Written by: Fatma Younes
Artificial intelligence is playing an increasingly important role in global climate strategies, contributing to the improvement of weather forecasts, the management of renewable energies, and the monitoring of emissions, amidst challenges related to the energy consumption of data centers and the use of the technology in the fossil fuel sector.
The Role of Artificial Intelligence in the Renewable Energy Sector
AI systems contribute to predicting solar radiation levels, cloud coverage, and wind speeds, helping power grid operators accurately estimate the volume of clean electricity production and avoid waste. Data from the International Energy Agency indicated that the application of these technologies could save a significant amount of energy by 2035, equivalent to the annual demand of entire countries. Environmental organizations also benefit from advanced algorithms to schedule electric vehicle charging and operate appliances at times most favorable to the environment, thus reducing emissions.
Accelerating Weather Forecasts and Emissions Monitoring
In the field of meteorology, modern technology has contributed to reducing the time required to achieve major forecasting advancements compared to traditional methods. Global entities and major companies rely on AI to improve the prediction of natural risks and disasters such as rivers and floods days before they occur in many countries. Furthermore, AI-powered satellites provide accurate data for monitoring greenhouse gases and harmful emissions in energy facilities, mines, and waste disposal branches, helping cities formulate effective environmental action plans.
Environmental Challenges and Dual Uses
On the other hand, technological applications raise some environmental concerns, particularly the high energy consumption associated with data centers and the use of the technology in geological data analysis, exploration, and optimizing fossil fuel production. Experts emphasize that the environmental outcomes of artificial intelligence depend primarily on decisions regarding its areas of application, with the need to balance its significant benefits in combating climate change with its increasing demands for energy infrastructure.
