Abstract: A system and method for managing power consumption and storage in a power grid. Measurements are received from a plurality of geographically distributed energy management controllers. Each energy management controllers has energy storage units with stored energy. The measurements comprise the energy production and storage capacity of the energy management controllers and their associated energy storage units. The measurements are processed, e.g., aggregated, and displayed on a graphical user interface. Commands are transmitted to a first subset of the energy management controllers to command the units to discharge their stored energy into a power grid through an inverter. Commands are transmitted to a second subset of the plurality of energy management controllers to store energy in each unit's energy storage unit.

Abstract: Systems and methods are provided for controlling a setback mode of a power-consuming device, and for controlling setback recovery of power-consuming devices, in order to make setback and setback recovery more dynamic based on current environmental parameters and previous observed operating parameters, in order to enable more efficient operation of power-consuming devices resulting in reduced energy costs and increased power efficiency.

Abstract: Methods for creating high quality alarms raise EMS operator awareness to abnormal conditions in monitored assets across multiple sites in a single EMS software platform. An embodiment includes steps for accessing an alarm designer software tool that contains a library of alarm definitions and the ability to create new alarm definitions, done and edit existing alarm definitions, lock alarm definitions and delete alarm definitions. Applicable data is defined using channel attributes identifying which channel or channels associated with the multiple monitored sites are to be evaluated for alarming conditions. The alarm frequency, trigger conditions, pending open duration, close conditions, and pending close duration are also defined. Alarms can trigger upon one or more channels' behavior over periods of time and conditional relationships between multiple channels. Close conditions for an alarm can be, but are not required to be, the resolution of the trigger conditions.

Abstract: A thermostat with voltage and current sensing capability is coupled directly to an HVAC unit and provides low latency failure detection and control using an on-board CPU. The thermostat can be configured to detect failure modes using current and voltage sensing and to make autonomous decisions to control the HVAC in response to such measurements.

Abstract: A system and method are disclosed for dynamically learning the optimum energy consumption operating condition for a building and monitor/control energy consuming equipment to keep the peak demand interval at a minimum. The dynamic demand limiting algorithm utilized employs two separate control schemes, one for HVAC loads and one for non-HVAC loads. Separate operating parameters can be applied to the two types of loads and multiple non-HVAC (control zones) loads can be configured. The algorithm uses historical peak demand measurements in its real-time limiting strategy. The algorithm continuously attempts to reduce peak demand within the user configured parameters. When a new peak is inevitable, the algorithm strategically removes and/or introduces loads in a fashion that limits the new peak magnitude and places the operating conditions within the user configured parameters. In an embodiment, the algorithm that examines the previous seven days of metering information to identify a peak demand interval.

Abstract: The invention involves the automated testing of HVAC units using an energy management system. The automated HVAC test is performed to understand if one or more HVAC units are operational across one or more locations. If an HVAC unit is not operational, HVAC testing could be performed to understand which component or stage of the HVAC unit is not working as designed. The automated HVAC test is also used to calculate the efficiency of the HVAC unit(s) being tested. The various HVAC tests are performed on all HVAC units as a form of preventative maintenance and diagnostics. These tests can be scheduled on-demand, for a future date and time, or on a recurring schedule (monthly or quarterly). A report is generated for each HVAC test and can be viewed and exported from a cloud-based energy management platform.

Abstract: The invention involves the automated testing of HVAC units using an energy management system. The automated HVAC test is performed to understand if one or more HVAC units are operational across one or more locations. If an HVAC unit is not operational, HVAC testing could be performed to understand which component or stage of the HVAC unit is not working as designed. The automated HVAC test is also used to calculate the efficiency of the HVAC unit(s) being tested. The various HVAC tests are performed on all HVAC units as a form of preventative maintenance and diagnostics. These tests can be scheduled on-demand, for a future date and time, or on a recurring schedule (monthly or quarterly). A report is generated for each HVAC test and can be viewed and exported from a cloud-based energy management platform.

Abstract: An embodiment models and predicts energy consumption and provides recurring and realistic opportunities to reduce energy consumption throughout the work day or process cycle using user interfaces to convey positive and negative feedback in a controlled manner; and user experience, that reward positive changes with increased positive feedback and reduced negative feedback. Energy consumption of categories of appliances, devices, and equipment is considered a random variable. Using archived energy data, business data, and other related data, statistical modeling is used to create inverse cumulative probability distribution functions. An energy budget (consumption prediction) is computed so that it meets a probability p of the budget being exceeded during a given interval. When the budget is exceeded the feedback is negative, otherwise feedback is positive. Each budget is computed as the value b of the random variable such that the probability that the random variable will be less than or equal to b is 1-p.

Abstract: Methods for creating high quality alarms raise EMS operator awareness to abnormal conditions in monitored assets across multiple sites in a single EMS software platform. An embodiment includes steps for accessing an alarm designer software tool that contains a library of alarm definitions and the ability to create new alarm definitions, clone and edit existing alarm definitions, lock alarm definitions and delete alarm definitions. Applicable data is defined using channel attributes identifying which channel or channels associated with the multiple monitored sites are to be evaluated for alarming conditions. The alarm frequency, trigger conditions, pending open duration, close conditions, and pending close duration are also defined. Alarms can trigger upon one or more channels' behavior over periods of time and conditional relationships between multiple channels. Close conditions for an alarm can be, but are not required to be, the resolution of the trigger conditions.

Abstract: Systems and methods are provided for controlling a setback mode of a power-consuming device, and for controlling setback recovery of power-consuming devices, in order to make setback and setback recovery more dynamic based on current environmental parameters and previous observed operating parameters, in order to enable more efficient operation of power-consuming devices resulting in reduced energy costs and increased power efficiency.

Abstract: A system and method for managing power consumption and storage in a power grid. Measurements are received from a plurality of geographically distributed energy management controllers. Each energy management controllers has energy storage units with stored energy. The measurements comprise the energy production and storage capacity of the energy management controllers and their associated energy storage units. The measurements are processed, e.g., aggregated, and displayed on a graphical user interface. Commands are transmitted to a first subset of the energy management controllers to command the units to discharge their stored energy into a power grid through an inverter. Commands are transmitted to a second subset of the plurality of energy management controllers to store energy in each unit's energy storage unit.

Abstract: A system and method are disclosed for dynamically learning the optimum energy consumption operating condition for a building and monitor/control energy consuming equipment to keep the peak demand interval at a minimum. The dynamic demand limiting algorithm utilized employs two separate control schemes, one for HVAC loads and one for non-HVAC loads. Separate operating parameters can be applied to the two types of loads and multiple non-HVAC (control zones) loads can be configured. The algorithm uses historical peak demand measurements in its real-time limiting strategy. The algorithm continuously attempts to reduce peak demand within the user configured parameters. When a new peak is inevitable, the algorithm strategically removes and/or introduces loads in a fashion that limits the new peak magnitude and places the operating conditions within the user configured parameters. In an embodiment, the algorithm that examines the previous seven days of metering information to identify a peak demand interval.

Abstract: Methods for creating high quality alarms raise EMS operator awareness to abnormal conditions in monitored assets across multiple sites in a single EMS software platform. An embodiment includes steps for accessing an alarm designer software tool that contains a library of alarm definitions and the ability to create new alarm definitions, clone and edit existing alarm definitions, lock alarm definitions and delete alarm definitions. Applicable data is defined using channel attributes identifying which channel or channels associated with the multiple monitored sites are to be evaluated for alarming conditions. The alarm frequency, trigger conditions, pending open duration, close conditions, and pending close duration are also defined. Alarms can trigger upon one or more channels' behavior over periods of time and conditional relationships between multiple channels. Close conditions for an alarm can be, but are not required to be, the resolution of the trigger conditions.

Abstract: A system and method for managing power consumption and storage in a power grid. Measurements are received from a plurality of geographically distributed energy management controllers. Each energy management controllers has energy storage units with stored energy. The measurements comprise the energy production and storage capacity of the energy management controllers and their associated energy storage units. The measurements are processed, e.g., aggregated, and displayed on a graphical user interface. Commands are transmitted to a first subset of the energy management controllers to command the units to discharge their stored energy into a power grid through an inverter. Commands are transmitted to a second subset of the plurality of energy management controllers to store energy in each unit's energy storage unit.

Abstract: The invention involves the automated testing of HVAC units using an energy management system. The automated HVAC test is performed to understand if one or more HVAC units are operational across one or more locations. If an HVAC unit is not operational, HVAC testing could be performed to understand which component or stage of the HVAC unit is not working as designed. The automated HVAC test is also used to calculate the efficiency of the HVAC unit(s) being tested. The various HVAC tests are performed on all HVAC units as a form of preventative maintenance and diagnostics. These tests can be scheduled on-demand, for a future date and time, or on a recurring schedule (monthly or quarterly). A report is generated for each HVAC test and can be viewed and exported from a cloud-based energy management platform.

Abstract: A system and method are disclosed for dynamically learning the optimum energy consumption operating condition for a building and monitor/control energy consuming equipment to keep the peak demand interval at a minimum. The dynamic demand limiting algorithm utilized employs two separate control schemes, one for HVAC loads and one for non-HVAC loads. Separate operating parameters can be applied to the two types of loads and multiple non-HVAC (control zones) loads can be configured. The algorithm uses historical peak demand measurements in its real-time limiting strategy. The algorithm continuously attempts to reduce peak demand within the user configured parameters. When a new peak is inevitable, the algorithm strategically removes and/or introduces loads in a fashion that limits the new peak magnitude and places the operating conditions within the user configured parameters. In an embodiment, the algorithm that examines the previous seven days of metering information to identify a peak demand interval.

Abstract: A system and methods that enables smart charging for electric resources. A charging behavior guarantee may comprise a guaranteed charging schedule that matches a regular charging schedule of an electric resource and provides power flow flexibility. A smart charging method may also include periodically updated schedules and may manage electric resources via a smart charging benefit analysis. A smart charging method may manage the charging behavior of the electric resources on a grid based on the smart charging benefit. Further, a smart charging method may manage electric resources via a smart charging benefit analysis and smart charging customer guarantees. A smart charging method also may include schedules with overrides, and may involve a method for local load management in the presence of uncontrolled loads. A smart charging method for managing electric resources may also provide direct control over prices-to-devices enabled devices.

Abstract: A thermostat with voltage and current sensing capability is coupled directly to an HVAC unit and provides low latency failure detection and control using an on-board CPU. The thermostat can be configured to detect failure modes using current and voltage sensing and to make autonomous decisions to control the HVAC in response to such measurements.

Abstract: Methods for creating high quality alarms raise EMS operator awareness to abnormal conditions in monitored assets across multiple sites in a single EMS software platform. An embodiment includes steps for accessing an alarm designer software tool that contains a library of alarm definitions and the ability to create new alarm definitions, clone and edit existing alarm definitions, lock alarm definitions and delete alarm definitions. Applicable data is defined using channel attributes identifying which channel or channels associated with the multiple monitored sites are to be evaluated for alarming conditions. The alarm frequency, trigger conditions, pending open duration, close conditions, and pending close duration are also defined. Alarms can trigger upon one or more channels' behavior over periods of time and conditional relationships between multiple channels. Close conditions for an alarm can be, but are not required to be, the resolution of the trigger conditions.

Abstract: The invention involves the automated testing of HVAC units using an energy management system. The automated HVAC test is performed to understand if one or more HVAC units are operational across one or more locations. If an HVAC unit is not operational, HVAC testing could be performed to understand which component or stage of the HVAC unit is not working as designed. The automated HVAC test is also used to calculate the efficiency of the HVAC unit(s) being tested. The various HVAC tests are performed on all HVAC units as a form of preventative maintenance and diagnostics. These tests can be scheduled on-demand, for a future date and time, or on a recurring schedule (monthly or quarterly). A report is generated for each HVAC test and can be viewed and exported from a cloud-based energy management platform.