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. The system then uses real-time load information to predict the demand peak of the upcoming interval, and strategically curtails assigned loads in order to limit the demand peak so as not to set a new peak.
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 experiences 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:
An energy management system having a centralized site controller is provided with thermostats in multiple zones, each thermostat having the capability of acting as a remote terminal to the controller. Each thermostat provides an interface to the site controller while simultaneously acting as the thermostat for each zone. The thermostat displays information concerning the state of the building's lighting and HVAC systems for any zone and allows the local user to initiate local overrides of set points. The central site controller determines how many thermostats are enabled with a terminal mode, including the full extent of their read and write permissions on other zones. The override requests are received by the central controller and merged with the settings for the current control algorithms. After a preconfigured time, the central controller reinstates the current control algorithm. The system can be shut down using a thermostat in remote terminal mode with appropriate permission form the centralized site controller. Further, system status changes are sent periodically to the remote thermostats for display and the remote thermostat terminals are polled periodically for change requests. As a result, the thermostat can be activated in run time, and endowed with terminal mode while still performing as a thermostat.
Abstract:
A light performance monitoring device and optionally integrated controller includes a monitor module that directly monitors energy usage of at least one energy load to generate at least one measurement of energy usage; a storage module stores a series of baseline values of energy usage of the energy load, a comparator module compares energy measurements made at predetermined intervals with the baseline values, and a notification module notifies a designated recipient that there is a deviation from the baseline values consistent with a burned out or non-operational light fixture, including but not limited to light bulbs or ballast devices. A control module optionally integrated with the light performance monitoring device can be operatively coupled to the monitor module to control energy usage by the at least one energy load via a data link in a pre-determined manner that is based on the at least one measurement of energy usage.
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:
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:
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:
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 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.