Andrea Moglianesi
Role of technology learning in the decarbonization of the iron and steel sector: a global approach using a TIMES energy model.
Rel. Laura Savoldi, Daniele Lerede, Massimo Tavoni. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2021
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Abstract
The iron and steel sector, in addition to being one of the most impacting for greenhouse gases emissions on a global level (from 7 to 9% yearly), is one of the most difficult sectors to decarbonise, due to fierce competition and the absence of economically comparable alternatives to traditional processes, based on the use of fossil fuels. This paper therefore aims to analyze the impact that future investments in decarbonising technologies may have on their technological development, taking into account the uncertainty intrinsic to their correlation (called technology learning), and consequently, on the decarbonisation of the sector, combined with the presence of policies for the reduction of emissions on a global scale.
Using an appropriate energy system model (EUROFusion TIMES Model), a learning model (Wright curve), and having supposed different levels of learning, a series of simulations were run
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