A theoretical reserve evaluation method for ocean current energy includes steps of: 1) selecting a target region, and extracting a coordinate range of the target region; 2) obtaining a seabed water depth of the target region; 3) obtaining hydrological data of flow velocities and seawater densities of a target region space; 4) calculating a theoretical reserve of the ocean current energy per unit area of the target region according to the hydrological data, 5) calculating an area of the target region; and 6) calculating the theoretical reserves of the ocean current energy within a spatial range of the target region according to the hydrological data of the flow velocities and the seawater densities obtained in the step 3), the seabed water depth of the target region obtained in the step 2), and the area of the target region obtained in the step 5).

An energy management system of the present invention can measure and integrate a power consumption amount of each device, can integrate and monitor regional total power consumption amounts, and allows energy to be effectively used by collecting, analyzing, storing and transmitting a use pattern and data through the Internet of Things (IoT) between devices and completely and automatically cutting off and controlling the power to be wasted in a device when the device is not used. The energy management system remotely controls devices and allows energy to be effectively managed through the minimization of power consumption by automatically and completely cutting off the power to be supplied to the devices when the devices are not used, and by cutting off the power to be supplied to the system when the power of all the devices connected to the system is cut off and when the system is in standby.

A method for evaluating an energy efficiency of a second energy consumption scenario of a site includes obtaining a first energy consumption scenario, which comprises a first time-series of energy consumption data of at least one device, and a quality measure of the first energy consumption scenario; obtaining the second energy consumption scenario, which comprises a second time-series of energy consumption data, wherein the second energy consumption scenario has a same or a shorter duration than the first energy consumption scenario; comparing the second time-series of energy consumption data to the first time-series of energy consumption data; and if or when the second time-series of energy consumption data is similar to the first time-series of energy consumption data, outputting the quality measure of the first energy consumption scenario.

A system that allows a contractor to remotely monitor and/or interact with its customers' building control systems, such as heating, ventilating and air conditioning (HVAC) systems, and analyze information obtained from the building control systems over time. Such a system may help the contractor monitor and diagnosis customer building control systems, setup service calls, achieve better customer relations, create more effective marketing opportunities, as well as other functions. In some cases, the disclosed system may include a controller that analyzes data from HVAC systems, determines a thermal model of a space environmentally controlled by an HVAC system, and provides an energy audit of the space that is environmentally controlled by the HVAC system. The controller may output a result of the energy audit to a user.

A multi-site Building Management System (BMS) monitors performance of a local BMS at each of a plurality of remote sites. The multi-site BMS includes a controller that is configured to determine a plurality of local performance metrics associated with each local BMS based on the operational data received from each local BMS and to aggregate like ones of the plurality of local performance metrics, resulting in a plurality of aggregated performance metrics. The controller is configured to display on the display a plurality of panels, to display in each of the plurality of panels the corresponding one of the plurality of aggregated performance metrics and to display in each of the plurality of panels a ranking of one or more of the remote sites by their corresponding local performance metric.

The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.

Process and system for managing a mix design catalog of a concrete producer that involves collecting slump curve data obtained during in-transit monitoring of delivered concrete loads made from a plurality of various mix designs, wherein each mix design is identified by a different identification code (regardless of whether components are different), clustering slump curve data having same movement characteristics according to assigned strength value, and selecting a mix design to produce, to display, or both to produce and to display, from among the two or more slump data curves of individual mix designs within the same data curve cluster. The selection is based on same movement characteristic and assigned strength value, and at least one factor relative to cost, performance, physical aspect, quality, or other characteristic of the concrete mix or its components. Exemplary methods for generating new mix designs are also set forth.

Systems, methods and non-transitory computer-readable mediums are provided for determining data center resource requirements, such as cooling and power requirements, and for monitoring performance of data center resource systems, such as cooling and power systems, in data centers. At least one aspect provides a system and method that enables a data center operator to determine available data center resources, such as power and cooling, at specific areas and enclosures in a data center to assist in locating new equipment in the data center.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

A method and apparatus for analyzing power devices in a circuit are disclosed. In one embodiment, a power analysis apparatus analyzes information on power supplied to the circuit and classifies the power patterns into groups of their own similar power patterns by making reference to the information on the power patterns, so as to acquire at least one piece of motif information which is information on at least one fingerprint. The apparatus further counts the frequency of occurrence of each motif and determines a pair of specific motifs having the difference between the counted frequencies of occurrence, which is within a predetermined value range, and average power variation values symmetrical to each other, whereby an accurate determination can be made as to the individual power devices in the circuit.