Systems and methods dynamically assess energy efficiency by obtaining a minimum energy consumption of a system, receiving in a substantially continuous way a measurement of actual energy consumption of the system, and comparing the minimum energy consumption to the measurement of actual energy consumption to calculate a substantially continuous energy performance assessment. The system further provides at least one of a theoretical minimum energy consumption based at least in part on theoretical performance limits of system components, an achievable minimum energy consumption based at least in part on specifications for high energy efficient equivalents of the system components, and the designed minimum energy consumption based at least in part on specifications for the system components.

A method for evaluating energy consumption in an industrial plant, includes capturing sensor data from at least one level of the industrial plant, from the sensor data, digitally obtaining energy consumption curves, an energy consumption curve representing, along a certain time period, discrete values of energy consumption corresponding to time intervals Δt. The method also includes; applying a clustering algorithm for digitally computing energy consumption patterns, wherein each pattern represents a set of energy consumption curves grouped according to a similarity metric and includes discrete values of energy consumption corresponding to time intervals Δt; capturing data of the production achieved during the time period at at least one level; calculating the aggregated sum of the discrete values, thus obtaining the aggregated energy consumption for each curve; and digitally establishing a relationship between aggregated energy consumption for each energy consumption curve during the time period and said captured data of production.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes repeatedly selecting, by a control system for the environment, control settings for the environment based on internal parameters of the control system, wherein: at least some of the control settings for the environment are selected based on a causal model, and the internal parameters include a first set of internal parameters that define a number of previously received performance metric values that are used to generate the causal model for a particular controllable element; obtaining, for each selected control setting, a performance metric value; determining that generating the causal model for the particular controllable element would result in higher system performance; and adjusting, based on the determining, the first set of internal parameters.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a manufacturing process. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of control settings for a manufacturing process, based on a causal model that measures causal relationships between control settings and a measure of a success of the manufacturing process; ii) determining the measure of the success of the manufacturing process using the configuration of control settings; and iii) adjusting, based on the measure of the success of the manufacturing process using the configuration of control settings, the causal model.

A method and system for managing and sourcing materials and services for energy retrofit projects. An electronic energy retrofit project portal provides real-time designing, specifying, searching, pricing, quoting, ordering, and tracking of energy audit project materials and services required for a desired energy retrofit project. The functionality of the electronic energy retrofit project portal is available in real-time directly and from within existing design programs that create and provide energy audits and available as a standalone portal.

The disclosure is directed to a system for integrating and centralizing multiple manufacturing software types into a consolidated platform. The system interfaces with third party software and performs data collection, data analytics, factory controls, virtual modeling, and checklist creation, as well as many other manufacturing applications. Artificial intelligence and machine learning are also integrated into the platform to assist with root cause analysis and increasing production efficiency.

An integrated intelligent building management system and a management method thereof are disclosed. The system includes a first cloud management system having a project management database, an intelligent building system managed by the first cloud management system, and a second cloud management system connecting with the first cloud-management system through a transforming interface. The management method includes the following steps. The first cloud management system receives the corresponding data of the building controlled by the intelligent building system and stores that in the project management database. The second cloud management system is authorized to connect and access the project management database. An access action from the second cloud management system to the project management database is accepted. A format transformation to data corresponding to the access action is performed. The second cloud management system stores the transformed data to a demand database therein.

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.

An energy-saving promotion achievement-evaluating device is provided in which: a population-constituting user identification information-obtaining unit comprises a population-constituting group identification information-obtaining means for obtaining population-constituting group identification information for obtaining, as comparison targets, a plurality of groups identified by group identification information for identifying a group constituted by a plurality of pieces of user identification information as the comparison target; and an energy-saving promotion achievement evaluation result-obtaining unit comprises a group-energy-saving promotion achievement evaluation result-obtaining means for obtaining energy consumption achievement data of the group identified by the population-constituting group identification information obtained by the population-constituting group identification information-obtaining means as an energy-saving promotion achievement evaluation result in association with the group identification information on the basis of the held energy-saving evaluation rule.

The present disclosure provides a computer-implemented method for recommending one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes analysis of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes recommendation of one or more control schemes to a plurality of energy consuming devices and a plurality of energy storage and supply means.