GX & Decarbonization Research

(著者不明)

This study analyzes transportation carbon emissions in Sichuan Province, China, using LMDI decomposition and STIRPAT-based scenarios. Emissions grew from 12.47 Mt in 2005 to 24.02 Mt in 2020, with peak expected around 2035 under low-carbon …

A. S. Rukavitsyn, D. A. Fomin, I. A. Fedotov

This paper analyzes strategic shifts among American and European oil and gas majors during the fourth energy transition. European firms (BP, Shell, TotalEnergies) diversified into renewables but failed to deliver expected results, pivoting …

Katherine K. Porterfield, Eric D. Roy

This LCA study evaluates electric countertop food dehydrators for pre-composting treatment, finding that dehydration reduces climate impact by 42-92% compared to landfilling, but the benefit depends on transport distance and grid carbon int…

Giacomo A. Campagnola, Bruno S. Sergi, Emiliano Sironi

This study applies machine learning to survey data from 23 European countries to examine the relationship between personal attitudes toward climate change and energy-saving behaviors. It finds that perceived personal responsibility for clim…

Myles Lennon

This article argues that calendrical teleologies like '2050' do not motivate the everyday people leading the U.S. energy transition. Instead, the American pioneer myth, combined with contemporary entrepreneurialism, animates a market-based …

Omer S, Ghanim H, Ahmed I +3

This study analyzes determinants of renewable energy consumption in Saudi Arabia (1990-2025) using ARDL and Random Forest with SHAP. Results show strong path dependence and negative effect of trade openness, with improved model fit after Vi…

Jamal S, Pasupuleti J, Maghami MR +1

This study optimizes a microgrid energy management system (EMS) to reduce operating costs. Using the Pelican Optimization Algorithm (POA), it evaluates combinations of renewable sources, battery storage, and demand-side management (DSM) via…

(著者不明)

This paper analyzes how the growing electricity demand from data centers, driven by AI, affects renewable energy adoption and operation. It examines the impact of data center siting and power procurement strategies on renewable markets and …

Pengyu Ren, Wei Sun, Fei Teng

Large data centers are concentrated grid loads whose disconnection during voltage disturbances can threaten system stability. This paper proposes a co-planning framework coupling transmission fault simulation with an internal data center ri…

Siyao Liu, Xuheng Liu, Fenglong Sun +2

This paper investigates aluminum extraction from low-aluminum coal fly ash via calcification roasting to reconstruct mineral phases. It contributes to resource recovery and waste reduction, supporting circular economy and resource efficienc…

Muhammed Turğut, İpek GÜRSOY

This study evaluates decarbonization criteria in maritime transport using Interval-Valued Pythagorean Fuzzy AHP. Based on five experts' judgments, low-carbon equipment, shore power, emissions measurement/reporting, fleet modernization, and …

Sugeng Marsudi, Dyah Agustin Widhi Yanti, Supangat Supangat

This study analyzes human capital resilience in the maritime industry to reconstruct HRM strategies for digitalization, decarbonization, and automation. Based on interviews with 30 informants, it identifies four key dimensions: digital adap…

Yu-Zhu Chen, Ming Gao

Using panel data from 111 cities in the Yangtze River Economic Belt, this study estimates carbon emissions from domestic waste, decomposes influencing factors by city type, and predicts reduction potential using BP neural networks and scena…

Xingjian Wang, Hong Zhang, Xiaoyu Zhang +2

This study assesses the synergy between greenhouse gas and air pollutant emission reductions in Shanxi Province, China, using scenario analysis up to 2060. Economic development is the main driver of emissions, while energy structure optimiz…

Haoran Xu, Minjie Shi, Yujie Cui +5

This study develops an organic molecular electrode (PPZ-2NO2) for capacitive deionization (CDI) to address the sustainability trilemma of seawater desalination: high energy use, chemical reliance, and carbon emissions. The system achieves h…

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…

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…

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…