Data driven technology for efficiency in energy intensive industries

by | Nov 4, 2020 | 0 comments

Application Track:

Ready Made

Code:

REACH-2020-READYMADE-IDEA75_1

Proposed by:

IDEA 75

Entity Logo:

Summary of the entity:

Idea75 (www.idea75.it) provides innovative solutions for process optimization and energy efficiency of industrial plants following the new guidelines of Industry 4.0 and ISO 50001. The company has gained skills and experience in design and implementation of system automation, monitoring and supervision of production lines and automatic control systems. Idea75 has installed a smart supervisor for the energy efficiency of the flour mills for the largest European producer of semolina flour. The smart supervisor was installed in 6 production plants monitoring over 3000 devices.

Summary of the challenge:

The goal is to raise awareness of the energy consumption during operations at business and production management level, to reach energy efficiency in the energy intensive industry.

Description:

This challenge is a combination of CPS and IoT technologies to reach energy efficiency in the energy intensive industry by increasing awareness of the energy consumptions during operations at business and production management level.

International standards such as e.g. ISO50001 oblige organizations to be committed to address their impact, conserve resources, and improve profits through efficient energy management.

The challenge aims to overcome in industry the current minor attention to energy savings compared to the direct installation of renewable sources. This is achieved by making consumers more aware of their actual consumption so that they can change their behavior to save energy and become more energy efficient. Real-time direct feedback on energy consumption is vital to harness the full energy savings potential of smart CPS/IoT solutions. The ultimate scope of the experiment is to promote the need for energy managers within small and large energy intensive companies.

Energy monitoring and control solutions are envisaged to introduce a proactive and predictive approach to energy supply and consumption strategy.

A widespread ability to monitor and understand their own consumption is also useful for policy makers to effectively direct, monitor and evaluate their measures and actions.

Data:

Expected outcomes:

The expected results are:

  • to create an innovative decision support system for continuous energy efficiency based on real-time analytics and visualization of the data on power consumption;
  • to reduce operating costs of energy-intensive industrial plants, through the reduction of 10% energy consumption and with less occurrence of non-stop plant downtime scheduled.

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