Development, Kinetic Analysis, and Economic Feasibility of Different Corn Stover-Driven Biorefineries to Produce Biohydrogen, Bioethanol, and Biomethane: A Comparative Analysis

Renewable Energy, Год журнала: 2024, Номер unknown, С. 121625 - 121625

Опубликована: Окт. 1, 2024

Язык: Английский

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Design and performance optimization of non-imaging concentrating photovoltaic thermal systems using grey relational analysis and response surface methodology

Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 126482 - 126482

Опубликована: Апрель 1, 2025

Язык: Английский

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

Energies, Год журнала: 2025, Номер 18(8), С. 2083 - 2083

Опубликована: Апрель 17, 2025

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

Язык: Английский

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Application of the ANN Method in the Network Recommendation Algorithm

Computer Science and Application, Год журнала: 2024, Номер 14(11), С. 107 - 118

Опубликована: Янв. 1, 2024

Язык: Английский

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