Polish Oil and Gas Company (PGNiG) is going to test a system forreal time balancing of electricity from distributed generation sources. This will be made possible by remote reading of meter data and management of distributed electricity consuming devices. Among other things, the solution created by TruBlu, a start-up based in Rzeszów, will facilitate avoiding energy losses.
The solution being developed for PGNiG is designed to collect and process metering data from electricity-powered devices on a remote basis, and ultimately to enable remote real-time management of distributed energy infrastructure equipped with the Industrial Internet of Things technology (IIoT). The application of this technology will support energy balancing, that is monitoring of the meter readings, signalling deviations from the normal state and occurrences of an alert state, and thus reducing electricity purchase costs. According to plans, the blockchain technology will be used to send and record balancing transactions, which will help ensure security and integrity of historical data.
“A test implementation of the solution is planned at eight distributed points at PGNiG where electricity is consumed and generated. They are to be equipped with smart systems relying on the IIoT technology. The project fits in with the PGNiG Group Energy Efficiency Improvement Programme launched in 2020, and its pilot implementation is another proof that PGNiG is open to engaging with the start-up community,” says Arkadiusz Sekscinski, Vice-President of the PGNiG Management Board for Development.
The project is a result of PGNiG’s partnership with a Rzeszów-based start-up company TruBlu. It is the fourth start-up project selected for technological and business verification by PGNIG as part of the IDEA Global acceleration programme run by HugeTECH, in which PGNiG takes part.
“The business client for the solution is the Wholesale Trading Branch of PGNiG, the PGNiG SA’s unit in charge of trading in gas, oil, electricity, CO2 emission allowances and property rights, as well as energy balancing,” Mr Sekscinski explains.
The pilot implementation is expected to lead to the development of the target software and hardware solution that meets the business requirements of PGNiG. Its first results are anticipated in May 2021.
