AI that aligns electricity costs with production planning

Reduce your electricity costs by 3% to 20%

Integrate market volatility into your production planning

Produce at the right time without disrupting production

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Technicien en usine, portant un casque de sécurité, consultant sur une tablette un tableau de bord avec graphiques de performance/énergie, sur fond de ligne de production ; badge « Solar Impulse Efficient Solution – July 2024 » en haut à droite.

Tangible results

3 to 20%
savings on electricity bills across our customer base
< 4 months
return on investment
5%
of electricity shifted to lower-carbon hours

The factory of the future with HIGHCAST

Control and leverage electricity price volatility

Align industrial performance and energy transition

Improve your profitability and strengthen your competitiveness

Place AI at the heart of your planning decisions

Our sectors

The challenge

Grinding accounts for nearly half of the site’s electricity consumption.

Constraints

Production hours are limited during the day due to noise restrictions.

Flexibilities

The grinder can speed up or slow down production and feed a buffer silo.

Results

12% savings on the final electricity bill.

Our approach

  • Time constraints and production windows are set directly in the software.
  • Our platform identifies the optimal operating hours while meeting daily and weekly tonnage targets.
  • The production manager generates measurable electricity savings without disrupting production.

The challenge

Melting furnaces that operate between 8 and 24 hours per day, with significant overconsumption during start-up.

Constraints

Strong operational constraints and a machine load rate above 95%.

Flexibilities

Weekly planning of all melting operations with a 3 MW furnace, the first melt of which is particularly energy-intensive.

Results

20% gains thanks to optimized scheduling of melting operations.

Our approach

A technical study to identify scheduling flexibilities aligned with the plant’s challenges and operating costs, including:

  • Optimization of the consumption profile
  • Leveraging excess capacity on certain machines
  • Anticipation and management of grid stress days

The resulting operations and action plan are validated with operators.

The challenge

Lack of real-time visibility to adjust short-cycle batch processes (50–80 min).

Constraints

The silo filling rate must constantly remain between 30% and 90%.

Flexibilities

Silo restarts can be advanced or delayed (5 to 40 minutes), several times a day, to generate savings. This also applies to maintenance operations.

Results

7% reduction in the electricity bill.

Our approach

With HIGHCAST, operators are fully autonomous in adjusting batch process settings while respecting all production constraints.

Building materials

Metallurgy

Pulp & paper industry

Our partners

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