AI is accelerating efforts toward a greener world by helping reduce CO2 emissions and improve climate outcomes, explains Jeffrey Hagen of ML6.
3 May 2023- As the EU aims for climate neutrality by 2050, companies face increasing pressure to transparently monitor and reduce emissions across sectors, with energy production accounting for over 75% of greenhouse gases.
AI and data analytics provide precise, scalable ways to track emissions, identify inefficiencies, and predict future carbon footprints. Applications range from optimizing energy use in buildings through smart thermostats and lighting, to managing decentralized renewable energy grids that balance supply and demand despite weather variability.
On the consumer side, AI-driven sensors help adjust heating, cooling, and lighting based on occupancy and real-time conditions, including intelligent streetlighting that adapts to pedestrian activity. By targeting the highest-emission business areas and gradually adopting AI-led sustainability measures, organizations can achieve meaningful environmental impact while boosting operational efficiency.
- Translation, original source: Dutch