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Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
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 …
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
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 …
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 …
At present, artificial intelligence methods have been effectively utilized for predicting the
complex performance of storage-based solar thermal technologies for cooling/heating …
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
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 …
Advancing sustainable thermal power generation: insights from recent energy and exergy studies
Thermal power plants are pivotal in meeting global energy demands, yet enhancing their
efficiency and sustainability remains an enduring challenge. While previous studies have …
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 …
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
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 …
Acetone–Gasoline blend as an alternative fuel in SI engines: a novel comparison of performance, emission, and lube oil degradation
The disproportionate use of petroleum products and stringent exhaust emissions has
emphasized the need for alternative green fuels. Although several studies have been …
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
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 …
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.
Anomalies in wind turbines pose significant risks of costly downtime and maintenance,
underscoring the importance of early detection for reliable operation. However, conventional …
underscoring the importance of early detection for reliable operation. However, conventional …