GX & Decarbonization Research

Sahar Foorginezhad, Elena Wikberg, Fredrik Weiland +1

This study evaluates deep eutectic solvent (DES)-based slurries for CO2 capture under industrial conditions, including high pressure and gas mixtures. Tests with real flue gas from biomass combustion at an industrial site showed stable perf…

Gaurav Kattel, Samir Shrestha, Jiwoo Shin +2

This paper assesses the net abatement performance of U.S. carbon capture deployment by accounting for supply chain emissions using an environmentally extended input-output (EEIO) analysis. It reveals the hidden indirect emissions that may o…

Kian Hoong Chai, Loong Kong Leong, Thomas Chung-Kuang Yang +4

This study proposes a mild activation strategy to improve the slow sorption kinetics of MgO-based CO2 sorbents for post-combustion capture from low-CO2 flue gas. Activation at 240°C for 0.5 h doubled the peak sorption rate and increased CO2…

Feng Wang, Yang Sun, Pengyue Wang +5

This paper predicts the carbon reduction capacity of coal-fired power plants when used as discharging units for medium-/low-temperature Carnot batteries, using an exergy-based approach. It quantitatively evaluates the decarbonization potent…

Jinpeng Dai, Fanghui Lu, Riccardo Maddalena +2

This study uses CPO-XGBoost machine learning to predict compressive strength of limestone calcined clay cement (LC3) and optimize low-carbon mix designs. LC3 reduces CO2 emissions in cement production, contributing to construction decarboni…

Zeqi Zhang, Yingjie Li, Danhui Lai +2

This paper proposes a low-carbon operational decision-making method for computing-energy parks using large language models (LLMs) and multi-agent collaboration. A dynamic carbon emission factor (DCEF) captures time-varying carbon signals, a…

Fang Wang, Meini Lin, Jiping Jiang +6

This paper revisits rule-based external carbon dosing in wastewater treatment plants (WWTPs) to enable low-cost digital transformation for decarbonization. It targets full-scale implementation, improving energy efficiency and reducing carbo…

Shuanglin Song, Shuangqi Song, Jian Guo

This paper uses evolutionary game theory to analyze how administrative regulations and market-based policies (e.g., carbon pricing) affect corporate low-carbon transformation. It theoretically demonstrates the impact of policy combinations …

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…