About this Research Topic
It is therefore of paramount importance to develop processes that will integrate emerging technologies, based on process intensification, artificial intelligence, and machine learning. These technologies are particularly valuable to sectors where financial, practical, and safety margins for uncertainty are low. Automated intensified technologies can increase the eco-efficiency of the process, reduce capital cost and footprint, alleviate challenges associated with production costs and downstream processing, and increase safety. This Research Topic aims to present the most promising approaches (experimental, theoretical, modeling) in the area of intensified clean energy production that offer cost-effective and energy-efficient solutions.
We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:
• Intensified reactor technologies
• Small-scale continuous-flow systems
• Biofuel production from waste biomass
• Decarbonization strategies for industrial process
• Concentrated solar power (CSP) technologies
• Application of PI in nuclear waste management
• Multiscale modeling, simulation, automation, and optimization techniques
• Green hydrogen production
• CO2 utilization for sustainable fuels.
Keywords: process intensification, clean energy, optimization, advanced conversion technologies, process automation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.