Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

Energy & Fuels, Journal Year: 2022, Volume and Issue: 36(13), P. 6626 - 6658

Published: June 13, 2022

Nanofluids have gained significant popularity in the field of sustainable and renewable energy systems. The heat transfer capacity working fluid has a huge impact on efficiency system. addition small amount high thermal conductivity solid nanoparticles to base improves transfer. Even though large research data is available literature, some results are contradictory. Many influencing factors, as well nonlinearity refutations, make nanofluid highly challenging obstruct its potentially valuable uses. On other hand, data-driven machine learning techniques would be very useful for forecasting thermophysical features rate, identifying most influential assessing efficiencies different primary aim this review study look at applications employed nanofluid-based system, reveal new developments research. A variety modern algorithms studies systems examined, along with their advantages disadvantages. Artificial neural networks-based model prediction using contemporary commercial software simple develop popular. prognostic may further improved by combining marine predator algorithm, genetic swarm intelligence optimization, intelligent optimization approaches. In well-known networks fuzzy- gene-based techniques, newer ensemble such Boosted regression K-means, K-nearest neighbor (KNN), CatBoost, XGBoost gaining due architectures adaptabilities diverse types. regularly used fuzzy-based mostly black-box methods, user having little or no understanding how they function. This reason concern, ethical artificial required.

Language: Английский

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Heat transport study of ternary hybrid nanofluid flow under magnetic dipole together with nonlinear thermal radiation

Applied Nanoscience, Journal Year: 2022, Volume and Issue: 12(9), P. 2777 - 2788

Published: Aug. 3, 2022

Language: Английский

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Micro/nano-encapsulated phase-change materials (ePCMs) for solar photothermal absorption and storage: Fundamentals, recent advances, and future directions

Progress in Energy and Combustion Science, Journal Year: 2022, Volume and Issue: 93, P. 101037 - 101037

Published: Sept. 12, 2022

Language: Английский

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Progress in research and development of phase change materials for thermal energy storage in concentrated solar power

Applied Thermal Engineering, Journal Year: 2022, Volume and Issue: 219, P. 119546 - 119546

Published: Oct. 26, 2022

Concentrated solar power (CSP) technologies are seen to be one of the most promising ways generate electric in coming decades. However, due unstable and intermittent nature energy availability, key factors that determine development CSP technology is integration efficient cost-effective thermal storage (TES) systems. Sensible heat TES system widespread commercial plants, however, requirement high specific material, large size bigger temperature difference between transfer fluid sensible systems suffer from a low density degradation during discharging. In this context, over past ten years, interest phase change materials (PCM) has resurfaced considerably, mainly motivated for deployment latent application utilizes PCM. Though there have been some review studies on PCM however these either 5 years old or give general overview plants. To bridge gap, work presents comprehensive actual state all major components cutting-edge based condenses available information categorizes them considering main functional parts remarking current research progress each part as well future challenging issues. It intends understand explain foundations innovative concepts, directions strategies developed 10 tune engineering sciences Insight into classes with details like their geometrical configurations, design parameters, physical properties, operational issues, cost, readiness level, suitability comparative assessment various provided.

Language: Английский

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Polymer engineering in phase change thermal storage materials

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 188, P. 113814 - 113814

Published: Oct. 12, 2023

Language: Английский

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Nano-enhanced phase change materials: Fundamentals and applications

Progress in Energy and Combustion Science, Journal Year: 2024, Volume and Issue: 104, P. 101162 - 101162

Published: June 17, 2024

Language: Английский

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PCM-assisted energy storage systems for solar-thermal applications: Review of the associated problems and their mitigation strategies

Journal of Energy Storage, Journal Year: 2023, Volume and Issue: 69, P. 107912 - 107912

Published: June 13, 2023

Language: Английский

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Optimizing renewable energy systems through artificial intelligence: Review and future prospects

Energy & Environment, Journal Year: 2024, Volume and Issue: 35(7), P. 3833 - 3879

Published: May 22, 2024

The global transition toward sustainable energy sources has prompted a surge in the integration of renewable systems (RES) into existing power grids. To improve efficiency, reliability, and economic viability these systems, synergistic application artificial intelligence (AI) methods emerged as promising avenue. This study presents comprehensive review current state research at intersection AI, highlighting key methodologies, challenges, achievements. It covers spectrum AI utilizations optimizing different facets RES, including resource assessment, forecasting, system monitoring, control strategies, grid integration. Machine learning algorithms, neural networks, optimization techniques are explored for their role complex data sets, enhancing predictive capabilities, dynamically adapting RES. Furthermore, discusses challenges faced implementation such variability, model interpretability, real-time adaptability. potential benefits overcoming include increased yield, reduced operational costs, improved stability. concludes with an exploration prospects emerging trends field. Anticipated advancements explainable reinforcement learning, edge computing, discussed context impact on Additionally, paper envisions AI-driven solutions smart grids, decentralized development autonomous management systems. investigation provides important insights landscape applications

Language: Английский

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Adaptive dynamic building envelope integrated with phase change material to enhance the heat storage and release efficiency: A state-of-the-art review

Energy and Buildings, Journal Year: 2023, Volume and Issue: 286, P. 112928 - 112928

Published: Feb. 24, 2023

Language: Английский

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Advancements and comprehensive overview of thermal management systems for lithium-ion batteries: Nanofluids and phase change materials approaches

Journal of Power Sources, Journal Year: 2024, Volume and Issue: 603, P. 234382 - 234382

Published: March 30, 2024

Language: Английский

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