Abstract: Apparatuses, systems, and methods comprising acoustically absorptive air ducts comprising an internally positioned structure component as an endoskeleton and an air impervious inner layer, and an acoustically absorptive foam outer layer, environmental control systems comprising such air ducts, and vehicles incorporating such environmental control systems are disclosed with methods for manufacture and installations are disclosed.

Abstract: Systems and methods for enabling dynamic volumetric transitioning and segmentation of treatment conditions are disclosed. Such treatment conditions may include, by way of example, systems and methods for dynamically transitioning treatment environments within a reactor for activated sludge treatment processes. Such environments may include anaerobic, anoxic, fermentation, suboxic, and aerobic environments.

Abstract: Phenylephrine particles suitable for solid, semi solid or liquid dosage forms are disclosed.

Abstract: An approach where a utility/ISO may dispatch demand response (DR) resources in real time without notification of a DR event. DR dispatches may involve sending specific load level commands to power generators that can respond to such commands in a predictable fashion. DR resources do not necessarily have the same level of control or predictability in their load responses. Accuracy of predicting a DR resource's response to a DR signal may be improved by restricting the DR signal to predefined finite values and, for each predefined finite value, have the DR resource continuously report back what its load response will be if one of those signal values is sent as a DR signal. A DR performed against a home may result in discomfort. But there may be a sufficient recovery rate for regaining the setpoint of a thermostat to attain comfort of the home within a reasonable period of time.

Abstract: A demand response management system which may be implemented with demand response logic. The system may be used by utilities, independent system operators, intermediaries and others to manage operations of demand response programs relative to customers, clients, participants, and users of outputs from the utilities, independent system operators, and the like. Demand response logic of the demand response management system may provide demand signal propagation and generation from demand response events.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: An approach for influencing demand response event performance through a variable incentive signal. Automated demand response programs may achieve an energy demand reduction by signaling participating consumers to curtail energy usage for a certain period of time, referred to as an “event”. Customers may be free to “opt-out” and withdraw their participation from DR events, on a per-event basis. When a participant opts out, the quantity of energy savings of the event may be reduced. Participating customers may be sent a message offering an incentive to tolerate an ongoing DR event. As the event progresses, the DR operator may dynamically monitor and modulate the rate of opt-outs. The present approach may be different in that instead of modulating the number of participants that are included in the event, it may modulate an incentive signal to keep already-included participants from opting out.

Abstract: A system having a utility, a communications intermediary and demand response resources. The utility may be connected to the communications intermediary via a network. The demand response resources may be connected to the communications intermediary via another network. A single dispatch destined for the demand response resources may be sent to the communications intermediary. The dispatch may be disaggregated at the communications intermediary into a multitude of dispatches which may be dispersed to their respective destined demand response resources. The demand response resources may send telemetries to the communications intermediary that aggregates the telemetries into a single telemetry. The single telemetry may be sent to the utility.

Abstract: Energy management using a wearable device is described herein. One apparatus includes a user interface, a memory, and a processor configured to execute executable instructions stored in the memory to receive a communication from a utility information system of a utility, wherein the communication includes information associated with energy being provided to a facility by the utility, provide, via the user interface, the information to a user of the apparatus, receive, via the user interface, a command from the user to adjust energy consumption of the facility based, at least in part, on the information, and send the command to an energy management system of the facility, wherein the apparatus is a wearable device.

Abstract: An approach where a utility/ISO may dispatch demand response (DR) resources in real time without notification of a DR event. DR dispatches may involve sending specific load level commands to power generators that can respond to such commands in a predictable fashion. DR resources do not necessarily have the same level of control or predictability in their load responses. Accuracy of predicting a DR resource's response to a DR signal may be improved by restricting the DR signal to predefined finite values and, for each predefined finite value, have the DR resource continuously report back what its load response will be if one of those signal values is sent as a DR signal. A DR performed against a home may result in discomfort. But there may be a sufficient recovery rate for regaining the setpoint of a thermostat to attain comfort of the home within a reasonable period of time.

Abstract: An approach where a utility/ISO may dispatch demand response (DR) resources in real time without notification of a DR event. DR dispatches may involve sending specific load level commands to power generators that can respond to such commands in a predictable fashion. DR resources do not necessarily have the same level of control or predictability in their load responses. Accuracy of predicting a DR resource's response to a DR signal may be improved by restricting the DR signal to predefined finite values and, for each predefined finite value, have the DR resource continuously report back what its load response will be if one of those signal values is sent as a DR signal. A DR performed against a home may result in discomfort. But there may be a sufficient recovery rate for regaining the setpoint of a thermostat to attain comfort of the home within a reasonable period of time.

Abstract: A demand response management system which may be implemented with demand response logic. The system may be used by utilities, independent system operators, intermediaries and others to manage operations of demand response programs relative to customers, clients, participants, and users of outputs from the utilities, independent system operators, and the like. Demand response logic of the demand response management system may provide demand signal propagation and generation from demand response events.

Abstract: A demand response management system which may be implemented with demand response logic. The system may be used by utilities, independent system operators, intermediaries and others to manage operations of demand response programs relative to customers, clients, participants, and users of outputs from the utilities, independent system operators, and the like. Demand response logic of the demand response management system may provide demand signal propagation and generation from demand response events.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: A system having a utility, a communications intermediary and demand response resources. The utility may be connected to the communications intermediary via a network. The demand response resources may be connected to the communications intermediary via another network. A single dispatch destined for the demand response resources may be sent to the communications intermediary. The dispatch may be disaggregated at the communications intermediary into a multitude of dispatches which may be dispersed to their respective destined demand response resources. The demand response resources may send telemetries to the communications intermediary that aggregates the telemetries into a single telemetry. The single telemetry may be sent to the utility.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: A system having a utility, a communications intermediary and demand response resources. The utility may be connected to the communications intermediary via a network. The demand response resources may be connected to the communications intermediary via another network. A single dispatch destined for the demand response resources may be sent to the communications intermediary. The dispatch may be disaggregated at the communications intermediary into a multitude of dispatches which may be dispersed to their respective destined demand response resources. The demand response resources may send telemetries to the communications intermediary that aggregates the telemetries into a single telemetry. The single telemetry may be sent to the utility.

Abstract: Energy management using a wearable device is described herein. One apparatus includes a user interface, a memory, and a processor configured to execute executable instructions stored in the memory to receive a communication from a utility information system of a utility, wherein the communication includes information associated with energy being provided to a facility by the utility, provide, via the user interface, the information to a user of the apparatus, receive, via the user interface, a command from the user to adjust energy consumption of the facility based, at least in part, on the information, and send the command to an energy management system of the facility, wherein the apparatus is a wearable device.

Abstract: An automatically controlled wastewater treatment process can include automatically controlling nitrification and denitrification capacity in a water source. The nitrification and denitrification capacity can be automatically controlled simultaneously. In addition, the wastewater treatment process can also include automatically controlling solids retention time (SRT) and biological phosphorus removal in a water source as well as automatically controlling the removal of water from a containment device.

Abstract: Phenylephrine particles suitable for solid, semi solid or liquid dosage forms are disclosed.