GX & Decarbonization Research

Liangliang SUN, Xingguo Tan, Chaomeng LI

This paper proposes an ordered charging scheduling strategy for electric vehicles (EVs) to improve wind power accommodation. It establishes a charging load model, develops a TOU price strategy based on wind power output, and incorporates ca…

Yanlin Li, Zhigang Lu, Shixing Ding +3

This paper proposes a low-carbon energy system planning method that integrates multi-regional atmospheric carbon concentration and meteorological probability fluctuations. It incorporates climate uncertainty to derive more realistic decarbo…

Yunlong Lv, Min Liu, Qiao-Chu Wang +3

This study evaluates 44 low-carbon technologies for primary copper production in China, identifying optimal technology packages and adoption pathways. Key findings: molten-salt heat storage exchange shows high mitigation potential and econo…

Bin Ye, Hongjiang Pu, Jingjing Jiang +2

This paper proposes an evaluation framework for low-carbon energy transition of energy-intensive enterprises in China’s electric-carbon market, and discusses development strategies based on the framework.

Zhitong Chen, Haipeng Nan, Fuqi Ma +4

This paper proposes a bi-level optimization model incorporating adaptive carbon price and low-carbon demand response to achieve low-carbon dispatch of integrated energy systems. It balances emission reduction and economic efficiency, valida…

Juejing Fang, Xin Lyu, Ke Yang +3

This study explores low-carbon backfill and carbon sequestration using coal-based solid waste, proposing innovative strategies under China's carbon neutrality framework. It aims to simultaneously achieve waste management and CO2 reduction, …

Xiaohui Xie

This paper proposes a carbon emission modeling framework based on graph neural networks. It constructs a heterogeneous graph with production equipment, energy consumption units, and emission factors as nodes, using multi-scale graph convolu…

Yiting Chen

This paper identifies the lack of an independent carbon dimension in ESG evaluation systems under China's carbon neutrality targets. Through a bibliometric analysis of Web of Science and CNKI publications, it maps the research shift from ge…

Priyaranjan Jha, Advitha Arun

This paper analyzes the impact of the Carbon Border Adjustment Mechanism (CBAM) on trade and development in the Global South. It discusses potential trade frictions, effects on industrial competitiveness in developing countries, and implica…

Y J Li, Guo‐Fu Li, Sarah Cooper +2

This study analyzes the co-evolution of AI-driven carbon emission monitoring and dynamic carbon trading mechanisms, examining how heterogeneous policy combinations affect system efficiency and emission reduction outcomes. It suggests AI int…

Ju Qiu, Zong-Hong Cao, Feng Yu +2

This paper examines energy performance contracting (EPC) selection and carbon emission decisions in a supply chain under cap-and-trade regulation. A supplier can provide EPC to a manufacturer to enable low-carbon production. Results show th…

Yi-Ming Wei, Si-Yi Wei, Biying Yu +11

This study shows that including ozone effects in the assessment of carbon neutrality policies significantly increases estimated global crop yields and economic benefits. Using modeling, it highlights the importance of considering air qualit…

Muhammad Shahzad Javed, Karin Fossheim, Paola Velasco‐Herrejón +3

This study surveys 286 Norwegian high school students on their preferences for future energy systems. Over 68% favor offshore wind, and students prioritize environmental protection and energy independence over cost minimization, challenging…

Guo B, Islam MT

This study provides a prior assessment of using CO2 as fracturing fluid to enhance injectivity in gas hydrate reservoirs for CO2-CH4 swapping and CO2 storage. A new analytical model for hydraulic fracture initiation and propagation is devel…

Kwakye, Ampong Dominic, Švadlenka, Libor, Molkova, Tatiana +1

This study proposes and evaluates an urban logistics system combining rail transport with low-emission last-mile delivery modes (electric vehicles, cargo bikes, crowdshipping). Using operational simulation and break-even analysis, it finds …

Zhang, Bin

This dataset provides a 10-m resolution vector map of utility-scale and rooftop PV plants across China in 2024, extracted from Sentinel-1/2 imagery using a hybrid genetic algorithm and LightGBM classifier with 95.16% accuracy. It includes p…

Weixiang Cai, Chao Li, Lei Xu +5

This study evaluates carbon sequestration rates (CSR) in Loess Plateau ecosystems from 1980 to 2060 under three climate scenarios by integrating field data and models. It predicts a total increase of 2.62 Pg C in vegetation and soil, with C…

Yue Shen, Xingcheng Ge, Wang Yang +2

This study proposes an MCDA framework for prioritizing sustainability criteria in China's urban development, integrating Delphi, Bayesian networks, and BWM. It finds that environmental sustainability and governance are most critical, with c…

Xiaohang Ren, Zihui Sima, Farhad Taghizadeh‐Hesary +1

This paper proposes a CNN model using EUA chart images to predict carbon price trends. It converts price and volume data into pixel images for next-day and n-day cumulative predictions. The model outperforms traditional machine learning mod…

Jun Ning, Shoujuan Tang, Yuheng Sun +4

This study evaluates the CO2 mitigation potential and abatement costs of circular economy (CE) measures in China's textile industry (2023-2030). The total mitigation potential is 57.70 Mt CO2/year, accounting for 18.79% of 2023 emissions. L…