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 …
[HTML][HTML] Machine learning based modelling and optimization of post-combustion carbon capture process using MEA supporting carbon neutrality
WM Ashraf, V Dua - Digital Chemical Engineering, 2023 - Elsevier
The role of carbon capture technology using monoethanolamine (MEA) is critical for
achieving the carbon-neutrality goal. However, maintaining the efficient operation of the post …
achieving the carbon-neutrality goal. However, maintaining the efficient operation of the post …
[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 …
Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach
Power plant heat rate is a plant level performance parameter that indicates the economy of
power production, equipment's safety, and availability. In this paper, seven operating …
power production, equipment's safety, and availability. In this paper, seven operating …
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–built analysis framework for the manufacturing sector: performance optimization of wire electric discharge machining system
In the era of industry 4.0, digitalization and smart operation of industrial systems contribute to
higher productivity, improved quality, and efficient resource utilization for industrial …
higher productivity, improved quality, and efficient resource utilization for industrial …
Artificial intelligence for energy processes and systems: applications and perspectives
D Skrobek, J Krzywanski, M Sosnowski, GM Uddin… - Energies, 2023 - mdpi.com
In recent years, artificial intelligence has become increasingly popular and is more often
used by scientists and entrepreneurs. The rapid development of electronics and computer …
used by scientists and entrepreneurs. The rapid development of electronics and computer …
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 …
Neural networks assisted computational aero-acoustic analysis of an isolated tire
The computational aero-acoustic study of an isolated passenger car tire is carried out to
understand the effect of dimensions of longitudinal tire grooves and operational parameters …
understand the effect of dimensions of longitudinal tire grooves and operational parameters …