Interview with Vincent Sciandra: "Towards an energy-efficient future"
It all began with the first industrial revolution. With the transition to new manufact [...]
Our unique AI, supported by Machine Learning and ontologies, is fully context-aware and provides unrivaled insight into energy usage. METRON-EVA®, the "Energy Virtual Assistant"strong>, collaborates with experts on energy intelligence strategies.
The platform seamlessly connects to all your data in real time. Energy knowledge bases and Data Science are used to digitalize your factory. Our AI simulates and predicts your energy patterns to detect non-intuitive optimizations. METRON-EVA®, Energy Virtual Assistant, collaborates with your teams and helps you implement the best scenarios.
METRON is commited to constant innovation & improvement and is actively engaged in R&D. Our solution combines technology 4.0 such as BIg Data & Artificial Intellingence and human expertise of energy engineers.
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