GX & Decarbonization Research

Latifa Dekhici, Khaled Guerraiche, Aykut Fatih Güven +3

This study proposes a framework integrating machine learning (Random Forest) with metaheuristics for energy-aware hybrid flow shop scheduling. Using real-world steel industry data under Algeria's time-of-use tariff, the model achieves up to…

Wang Zeng, Heng Zhou, Shengli Wu +2

This study elucidates the mechanism of low-carbon emission reduction in blast furnaces through hydrogen-rich gas injection and DRI (direct reduced iron) burden. It provides technical insights for decarbonizing the steel industry and optimiz…

Ying An, Jing Bai, Xi Vincent Wang

This study evaluates the coupling coordination between urban resilience and low-carbon development in the Yellow River Basin from 2006 to 2021. Using entropy-weighted TOPSIS, coupling coordination model, geographic detector, and spatial Dur…

Yuhua Zhang, Jianhui Wang, Hua Xue

This paper presents a Park Integrated Energy System (PIES) model with multiple energy storage and V2G components, and proposes an adaptive comprehensive fitness multi-objective particle swarm optimization algorithm. EV scheduling boundaries…

Tao Wu, Xinyu Li, Jie Li +3

This paper proposes a scheduling optimization method for low-carbon industrial parks using large language models and multi-modal process memory. It enables multi-timescale scheduling to enhance energy efficiency and support decarbonization.

Yue Xu, Linyu Wu, Q P Wang +5

This paper uses system dynamics to model the urban power system of Jinan, China, identifying four key factors under three regulatory dimensions (industrial structure, energy storage technology, energy consumption intensity). The optimal sce…

Jie Yang, Can Wu, Kuisong Li +1

This paper proposes a hybrid game-theoretic dispatch method for multi-regional integrated energy systems with shared energy storage, integrating carbon emission trading and green certificate trading. The hierarchical Stackelberg-cooperative…

Tao Zhou, Zemin Zhang, Zhi-ying Kuang +2

This paper analyzes strategies for open-sourcing low-carbon technology and adopting blockchain among competing firms, incorporating consumer risk aversion. Using game theory, it identifies conditions for optimal technology sharing and block…

Ya Zhang

This dataset provides replication data for an empirical study on the impact of green digital finance on corporate green total factor energy efficiency in China. Using a sample of Chinese A-share listed firms from 2012 to 2023, it measures g…

Haipeng Guo, Hailun Zhou, Mingyang Liu +6

This paper presents a low-temperature fabrication method for carbon papers used in proton exchange membrane fuel cells, achieving high mechanical strength and performance. It contributes to improving fuel cell efficiency and reducing costs.

Yang Fei, Mohammad Fazli, Shibo Kuang +5

This numerical study investigates high-H2 operation and gas injection strategies to improve shaft furnace performance for low-carbon ironmaking. It presents technical pathways for decarbonizing the steel industry.

Yunrui Zhao, Hui Luo, Baojie He

This study develops ternary low-carbon gelling materials from red mud, mineral powder, and soda residue. The optimal sample (MRS16) achieved 51.3 MPa compressive strength (43.7% increase), 43.2% lower drying shrinkage, and 73.9% reduced mas…

Jiaqiang Wang, Meiling Yue, Jianwen Meng +1

This paper proposes a two-stage optimal scheduling method for a PEMFC-based combined heat and power system to simultaneously improve economic and low-carbon performance. The first stage performs day-ahead planning, and the second stage adju…

Liu Yang, Yuping Wu

This study uses text-mining to analyze the central-local synergy and thematic evolution of China's green and low-carbon energy policies. It reveals how central and local policies interact and how policy themes have evolved over time based o…

A. Zaoui, W. Sekkal

This study uses reactive molecular dynamics to investigate the atomic-scale mechanisms of stability and mechanical performance in phosphoric-acid-activated geopolymers (PAG). It reveals that aluminum transitions from tetrahedral to octahedr…

Wei Deng, Pengfei Liu, Rui Xiong +5

This paper investigates a microbial mineralization strategy to activate low-carbon recycled concrete powder, focusing on its mechanical properties and hydration behavior. It presents a potential low-carbon approach for construction material…

Ying Liu

This paper proposes an optimization model for environmental benefits of a photovoltaic-coal hybrid power generation system using an improved particle swarm optimization (PSO) algorithm. The hybrid system integrates PV and coal models via sy…

Sujeong Park, Sooah Kim, D J Kim +4

This study integrates a CO2-fixation pathway and PAN2 truncation in Saccharomyces cerevisiae to produce low-carbon single-cell protein, reducing carbon emissions compared to conventional protein production.

Jiazheng Zhang, Daokui Yang, Yunfei Wang +7

This study proposes a combined approach of basalt mineralization and CO2 hydrate formation for carbon sequestration in low-temperature marine settings. It explores synergistic effects for long-term stable storage, though quantitative findin…

Xiang Yang, Xinghua Liu, Zhongbao Wei +3

This paper proposes a distributionally robust low-carbon economic dispatch model for an electric-hydrogen coupled system under high renewable penetration. It optimizes operating costs and carbon emissions while addressing uncertainty in ren…