GX & Decarbonization Research

Dimitriadis D, Papana A, Katrakilidis C

This study examines carbon intensity convergence across European NUTS-2 regions using panel data from 2000-2024 and spatial econometric models. It finds significant conditional beta-convergence, persistent spatial dependence, and slower adj…

Ho-Tran L, Pfenninger-Lee S

This study provides a global classification of renewable energy zones, analogous to Koppen-Geiger climate zones, to identify deployment constraints and opportunities for wind-solar-only systems. It finds that land with abundant and temporal…

Zhu, Ziwei, Clements, Hayley, Zhang, Xiaoling

This study quantifies the impact of energy-transition mineral mining on biodiversity, measured as species abundance loss. It decomposes effects into direct conversion, disturbance, and fragmentation, and projects future mining pressure unde…

Springer, Martin, Brown, Matthew, Ovaitt, Silvana +4

PVDeg is an open-source Python package developed at NREL for modeling photovoltaic (PV) module degradation. It simulates degradation mechanisms like LeTID and hydrolysis using weather data, integrating Monte Carlo uncertainty propagation an…

Dzikowski, Ryszard

This white paper proposes a standardized energy-logistics architecture using molecular energy carriers to address renewable curtailment and grid congestion. It argues that existing technologies can be integrated through standardized interfa…

Yao, Huaying

This replication package audits corporate climate-target claims against mandatory verified emissions from the EU Transaction Log and US EPA GHGRP. Using only public data, it parses 1,779 claims into six adjudication tiers and documents sens…

Dubey, Yash, Sievert, Katrin, Schmidt, Tobias

This dataset supports research evaluating the cost-effectiveness of synthetic fuels and CO2 removal for achieving net-zero aviation. It provides foundational data for comparing economic options in aviation decarbonization.

Ziluo Fu, Wei Shen

This paper analyzes the IMO Net-Zero Framework (NZF) through a two-level game lens, explaining why approval for circulation in April 2025 did not lead to timely adoption. It identifies domestic, regional, and sectoral constraints—such as EU…

Carles Vergara-Alert, Alex Melendez-Ramos

This study exploits the June 2022 methodology revision for non-domestic EPCs in England and Wales as a natural experiment, showing that grid decarbonisation can improve carbon-weighted ratings without building improvements. 80.5% of reasses…

Samuel Stephenson, Jonathan Cullen, Andre Cabrera Serrenho

Coupling GCAM with a stock-flow model, this study estimates demand for six critical minerals across five SSPs. Paris-aligned futures raise demand 150-250% above baseline by 2050, while sustainability pathways cut it 24-37%. Inequality and f…

Kosi U.

This paper investigates the readiness of firms for the EU's Corporate Sustainability Reporting Directive (CSRD). It analyzes the complexity of disclosure requirements and data collection challenges, assessing the degree of corporate prepare…

Yating Zhang, Dustin T. Cook, S. Sattar +3

This paper proposes a hybrid method combining unit process analysis and economic input-output analysis to quantify embodied carbon emissions from post-earthquake building repair and functional loss. It accounts for repair materials, transpo…

Sohidul Islam, Reday Chandra Bhowmik, H. G. Sulimany +3

Using quantile-on-quantile regression on G7 data (1995-2023), this study finds green finance consistently reduces ecological footprint, while green innovation and recycling show positive effects in most quantiles, and energy transition has …

Annisa Fithria, R. Ainy, Andreas Vernando +2

Using panel data of 576 banks across 62 countries from 2009-2023, this study finds that IFRS adoption is positively associated with ESG disclosure, especially for environmental and social components. Major events like the Paris Agreement an…

Tong Ni, Wanlong Huang, Yifei Tang +2

This paper addresses low liquidity and fiscal policy mismatches in Green Electricity Certificate (GEC) markets by developing a supply-demand model integrating tax credits and tiered carbon taxes. Using an ε-constraint multi-objective optimi…

Yutong Shen, Wang Yang, Yue Shen

CogDeBias is a multilingual framework integrating LLMs and ML to automatically detect and mitigate six cognitive biases (e.g., confirmation bias, sunk cost fallacy) in corporate annual reports. A bilingual corpus of 1,200 reports (600 Engli…

Elisa Di Febo, Eliana Angelini

This paper proposes a macro-level Climate Resilience Score (CRS) for integrating climate vulnerability into bank credit risk assessment. It combines physical risk, energy efficiency, emission intensity, and circular economy indicators using…

Massoud Amin

Analyzing the 2022 European energy crisis, this chapter explores the energy transition's complexities, focusing on the 'energy trilemma' of security, sustainability, and affordability. It reviews renewable and emerging technologies and prop…

Mehreen Gul, David Jenkins, Dulini Fernando +4

This paper presents an interdisciplinary study to advance biochar use in buildings for decarbonization. Integrating social science, civil engineering, and building modeling, it evaluates biochar-cementitious composites and their energy/carb…

Mona Moussawel, Jessica Few, Valentin Moreau +5

This study compares residential electricity demand patterns using high-resolution smart meter data from Great Britain and France. Analyzing load curves by building type and heating technology, it reveals how cultural habits, heating systems…