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Spotted on the web

Pilot the ventilation of sewage treatment plants to reduce the energy bill

Use described publicly by Numérique360 — Banque des Territoires (28 February 2025), summarised by the desk. Not tested by iadujour.

The result to aim for

Rennes Métropole has deployed a Purecontrol IA on about 10 purification plants which adjusts real-time operation according to the weather and energy prices: -5% consumption and -15 % on the bill.

What was done

According to Digital360 (28 February 2025), Rennes Métropole experienced between 2021 and 2024, and then deployed operationally, a solution to control its sanitation facilities. The ventilation of sewage treatment plants alone accounts for about half of their energy consumption. The AIA, provided by the Rennes company Purecontrol, operates station data (flows, water quality) and crosses them with weather forecasts and energy prices, then adapts the operation in real time to consume less and enjoy off-peak hours. Deployed since mid-2024 on about 10 stations, it has reduced energy consumption by 5% and the bill by 15%, with a reduction in greenhouse gas emissions. The project was born from a relationship between operator Saur and the young company, which had first applied the principle to swimming pools. The experiment cost about EUR 100 000 over two years from own funds; The scale changeover is budgeted at EUR 1.2 million over four years.

Before you start

Tool cited by the source: Purecontrol. Fill in the bracketed items: [données]. Strip confidential data that is not needed and check your tool’s access terms. Features and plans can change.

The method, in three steps.

  1. Gather the context

    Spot the bracketed items in the prompt ([données]) and prepare what they ask for.

  2. Adapt the prompt

    Copy the prompt below, replace the bracketed items, then paste it into the AI assistant you use. The cited tool (Purecontrol) is not necessarily available to the public..

  3. Reread before using

    Reread the result, correct it if needed and keep the final decision. Caveats are detailed below.

Your starting point.

Replace the bracketed items, then adapt the proposal to your situation. This prompt is written by the iadujour desk It is not a quotation from the source.

The prompt to customise
Here is the hourly electricity consumption of one of our equipment over a month and our rate schedule (full hours, off-peak hours): [données].

1. Calculates the amount consumed in full hours and its cost.
2. Identify uses that could be shifted without risk of service.
3. Estimated possible savings in euro and kWh.
4. Lists the technical constraints to be checked with the operator prior to any change.

What deserves your attention

Optimizing energy must never degrade the quality of discharges: regulatory treatment thresholds must remain constraints set by the operator, not by the algorithm.
Origin of the case. Use described publicly by Numérique360 — Banque des Territoires (28 February 2025).
Proof level: Testimony published by an identified source. Source checked on 10 November 2026. Use described by the source, not tested by the desk. Original summary written by iadujour.fr: figures and claims are the source’s; the prompt is a desk proposal, not a quotation.
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