GX & Decarbonization Research

Yang Yang, Yu Mao, Chao Sun +2

This paper systematically reviews aerogels for CO2 capture, covering classification, design strategies, and preparation methods such as supercritical, ambient pressure, and freeze drying. It analyzes applications in direct air capture, post…

Suyog Gupta

This chapter reviews the current state and development of Bioenergy with Carbon Capture and Storage (BECCS), highlighting its environmental and economic benefits. It analyzes challenges such as biomass supply chains, CCS costs, and policy f…

Yan-Fei Li, Cheng Li

Using panel data from 11 provinces in the Yangtze River Economic Belt (2012-2022), this study evaluates the coupling coordination between low-carbon transportation and new quality productive forces. Methods include entropy-weighted TOPSIS, …

Yuchen Zhao, Yanxi Li, Shuangyan He +2

This study proposes an efficient feature reconstruction mechanism to enhance the reliability of predicting properties of low-carbon cementitious materials under small-sample constraints. By integrating multi-system material data, it improve…

Zhaoyue Zhang, Shangguo Liu, Chaoyue Sun +5

This study develops a boron-doped carbon-coated nickel catalyst (Ni@BC) that overcomes sulfur poisoning for low-energy hydrogen production. Ni@BC optimizes sulfur adsorption, suppressing insulating sulfur accumulation, achieving over 1500 h…

Dan Qiu, Bangjun Wang

Using TOE-P framework with NCA and dynamic fsQCA on Chinese listed mining firms (2015-2025), this study identifies multiple configurational paths to high green and low-carbon performance. No single condition is necessary; synergy among tech…

Clóvis Melo, V. Leonardo Paucar, Raimundo Nonato Diniz Costa Filho

This study applies four deep learning architectures (KAN, LSTM, GRU, DFF) to solve hydrothermal scheduling in hybrid power systems with wind and pumped-storage hydropower, optimizing economic and emission objectives. Evaluated on a 10-gener…

FAYEZ WAZANI ABDUL WALID, THUKU HARRISON, GELMANOVA ZOYA SALIKHOVNA

This paper proposes an integrated model for Kenya's green transformation, centering on geothermal energy (45-47% of electricity) combined with solar, wind, storage, smart grids, green hydrogen, and low-carbon industry. It introduces the 'Ge…

ML Siriwardena, Abdul R. Nihmiya, Udara S.P.R. Arachchige

This study develops a hierarchical ternary carbon nanocomposite on stainless steel to reduce overpotential for hydrogen evolution in alkaline water electrolysis, offering potential for low-cost and efficient hydrogen production.

Daofeng Zhong, Chuanzhong Yin, Ying‐En Ge +2

This study proposes a multi-objective mixed-integer programming model to mitigate resource inefficiencies from homogeneous port competition and advance low-carbon hubport transportation networks. A hyper-heuristic algorithm with tabu-list a…

Bo Sun, Ye-Shun Zhang, Min-Min Teng

This study optimizes the clean and low-carbon transition path for Jiangsu's power industry (2025-2060) using a goal programming model that minimizes total electricity supply cost under dual constraints of pollution and carbon reduction. Acr…

Jani Lukkarinen, Erkki-Jussi Nylén, Saija Mokkila +1

This study maps 204 low-carbon experiments in Finland (1995-2025), analyzing experiment types, focus areas, and social justice considerations. Findings show dominance of socio-technical niche experiments focused on operational energy, with …

Muhammad Mehedi Masud, Rafia Afroz, Zaki Zaini +2

Using ASEAN panel data from 2000-2020, this study tests the EKC hypothesis and climate finance-Kuznets curve. It finds an inverted U-shaped relationship between climate finance and CO2 emissions, suggesting that climate finance reduces emis…

Piyu Ke, Philippe Ciais, Yitong Yao +30

Quantifies the global CO2 budget from July 2024 to June 2025 using low-latency data, showing a 6.5% above-average atmospheric growth rate and a weakened land sink. Recovery in early 2025 is method-dependent, with inversions indicating near-…

Han Zeng, Xiaoyu Chen

Using panel data from 30 Chinese provinces (2004-2024), this study employs textual analysis and double machine learning to assess the impact of new digital infrastructure (NDI) on fishery carbon emissions (FCE). NDI significantly reduces FC…

Mei-Fang Liu, HU Xue-ping

Using panel data from 30 Chinese provinces (2010-2023), this study shows that rural digital economy development significantly promotes agricultural low-carbon transformation. The effect is mediated by regional economic development, strength…

Alireza Ghayour Najafabadi, Ana Mafalda Matos, José Miguel Castro

This paper proposes a performance-driven framework for designing low-carbon binders for self-compacting concrete. It provides a design method that balances material performance and environmental impact, contributing to decarbonization in th…

Jun-Cheol Lee

This study experimentally validates low-carbon mortar mixtures generated by GPT-5.5. With 60% GGBFS replacement, it achieved 60% cement reduction and ~56% embodied carbon reduction while meeting 28-day strength of 40 MPa. GPT-5.5 is useful …

Yi Zhang, Wen Wang, Risheng Gao +1

Using panel data from 30 Chinese provinces (2012-2023), this study constructs a Digital Agriculture Development Index and examines its impact on agricultural carbon emission intensity. Results show that digital agriculture significantly red…

Shuhong Ma, Yuxuan Deng, Chao-Jie Duan +1

Using multi-source data from Shenzhen, this study models urban transport carbon emissions and evaluates low-carbon mode shift scenarios. Results show that combining shared bikes with rail transit can cut emissions by up to 20.34%, while sta…