Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Assessing the Pace of Decarbonization in EU Countries Using Multi-Criteria Decision Analysis

View through CrossRef
Greenhouse gas emissions from the energy sector are the main driver of global warming, which has led to an increase in the average surface temperature of the Earth by more than 1 °C above pre-industrial levels. Responding to the urgent need for energy transition, the countries of the European Union have set themselves the goal of achieving climate neutrality by 2050. The main objective of this article is to comprehensively assess the progress of decarbonization in the 27 European Union countries between 2004 and 2024, using an advanced multi-criteria model. The study used the quantitative Analytical Hierarchy Process (AHP) method to construct a multidimensional decision-making model. Eight energy technologies were evaluated through the prism of 13 criteria grouped into three pillars of sustainable development: economic (including technical), environmental, and social. Based on the weights of each criterion, estimated by a group of experts, a synthetic decarbonization index (DI) was calculated for each technology. In the next stage, a cumulative decarbonization index (CDI) was formulated for each country, reflecting the structure of its energy mix. The analysis revealed a fundamental divergence between conventional and zero-emission technologies. Renewable sources and nuclear energy have the highest positive impact on decarbonization (highest DI): hydropower (27.5), nuclear (20.7), wind (20.3). The lowest, unfavorable values of the index are characteristic of fossil fuels: oil (3.6), coal (3.9), and gas (4.8). The average cumulative decarbonization index (CDI) for the EU-27 rose from 14.0 in 2004 to 26.4 in 2024, demonstrating the effectiveness of the EU’s common policy. The leaders of the transition are countries with diversified, green mixes, such as Luxembourg (CDI = 40.4), Lithuania (CDI = 39.6), Portugal (38.5), Austria (36.9), and Spain (33.6). Despite starting from the lowest level in 2004 (CDI = 5.2), Poland recorded one of the most dynamic increases in 2024 (CDI = 17.7), mainly due to a reduction in the share of coal from 93% to 53.5%. The analysis confirms the effectiveness of the EU’s common climate and energy policy and demonstrates the usefulness of the methodology presented for a comprehensive assessment of the decarbonization process. The results indicate the need to further increase the share of zero-emission energy sources in the energy mix in order to achieve the objectives of the European Green Deal. The varying pace of transformation among Member States requires an individualized approach and support for countries with a historical dependence on fossil fuels.
Title: Assessing the Pace of Decarbonization in EU Countries Using Multi-Criteria Decision Analysis
Description:
Greenhouse gas emissions from the energy sector are the main driver of global warming, which has led to an increase in the average surface temperature of the Earth by more than 1 °C above pre-industrial levels.
Responding to the urgent need for energy transition, the countries of the European Union have set themselves the goal of achieving climate neutrality by 2050.
The main objective of this article is to comprehensively assess the progress of decarbonization in the 27 European Union countries between 2004 and 2024, using an advanced multi-criteria model.
The study used the quantitative Analytical Hierarchy Process (AHP) method to construct a multidimensional decision-making model.
Eight energy technologies were evaluated through the prism of 13 criteria grouped into three pillars of sustainable development: economic (including technical), environmental, and social.
Based on the weights of each criterion, estimated by a group of experts, a synthetic decarbonization index (DI) was calculated for each technology.
In the next stage, a cumulative decarbonization index (CDI) was formulated for each country, reflecting the structure of its energy mix.
The analysis revealed a fundamental divergence between conventional and zero-emission technologies.
Renewable sources and nuclear energy have the highest positive impact on decarbonization (highest DI): hydropower (27.
5), nuclear (20.
7), wind (20.
3).
The lowest, unfavorable values of the index are characteristic of fossil fuels: oil (3.
6), coal (3.
9), and gas (4.
8).
The average cumulative decarbonization index (CDI) for the EU-27 rose from 14.
0 in 2004 to 26.
4 in 2024, demonstrating the effectiveness of the EU’s common policy.
The leaders of the transition are countries with diversified, green mixes, such as Luxembourg (CDI = 40.
4), Lithuania (CDI = 39.
6), Portugal (38.
5), Austria (36.
9), and Spain (33.
6).
Despite starting from the lowest level in 2004 (CDI = 5.
2), Poland recorded one of the most dynamic increases in 2024 (CDI = 17.
7), mainly due to a reduction in the share of coal from 93% to 53.
5%.
The analysis confirms the effectiveness of the EU’s common climate and energy policy and demonstrates the usefulness of the methodology presented for a comprehensive assessment of the decarbonization process.
The results indicate the need to further increase the share of zero-emission energy sources in the energy mix in order to achieve the objectives of the European Green Deal.
The varying pace of transformation among Member States requires an individualized approach and support for countries with a historical dependence on fossil fuels.

Related Results

A Better Mobilization Regimen for Newly Diagnosed Multiple Myeloma Patients,
A Better Mobilization Regimen for Newly Diagnosed Multiple Myeloma Patients,
Abstract Abstract 4051 Introduction: What constitutes an acceptable mobilization regimen for collecting CD34+ cel...
Autonomy on Trial
Autonomy on Trial
Photo by CHUTTERSNAP on Unsplash Abstract This paper critically examines how US bioethics and health law conceptualize patient autonomy, contrasting the rights-based, individualist...
Non-Recommended Publishing Lists: Strategies for Detecting Deceitful Journals
Non-Recommended Publishing Lists: Strategies for Detecting Deceitful Journals
Abstract The rapid growth of open access publishing (OAP) has significantly improved the accessibility and dissemination of scientific knowledge. However, this expansion has also c...
NASA’s hyperspectral PACE mission: New potential for monitoring biodiversity from space
NASA’s hyperspectral PACE mission: New potential for monitoring biodiversity from space
Launched in February 2024 and serving data to the public as of April 2024, the NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite provides a novel set of daily, hypers...
Technology indicators enable early detection of decarbonization failures
Technology indicators enable early detection of decarbonization failures
Assessing decarbonization progress traditionally relies solely on tracking carbon emissions. Focusing on carbon emissions alone struggles to capture the complex uncertainties that ...
Decarbonization in Carbon-Intensive Industries - Frameworks for Enhanced Early-Stage Identification of Optimal Decarbonization Pathways
Decarbonization in Carbon-Intensive Industries - Frameworks for Enhanced Early-Stage Identification of Optimal Decarbonization Pathways
Carbon-intensive industries account for a quarter of global annual CO2 emissions. Achieving mandated climate targets requires rapid deployment of decarbonization technologies in th...
From Utility Bills to Retrofit Finance: An AI Framework for Energy-Burden-Aware Underwriting in Residential Decarbonization
From Utility Bills to Retrofit Finance: An AI Framework for Energy-Burden-Aware Underwriting in Residential Decarbonization
This study develops a literature-driven conceptual framework for energy-burden-aware underwriting within the context of U.S. residential decarbonization finance. It addresses a cri...

Back to Top