GX & Decarbonization Research

Wolf DD, Westeinde MV, Qu C

This study evaluates battery electric buses (BEBs) versus hydrogen fuel cell buses (FCEBs) for Brussels' STIB transit agency using LCA, TCO, expert interviews, and multi-criteria analysis. FCEBs show lower emissions under renewable hydrogen…

Corre S, Magnaval G, Boztas O +2

This study evaluates PET management in Switzerland using LCA and TEA, comparing six end-of-life technologies and optimizing waste allocation. Recycling pathways (mechanical and depolymerization) achieve the greatest climate impact reduction…

Hu G, Wang T, Gu Y +1

This study quantifies the capacity limits of coal gangue utilization in China using GCAM, finding that building material use is capped at 100 Mt/yr. Diversifying into power generation, alumina extraction, and backfill recovers significant t…

Zhang Y, Zeng H, Liu Q +3

This paper proposes a novel process to convert CO2 into graphite using active metal liquids like liquid magnesium, with metal recycling via metallurgy, achieving zero waste discharge. The produced graphite is a valuable material, ensuring e…

Kollia M

This Perspective proposes the ZERO framework to shift AI data-centre sustainability evaluation upstream, before resource consumption. It combines hard admissibility constraints, workload characterisation, local resource-state assessment, fe…

Zhang Q, Sheng S, Liu T

A two-stage lexicographic framework for geo-distributed AI inference that preserves service while optimizing carbon and water. Trace-driven analysis of 26,392 requests reveals a 21-point carbon-water frontier, quantifying trade-offs. Provid…

Longfor NR, Istrate R, A JJ +1

This study models landfill methane emissions across 44 sub-Saharan African countries (2000-2100) and audits waste-sector NDC commitments. Cumulative emissions equal 1.1-4.5% of the remaining 1.5°C carbon budget, yet only 5 countries have ex…

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…

Zein, Sharif H.

This dataset accompanies a manuscript on nanomaterials for the hydrogen economy, providing technology readiness level (TRL) assignments for 22 nanomaterial classes, along with comparative performance data for hydrogen production catalysts a…

Dominiak, Adam, Rusowicz, Artur

This replication package provides Python scripts and data to reproduce the techno-economic assessment of cement CCS projects in Poland and Bulgaria. It includes parametric, cost, dynamic, marginal breakeven, Monte Carlo, and Shapley decompo…

Halai, Oleksandr, Neilenko, Sergii, Zemlina, Yuliia +2

This study examines how digital technologies (AI, IoT, big data, blockchain) drive sustainable innovation in organizations through a systematic review of peer-reviewed literature from 2010 to 2025 and thematic analysis. It identifies four p…

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…

Johnson, Jewel, C S, Krishnapriya, D T, Raniya +2

This paper proposes a conceptual design of an AI-assisted Phase Change Material (PCM) thermal panel for buildings. The system integrates encapsulated PCMs with sensors and AI control to stabilize indoor temperatures, reducing reliance on HV…

Sneha Burnwal, Yash Shashwat, Somnath Maity +3

This study presents a low-cost IoT-based solar PV monitoring system using an ESP32 microcontroller and sensors. It measures voltage, current, power, and energy in real-time, transmits data to the cloud for visualization, and uses threshold-…

Kolegowicz, Konrad, Kaczmarek, Jarosław, Náñez Alonso, Sergio Luis

This package provides data and code for a study on convergence and diversification of electricity-generation structures in the EU-27 from 1990 to 2024, using Eurostat data. It offers empirical evidence on energy transition dynamics.

C D, VISMAYA, V P, ANAMIKA, JURIYA, FATHIMA +2

Proposes an AI-based framework integrating IoT, cloud, and Random Forest Regression to monitor data center operations, predict heat generation, and recommend optimal heat recovery applications. Aims to improve energy efficiency, reduce cool…

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…