Quality attributes such as moisture content, colour parameters and shrinkage of apples change undesirably during the drying process.
This article supports SDGs 7 and 9 by creating a digital twin model of batteries via combining emerging machine learning technologies and battery modeling, achieving more intelligent control and longer battery life, providing key technologies for establishing an intelligent battery management framework in the future.
This article supports SDGs 7 and 9 by introducing the application of PEM fuel cells in different fields and the current status of related technologies, and it proposed that machine learning and artificial intelligence have important potential in optimizing the design, control, cost reduction, durability improvement, and monitoring operational health of fuel cells.
The new European Commission plans to raise the greenhouse gas (GHG) emissions reduction target from 40% towards 55% by 2030 and make Europe the first climate-neutral continent by 2050.
Pathways towards a defossilated sustainable power system for West Africa within the time horizon of 2015–2050 is researched, by applying linear optimisation modelling to determine the cost optimal
To be socially accepted widely, the emerging circular bioeconomy needs to rely increasingly on residual bio-based feedstock and waste, hence reducing its dependency on crops which are in competition w
Purpose and setting: Infrastructure is a global multi-trillion dollar market presenting many opportunities and risks for sustainable development.
The process industries have been facing ever increasing pressure in the monitoring and control of gaseous pollutants such as volatile organic compounds and hazardous air pollutants.
Bio-based aerogels with customizable porosities and functionalities constitute a significant potential for CO2 capture.
The successful conversion of lignocellulose into value-added products depends on overcoming the recalcitrance of its structure towards enzymatic digestion.
