GX & Decarbonization Research

Tong Qian, Yang Liu, Yunlin Huang +2

This review examines how AI enables electricity–computing synergy to address data center energy demands and renewable energy variability. It highlights deep learning for renewable forecasting and deep reinforcement learning for flexible wor…

Wenqiang Guo, Yusheng Shi, Yongliang Yang +3

This paper analyzes the spatiotemporal evolution and drivers of China's energy-related methane emissions, highlighting reduction potentials and challenges for achieving carbon neutrality. It contributes to policy recommendations by consider…

Duan Lu, Xiaoming Liu, Feixiang Zan +5

This study analyzes spatiotemporal patterns of greenhouse gas emissions from China's waste management sector and proposes pathways to carbon neutrality. It identifies regional and temporal emission characteristics, offering insights for pri…

Ewelina Sokołowska, Magdalena Olczyk

This book frames the green transition as a systemic process shaped by institutional capacity, political economy, and financial architecture, beyond technology and carbon pricing. It analyzes policy mixes, indicators, de-risking, market-maki…

Bartlomiej Arendarczyk, Ankita Saxena, Almut Arneth +2

Climate mitigation scenarios often rely on bioenergy, but agrivoltaics can generate electricity with higher land use efficiency. Modeling shows replacing bioenergy with agrivoltaics requires 30 times less land, preserving 106 Mha of natural…

E.M. Ruiz-Navas, Ignacio Báscones Velasco, Íñigo Muñoz Gutiérrez

This paper reviews the evolution of critical raw materials (CRM) frameworks from the 1939 US Strategic and Critical Materials Stock Piling Act to the present, comparing EU and US methodologies. It analyzes the 2023 EU list in detail, includ…

Olatunde Ibiyinka, Tolu Omotoso, Ndubuisi Ekekwe

This review systematically examines AI-driven forecasting techniques for integrating renewable energy into power grids. It covers machine learning, deep learning, reinforcement learning, and hybrid models applied to generation, demand, stor…

Jose Barrales-Ruiz, Pablo Neudörfer

This study analyzes the impact of green patents on the relative equity valuations of brown and green energy companies using US-listed energy ETFs from 2005 to 2020. It finds that after the Paris Agreement, increases in the economic value of…

Carlos Mantilla, Chiara Bustreo, Francesco Gracceva +11

Fusion could provide firm carbon-free power, but commercialization is uncertain. Using the EUROfusion TIMES model, this study finds that a 21% share of global electricity by 2100 requires commercialization by 2040, fast capacity doubling, s…

J. Elliott Campbell, Roland Geyer

This study evaluates the life-cycle emissions trade-off of retiring functional ICE vehicles early for BEV replacement. It finds consistent emissions reductions across most scenarios, including new ICE vehicles, highlighting the mitigation p…

Hasan Tutar, Dilek Baykal

Reanalyzing EU27 data from 1990-2022, this study shows that aggregate decoupling masks a reallocation of emission burdens across sectors. New indicators reveal a shift toward harder-to-abate sectors like transport, residential, and agricult…

Jose Barrales-Ruiz, Pablo Neudörfer

This study analyzes how the economic value of green patents affects relative equity valuations of fossil-fuel (brown) and renewable (green) energy companies in the US from 2005 to 2020. Using local projections, it finds that increases in hi…

Hou J, Zhang P, Lei Y +4

This paper addresses day-ahead scheduling of integrated energy systems (IES) under supply-demand uncertainty, proposing a bi-level quantity-quality coordinated optimization method. It develops a unified energy-carbon-exergy flow model to ch…

Wolowieс T, Pavlova O, Liashenko O +6

This paper identifies the causal effect of EU ETS carbon prices on electricity generation using a panel of 27 member states and differential exposure based on pre-ETS coal shares. It finds that higher carbon prices significantly reduce coal…

Lanzini, Andrea, Minuto, Francesco Demetrio, Stolte, Marcel +1

This open-source dataset systematically organizes techno-economic parameters, project examples, technology-application mappings, and references for short- and long-duration energy storage technologies and their grid services. Covering Li-io…

Alanazi, Majed, Hughes, Kevin J., Pourkashanian, Mohamed

This dataset supports verification, multi-dataset validation, and uncertainty quantification of a 1D PEM electrolysis model for gigawatt-scale green hydrogen design. It includes COMSOL polarization exports, digitized experimental points fro…

Shang, Wen-Long, cheng, haibo

This study develops a peak-minimization model integrating bidirectional EV charging (V2G) with distributed solar (rooftop and vehicle-integrated PV). Using UK smart-meter data and the IEEE European test feeder, it shows V2G alone cuts peak …

Yanxun Gu, Kun Yang, Jian Cao +1

This review critiques the limitations of national-average grid carbon emission factors (CEFs) that ignore spatial and temporal heterogeneity, and evaluates the emerging paradigm of grid hierarchical and zonal division. It proposes an integr…

Andersen P.B.

This project conducted cross-brand service testing using V2G (Vehicle-to-Grid) technology, connecting electric vehicles to the power grid for demand response and renewable energy integration. It aims to validate the practicality and interop…

Guo Q.

Using China's carbon emissions trading scheme (ETS) as a quasi-natural experiment, this study empirically examines the impact of carbon finance on corporate emissions reduction. It suggests that the interaction between policy and finance en…