GX & Decarbonization Research

Chuanyu Zhou

This systematic review synthesizes over 100 peer-reviewed articles on the EU CBAM, analyzing its theoretical foundations, economic impacts, legal challenges, and global governance implications. Ex-ante modeling suggests CBAM effectively pre…

Yinan Feng, Wubin Yan, Chuan Zhang

This study integrates LCA and TEA to evaluate 31 biomass utilization pathways in China, finding that prioritizing green fuel production offers higher profitability and decarbonization potential. It proposes optimizing inter-sectoral biomass…

Chen Wang, Jian Zuo, Xinyu Chen +11

This study develops a comprehensive framework to evaluate the economic and climate benefits of local versus outsourced PV waste recycling across technologies. Global PV waste will reach 297–402 million tonnes by 2060, with middle-income reg…

Hussain Muhammad, Mohamed Aman

Using panel data from STOXX Europe 600 firms, this study finds a positive association between environmental performance and disclosure, strengthened by climate governance and weakened by ESG controversies. Credible disclosure requires stron…

Jingyi Zhang, Jarod Kelly, Michael Wang

A tool developed to help U.S. battery manufacturers meet the carbon footprint reporting requirements of the EU Battery Regulation (EU) 2023/1542. It integrates major international frameworks including JRC, RECHARGE, Catena-X, Battery Pass, …

Murali Krishna Pasupuleti

This monograph proposes an integrated architecture for high-integrity carbon-credit market analytics, combining geospatial observation, topological data analysis, statistical inference, machine learning, and quantum-assisted computation. It…

M. Zhang

This study optimizes the combination of U-value and solar heat gain coefficient (SHGC) for plastic doors and windows in ultra-low energy buildings in frigid regions. Using a genetic algorithm and weighted entropy method within a multi-objec…

DS Hettiarachchi, S. M. Samindi M. K. Samarakoon, Kjell Tore Fosså

This study optimizes low-carbon high-strength concrete with 50% cement replacement using Icelandic volcanic pozzolan (VPI) and silicomanganese slag (SiMn) via response surface methodology. Water-to-binder ratio dominates strength, superplas…

Kui Hu, Wenhui Chen, Kunpeng Zhang +3

This study uses machine learning to optimize the design of low-carbon asphalt mixtures incorporating recycled concrete aggregate. By incorporating engineering constraints, it proposes mix designs that balance carbon emission reduction with …

Yan Liang

This paper proposes an intelligent management platform architecture for ecological governance under low-carbon constraints. It integrates edge-cloud collaboration, spatiotemporal graph networks, multi-modal anomaly detection, and multi-obje…

Quan Li, Silong Zhao, Yue Yuan +9

This study presents a soft-chemical direct regeneration method for retired LiFePO4 batteries using lithium carbonate and vitamin C, achieving efficient Li+ compensation and structural repair. The repaired material shows excellent electroche…

X. Y. Xu, S. N. Sun, X. G. Zhao

This study constructs a dynamic cost control model for green buildings enabled by low-carbon technology, integrating system dynamics and BP neural networks to improve prediction accuracy. Empirical validation shows a reduction in design-sta…

Fang Qi

This paper constructs a multi-objective optimization model for low-carbon urban fresh logistics distribution, minimizing total cost and carbon emissions. An improved ant colony algorithm with optimized pheromone update and heuristic weights…

Jinyong Xie, Zhang, Yi, 1981-, Yachao Zhang +4

This paper addresses the co-optimization of production and energy systems in steel industrial parks, leveraging hydrogen to achieve low-carbon operations. By integrating hydrogen as an energy carrier, it aims to reduce CO2 emissions while i…

Milton Fernando Montoya, Alberto Quintavalla

This paper analyzes the regulatory framework for low-carbon technologies in rural areas of the EU, examining implementation challenges and opportunities. It highlights region-specific barriers and enablers, offering insights for effective g…

Zhuo Chen, Baihe Gu, Xiong Qiyang +2

This paper explores using AI data centers' demand flexibility to support China's low-carbon power transition. It demonstrates how load shifting and adjustment capabilities of data centers can facilitate renewable integration and enhance gri…

Chunxian Feng, Yifeng Wang, Wenxue Wang +4

This paper proposes a cross-park dispatch optimization that integrates carbon and green certificate trading to reduce renewable curtailment and operating costs. Using ADMM and asymmetric bargaining, it achieves fair benefit distribution. Si…

Zhiyi Ye, Xiang Yuan

Developing an AI-assisted bilevel optimization combining Bayesian Optimization and MILP for maritime decarbonization under EU ETS. In the Asia-Europe case, it reduces cumulative emissions by 28.39% with only 0.213% resource cost increase, o…

Peng Ma, Chen Li, 龚业明 +1

This study analyzes optimal production, emission reduction, and financing strategies in an outsourcing remanufacturing supply chain with a capital-constrained remanufacturer under cap-and-trade and reward-penalty policies. Comparing bank lo…

Erdan Wang, Hao Chen, Renfeng Li +1

This study empirically examines how preferential trade agreements (PTAs) affect embodied carbon emissions in trade using bilateral trade data and a staggered difference-in-differences approach. It finds that PTA signing reduces carbon embod…