Soluciones

Carbon neutrality

Aiming for a decarbonized society

Achieving carbon neutrality starts with the right tools—whether it’s Factory Automation equipment, power distribution control, or IoT platforms for visualizing, analyzing, and diagnosing energy use. These solutions empower businesses to take real steps toward a more sustainable future by improving efficiency, reducing emissions, and supporting data-driven decision-making. Investing in these technologies today lays the groundwork for a cleaner, smarter tomorrow.

Efficiency and sustainability for competitive advantages

Sustainability and profitability are increasingly connected. By enhancing operational efficiency and implementing high-performance electrical equipment, businesses can achieve substantial reductions in energy consumption—directly lowering CO₂ emissions across operations and the broader value chain.
These improvements are not short-term fixes; they deliver lasting value as long as energy-saving measures remain in place. In addition to supporting climate goals, they also contribute to more efficient resource use and can lead to a meaningful reduction in production costs.
This approach forms the foundation of a more sustainable, efficient, and competitive business model—one that reflects commitment to carbon neutrality and long-term value creation.

Contents

The path to energy saving
Our solutions for achieving carbon neutrality
Application examples

The path to energy saving

By leveraging energy data, companies can support ongoing energy-saving efforts, such as identifying areas for improvement and reducing CO₂ emissions.

By analyzing and using the collected and visualized data, identifying areas for improvement directly contributes to reducing CO₂ emissions.
By implementing energy-saving support equipment in targeted areas, effective countermeasures can be introduced, leading to optimized operation and improved efficiency.

By reducing energy consumption, CO₂ reduces emissions themselves.

The introduction of energy-saving equipment is directly linked to the reduction of CO₂ emissions.
Integrating it with equipment upgrades enables more efficient energy use, which in turn helps reduce CO₂ emissions.

These actions not only benefit the environment but also enhance operational efficiency and cost-effectiveness.

Our solutions for achieving carbon neutrality

We offer comprehensive carbon-neutral solutions by not only providing high-efficiency equipment that optimizes energy usage but also by supporting continuous improvement initiatives through advanced data management. This includes data collection, visualization, analysis, and diagnostics, enabling businesses to monitor and enhance their energy efficiency over time.

What does this look like in practice?

The IoT platform collects and analyzes energy data from machine tools, air compressors, and furnaces in a production environment, creating a data-driven system tailored to meet customer needs.

The IoT platform enables:

Visualization of energy consumption to identify potential savings,
Energy-specific consumption management to improve efficiency,
Energy loss analysis to minimize unnecessary energy use.

These insights are integrated into a data management system, which drives operational improvements through a continuous Plan (P) – Do (D) – Check (C) – Act (A) cycle.

Key initiatives include:

Awareness reform to promote energy efficiency,
Process improvements to enhance productivity,
Verification of benefits from replacing inefficient machines with high-efficiency equipment.

Data-driven operational improvements enable continuous CO₂ reduction

We further provide a comprehensive platform for collecting and analyzing all energy and production-related data. By visualizing, analyzing, and diagnosing this information, we help our customers optimize operations and drive continuous improvements on their production floors.

Tracking the transformation: Before vs. After

Before implementing an advanced analysis system, energy loss identification was challenging due to low data granularity and the inability to link production information with energy consumption. This made it difficult to pinpoint the causes of energy waste.

After integrating a more detailed monitoring system, energy losses can now be identified more precisely by observing energy consumption trends and specific consumption graphs broken down by day and hour. This allows companies to detect waste efficiently.

Additionally, by reviewing production and energy data together, the causes of waste can be better understood, enabling more effective problem-solving.
Further improvements come from AI-driven analysis, which automatically detects key causes of energy loss and suggests actionable improvements. This ensures that the most critical areas for optimization are clearly identified, leading to more efficient energy management and reduced waste.