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Transition 5.0: Reducing Energy Costs with Predictive Maintenance

The launch of Transition 5.0 marks a new chapter in industrial evolution. Following digitalization and automation, the focus now shifts to ecological transition and skill enhancement.

The term Transition 5.0 refers to a new economic development model that combines a green approach—a strong focus on environmental and sustainability policies—with the widespread use of digital technologies. This challenging path promises significant competitive advantages to organizations ready to embrace it.

This groundbreaking shift offers unprecedented opportunities for Italian companies. The fifth industrial revolution not only redefines production models towards environmental sustainability and energy efficiency but also fosters a more collaborative and intuitive relationship between people and machines.

In this new phase, specific bonuses and incentives amounting to €6.3 billion are being introduced to support Transition 5.0. Before examining them in detail, it’s essential to understand the evolutionary context.

The concept of Industry 4.0 emerged over a decade ago with the introduction of interconnected, technologically advanced machines in the industrial sector.

Europe embraced this concept by introducing measures to promote the adoption of advanced technologies in industry, while the United States adopted similar strategies through the Manufacturing USA initiative, focused on innovation and digital technology adoption.

Industry 4.0 refers to the fourth industrial revolution, characterized by the integration of advanced digital technologies in production processes. The Internet of Things (IoT), artificial intelligence, advanced robotics, and other technologies enabled greater automation, connectivity, and data analytics in the industry.

These technologies have led to improvements in efficiency, cost reduction, and increased flexibility for businesses. Continuous research and development have driven new technological solutions, paving the way for new business models and production processes.

Now, with the advent of Transition 5.0, we are entering a new industrial era that emphasizes environmental sustainability and human-machine collaboration. This transition provides companies with unparalleled growth opportunities, supported by significant financial incentives to adapt and thrive in this new industrial landscape.

Compared to Industry 4.0, which focuses on automation and machine interconnectivity, Industry 5.0 places greater emphasis on collaboration between humans and advanced technologies. This shift can lead to increased flexibility, creativity, and community well-being.

In Italy, the government is promoting Transition 5.0 by offering incentives to businesses to encourage innovation and address the challenges of digital and green transition. These incentives include tax credits for investments in tangible and intangible assets, energy consumption reduction, promotion of renewable energy, and staff training in technologies for digital and energy transition.

To qualify for Transition 5.0 incentives, the following requirements must be met:

• Invest in at least one of the products listed in Attachments A and B of the Transition 4.0 plan, as these products should be integrated into the company’s production management system or supply chain;

• The products must be part of an innovative project aimed at achieving a reduction in energy consumption;

• The energy consumption reduction must be at least 3% compared to the energy consumption of the production facility located in Italy or 5% compared to the energy consumption of the processes impacted by the investment.

For expenses related to employee training as part of the Transition 5.0 Plan, these are considered eligible if aimed at acquiring or consolidating essential skills in digital and energy transition technologies for production processes. Such expenses may represent up to 10% of investments in capital goods, with a cap of €300,000.

The Transition 5.0 credit can be used by submitting the F24 form in a single installment. Any unused balance as of December 31, 2025, can be spread over five equal annual installments. To benefit from the Transition 5.0 Plan incentives, companies must submit four documents: a preliminary notification to Mimit, a preliminary certification, a subsequent notification to Mimit, and a subsequent certification.

For further details, consult the Ministry website: https://www.mimit.gov.it/it/notizie-stampa/mimit-dl-pnrr-al-via-transizione-5-0-6-3-miliardi-per-la-sfida-green-e-digitale-delle-imprese.

 

Reducing Energy Consumption with Predictive Maintenance

In the context of Industry 5.0, implementing automated systems for predictive maintenance primarily aims to ensure more efficient energy use by continuously monitoring the state of production facilities.

Consequently, there is a growing need to closely monitor the condition of facilities and their components to optimize production efficiency and control costs. This is achieved through connected devices capable of transmitting not only process data but also detailed quality information, such as temperature, vibration, pressure, and operational status. Such information is sent to the site’s central processing system to enable effective monitoring that optimizes production and minimizes costly unplanned downtime.

Moreover, a growing number of organizations are adopting smart solutions and systems for predictive maintenance to reduce energy waste in industrial environments. These technologies support intelligent production, enhancing overall efficiency in equipment used for industrial process monitoring and analysis. Predictive maintenance is gaining traction due to its ability to promptly identify issues in industrial machinery.

Heating, ventilation, and air conditioning (HVAC) systems are among the primary sources of energy consumption within industrial infrastructure, making their continuous, efficient operation essential. Malfunctions in any mechanical equipment can lead to increased vibration or noise, resulting in energy loss. Examples of such malfunctions include inadequate bearing lubrication, which can cause friction and excessive energy consumption, or misalignment of a fan rotor mass due to dust accumulation, contributing to unnecessary energy use. Additionally, the rise in temperature due to insufficient lubrication can represent wasted thermal energy.

The goals of predictive maintenance solutions include improving energy efficiency and adopting a sustainable approach. This involves optimizing energy use and identifying new opportunities to reduce waste and energy costs.

Predictive maintenance systems also provide alerts in case of issues or when component replacement is necessary.

In contrast to the practice of ignoring malfunctions and running equipment until it fails, intelligent diagnostics provide a comprehensive situation analysis.

Among the most common technologies used in predictive maintenance are the Internet of Things (IoT) and AI-enhanced data analytics.

IoT-based automation enables devices to digitally connect to a centralized gateway via wireless sensors and actuators, allowing personnel to monitor and manage industrial plant operations from anywhere in the world. This system also enables data collection and analysis using artificial intelligence/machine learning algorithms on a centralized cloud platform.

Condition monitoring allows real-time tracking of critical components, such as compressors, motors, and fans, promptly detecting any anomalies and enabling predictive maintenance interventions through intelligent, real-time monitoring.

 

Conclusion

Predictive maintenance, applied across a wide range of industrial applications and smart infrastructures, contributes to improved reliability and operations, reduces energy waste and operational costs, and ensures optimal operating conditions.

There are several technologies on the market that enable predictive maintenance; one of the most efficient and easily integrable within existing industrial facilities is Powua, Avantune’s IoT Orchestration platform, powered by Artificial Intelligence. This platform can be adopted by companies leveraging economic incentives available under the Transition 5.0 plan.

 

 

04/04/2024

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Avantune is a digital company that develops Cloud, IoT and AI business solutions. With Genialcloud, we help customers orchestrate people and processes; with Powua, we help customers orchestrate IoT and IT resources. Our headquarter is in Toronto, with offices in Canada, United States and Italy.

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