Honeywell International Inc.

Radek Fisera

Martin Strelec

Joseph Majewski

Karel Macek

Mark Anglin

Thomas Gall

Martin Hrncar

Jiri Rojicek

A system for fault detection and diagnostics of equipment. The system may also be capable of disaggregation and/or virtual submetering of energy consumption by equipment, such as that of heating, ventilation and air conditioning, lighting, and so forth, in a building. Vibration and current sensors, along with one or more algorithms, may be utilized for fault detection and diagnostics of equipment. Models may be developed to aid in deducing energy consumption of individual components of equipment, and the like, for a building.

Equipment fault detection, diagnostics and disaggregation system

A system for purchasing and selling power that fairly accommodates sellers and buyers. For instance, a submarket may be formed between a utility company or retailer and its consumer or customer. The utility or retailer may eliminate differences between generated or purchased power and demanded power. Mechanisms used for elimination of power differences may incorporate utilizing power from ancillary services, purchasing or selling power on the spot market, and affecting a demand for power with demand response programs. A difference between purchased power and demanded power may be minimized by forming an optimal power stack having a mix of power of the demand response program, power at the spot market and/or power of ancillary services. An optimization sequence may be implemented to minimize the difference between the purchased power and demanded power, and to maximize profit.

Decision support system based on energy markets

Demand response automated load characterization systems and methods are described herein. One method includes identifying a plurality of load models that include a variable that influences an energy demand, normalizing the plurality of load models, aggregating the normalized plurality of load models to generate an aggregated model for the variable.

Demand response automated load characterization systems and methods

Methods, apparatuses, and systems for monitoring condenser performance are described herein. One method includes receiving a control signal associated with a fan component of a condenser of a refrigeration system, determining an expected control signal based on a number of driving conditions associated with the condenser, and providing a notification responsive to a difference between the received control signal and the expected control signal exceeding a threshold.

Monitoring condenser performance

Operating refrigeration systems is described herein. One method includes receiving operating information associated with a refrigeration system, and determining a probability of liquid slugging occurring in the refrigeration system before liquid slugging occurs in the refrigeration system based, at least in part, on the operating information.

Operating refrigeration systems

A commercial refrigeration system receives data from a plurality of compressors in a compressor rack, and uses the data to model a steady state amp draw for each of the compressors in the compressor rack. The system receives additional data from the plurality of compressors, and determines a steady state amp draw for each of the compressors from the additional data. The system then compares the amp draw from the additional data with the steady state amp draw model, and identifies a compressor fault based on the comparison of the steady state amp draw from the additional data with the steady state amp draw model.

System and method to monitor compressor rack operation

A virtual sub-metering process using combined classifiers includes generating an electric power consumption signature database by receiving data from an electric power consumption measuring meter and auxiliary data from a building management system, and clustering the data. After the generation of the electric power consumption signature database, additional data from the electric power consumption measuring meter and the auxiliary data from the building management system is received, and this additional data is processed to generate a second steady-state load classification component. A second transient state component is extracted from the additional data. The steady-state load classification components and the transient shape components from the electric power consumption signature database, the second steady state load classification component, the second transient shape component, and control signals and status signals associated with the plurality of electric power consuming devices are correlated and combined.

Virtual sub-metering using combined classifiers

Devices, methods, and systems for non-invasive energy consumption monitoring are described herein. One or more device embodiments include a transformer configured to couple the device to a circuit conductor that is coupled to an additional device, a detection module configured to detect a change in a power signal over the circuit conductor, and a transmission module configured to transmit a unique signal associated with the additional device over the circuit conductor if the change in the power signal meets or exceeds a particular threshold.

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Prague, Czechia

Radek Fisera