine learning is applied to estimating the availability of power from thermoelectric generating based devices and for predicting and planning for the use of the available stored energy for peak energy usage periods thus reducing demand charges.

Abstract: A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

Abstract: A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

Abstract: A system for improving the efficiency of HVAC systems by reusing condensate and spraying it onto the coils to cool them. The flow rate of the spray is adjusted based on condensate levels and peak usage, temperature, and cost periods. The system further learns and adapts to the energy usage pattern of the equipment and the condensate levels and optimizes the flow of condensate.

Abstract: A system and method of securing access to energy reporting and controlling devices in a facility through context specific commands that are validated against anomalous activities. Should anomalies occur, secondary authentication is performed to allow for exceptions and device access can be revoked preventing intrusions whether for unauthorized monitoring or control of the system.

Abstract: A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

Abstract: A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

Abstract: A system and method of managing operation of environmental heating/cooling devices adjacent or designed to direct heated/cooled air adjacent a frequently opening/closing opening in a facility is provided. The system monitors various states and activities of the facility that result in the window/door opening/closing and employs strategic use of the additional heating/cooling device to maintain a comfortable environment adjacent the opening while avoiding un-necessary operation of the heating/cooling device.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment operating according to a control input including at least one sensor for measuring an energy usage of the equipment an generating a baseline energy usage over time signature that is used to compare active energy usage measurements to so as to determine operational deviations. The system includes software that matches and compares equipment operation to established norms and can modify the functioning of the equipment when threshold deviations are detected. The system includes the ability to learn the functioning of the equipment and can adjust for dynamically changing conditions to avoid generation of false alerts or alarms while at the same time detecting longer term deviations that if left unchecked, could shorten the lifespan of the equipment and increase the costs associated with running the equipment.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment installed at a facility or many pieces of equipment at a plurality of facilities, where the system is provided with an initial baseline energy usage signature for the equipment, which is modified by measured energy usage and by at least one peripheral sensor measurement data to create a modified energy usage signature. The system uses artificial intelligence to learn and adapt the baseline energy usage signature to learn the business operation and account for external variables such as temperature variance and increased business flow or an interaction between devices. The smart system can identify when a piece of equipment falls outside of “normal” operation and determines what automatic action is to be taken for that piece of equipment.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment installed at a facility or many pieces of equipment at a plurality of facilities, where the system is provided with an initial baseline energy usage signature for the equipment, which is modified by measured energy usage and by at least one peripheral sensor measurement data to create a modified energy usage signature. The system uses artificial intelligence to learn and adapt the baseline energy usage signature to learn the business operation and account for external variables such as temperature variance and increased business flow or an interaction between devices. The smart system can identify when a piece of equipment falls outside of “normal” operation and determines what automatic action is to be taken for that piece of equipment.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment operating according to a control input including at least one sensor for measuring an energy usage of the equipment an generating a baseline energy usage over time signature that is used to compare active energy usage measurements to so as to determine operational deviations. The system includes software that matches and compares equipment operation to established norms and can modify the functioning of the equipment when threshold deviations are detected. The system includes the ability to learn the functioning of the equipment and can adjust for dynamically changing conditions to avoid generation of false alerts or alarms while at the same time detecting longer term deviations that if left unchecked, could shorten the lifespan of the equipment and increase the costs associated with running the equipment.