Traditionally, benchmarking of asset performance involves comparing actual performance with ideal values that correspond to test conditions which may not be realized in practice leading to inappropriate ranking of the assets. Systems and methods of the present disclosure use condition-aware reference curves for estimating the maximum possible operating efficiencies (under specific operating conditions) instead of the theoretical maximum efficiencies. The reference curves are received from the manufacturer or obtained from on-site test results. Benchmarking is then performed based on two dimensions, viz., an inter-asset metric and an intra-asset metric that are analogous to the first law and second law of thermodynamics respectively. The two-dimensional benchmarking then helps in identifying inefficient assets that may be analyzed further for finding the root cause. Tracking the performance of assets over time greatly helps in operations and maintenance, and thus reducing downtime of systems and accordingly the operating costs.

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 solution strategy that integrates multiple domains together in a seamless and standardized way for increasing a user's control over facilities and equipment. This integrated approach can lead to a reduction of energy usage, more efficient energy usage, increased safety, health, and security of a facility and its occupants, optimized production in industrial settings, and associated and other economic advantages. Accurate, reliable information about a facility or equipment is essential to making timely, informed decisions. Enhanced automation provides a reliable means of collecting and assembling a variety of operating data and archiving that data into a central database for evaluation, reporting, forecasting, and negotiation with resource marketers.

A system may include an energy reservoir controller associated with a microgrid's energy reservoir adapted to store energy (e.g., a battery to store electrical energy). A computer processor of the energy reservoir controller may receive indications of digital currency tokens from a token creation platform. At least some of the digital currency tokens may be placed into an available energy container based on an amount of energy stored in the energy reservoir. A consumer within the microgrid may submit a transaction request for energy, and it may be arranged for an amount of energy to be transferred from the energy reservoir to the consumer. Based on the amount of energy transferred to the consumer, a number of digital currency tokens may be moved from the available energy container into a used energy container. Information about the transaction request may then be recorded via a secure, distributed transaction ledger.

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.

The disclosure provides an energy management system that is based on a distributed architecture that includes networked energy management devices located at a plurality of sites and a collection of energy management program applications and modules implemented by a centralized energy management service unit. The energy management program applications and modules are responsible for facilitating customer access to the system, configuring energy management devices, and collecting, storing, and analyzing energy management data collected from the plurality of sites. The energy management system is adaptable to a wide variety of energy usage requirements and enables customers to configure energy management devices at customer sites using scheduling templates, to define and customize site groupings for device configuration and data analysis purposes, and to request and view various statistical views of collected energy usage data.

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.

Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Diagnosing energy conservation requires not only various measurement items and a vast amount of data but also advice from experts having knowledge of energy conservation diagnosis, and there has been no such method for diagnosing energy conservation easily. Provided therefore is a system that makes it possible to achieve energy conservation diagnosis with high accuracy without requiring expert knowledge by using the energy consumption data of the building and the weather data of the meteorological station closest to the location of the building to estimate each-usage energy consumption of the building and to calculate energy savable amount, demand reducible amount, and an energy saving effect achieved by the behavior change and the like, and systematizing the calculation by using a statistical method and the like.

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.