Sustainable e-fuels: Green hydrogen, methanol and ammonia for carbon-neutral transportation

VJ Reddy, NP Hariram, R Maity, MF Ghazali… - World Electric Vehicle …, 2023 - mdpi.com
Increasingly stringent sustainability and decarbonization objectives drive investments in
adopting environmentally friendly, low, and zero-carbon fuels. This study presents a …

Machine learning applications in catalytic hydrogenation of carbon dioxide to methanol: A comprehensive review

EG Aklilu, T Bounahmidi - International Journal of Hydrogen Energy, 2024 - Elsevier
The catalytic hydrogenation of carbon dioxide (CO 2) to methanol presents a significant
opportunity for both mitigating climate change and producing a valuable chemical feedstock …

Blended-amine CO2 capture process without stripper for high-pressure syngas

J Kum, S Cho, Y Ko, CH Lee - Chemical Engineering Journal, 2024 - Elsevier
With the emergence of the hydrogen economy, advanced CO 2 capture technologies are
essential for cost-effective H 2 production until renewable-energy based H 2 production …

Advanced process integration and machine learning-based optimization to enhance techno-economic-environmental performance of CO2 capture and conversion to …

Z Zhang, DN Vo, TBH Nguyen, J Sun, CH Lee - Energy, 2024 - Elsevier
Developing economically sustainable CO 2 capture and conversion processes is essential
to realize carbon neutrality. This study proposed an integrated process for CO 2 capture and …

Synergies between Carnot battery and power-to-methanol for hybrid energy storage and multi-energy generation

M Qi, C Cui, H Yu, T He, D Zhao - Journal of Cleaner Production, 2023 - Elsevier
Abstract Power-to-methanol (PtMe) technologies and Carnot batteries are two promising
approaches for large-scale energy storage. However, the current low efficiency and …

Machine learning-driven optimization for sustainable CO2-to-methanol conversion through catalytic hydrogenation

SAG Nia, H Shahbeik, A Shafizadeh, S Rafiee… - Energy Conversion and …, 2025 - Elsevier
Growing concerns about greenhouse gas emissions have accelerated research into
converting CO 2 into valuable products like methanol. Catalytic hydrogenation, utilizing a …

Sensitivity analysis and multi-objective optimization for design guideline of effective direct conversion of CO2 to DME

AE Carvalho, J Kum, AEB Torres, RB Rios… - Energy Conversion and …, 2024 - Elsevier
Carbon capture, utilization and storage (CCUS) technologies can play an important role in
sustainable development and climate change mitigation. After capture, carbon dioxide can …

Advanced integration strategies and machine learning-based superstructure optimization for Power-to-Methanol

DN Vo, M Qi, CH Lee, X Yin - Applied Energy, 2025 - Elsevier
Abstract The Power-to-methanol (PtMe) process faces significant challenges, including high
production costs, low energy efficiency, and a lack of systematic and applicable integrated …

A data-driven multi-objective optimization approach for enhanced methanol yield and exergy loss minimization in direct hydrogenation of CO2

A Samad, H Saghir, A Musawwir, I Ahmad… - Applied Thermal …, 2024 - Elsevier
The stability and control of process industries have historically faced obstacles due to
inherent uncertainties in their operations. This work focuses on leveraging machine learning …

Advanced Designs and Optimization for Efficiently Enhancing Shipboard CO2 Capture

DN Vo, X Zhang, KW Huang, X Yin - Industrial & Engineering …, 2024 - ACS Publications
Shipboard CO2 capture (SCC) processes face significant challenges, including high costs
and the need for extra heating energy to capture 90% of the CO2. Therefore, this study …