A customer replaced an old injection molding machine with a new one aiming to reduce energy consumption.
During regular data analysis, a spike in consumption was identified. Local investigation revealed that the contractor had incorrectly performed the assembly, resulting in energy consumption being five times higher.
A rubber compound company gained insight into the consumption of the biggest energy consumers in the company through the use of measuring cases. A collection of measures related to proper energy management, such as adjusting settings, turning off equipment when not in use, and optimizing oven and press consumption, led to a saving of about 25% (€100,000) on the energy bill.
An industrial bakery operates in 3 shifts. On Sundays, the "startup" shift starts the factory at 11:00 PM. Out of habit, they start the oven first to bring it to temperature. Based on the analysis of energy consumption, it can be deduced that the oven reaches temperature after 2 hours. Consequently, the oven remains idle for 5 hours unnecessarily. Changing the factory startup procedure leads to a 5% saving on the total gas bill.
The services of Energy-IO are often highlighted in the media. Above are some reports showing how we have been able to achieve significant energy reduction for two large industrial consumers.
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Every residential house nowadays has a smart meter. They know exactly what it costs if a washing machine runs an hour shorter or longer. But in the manufacturing industry? There, they annually pay at least 250,000 euros to the energy company. But they have no idea which process or machine really runs efficiently, or is just a huge energy leak.
Data-Driven Energy Reduction
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7554 PA Hengelo
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