Get energy data insight

Digital energy analytics is an exploration methodology that shows the "modus operandi" of the building and allows decisions to be made based on data.

Big Data analytics is a set of activities that consists in the discovery, interpretation and communication of significant patterns in data.

OPERIT uses analytical techniques that apply mathematical algorithms and descriptive statistics.

The diagnosis of a building's data allows for identification and revealing of consumption patterns, detecting inefficiencies in HVAC regulation and air conditioning issues.

The implementation of recommendations increases the performance of the building's technical systems, reduces energy consumption, identifying possible operation and maintenance problems.

OPERIT uses FDD Fault Detection and Diagnostics methods combined with thermal, electrical and mechanical engineering procedures.

The application is a platform for the remote energy audit and supervision of utilities consumption and diagnosis of building operation.

The system is based on data analytics. It allows the visualization and analysis of consumption data and performance parameters; conducting a centralized energy management of infrastructures.

OPERIT designs an operational action plan and generates periodic follow-up reports with recommendations that optimize the performance of the facilities.