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Publications

Conferences

Participation of the IAM COMPACT consortium in international scientific conferences, presenting project work.
Date
November 2024
Authors
Jyoti Maheshwari
Debasish Prusty
Amit Garg


Date
November 2024
Authors
Panagiotis Fragkos
Lukas Hermwille
Kostas Fragkiadakis
Dimitris Fragkiadakis
Maria-Iro Baka



Date
November 2024
Authors
Nicole van den Berg
Nikos Kleanthis
Dimitris Fotopoulos
Vassilis Stavrakas
Detlef P. van Vuuren
Synergies



Date
November 2024
Authors
Vassilis Stavrakas
Nikos Kleanthis
Dimitris Papantonis
Alexandros Flamos
Synergies



Date
November 2024
Authors
Nikos Kleanthis
Vassilis Stavrakas
Nicole van den Berg
Dimitris Fotopoulos
BinBin Pearce
Detlef P. van Vuuren
Alexandros Flamos
Synergies



Date
November 2024
Authors
Claire Boespflug
Francesco Gardumi
Pegah Atarian
Alexandros Nikas


Date
November 2024
Authors
Alaa Al Khourdajie
Shivika Mittal
Ajay Gambhir
Dirk-Jan Van de Ven
Panagiotis Fragkos
Alexandros Nikas
Glen P Peters
Natasha Frilingou
David McCollum
Eleftheria Zisarou
Lorenzo Rinaldi
Jaime Nieto Vega
Adam Hawkes


Date
May 2024
Authors
Conall Heussaff
Natasha Frilingou
Adrian Lauer
Ugne Keliauskaite
Georg Zachmann
Panagiotis Fragkos
Eleftheria Zisarou
Dirk-Jan van de Ven
Russell Horowitz
Xaquín García-Murosa
Rasmus M. Johannsen
Jakob Z. Thellufsen
Georg Holtz
Alexander Jülich
Shivika Mittal
Glen P. Peters
Jan Ivar Korsbakken
Alaa Al Khourdajie
Sara Giarola
Adam Hawkes
Jaime Nieto
Mohamed Lifi
Gonzalo Parrado Hernando
Clàudia Rodés Bachs
Konstantinos Koasidis
Vassilis Stavrakas
Nikos Kleanthis
Alexandros Flamos
Charalampos Platias
Lorenzo Rinaldi
Matteo V. Rocco
Ilkka Keppo
Alexandros Nikas


Date
November 2024
Authors
Lahiru Jayasuriya
Francesco Gardumi
Natasha Frilingou
Alexandros Nikas


Date
November 2024
Authors
Dirk-Jan Van de Ven
Jon Sampedro
Clàudia Rodés Bachs
Theo Rouhette
Russell Horowitz
Konstantinos Koasidis
Natasha Frilingou
Alexandros Nikas
Synergies



Date
November 2024
Authors
Konstantinos Koasidis
Natasha Frilingou
Dirk-Jan Van de Ven
George Xexakis
Jon Sampedro
Clàudia Rodés Bachs
Theo Rouhette
Russell Horowitz
Christos Petkidis
Charalambos Platias
Alexandros Nikas
Synergies



Date
November 2024
Authors
Natasha Frilingou
Dirk-Jan van de Ven
Shivika Mittal
Konstantinos Koasidis
Charalampros Platias
Haris Doukas
Alexandros Nikas
Synergies



Date
April 2024
Authors
Eva Alonso-Epelde
Clàudia Rodés
María Moyano-Reina
Description

Addressing the major challenges of the 21st century, such as climate change, will require complex and ambitious policies that promote social justice. To do so, it is necessary to design efficient policies that do not exacerbate existing inequalities, such as gender or income inequality. In this sense, it is essential to carry out impact analyses of policies from a holistic perspective that evaluates the economy, energy, land, and water systems in an integrated manner before implementing them. While Integrated Assessment Models (IAMs) have been a fundamental tool in the past, micro-simulation models for distributional analysis have the advantage of providing more heterogeneous results that help to more robustly identify the socio-economic impacts of the policies to be implemented. These analyses make it possible to identify the people who will be most affected by policies and to implement compensatory measures to make the policy fairer. Thus, the combination of both models (IAMs and microsimulation models) can provide valuable results for decision making.  MEDUSA is an R package that allows the development of distributional analyses in isolation or in connection with other models such as GCAM. Its extensive database allows for highly disaggregated results, taking into account numerous socio-economic and demographic characteristics of households, such as income level, place of residence, type of family or the degree of feminisation of the household. At the moment, the prototype works for Spain, but the idea is to extend it to all EU countries in the short term. However, the package could be extended to all countries that are able to provide the raw data of the model.

 



Date
April 2024
Authors
Dirk-Jan Van de Ven
Jon Sampedro
Description

Climate change is often seen as an equity problem, as it is caused primarily by richer countries and households, while its impacts are generally expected to affect poorer countries and households significantly stronger. Climate policy aiming at mitigating these impacts, however, can also have a regressive impact on societies, unless it is designed such that the costs of mitigation are shared progressively depending on wealth differences. At the same time, historical energy transitions have often been driven by wealthy consumers demanding higher quality goods and services, which consequently grew from niche to mainstream technologies. Particularly the transportation sector is a sector difficult to decarbonise, while there are significant differences in contribution between poorer and wealthier users. This study uses a global integrated assessment model (GCAM) with 10 different income groups for each of the 32 regions to compare several decarbonisation scenarios for passenger transportation. On the one hand, implementing a general cap-and-trade policy for transport emissions, while traditionally seen as the economically optimal policy, affects poorer individuals significantly more in terms of access to transport services in a decarbonised world. On the other hand, implementing fixed caps for each country and income group, which cannot be traded with consumers at lower other income groups or countries, and are globally equal for each individual, leads to significantly higher costs for higher income individuals, but does not affect the access to transport services of poorer individuals as strongly. Also, this last alternative leads to a significantly faster take-up of modern clean technologies in transport.

Synergies



Date
April 2024
Authors
Natasha Frilingou
Dirk-Jan van de Ven
Shivika Mittal
Anastasios Karamaneas
Thomas Nikolakakis
Francesco Gardumi
Konstantinos Koasidis
Alexandros Nikas
Description

Decarbonisation of the energy sector is a critical task in the efforts to mitigate climate change. As sectoral emissions cuts in modelled pathways aligned with the Paris Agreement are projected to come from at-scale diffusion of emerging or new technologies as well as further development of existing solutions, energy-sector decarbonisation entails major investments in low-carbon technologies. At the same time, a significant chunk of these investments must be made in emerging and developing economies, which currently receive just one-fifth of global energy investments. This underinvestment is, at least partly, due to the large disparities in financing conditions and higher-risk profiles in said countries. Models used to assess decarbonisation pathways typically assume a uniform cost of capital; such assumption, however, does not do justice to real-world conditions and may therefore lead to inaccurate policy recommendations. Moreover, there is considerable uncertainty over how these costs may evolve in the future. In this study, we apply an empirical dataset of estimated cost of capital differentiated by technology and country and explore stakeholder-driven pathways of (de-)risking investments in clean energy vs. fossil-fuel technologies, using an ensemble of two global integrated assessment models and one electricity-system model. Furthermore, we attempt to incorporate a corrective justice dimension in our narratives by assessing the impacts of risk underwriting for low-carbon investments through taxing corporate windfall profits for 2022 and distributing the revenue as subsidies towards high-risk regions.

 



Date
April 2024
Authors
Xaquín García-Muros
Eva Alonso-Epelde
Mikel González-Eguino
Alejandro Rodríguez-Zúñiga
Description

The success of the targets established in the European Green Deal depends on the correct design of ambitious policies that utilize all available instruments, including energy and environmental taxation. In the “Fit for 55” package, the EC proposed a deep reform of the Energy Taxation Directive (New ETD) to update the current taxation and align it with current environmental goals. However, due to the war in Ukraine, the energy crisis, and the risk of regressive effects the current proposal of the EC is stalled. Therefore, this analysis seeks to provide new evidence from a microsimulation model developed to assess the direct, overnight distributional impacts of the proposed new ETD reform on households. Our aim is to explore whether the proposed EU-level polluter pays instruments can be designed to achieve progressive distributional impacts, to identify policy options that ensure they strengthen social justice without undermining it, and thereby remove social barriers. Moreover, we explore a dimension often underrepresented in distributional analyses, namely gender. Our results indicate that, with the correct design from the outset, environmental tax reforms can be progressive and not increase current inequalities between and within Member States of the EU, including those related to gender.

 



Date
April 2024
Authors
Alaa Al Khourdajie
Jim Skea
Richard Green
Description

We attribute variations in key energy sector indicators across global climate mitigation scenarios to climate ambition, assumptions in background socioeconomic scenarios, differences between models and an unattributed portion that depends on the interaction between these. The scenarios assessed have been generated by Integrated Assessment Models (IAMs) as part of a model intercomparison project exploring the Shared Socio-economic Pathways (SSPs) used by the climate science community. Climate ambition plays the most significant role in explaining many energy-related indicators, particularly those relevant to overall energy supply, the use of fossil fuels, final energy carriers and emissions. The role of socioeconomic background scenarios is more prominent for indicators influenced by population and GDP growth, such as those relating to final energy demand and nuclear energy. Variations across some indicators, including hydro, solar and wind generation, are largely attributable to inter-model differences. Our Shapley-Owen decomposition gives an unexplained residual not due to the average effects of the other factors, highlighting some (such as the use of carbon capture and storage (CCS) for fossil fuels, or adopting hydrogen as an energy carrier) with outlier results for particular ambition-scenario-model combinations. This suggests guidance to policymakers on these indicators is the least robust.



Date
November 2023
Authors
Baptiste Boitier
Alexandros Nikas
Ajay Gambhir
Konstantinos Koasidis
Alessia Elia
Khaled Al-Dabbas
Sirin Alibaş
Lorenza Campagnolo
Alessandro Chiodi
Elisa Delpiazzo
Haris Doukas
Arnaud Fougeyrollas
Maurizio Gargiulo
Pierre Le Mouël
Felix Neuner
Sigit Perdana
Dirk-Jan Van de Ven
Marc Vielle
Paul Zagamé
Shivika Mittal
Synergies



Date
November 2023
Authors
Alexandros Nikas
Natasha Frilingou
Connal Heussaff
Panagiotis Fragkos
Shivika Mittal
Jon Sampedro
Sara Giarola
Jan-Philipp Sasse
Lorenzo Rinaldi
Haris Doukas
Ajay Gambhir
Anastasis Giannousakis
Nicolò Golinucci
Konstantinos Koasidis
Matteo Vincenzo Rocco
Evelina Trutnevyte
Georgios Xexakis
Georg Zachmann
Matthew Binsted
Gokul Iyer
Brinda Yarlagadda
Dirk-Jan Van de Ven
Synergies



Date
November 2023
Authors
Jakob Wachsmuth
Philine Warnke
Ajay Gambhir
Sara Giarola
Konstantinos Koasidis
Shivika Mittal
Alexandros Nikas
Kathleen Vaillancourt
Haris Doukas


Date
October 2023
Authors
Baptiste Boitier
Alexandros Nikas
Ajay Gambhir
Konstantinos Koasidis
Alessia Elia
Khaled Al-Dabbas
Şirin Alibaş
Lorenza Campagnolo
Alessandro Chiodi
Elisa Delpiazzo
Haris Doukas
Arnaud Fougeyrollas
Maurizio Gargiulo
Pierre Le Mouël
Felix Neuner
Sigit Perdana
Dirk-Jan Van de Ven
Marc Vielle
Paul Zagamé
Shivika Mittal
Synergies



Date
October 2023
Authors
Natasha Frilingou
Connal Heussaff
Panagiotis Fragkos
Shivika Mittal
Jon Sampedro
Sara Giarola
Jan-Philipp Sasse
Lorenzo Rinaldi
Haris Doukas
Ajay Gambhir
Anastasis Giannousakis
Nicolò Golinucci
Konstantinos Koasidis
Matteo Vincenzo Rocco
Evelina Trutnevyte
Georgios Xexakis
Georg Zachmann
Matthew Binsted
Gokul Iyer
Brinda Yarlagadda
Dirk-Jan Van de Ven
Alexandros Nikas
Synergies



Date
November 2023
Authors
Russell Horowitz


Date
November 2023
Authors
Clàudia Rodés-Bachs


Date
November 2023
Authors
Jon Sampedro


Date
June 2023
Authors
Clàudia Rodés-Bachs
Jon Sampedro
Dirk-Jan Van der Ven
Ryna Yiyun Cui
Alicia Zhao
Matthew Zwerling


Date
June 2023
Authors
Jon Sampedro
Stephanie Waldhoff
Jae Edmonds
Gokul Iyer
Siwa Msangi
Kanishka Narayan
Pralit Patel
Marshall Wise


Date
June 2023
Authors
Dirk-Jan van de Ven
Russell Horowitz
Jon Sampedro
Synergies


Tags
Synergies

Date
November 2022
Authors
Dirk-Jan van de Ven
Panagiotis Fragkos
Faidra Filippidou
Lukas Hermwille
Wolfgang Obergassel
Leon Clarke
Ajay Gambhir
Mikel Gonzalez-Eguino
Shivika Mittal
Alexandros Nikas
Glen P. Peters
Ida Sognnaes
Synergies


Tags
Synergies