GX & Decarbonization Research

Tao Zhang, Yifan Zhang, Tengshuo Li +1

This paper proposes a robust optimal scheduling method for multi-energy microgrid clusters in weak distribution networks under wind and solar uncertainties. It integrates power-to-gas and CCS technologies with a stepped carbon trading schem…

Fuad Alhaj Omar, Nihat Pamuk

This paper conducts a systematic integrative review of Neighborhood-Level Energy Hubs (NLEHs) as enablers of sustainable urban energy systems. It synthesizes 125 studies and proposes embedding energy justice and social life cycle assessment…

Yuan-chun Yu, Dongming Chen, Hongwen Chen +2

This study constructs a firm-level trade policy uncertainty (TPU) index using textual analysis of Chinese listed firms' annual reports. It finds an inverted U-shaped relationship between TPU and green innovation: moderate TPU spurs innovati…

Wen Zhang, Dengfeng Li, Zhibin Wu +1

This paper proposes a parallel hybrid forecasting framework for economic dispatch in China's electricity market, addressing challenges from VRES variability and carbon price volatility. It integrates dynamic battery storage and ancillary se…

Yan Zhou, Haiying Zhou, Wenjuan Sui +1

This paper uses a Stackelberg game model to analyze vessel technology choices between shore power (SP) and low-sulfur fuel oil (LSFO) in a maritime supply chain under cap-and-trade. Key findings: LSFO dominates at low carbon prices while SP…

Amy Townsend‐Small, Sacha Brewer, David Stradling

This paper examines methane emissions from gas streetlights and the cultural resistance to their phase-out, highlighting a niche but tangible source of greenhouse gases often overlooked.

Hongyu Wang, Zhiyu Zhao, Kai Cui +4

This paper proposes a 'Prediction-Optimization' closed-loop framework for low-carbon EV fleet charging. A hybrid forecasting model (VMD-BSLO-CTL) integrating VMD and CNN-Transformer-LSTM is built and validated on UK National Grid data. A mu…

Mark Shakespear, Yasmin Koop‐Monteiro, Mark C.J. Stoddart +2

This study applies discourse network analysis to Instagram posts from COP26 and COP28, focusing on fossil fuel phaseout, renewable energy, and just transition. It maps the discursive structures and identifies key actors and framing differen…

Xiaohui Yang, Yujin Tao, Yawen Chen +3

This paper proposes a local sharing framework integrating power, carbon allowances, green certificates, and ancillary services for clustered microgrids. Using bilevel optimization and multiagent deep reinforcement learning, a Dalian case st…

Chao Tang, Jiabo Gou, Xiaoqiao Liao +5

This paper develops and tests a stakeholder-based framework for grid-forming microgrid development using PLS-SEM on survey data from 200 stakeholders. Results show investor participation as the strongest driver, followed by user acceptance,…

Huibo Qi, Xiaowei Lu, Fei Long +1

This study uses information decision theory and Bayesian networks to simulate corporate investment decisions in forestry carbon sequestration within China's carbon market. Findings show that external factors (tax incentives, consumer prefer…

Tianzhi Huang, Li Ma, Xuemei Wang +3

This study prioritizes ecological restoration pathways for carbon neutrality and land degradation neutrality in China's degraded landscapes. Using a fuzzy MCDM framework, it identifies precipitation, soil moisture, soil organic carbon, and …

Dalia Štreimikienė, T. Baležentis

This paper reviews the shadow carbon price (SCP) approach for tracking energy efficiency in the EU service sector. It synthesizes literature on non-parametric methods (DEA) to assess marginal CO2 abatement costs, highlighting disparities ac…

God’sable Sitsofe Koku Aidam, Richard Opoku, Francis Davis +5

This paper presents a multi-modal assessment of electric mobility for sustainable intercity transport in Ghana, an emerging economy. It evaluates technical, economic, and environmental aspects, identifying key factors for successful EV adop…

Mingke He, Yi Zhou, Yihan Qiao +2

This study uses a biform game model to analyze emission reduction cooperation among technologically complementary manufacturers under a cap-and-trade mechanism with price competition. Results show that high emission reduction investment coe…

Bardia Moghtader, Füsun Ülengin, Eda Helin Yıldız +2

This paper examines the relationship between trade flows and carbon emissions, assessing progress toward climate targets. It measures emissions embedded in international trade and provides policy implications.

Adán Villa-Herrera, Martín Alejandro Bolaños-González, José Manuel Salvador-Castillo +1

This study estimates the carbon footprint of organic shade-grown coffee in Chiapas, Mexico, finding an average of 0.816 kg CO2e per kg of green coffee, lower than conventional systems. Key emission sources are pulp decomposition and roastin…

D. S. Klimov, A. N. Drozdov

This paper analyzes the production costs of CO2 capture technologies at industrial and energy facilities. It evaluates cost structures and potential reductions, contributing to the economic feasibility of CCUS.

D. Singh, S. Nagappan, C. Lay +5

This review critically examines BECCUS technology, focusing on market dynamics, policy frameworks, and technological innovation. It recommends transparent carbon pricing, emission trading systems, and certification for biogenic carbon, alon…

Yang Gao, Shuangqi Li, Tianhua Xu +4

This paper proposes a distributed model predictive control strategy for a multi-energy virtual power plant (MEVPP) integrating digital twin and stepwise dynamic carbon trading. It uses deep neural networks and clustering for dynamic aggrega…