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Energies
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Energies
Article . 2025
Data sources: DOAJ
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Next-Generation CSP: The Synergy of Nanofluids and Industry 4.0 for Sustainable Solar Energy Management

Authors: Mohamed Shameer Peer; Tsega Y. Melesse; Pier Francesco Orrù; Mattia Braggio; Mario Petrollese;

Next-Generation CSP: The Synergy of Nanofluids and Industry 4.0 for Sustainable Solar Energy Management

Abstract

The growing demand for efficient and sustainable energy solutions underscores the importance of advancing solar energy technologies, particularly Concentrated Solar Power (CSP) systems. This review presents a structured evaluation of two key innovation domains in CSP: the application of nanofluids and the adoption of Industry 4.0 technologies. The first part analyzes experimental and simulation-based studies on nanofluid-enhanced CSP systems, covering four major collector types—parabolic trough, solar power tower, solar dish, and Fresnel reflectors. Nanofluids have been shown to significantly enhance thermal efficiency, with hybrid formulations offering the greatest improvements. The second part examines the role of Industry 4.0 technologies—including artificial intelligence (AI), machine learning (ML), and digital twins (DT)—in improving CSP system monitoring, performance prediction, and operational reliability. Although a few recent studies explore the combined use of nanofluids and Industry 4.0 tools in CSP systems, most research addresses these areas independently. This review identifies this lack of integration as a gap in the current literature. By presenting separate yet complementary analyses, the study offers a comprehensive overview of emerging pathways for CSP optimization. Key research challenges and future directions are highlighted, particularly in nanofluid stability, system cost-efficiency, and digital implementation at scale.

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Keywords

Technology, nanofluids, machine learning, digital twin, T, Industry 4.0, artificial intelligence, nanofluids; concentrated solar power; Industry 4.0; artificial intelligence; digital twin; machine learning, concentrated solar power

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold
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