Machine learning to forecast electricity hourly LCA impacts due to a dynamic electricity technology mix

Machine learning to forecast electricity hourly LCA impacts due to a dynamic electricity technology mix

Conventional Life Cycle Assessment (LCA) that relies on static coefficients is usually based on yearly averages. However, the impacts of electricity supply vary remarkably on an hourly basis. Thus, a company production plan is reassessed to reduce selected LCA impacts due to electricity consumption....

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Bibliographic Details
Main Authors: Pietro Portolani, Andrea Vitali, Simone Cornago, Davide Rovelli, Carlo Brondi, Jonathan Sze Choong Low, Seeram Ramakrishna, Andrea Ballarino
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Sustainability
Subjects:
life cycle assessment
machine learning
electricity
forecasting
dynamic life cycle inventory
dynamic LCA
Online Access:https://www.frontiersin.org/articles/10.3389/frsus.2022.1037497/full

Internet

https://www.frontiersin.org/articles/10.3389/frsus.2022.1037497/full

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