GX & Decarbonization Research

Samson Mwakapoma, Bertha Mwaituka, Ally Ngulugulu

This study explores the use of AI in clean cooking technologies in Tanzania to improve system performance and access to carbon credits. Key AI functions include real-time monitoring, predictive maintenance, user behavior analysis, and AI-ba…

Sukanya Sereenonchai, Noppol Arunrat, P. Sae-heng

This study integrates TPB and COM-B to analyze factors associated with Thai farmers' intention and participation in voluntary carbon markets (VCM). Using PLS-SEM on survey data from 240 farmers, perceived behavioral control (PBC) showed the…

Yue Wang, Hossein Babaei

This study investigates a carbon-integrated direct DME production system using internal CO2 looping as a thermodynamic design variable. Ten configurations at 5000 MTPD capacity were evaluated with two H2/CO ratios and controlled CO2 recycli…

Zhicong Wu, Junxian Wu, Fenglin Zhang +1

This paper presents a thermodynamic and economic analysis of a novel biomass oxy-fuel combustion system that co-produces power and methanol, incorporating cryogenic carbon capture and recycle of purge gas. The study evaluates efficiency and…

Tehseen Ullah, Sadiq ur Rahman, Sumayya Fayyaz +1

This study synthesized a novel POM-132@MOF-5 composite for CO₂ capture. Characterization via FTIR, XRD, SEM, and EDS confirmed successful integration. CO₂ adsorption tests at 273 K and pressures from 0.5 to 2.5 bar showed a capacity of 25 m…

João P. G. Machado, Vinícius P. de Oliveira

This study tested whether surface area-to-volume ratio (AV) predicts primary productivity and carbon capture across 11 tropical macroalgal species. AV strongly correlated with net and gross primary productivity (NPP, GPP), explaining 57-65%…

Jason A. F. Sherman, Anca Ostace, Douglas A. Allan +1

This work applies robust optimization (PyROS) to design a monoethanolamine-based post-combustion carbon capture process under uncertainty. It achieves risk-averse designs for CO2 capture rates from 90% to over 99%, with solutions up to 98% …

Hang Yang, Hongli Diao, Shibin Xia

This paper discusses how AI technologies revolutionize carbon capture, utilization, and storage (CCUS). Machine learning and optimization algorithms enable efficient CO2 capture, storage site selection, and process monitoring. It highlights…

Shouxiang Wang, Fayang Tian, Xuan Zhang +3

This paper proposes a reinforcement learning approach for cooperative energy management in low-carbon communities, incorporating electric vehicle charging satisfaction to achieve sustainable operations.

Lanh Thi Vinh Pham, Dung Tien Nguyen, Thang Thi Nguyen +1

This study develops low-carbon mortar using recycled concrete powder (CP) and fly ash as partial cement replacements. The optimum mix with 60% CP and 10% fly ash achieves masonry-grade strength while reducing material cost by 43% and global…

Jiarui Hu, Yuchen Yan, Xianpu Xu

Using a panel dataset of 283 Chinese cities from 2006-2022, this study employs a multi-stage DID approach to analyze how the National E-commerce Demonstration City Pilot Policy (NEDCP) affects urban carbon emissions. Results show significan…

Madhan Kumar Meganathan, Mohammed Abu Javid, Sathya Narayanan Bhaskar +1

This study introduces an auxiliary-free leather dyeing process using PAMAM-G0 dendrimers. It reduces water and energy consumption by ~50%, avoids ~831 kg CO2 per ton of leather, and enables a closed-loop system reusing dye baths for five cy…

Mei Dou, Liu Yang, Yuhao Qiao +1

This study proposes a high-resolution mapping method for building-stock carbon emissions. By considering spatial heterogeneity and using planning-indicator-based diagnosis, it provides concrete measures towards low-carbon cities. The findin…

Divyabhan S. Duggal, Haimeng Wu, Neil S. Beattie +1

This paper proposes a probabilistic multi-horizon forecasting framework based on a multi-output quantile LSTM architecture for industrial energy management with on-site renewables. It uses conformal prediction to improve prediction interval…

Juping Ge, Qixiang Miao, Xiaozhen Wang +3

This paper explores the application of digital technologies (BIM, IoT, digital twin) for low-carbon management across the entire lifecycle of construction projects. It compares domestic and international cases, summarizes implementation mod…

Qi Li, Wenxiong Wang, Zongbao Feng +2

This paper evaluates pathways for emission reduction and carbon sequestration in comprehensive land consolidation in rural China through configurational analysis of low-carbon behaviors. It suggests that combinations of various factors cont…

Leandros Paschalidis, Kai Fabian Kruber, Simon Müller +1

This paper examines the steam barrier as a design constraint in carbon capture and explores pathways to low-temperature regeneration, potentially improving CCUS efficiency.

Chen Chunxia, Zhihua Yang

This paper proposes a low-carbon logistics network optimization method for automotive parts using an improved particle swarm algorithm (IPSO). A multi-objective optimization model considering distance, load, and transport modes achieves low…

Xiaotong Jian, Ruohan Wu, Rong Xu +1

Using panel data of Chinese A-share listed firms from 2012 to 2022, this study finds that low-carbon policy intensity increases corporate financialisation (shift from real investment to financial assets). The mechanism is driven by short-te…

Meihan Chen, Xiangyun Chang, Zhengwei Sun +2

This paper analyzes firm behavior, market dynamics, and policy design in carbon offset and cap-and-trade systems. It examines how policy design influences firm investment in emission reductions and carbon credit trading, aiming to inform ef…