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 italgas

Optimised cogeneration management

  •   Client: Italgas S.p.A.
  •   Industry: Gas distribution
  •   Location: Riva presso Chieri (TO), Italy
Italgas S.p.A.
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 challenge

At the site analysed, energy production was supported by a cogeneration system supplemented by boilers and a turboexpander. Operational management was based mainly on ‘thermal tracking’, with the CHP regulated solely according to heat demand.

This approach often led to inefficient operation and did not maximise economic benefits, as it did not take into account electricity demand, energy value and site operating conditions. In addition, the plant was penalised by recurring downtime on the turboexpander speed reducer, with negative effects on reliability and service continuity.

 solution

Italgas adopted E‑BOOST to overcome the limitations of the previous management system and move the plant towards more efficient, stable operation focused on the overall value of the energy produced.

This made it possible to coordinate CHP, boilers and turboexpander as a single system, choosing the best configuration on a case-by-case basis according to the actual conditions of the site. Continuous analysis of plant data made it possible to:

  • Define the most cost-effective operating configuration for CHP, boilers and turboexpander, minimising consumption and maximising overall yield.
  • Dynamically adjust CHP throughout the day, adapting production to actual electrical and thermal loads.
  • Integrate real-time operational and economic signals (consumption profiles, energy prices and weather forecasts), guiding the plant towards the most efficient and profitable conditions.

 impact

A comparison between historical performance and optimised management with E‑BOOST showed immediate and measurable benefits, including

-15%

reduction in overall energy consumption Thanks to better use of cogeneration

+31

increase in operating margins Maximising production during the most cost-effective hours

E‑BOOST has enabled Italgas to evolve from “thermal-only” management to proactive, data-driven control of the plant, improving overall performance and creating an approach that can be replicated at other sites.

Seraphinite AcceleratorOptimized by Seraphinite Accelerator
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