GX & Decarbonization Research

Elliot Romano, Alfredo Ernesto Oneto, Yael Frischholz +1

Modeling 719 Swiss Alpine municipalities, this study shows that local energy communities co-investing in grid infrastructure can increase renewable capacity by up to 50% and achieve the highest CO2 savings, while yielding net welfare gains.

Clara Andrada-Monrós, Elisa Peñalvo-López, Iván Valencia-Salazar +1

This paper presents a methodological framework for evaluating municipal energy transitions, focusing on the techno-energy pillar. It integrates diagnostic indicators, efficiency improvements, and renewable potential to quantify current ener…

Elias Skodras

This paper proposes Transport Energy Infrastructure (TEI) as a distinct infrastructure category for Europe's evolving transport and energy systems. It argues that the central constraint of the energy transition is shifting from generation t…

Isaac Akomea-Frimpong, Alexander Baah Amoakwa, Comfort Owusu Kedjah +2

This study explores critical success factors for climate finance in sustainable infrastructure projects. Using fuzzy synthetic analysis of survey data from stakeholders across countries, it identifies financial resilience strategies, decarb…

Kire Stavrov, Strahinja Trpevski, Natasha Malijanska Andreevska

This study develops an integrated methodology combining LiDAR data, GIS analysis, and dynamic solar simulation to assess solar energy potential in the built environment. It finds that roof geometry, orientation, and climate strongly influen…

Franco A

This paper proposes an integrated framework for transforming ports into energy hubs, integrating renewable generation, storage, green hydrogen, microgrids, and intelligent management. Using data-driven analysis and optimization, it supports…

Sharif M, Seker H

This paper proposes Agentic CAMA-DRL, a context-aware multi-agent deep reinforcement learning framework for optimizing charging infrastructure of last-mile delivery e-bikes. Four stakeholder agents coordinate via DQNs conditioned on real-ti…

Vrcelj Z, Sandanayake MS

This paper addresses the gap between AI technical performance and actual project decision changes in construction. Through a structured review of 34 studies, it proposes a Governed AI Project Controls Framework that separates data foundatio…

Toan PN, Hieu LTT, Nguyen NVT

This paper tests whether carbon pricing causes carbon leakage using crypto-mining, an electricity-intensive and footloose industry. Quantile regressions on daily data (2019-2026) show that in Russia, the interaction of Bitcoin returns and E…

Prina, Matteo Giacomo

This dataset provides normalized hourly wind power generation profiles for five European regions, generated using MERRA-2 and Renewables.ninja. It supports energy system modeling and regional planning.

Brown, Patrick, Carag, Vincent, Chen, Yunzhi +19

ReEDS is a capacity planning model for the power sector that simulates the evolution of generation and transmission from present to 2050 and beyond. It is used for scenario analysis of renewable deployment and grid expansion, supporting ene…

Marques Alves Aguiar, Gabriela

This replication package provides data and code for a fixed-effects panel analysis of OECD countries (2015-2023), examining whether stronger carbon-pricing signals are associated with lower per-capita GHG emissions. It offers reproducible e…

Bérard, Cedric

This snapshot demonstrates that NAM-classification-filtered portfolio allocation outperforms five naive baselines in expected avoided-loss NPV for climate adaptation of 725,462 substations across 39 OECD countries. At the reference cell, al…

Ashuraliyev, Abduxoliq

This dataset provides vessel-level dwell times, operational modes, and CARB-calibrated idling emissions for five major US ports from 2009-2025, derived from AIS data. It enables analysis of port congestion and its climate impact, validated …

Jianxun Zhao, Mingxuan Huang, Changqing Tian +1

This study optimizes GHG emissions in vegetable handling processes using Deep Deterministic Policy Gradient (DDPG). Sensitivity analysis identifies key parameters, and a Markov decision process model with multi-objective reward design minim…

Bao-Linh Tran, Yun-Ju Huang, Wei-Chun Tseng +1

Using panel data from 74 countries (2010-2022), this study compares the emission reduction effects of carbon tax (CT) and emissions trading (ETS). When using coverage-adjusted carbon prices, both are equally effective, but with nominal pric…

Shu Zhang, Wenying Chen

This study develops a probabilistic framework integrating bottom-up models of China's water-energy-food (WEF) systems with Monte Carlo simulations to assess the impacts of the net-zero energy transition. Exploring over 4,000 uncertainty cas…

Siavash Alimadadi, Jonatan Pinkse

This viewpoint introduces 'carbon subsumption,' where sustainability governance privileges carbon as the dominant metric, making biodiversity visible only when convertible to carbon. It identifies three mechanisms: assimilation, subordinati…

Adam R. Mason, Tom Bide, Rupert J. Myers +1

This study combines Bayesian material flow analysis and life cycle assessment to evaluate decarbonisation pathways for England's cement and concrete sector. It quantitatively reveals trade-offs between decarbonisation measures such as CCUS …

George Halkos, Panagiotis-Stavros Aslanidis

This review systematically synthesizes optimization, machine learning, and spatiotemporal analysis methods for decarbonizing energy systems. Analyzing 82 papers (2001-2024), it identifies four research strands: multiobjective optimization, …