GX & Decarbonization Research

Julia-Lena Reinermann, Dorothee Arlt, Hannah Charlotte Müller +1

This study surveys German internet users to examine public knowledge and attitudes towards carbon capture and utilisation (CCU). Findings show low and socially stratified knowledge, widespread uncertainty, and small but significant framing …

Canada Foundation for Innovation | Fondation canadienne pour l'innovation

This paper focuses on electroactive molecules designed for electrochemical small molecule upgrading and carbon capture. It contributes to carbon capture, utilization, and storage (CCUS) technologies, potentially enhancing efficiency and sup…

USDOE Office of Critical Minerals and Energy Innovation (CMEI), Office of Innovation, Affordability, and Consumer Choice (IACC). Industrial Technologies Office (ITO), William Sagues, Energy Efficiency Office. Industrial Efficiency & Decarbonization Office (IEDO) USDOE Office of Energy Efficiency and Renewable Energy (EERE) +4

This paper examines the integration of carbon capture, utilization, and sequestration (CCUS) into chemical pulp mills, addressing emission reduction potential and implementation challenges in the pulp industry.

Ginger W. Brown, Serena Y. Chin, Natalia V. Solomatova +3

This paper combines Raman spectroscopy and machine learning to quantify mineral carbon capture (CCS). It proposes a method to estimate carbon sequestration from spectral data, potentially improving CCS monitoring accuracy. However, specific…

Ana Laura De la Colina Martinez

This paper explores carbon capture using alkaline industrial waste, leveraging waste properties to fix CO2. It aims to combine waste valorization with emission reduction. Specific findings are unclear, but it represents a novel approach in …

Ana Laura De la Colina Martínez

This paper focuses on carbon capture using concrete wash water, exploring potential CO2 emission reductions in the construction industry. Specific methods and results are unclear, but it highlights an innovative application of CCUS.

Xiaoshun Zhang, Chundi Wang, Zhengxun Guo +1

This paper proposes a Stackelberg bi-level optimization framework for low-carbon grid-load interaction, integrating multi-objective demand response of energy-intensive enterprises. DCEF (likely carbon emission factor) drives the coordinatio…

Jicheng Du

This study develops a machine learning benchmark and life-cycle screening database for low-carbon alkali-activated materials from coal gangue and steel slag. It compiles 237 mixture records, benchmarks Random Forest and XGBoost under variou…

Jinde Jiang, Junding Yang, W Liu +3

This paper addresses information asymmetry in 3PL-led low-carbon supply chains using a Stackelberg dynamic game model. It shows centralized coordination improves both carbon reduction and profits under carbon cap policy and consumer low-car…

Nhat‐Luong Nhieu, Hoang‐Kha Nguyen

This study develops a T-Spherical Fuzzy-Valued Neutrosophic MEREC-EDAS framework to evaluate low-carbon cooling and energy management technologies for data centers. Based on assessments from 30 experts, nine technologies are ranked against …

Yu-Chen Chou, Priskila A. Diankristanti, I‐Son Ng

This study reports that low-cost monosodium glutamate (MSG) rewires nitrogen metabolism in cyanobacteria, enhancing carbon capture and biomass production. It offers a cost-effective strategy to improve biomass yields for biofuel and bioprod…

Hongyue Deng, Huizhen Wan, Xu Li +4

This study proposes an integrated electricity-heat-gas-hydrogen energy system for carbon anode industrial parks and develops a 24-hour multi-objective scheduling model. By using surplus PV power for hydrogen production and coordinating grad…

Zhengjiao Qi, Yukuan Wang, Jingxian Liu +1

This study applies a wind-constrained Pareto multi-objective reinforcement learning (Pareto MO-PPO) to vessel traffic organization in port approach channels, incorporating wind as both an emission driver and scheduling constraint. In a Caof…

Shuhan Cao

Using the green finance reform pilot zones as a quasi-natural experiment, this study employs DID on panel data from 814 listed high-energy-consuming firms (2011-2024). While average treatment effects are insignificant, heterogeneity analysi…

Bo Zhang, Shengnan Hou, Hongmei Li

Using panel data from 30 Chinese provinces (2011-2023), this study shows that digital economy development significantly reduces carbon emission intensity. Industrial upgrading amplifies this effect, and the reduction strengthens after cross…

Rui Zhang, Zheyu Lin, Yiming Su +1

This study evaluates the impact of China's low-carbon city pilot policy on the mental health of older adults using quasi-experimental methods. It reveals unintended benefits of climate policy, suggesting positive social co-benefits.

Y. D. Bao, Yiyi Lu, C. Liu +5

This paper proposes an LSTM-based forecasting framework for data center energy consumption, integrated into a dual-carbon data management pipeline. The model, featuring attention pooling and multi-task PUE prediction, reduces RMSE by up to …

(著者不明)

This study optimizes HfZrO2-based FeFETs via TCAD simulations, achieving steep subthreshold switching and low-voltage operation, potentially reducing dynamic power by up to 75% through supply-voltage scaling. Non-volatile ferroelectric stat…

Yulin Zhu, Minzhi Sun

This study analyzes the spatial treatment effects of China's Low-carbon City pilot policy on PM2.5 concentrations across 277 cities from 2005 to 2023. It finds significant direct effects in high-policy-intensity regions, and significant spa…

Sachinkumar N Sarangamath, Priya Guhamagadi

Using panel data from 50 emerging markets (2000-2023), this study finds that FDI inflows significantly increase renewable energy share and per-capita installed capacity while reducing carbon intensity of GDP. The effect is stronger in count…