How AI and the cloud are challenging sustainability

Deloitte forecasts that data centers will be responsible for two percent of global electricity consumption in 2025, which corresponds to around 536 terawatt hours (TWh). With the growing spread of AI and other energy-intensive applications, this figure is expected to double to 1,065 TWh in just five years. According to Bitkom, AI applications already account for 15 percent of computing power in Germany alone, and this figure is expected to rise to 40 percent by 2030.

This also increases emissions. To implement sustainability commitments, operators must tackle three key challenges head on: mitigating the negative environmental impact of AI growth through new sustainability strategies, focusing on Scope 3 emissions and meeting reporting and regulatory requirements. Schneider Electric identifies six ways to overcome these hurdles:

1. Check existing infrastructure and processes for efficiency improvements: Data center operators should thoroughly monitor and evaluate their current processes. Identifying inefficiencies in cooling systems, server utilization and energy management can pave the way for significant optimizations.
2. Modernize infrastructure: Moving to energy-efficient infrastructures is critical. Modern servers, advanced cooling systems and renewable energy sources are essential for sustainability. Planning that focuses on energy efficiency from the outset can also significantly reduce the carbon footprint. But retrofitting older systems with new technologies can also save energy. For example, energy consumption can be reduced by using liquid cooling instead of conventional air cooling.
3. Work with suppliers who prioritize the decarbonization of their supply chain and the reduction of Scope 3 emissions: Sustainability cannot be achieved single-handedly. A significant portion of a company's carbon footprint comes from the activities of suppliers and partners. By working with suppliers that are committed to decarbonizing their supply chains, operators can effectively address Scope 3 emissions - the largest source of greenhouse gases for companies. Suppliers that provide environmental product declarations enable data center operators to better control their Scope 3 emissions and create a more sustainable future.
4. Use advanced reporting tools: Organizations need to be able to monitor and control their operations to effectively manage their energy consumption. These tools collect and analyze data and automate tasks to optimize performance. Real-time monitoring systems allow operators to identify inefficiencies and take immediate corrective action.
5. Optimize resource use with AI and machine learning: Ironically, AI can be part of the solution to the sustainability problems it causes. Machine learning algorithms can optimize resource use, increase efficiency and predict maintenance needs, reducing waste and emissions. Predictive analytics can also forecast energy demand, enabling better integration of renewable energy and minimizing dependence on fossil fuels.
6. Continuously review and improve: Sustainability is an ongoing process. It is essential to continuously review processes and make adjustments where necessary. Operators should establish a cycle of evaluation, innovation and implementation to stay one step ahead of challenges and opportunities. Benchmarking against industry standards and adopting best practices help to ensure progress towards sustainability.

Vincent Barro, Vice President Secure Power DACH at Schneider Electric © Schneider Electric

"Sustainability is no longer a nice-to-have, but a prerequisite for successfully shaping the digital transformation in the long term," says Vincent Barro, Vice President Secure Power DACH at Schneider Electric.