Taxonomy for Industrial Cluster Decarbonization: An Analysis for the Italian Hard-to-Abate Industry

The share of industry in final global energy consumption was more than 30% in 2020, of which, the hard-to-abate sectors accounted for almost 60% of total final consumption in industry. Similarly, in Europe, industry accounts for around 25% of final energy consumption. In order to reduce the impact o...

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Main Authors: Sonja Sechi, Sara Giarola, Pierluigi Leone
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/22/8586
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author Sonja Sechi
Sara Giarola
Pierluigi Leone
author_facet Sonja Sechi
Sara Giarola
Pierluigi Leone
author_sort Sonja Sechi
collection DOAJ
description The share of industry in final global energy consumption was more than 30% in 2020, of which, the hard-to-abate sectors accounted for almost 60% of total final consumption in industry. Similarly, in Europe, industry accounts for around 25% of final energy consumption. In order to reduce the impact of industry in energy consumption and greenhouse gas emissions, Europe has set many policies that support and regulate the sector, including pricing carbon emissions in a cap-and-trade scheme called the European Emission Trading Scheme (EU ETS). According to the EU ETS, in 2021 the verified emissions of all stationary installations were around 1.3 billion tons of carbon dioxide equivalent emissions. In 2021, the total allocated allowances amounted to around 1 billion tons of carbon dioxide equivalent emissions, half of which were freely allocated. After reviewing the existing modeling approaches for industrial clusters and the available datasets, and assessing the energy consumption and carbon dioxide emissions at plant level using a geographical information system approach (GIS), a taxonomy for industrial cluster decarbonization was introduced. This taxonomy shows that describing industry as sets of clustered installations rather than based on the conventional sectoral economic classification provides more insights into energy transition. First, the cluster description provides a more accurate techno-economic assessment based on a finer characterization of economies of scale compared to traditional energy systems models. Second, the industrial clustering approach may more realistically show the feasibility, in addition to the costs and benefits from coupling industry with transport (e.g., industrial fleets and logistics) or buildings (e.g., city scale), due to a more detailed representation of the energy sources and sinks.
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spelling doaj.art-c76e027b41544ddd8dd925d9348a17452023-11-24T08:15:25ZengMDPI AGEnergies1996-10732022-11-011522858610.3390/en15228586Taxonomy for Industrial Cluster Decarbonization: An Analysis for the Italian Hard-to-Abate IndustrySonja Sechi0Sara Giarola1Pierluigi Leone2DENERG Department of Energy “Galileo Ferraris”, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Torino, ItalySchool of Management, Polytechnic of Milan, 20156 Milan, ItalyDENERG Department of Energy “Galileo Ferraris”, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Torino, ItalyThe share of industry in final global energy consumption was more than 30% in 2020, of which, the hard-to-abate sectors accounted for almost 60% of total final consumption in industry. Similarly, in Europe, industry accounts for around 25% of final energy consumption. In order to reduce the impact of industry in energy consumption and greenhouse gas emissions, Europe has set many policies that support and regulate the sector, including pricing carbon emissions in a cap-and-trade scheme called the European Emission Trading Scheme (EU ETS). According to the EU ETS, in 2021 the verified emissions of all stationary installations were around 1.3 billion tons of carbon dioxide equivalent emissions. In 2021, the total allocated allowances amounted to around 1 billion tons of carbon dioxide equivalent emissions, half of which were freely allocated. After reviewing the existing modeling approaches for industrial clusters and the available datasets, and assessing the energy consumption and carbon dioxide emissions at plant level using a geographical information system approach (GIS), a taxonomy for industrial cluster decarbonization was introduced. This taxonomy shows that describing industry as sets of clustered installations rather than based on the conventional sectoral economic classification provides more insights into energy transition. First, the cluster description provides a more accurate techno-economic assessment based on a finer characterization of economies of scale compared to traditional energy systems models. Second, the industrial clustering approach may more realistically show the feasibility, in addition to the costs and benefits from coupling industry with transport (e.g., industrial fleets and logistics) or buildings (e.g., city scale), due to a more detailed representation of the energy sources and sinks.https://www.mdpi.com/1996-1073/15/22/8586industrial clustersdecarbonizationhard-to-abate sectorspatial analysisindustrial areadatabase
spellingShingle Sonja Sechi
Sara Giarola
Pierluigi Leone
Taxonomy for Industrial Cluster Decarbonization: An Analysis for the Italian Hard-to-Abate Industry
Energies
industrial clusters
decarbonization
hard-to-abate sector
spatial analysis
industrial area
database
title Taxonomy for Industrial Cluster Decarbonization: An Analysis for the Italian Hard-to-Abate Industry
title_full Taxonomy for Industrial Cluster Decarbonization: An Analysis for the Italian Hard-to-Abate Industry
title_fullStr Taxonomy for Industrial Cluster Decarbonization: An Analysis for the Italian Hard-to-Abate Industry
title_full_unstemmed Taxonomy for Industrial Cluster Decarbonization: An Analysis for the Italian Hard-to-Abate Industry
title_short Taxonomy for Industrial Cluster Decarbonization: An Analysis for the Italian Hard-to-Abate Industry
title_sort taxonomy for industrial cluster decarbonization an analysis for the italian hard to abate industry
topic industrial clusters
decarbonization
hard-to-abate sector
spatial analysis
industrial area
database
url https://www.mdpi.com/1996-1073/15/22/8586
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