البريد الالكتروني

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رقم الهاتف

6163

العودة إلى الملف الشخصي
زينب محمد حمزه

بحوث سكوبس — زينب محمد حمزه

تكنولوجيا المعلومات • شبكات

1 إجمالي البحوث
13 إجمالي الاستشهادات
2024 أحدث نشر
1 أنواع المنشورات
عرض 1 بحث
2024
1 بحث
Li L.; Hassan W.H.; Mohammed A.A.; Montufar P.; AL-maamori Z.M.; Sultan A.J.; Salahshour S.; Esmaeili S.
International Communications in Heat and Mass Transfer , Vol. 157
13 استشهاد Article English ISSN: 07351933
Hebei Vocational University of Technology and Engineering, Hebei, Xingtai, 054035, China; University of Warith Al-Anbiyaa, Kerbala, 56001, Iraq; Department of Civil Engineering, College of Engineering, University of Kerbala, Kerbala, 56001, Iraq; Department of medical devices technology engineering, Al-Amarah University College, Maysan, Iraq; Facultad de Mecánica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Panamericana Sur km. 1½, Riobamba, 060155, Ecuador; Scientific Affairs Department, Al-Mustaqbal University, Babylon, 51001, Iraq; Department of Chemical Engineering, University of Technology- Iraq, Baghdad, Iraq; Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey; Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey; Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon; Faculty of Physics, Semnan University, P.O. Box: 35195-363, Semnan, Iran
Photovoltaic thermal (PVT) systems offer an attractive prospect to produce thermal and electricity powers when used as the building envelope. The present numerical analysis is performed intending to evaluate the thermal, electrical, and overall efficiencies of a PVT unit with a corrugated serpentine absorber tube filled with the A2O3/water nanofluid. The influence of Reynolds number (Re) and nanoparticle concentration (ω) on the performance metrics of the system is analyzed. The result indicated that within the ω range of 0–1%, the increment in Re from 500 to 2000 diminishes the PV panel temperature by 3.13–3.32%, while pressure drop boosts by 5480.95–5580.06%. The increase in ω from 0% to 1%, however, declines the PV panel temperature and pumping power by 0.43–0.62% and 1.25–2.97%, respectively. The range of changes in the overall efficiency was 60.38–90.45%, the maximum and minimum of which belong to Re = 2000&ω=1% and Re = 500&ω=0%, respectively. The results of artificial neural network (ANN) modeling presented an accurate function for estimation of the overall efficiency of the studied PVT unit based on the Re and ω with the R-squared coefficient of determination of R2 = 0.99602. © 2024 Elsevier Ltd
الكلمات المفتاحية: Artificial neural network Nanofluid Numerical analysis Overall efficiency Photovoltaic thermal system