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Schneider Electric looks at the impact of artificial intelligence on energy use, focusing on HVAC systems and emissions reductions during global conference.
mining is undergoing a dramatic transformation with the introduction of artificial intelligence into its operations. Since 2023, companies in the sector have been investing heavily in AI technologies to improve processes and optimize natural resources. Artificial intelligence enables unprecedented automation, ensuring faster and more efficient processes in mines around the world. The use of advanced data and intelligent algorithms not only enhances efficiency but also ensures a strategy de sustainable growth.
In a recent report from September 2023, consulting firm McKinsey highlighted that the extractive industry is rapidly adapting to technological advances, with artificial intelligence playing a crucial role. This technological shift not only improves safety in mining operations, but also pushes the industry towards more responsible and conscious practices. The application of artificial intelligence in mining is not merely theoretical; it is a revolution in practice, which is shaping the future of mineral exploration with a renewed focus on sustainability and efficiency.
Digital Transformation: The Role of AI in Mining Energy and Efficiency
Furthermore, the use of AI in mining is closely linked to the energy issue. Companies such as Schneider Electric, at its global conference in October 2023, highlighted how artificial intelligence can transform energy consumption in mining operations. Studies presented suggest that AI systems, applied to energy management, can drastically reduce emissions in the mining sector. These developments are part of a larger trend of moving towards greener energy sources and more sustainable practices in the industry.
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As mining advances, the partnership between technological innovation and environmental responsibility becomes vital. Combining artificial intelligence with modern energy solutions aims not only to improve profitability, but also to protect the environment. The current focus is on how these technologies can balance the growing demand for minerals with the need to preserve the planet for future generations.
Sources such as McKinsey & Company and Schneider Electric have been instrumental in predicting a path where AI integration redefines business strategy in mining, fostering a more resilient sector prepared for future challenges. With real conditions, the future of mining has never looked so promising and dynamic.
The Influence of Artificial Intelligence on Energy Sustainability
In a landmark moment, the International Energy Agency (IEA) highlighted the crucial role of Schneider Electric during a landmark event in São Paulo, Brazil, in January 2025. Schneider Electric, recognized worldwide for its leadership in digital energy management and automation, has released two new reports through its Sustainability Research Institute. These reports aim to shed light on critical questions about the impact of artificial intelligence in sustainability, with a particular focus on energy consumption associated with AI.
Energy Consumption Analysis by Artificial Intelligence
The first report, entitled Artificial Intelligence and Electricity: A System Dynamics Approach, assesses four potential scenarios for the electricity use of artificial intelligence over the next decade. Given the growing concerns about the energy impact of AI, experts Rémi Paccou from the Schneider Electric Institute for Sustainability Research and Fons Wijnhoven from the University of Twente have developed a system dynamics model that anticipates various scenarios for the electricity demand of AI. In addition, they highlight strategies for sustainable evolution, reducing environmental impacts. The main idea is not to predict the future, but rather to provide tools to understand the complex aspects that influence the future of AI.
Futuristic Scenarios and Strategic Recommendations
The scenarios explored in the study range from sustainable development of artificial intelligence to limits to growth, extreme scenarios such as ‘Boundless Abundance’ and even potential energy crises caused by AI. In addition to the analyses of these scenarios, the report includes valuable recommendations for policymakers and industry leaders, encouraging a balance between technological progress and environmental sustainability. The second report, entitled AI-Powered HVAC in Educational Buildings: A Net Digital Impact Use Case, was developed by Paccou in partnership with Gauthier Roussilhe, and provides insight into how HVAC systems integrated with artificial intelligence can optimize energy efficiency in educational buildings.
The HVAC Revolution with Artificial Intelligence
With HVAC systems accounting for 35% to 65% of electricity consumption in buildings, the research examined 87 educational properties located in Stockholm, Sweden, over an extended period of time. real conditions. Between 2019 and 2023, a significant reduction of 65 tons of CO2 equivalent per year was observed. This value is approximately 60 times greater than the carbon impact of the AI system used. The research also reveals opportunities for greater carbon reductions in environments with more demanding heating and cooling demands.
International Comparison and Promising Results
A comparative analysis between Stockholm and Boston has revealed that implementing the same AI-based solution in the American city could result in carbon emissions savings seven times greater than those achieved in the Swedish capital. These studies were released simultaneously with the Global Conference IEA Energy and AI Conference, with extensive participation from Schneider Electric. The event featured experts from the energy, technology, government, civil society and academia sectors discussing the impact of artificial intelligence on global energy systems and its application to achieve climate goals.
Committed to Shaping the Future of Sustainable Energy
Schneider Electric’s Global CEO Olivier Blum, along with Pankaj Sharma, Executive Vice President, Data Centers and Networks, participated in a panel discussion at the event. “The publication of our research comes at an opportune time, as the IEA conference highlights the transformative power of artificial intelligence in the energy sector,” said Vincent Petit, Senior Vice President, Climate Research and Energy Transition, Schneider Electric. “We are determined to continue to positively influence the future of energy and climate solutions,” he concluded.
Source: © SCHNEIDER ELECTRIC Press
