The rise in energy costs and new sustainability regulations require companies to find solutions to optimize production energy efficiency and reduce energy consumption.

The industrial landscape is facing increasing challenges, including the need to lower energy consumption to comply with new environmental sustainability regulations and qualify for the tax incentives offered by the Transition 5.0 Plan.

In this article, we’ll explore how, with the help of Artificial Intelligence and Zerynth’s Industrial IoT & AI Platform, companies can optimize production energy efficiency and reduce factory energy consumption. Read on to learn more!

Why Invest in Energy Monitoring Solutions?

Energy monitoring solutions are essential to optimize production costs and comply with new sustainability and social responsibility regulations.

For instance, the EU’s CSRD regulation, effective from January 5, 2023, requires European companies to report on their social and environmental impact, including the impact of their environmental, social, and governance (ESG) initiatives on their business.

ESG (Environmental, Social, Governance) consists of a set of measurement criteria and standards for an organization’s environmental, social, and governance activities. These criteria translate into procedures and best practices that companies must adopt to achieve goals related to environmental impact.

Another regulation gaining attention is the Transition 5.0 Plan, which aims to support all Italian companies that, in 2024 and 2025, invest in production facilities located in Italy with the goal of reducing energy consumption.

It’s clear that energy monitoring solutions are not only fundamental to optimize production energy efficiency but also crucial to comply with new regulations and secure the fiscal incentives provided under Industry 5.0.

Simplify Energy Monitoring with Zerynth AI

The “Consumption” section of Zerynth’s Machine Monitoring app allows real-time remote monitoring of the energy consumption and emissions of production and service machinery, as well as electrical panels. It provides cost analysis and CO₂ emissions data (in kg) using a powerful AI algorithm.

This tool identifies areas where energy is wasted or processes are inefficient, enabling immediate decisions to optimize production and energy consumption.

Consumption Section of the Machine Monitoring App

By setting energy consumption thresholds, companies can avoid excessive energy use and quickly implement strategies to reduce energy costs.

Additionally, the Machine Monitoring app helps optimize production energy efficiency by tracking machinery in real time, identifying inefficiencies before they escalate into issues that impact production.

Status and Alerts Section of the Machine Monitoring App

A Real-World Example of Energy Monitoring: Scapigliato

Scapigliato Srl is a company engaged in the circular economy, specializing in the disposal and treatment of urban and non-hazardous special waste. The company aims to create value for the local community by sharing the benefits of the circular economy.

Scapigliato turned to Zerynth to maximize biogas extraction, increase energy production, and reduce gas emissions into the environment. Additionally, they sought to lower the oxygen content in biogas and increase methane levels.

By implementing the Zerynth Industrial IoT & AI Platform, Scapigliato reduced operational costs by 12% in less than two months and achieved real-time monitoring of 32 leachate wells, thus lowering energy consumption and operational expenses.

Want to learn more about how we can help your company with energy monitoring solutions and production optimization? Contact us today for a quote!