Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities

Z Jan, F Ahamed, W Mayer, N Patel… - Expert Systems with …, 2023 - Elsevier
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …

Digitalization business strategies in energy sector: Solving problems with uncertainty under industry 4.0 conditions

R Trzaska, A Sulich, M Organa, J Niemczyk, B Jasiński - Energies, 2021 - mdpi.com
Digital transformation is a concept based on the use of digitalization and digitization.
Digitalization leads to change of business models and provides a competitive advantage …

Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: support vector …

ME Zayed, AE Kabeel, B Shboul, WM Ashraf… - Journal of Energy …, 2023 - Elsevier
At present, artificial intelligence methods have been effectively utilized for predicting the
complex performance of storage-based solar thermal technologies for cooling/heating …

Artificial intelligence enabled efficient power generation and emissions reduction underpinning net-zero goal from the coal-based power plants

WM Ashraf, GM Uddin, HA Ahmad, MA Jamil… - Energy Conversion and …, 2022 - Elsevier
A large power generation facility is a complex multi-criteria system associated with
multivariate couplings, high dependency, and non-linearity among the operating variables …

Advancing sustainable thermal power generation: insights from recent energy and exergy studies

M Elwardany, AM Nassib, HA Mohamed - Process Safety and …, 2024 - Elsevier
Thermal power plants are pivotal in meeting global energy demands, yet enhancing their
efficiency and sustainability remains an enduring challenge. While previous studies have …

[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 …

Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach

WM Ashraf, GM Uddin, SM Arafat, J Krzywanski… - Energy Conversion and …, 2021 - Elsevier
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 …

Acetone–Gasoline blend as an alternative fuel in SI engines: a novel comparison of performance, emission, and lube oil degradation

M Usman, T Khan, F Riaz, MA Ijaz Malik, MT Amjad… - ACS …, 2023 - ACS Publications
The disproportionate use of petroleum products and stringent exhaust emissions has
emphasized the need for alternative green fuels. Although several studies have been …

[HTML][HTML] Machine learning-based process design of a novel sustainable cooling system

MA Jamil, WM Ashraf, N Imtiaz, BB Xu… - Energy Conversion and …, 2024 - Elsevier
An exponential rise in cooling requirements occurred in the last few years because of rising
global surface temperatures, population growth, faster urbanization, and income growth …

Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data.

CF de Lima Munguba, GNP Leite, FC Farias… - … Applications of Artificial …, 2024 - Elsevier
Anomalies in wind turbines pose significant risks of costly downtime and maintenance,
underscoring the importance of early detection for reliable operation. However, conventional …