| KEYWORD |
Assessment of the energy and water consumption due to AI data center in future scenarios
keywords ARTIFICIAL INTELLIGENCE, ENERGY CONSUMPTION, ENERGY MODELS, SCENARIO ANALYSIS, WATER FOOTPRINT
Reference persons LAURA SAVOLDI
Description The decarbonization and energy transition paths strongly relies on the electrification of the end-uses. The emergence of artificial intelligence (AI) could help in improving the electricity dispatchment more rapidly and efficiently as expected. For instance, Enel succeeded in decreasing the power outages by 15% making use of AI to identify and prevent grid problems. By the way, computations performed in machine learning and AI require massive amounts of energy and data centers require heat removal which often comes through water cooled systems. These tasks make the modelling (both energy and water use) of these technologies aspects which need to be taken into account. This thesis proposes the evaluation of the energy consumption due to machine learning and AI, and an assessment of its impact on the future Italian and/or European energy system.
Deadline 02/07/2025
PROPONI LA TUA CANDIDATURA