GX & Decarbonization Research

Okon Udo Frank, Julius U. Akpabio, Aniefiok Livinus

This study develops AI models (ANN and SVR) to predict CO2 trapping efficiency with high accuracy, validated on 260 data points from a gas flare site in the Niger Delta. The ANN model achieved R2=0.9993, and CO2 mass fraction was the most i…

Calistus Princewill Odeh, Chibuzo Ndubuisi Okoye, Sunday Chimezie Anyaora

African elemi shells were hydrothermally carbonized to produce hydrochar for CO2 capture. Response surface methodology optimized conditions, achieving a high surface area of 976.3 m2/g. The hydrochar shows potential as a CO2 adsorbent.

Daokui Yang, Mengxia Xu, Jiazheng Zhang +8

This study proposes a low-carbon synthesis of NaP1 zeolite from municipal solid waste incineration fly ash using ultrasonic pretreatment. The resulting zeolite exhibits robust removal of oxytetracycline, offering a circular economy approach…

Chenxin Luo, Fengming Tao, Beifei Yuan

This paper proposes a time-dependent vehicle routing problem for low-carbon urban logistics, integrating traffic congestion, road gradient, and vehicle load. It aims to optimize routes to reduce CO2 emissions while maintaining delivery effi…

Caixuan Zhan

This paper develops a two-echelon cross-border supply chain model integrating blockchain, vertical spillover of emission reduction, and consumer low-carbon preference under EU CBAM. Using Stackelberg games, it compares centralized vs. decen…

Yu Jiang, Yu Yan, Zeren Gongbu +2

This study uses a discrete choice experiment to analyze Chinese farmers' preferences for low-carbon agricultural technology (LCAT) extension program attributes: organizing body, delivery agent, format, and participation cost. Results show d…

Mark Noll, Jongwhan Kwon, Audun Botterud

This paper compares capacity expansion in low-carbon electricity systems with hydropower, focusing on long-term market designs and unit operations. It provides insights for integrating renewables and maintaining grid reliability.

Yu Jiang, Yu Yan, Zeren Gongbu +2

This study uses a discrete choice experiment with Chinese farmers to analyze preferences for organized low-carbon agricultural technology (LCAT) extension programs. Delivery format is the most influential attribute; programs organized by go…

Rui He, Yining Feng, Na Lu

This study investigates the effect of low-dosage colloidal nanosilica (0.3% and 0.6% by cement weight) on the carbonation performance of Portland limestone cement (PLC) and ordinary Portland cement (OPC). Accelerated carbonation tests show …

Guorui Wang, Liang Zhong, Yixuan Zeng

This review systematically synthesizes evolutionary game theory (EGT) fused with AI (deep reinforcement learning, federated learning, blockchain) across three scales: enterprise-level industrial symbiosis, system-level smart energy operatio…

Matthew McCarthy, Davoud Ghahremanlou, Amir Ghahremanlou

This study uses Sentinel-5P TROPOMI satellite data to analyze CO and NO2 concentrations in Yukon and Alaska from 2019-2024, demonstrating its potential for low-carbon energy planning and air-quality management. Results show a clear regional…

Ge Lin, Mengjiao Zhou, Wei Song +1

Using survey data from 869 households in tourism villages in Jiangxi, China, this study shows that livelihood resilience significantly promotes agricultural low-carbon practices, especially among part-time and self-managed tourism household…

Nargiz Aliyeva, Havva Baskan-Bayrak, Burcu Saner Okan

This study converts lemon peel, orange peel, walnut shell, and pistachio shell into nano-carbon plates under identical conditions to compare feedstock-dependent structure, performance, and environmental impact. At 1 wt% loading, pistachio-d…

Lu Wang, Chunyan Sun, Xiaoyu Wang

This review surveys AI-enabled low-carbon technologies in the oil and gas industry, covering core needs, applications across key processes, comparisons of AI methods, challenges, and future trends. It serves as a reference for researchers a…

Jiamin Zhang, Yang Qian, Christina W.Y. Wong +1

This study examines how configurations of institutional pressures affect firms' low-carbon behaviors (hard and soft) and the moderating role of AI capability. Using panel data from Chinese A-share listed firms (2007-2022) with cluster analy…

Matthias Heinrich, Francisco del Campo, Simón Ladino Cano +1

This paper segments households to analyze co-adoption patterns of low-carbon solutions (e.g., solar, EVs, energy-efficient appliances). It identifies combinations of adoptions and links them to household characteristics, offering insights f…

Lirong Jian, Yunyun Lei, Wenting Wang

This paper proposes a three-layer network evolutionary game model to analyze the low-carbon transition of the lithium-ion battery industry. It considers interactions among government, enterprises, and consumers, examining how policy interve…

Chenguang Li, Hong Li

Coupling an 18-sector CGE model with a super-efficiency SBM model, this study simulates China's macroeconomic and green TFP responses to oil price shocks (200% permanent, P50, P100, P200_5Y) and evaluates four counterfactual policies. A com…

Omojola Awogbemi, S. A. Aasa, Oluwaseun O. Martins +1

This study examines the adoption, deployment, and integration of compressed natural gas (CNG) in Nigeria's road transport sector, assessing its potential for decarbonization, air pollution reduction, and energy security. It analyzes challen…

Muhammad Qayyum, Muhammad Adnan Bashir, Minhaj Ali +1

This study analyzes the impact of natural resource depletion on environmental quality (load capacity factor and CO2 emissions) in BICS countries (Brazil, India, China, South Africa) from 1970 to 2021, considering total primary energy, urban…