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  • Open Access

    ARTICLE

    Data-Driven Approach for Condition Monitoring and Improving Power Output of Photovoltaic Systems

    Nebras M. Sobahi1,*, Ahteshamul Haque2, V S Bharath Kurukuru2, Md. Mottahir Alam1, Asif Irshad Khan3

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5757-5776, 2023, DOI:10.32604/cmc.2022.028340

    Abstract Increasing renewable energy targets globally has raised the requirement for the efficient and profitable operation of solar photovoltaic (PV) systems. In light of this requirement, this paper provides a path for evaluating the operating condition and improving the power output of the PV system in a grid integrated environment. To achieve this, different types of faults in grid-connected PV systems (GCPVs) and their impact on the energy loss associated with the electrical network are analyzed. A data-driven approach using neural networks (NNs) is proposed to achieve root cause analysis and localize the fault to the component level in the system.… More >

  • Open Access

    ARTICLE

    Performance Analysis of an Organic Rankine Cycle with a Preheated Ejector

    Kaiyong Hu1,*, Yumeng Zhang1, Tianrun Zhang1, Dequan Zhang2,*, Zhaoxian Yang3

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 1183-1193, 2022, DOI:10.32604/fdmp.2022.019787

    Abstract The so-called organic Rankine cycle (ORC) is an effective technology allowing heat recovery from lower temperature sources. In the present study, to improve its thermal efficiency, a preheated ejector using exhaust steam coming from the expander is integrated in the cycle (EPORC). Considering net power output, pump power, and thermal efficiency, the proposed system is compared with the basic ORC. The influence of the ejector ratio (ER) of the preheated ejector on the system performances is also investigated. Results show that the net power output of the EPORC is higher than that of the basic ORC due to the decreasing… More >

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