Control your energy flow. Optimize your processes and utilities. Engage your team. Implement your energy strategy for the future.
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On top of collecting and harmonising our data, the solution and its AI detect new energy optimisations on a continuous basis. As a result, we easily received ISO50001 and time of the return on our investment was very short.
Nicolas Dotal – Energy Manager
METRON-EVA® Factory is a platform solution, which is ergonomic and easy for every-day use of our operational teams
Jean-Baptiste Debure - Maintenance Manager
Process and utility optimization - Sterilization, cleaning and steam network
1M€/year in steam consumption
1M€/year of electricity consumption
Process: Recommendations to optimize the consumption of the cleaning and UHT sterilization processes without impacting production. Real-time monitoring of the impact of actions.
Steam: Modelling of the entire network and automatic detection of consumption drifts due to defective steam traps.
150K€ per year
Optimization of a utility - Compressed air
1M€ / year for energy consumption of the compressors
Consumption 13GWh / year
Optimization of the sequencing of the 6 variable and fixed speed compressors
Dynamic model that adjusts as soon as a new air flow rate is requested
80K€ per year
Optimization of a utility - Superheated water
30 GWh of thermal energy consumption / year
Predictive recommendations to the operator to optimize the management of superheated water distribution circuits
6% per year
Process optimization - Electric arc furnace
92 GWh / year
Modeling of the furnace
Real-time operator alerted on the optimum time to stop the arc between each batch, in order to reduce energy consumption without slowing down the production rate
200K$ per year
Process optimization - Paper bleaching
65 GWh / year, 25% of the plant's total energy consumption
Paper machine modeling to reduce chemical consumption for paper bleaching
Operators receive real-time recommendations on the optimal dosage of the bleaching product
225K$ per year
Process optimisation - Smelting furnace
Most energy-intensive device on site
Annual energy consumption > 100 GWh
Detect the most influential flexible parameters on consumption
Recommendations of optimal operational parameters given in real time to operators
400K€ per year
Industry is currently undergoing a triple revolution: digital, environmental and societal. A change that can be explained particularly by the multiplication of sensors on industrial sites, a marked [...]
In the United Kingdom, industry accounts for a quarter of greenhouse gas emissions1. Eight industrial sectors currently emit around 2 thirds of industrial carbon emissions2: cement, ceramics, chemic [...]
Today, Data Science plays a key role in transforming industrial energy data into operational resources to optimize process efficiency in terms of external and internal factors. An Artificial Intellige [...]
