A comprehensive review of tyre wear particles: Formation, measurements, properties, and influencing factors
M Zhang, H Yin, J Tan, X Wang, Z Yang, L Hao… - Atmospheric …, 2023 - Elsevier
With the implementation of stringent emission regulations and the growth of electric vehicles,
more attention should be shifted to road traffic-derived non-exhaust emissions. Tyre wear …
more attention should be shifted to road traffic-derived non-exhaust emissions. Tyre wear …
Machine learning-based CFD simulations: a review, models, open threats, and future tactics
D Panchigar, K Kar, S Shukla, RM Mathew… - Neural Computing and …, 2022 - Springer
This review targets various scenarios where CFD could be used and the logical parts
needed for exemplary computations. The machine learning aspect with algorithms that have …
needed for exemplary computations. The machine learning aspect with algorithms that have …
Dense velocity reconstruction from particle image velocimetry/particle tracking velocimetry using a physics-informed neural network
The velocities measured by particle image velocimetry (PIV) and particle tracking
velocimetry (PTV) commonly provide sparse information on flow motions. A dense velocity …
velocimetry (PTV) commonly provide sparse information on flow motions. A dense velocity …
Artificial intelligence enabled efficient power generation and emissions reduction underpinning net-zero goal from the coal-based power plants
A large power generation facility is a complex multi-criteria system associated with
multivariate couplings, high dependency, and non-linearity among the operating variables …
multivariate couplings, high dependency, and non-linearity among the operating variables …
[PDF][PDF] Optimization of a 660 MW e supercritical power plant performance—a case of industry 4.0 in the data-driven operational management part 1. Thermal efficiency
This paper presents a comprehensive step-wise methodology for implementing industry 4.0
in a functional coal power plant. The overall efficiency of a 660 MWe supercritical coal-fired …
in a functional coal power plant. The overall efficiency of a 660 MWe supercritical coal-fired …
[HTML][HTML] Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing
The vibrations of bearings holding the high-speed shaft of a steam turbine are critically
controlled for the safe and reliable power generation at the power plants. In this paper, two …
controlled for the safe and reliable power generation at the power plants. In this paper, two …
Artificial intelligence modeling-based optimization of an industrial-scale steam turbine for moving toward net-zero in the energy sector
Augmentation of energy efficiency in the power generation systems can aid in decarbonizing
the energy sector, which is also recognized by the International Energy Agency (IEA) as a …
the energy sector, which is also recognized by the International Energy Agency (IEA) as a …
Artificial intelligence-based emission reduction strategy for limestone forced oxidation flue gas desulfurization system
The emissions from coal power plants have serious implication on the environment
protection, and there is an increasing effort around the globe to control these emissions by …
protection, and there is an increasing effort around the globe to control these emissions by …
Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management. Part 2. Power Generation
W Muhammad Ashraf, G Moeen Uddin… - Energies, 2020 - mdpi.com
Modern data analytics techniques and computationally inexpensive software tools are
fueling the commercial applications of data-driven decision making and process …
fueling the commercial applications of data-driven decision making and process …
Optimisation led energy-efficient arsenite and arsenate adsorption on various materials with machine learning
The contamination of water by arsenic (As) poses a substantial environmental challenge
with far-reaching influence on human health. Accurately predicting adsorption capacities of …
with far-reaching influence on human health. Accurately predicting adsorption capacities of …