Facing the problems concerning greenhouse gas (GHG) emissions from international ocean shipping has meant that the latest regulations of the International Maritime Organization …
Modern machine learning (ML) techniques are making inroads in every aspect of renewable energy for optimization and model prediction. The effective utilization of ML techniques for …
The utilization of clean and renewable fuels has become increasingly significant in the power generation and transportation sectors. Dual-fuel engines that employ hydrogen and …
Conventional fossil fuels are being substituted with alternative green fuels because of their greenhouse gas emissions and pollution problems, which pose a severe threat to the …
The rapid depletion of fossil-derived fuels along with rising environmental pollution have motivated academics and manufacturers to pursue more environmentally friendly and …
VN Nguyen, P Sharma, L Rowinski… - Biofuels, Bioproducts …, 2024 - Wiley Online Library
Among the feasible options for valorizing lignocellulosic biomass into value‐added products, biochar is considered to be extremely appealing and it could be applied easily in …
The global supply chain has been growing strongly in recent years. This development brings many benefits to the economy, society, and human resources in each country but also …
Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy sources, including biomass, biofuels, engines, and solar power, can revolutionize the …
VG Nguyen, R Sirohi, MH Tran… - Energy & …, 2024 - journals.sagepub.com
Several issues such as sustainability, CO2 footprint, and energy supply security which primarily resulted from fossil fuel emissions have become the main concerns for analysts …