Validation Study of Photovoltaic Thermal Nanofluid Based Coolant Using Computational Fluid Dynamics Approach

Mohd Afzanizam  Mohd Rosli; Yew Wai Loon; Muhammad Zaid  Nawam; Suhaimi  Misha; Aiman  Roslizar; Faridah  Hussain; Nurfaizey  Abdul Hamid; Zainal  Arifin; Safarudin Gazali  Herawan

doi:10.37934/cfdl.13.3.5871

Authors

Mohd Afzanizam Mohd Rosli Centre for Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
Yew Wai Loon Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
Muhammad Zaid Nawam Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
Suhaimi Misha Centre for Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
Aiman Roslizar Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
Faridah Hussain National Metrology Laboratory, SIRIM Berhad, 43900 Sepang, Selangor, Malaysia
Nurfaizey Abdul Hamid Centre for Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100, Durian Tunggal, Melaka, Malaysia
Zainal Arifin Department of Mechanical Engineering, Sebelas Maret University, Jl. Ir. Sutami 36A, Surakarta, Indonesia
Safarudin Gazali Herawan Industrial Engineering Department, Faculty of Engineering, Bina Nusantara University, Jakarta, Indonesia

DOI:

https://doi.org/10.37934/cfdl.13.3.5871

Keywords:

Photovoltaic Thermal System, Computational Fluid Dynamics, Nanofluid coolant

Abstract

In the study, the photovoltaic thermal system using nanofluid as coolant is validated using numerical approach by comparing the experimental results and simulation results. Due to high cost and difficulty in preparing nanofluid, it is more practical to perform the study using numerical approach which is convenient and saves plenty of time. The photovoltaic thermal system is investigated numerically through Computational Fluid Dynamics Approach using Ansys 19.0 Fluent Software. The numerical study is based on different solar irradiation at different hours. The coolant that is selected in the study is aluminum oxide () water nanofluid. The validation study between the experimental results and simulation results are achieved by examining the photovoltaic (PV) surface temperature and nanofluid outlet temperature. The maximum percentage of error between experimental and simulation results of PV surface temperature and nanofluid outlet temperature are 12.66% and 7.89%. Also, the mean average percentage error (MAPE) are computed for PV surface temperature and nanofluid outlet temperature. The results for PV surface temperature and nanofluid outlet temperature are 10.31% and 6.67%. Since the MAPE results are within 10% or error, it proved that there is good accuracy between the simulation and experimental results.

References

Acikgoz, Caglayan. "Renewable energy education in Turkey." Renewable Energy 36, no. 2 (2011): 608-611. https://doi.org/10.1016/j.renene.2010.08.015

Novakovic, Bora, Adel Nasiri, and Muhammad H. Rashid. "Introduction to electrical energy systems." Electric renewable energy systems 1 (2015). https://doi.org/10.1016/B978-0-12-804448-3.00001-3

Enerdata. "Total Energy Consumption." (2020).

Razali, Nur Farhana Mohd, Ahmad Fudholi, Mohd Hafidz Ruslan, and Kamaruzzaman Sopian. "Electrical Characteristics of Photovoltaic Thermal Collector with Water–Titania Nanofluid Flow." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 73, no. 2 (2020): 20-28. https://doi.org/10.37934/arfmts.73.2.2028

Sardarabadi, Mohammad, and Mohammad Passandideh-Fard. "Experimental and numerical study of metal-oxides/water nanofluids as coolant in photovoltaic thermal systems (PVT)." Solar Energy Materials and Solar Cells 157 (2016): 533-542. https://doi.org/10.1016/j.solmat.2016.07.008

Jin, G. O. H. L. I., Hafidz Ruslan, S. O. H. I. F. Mat, MOHD YUSOF Othman, Azami Zaharim, and Kamaruzzaman Sopian. "Experiment study on single-pass photovoltaic-thermal (PV/T) air collector with absorber." In 9th WSEAS International Conference on System Science and Simulation in Engineering, ICOSSSE, vol. 10, pp. 435-438. 2010.

Slimani, Mohamed El Amine, Madjid Amirat, Sofiane Bahria, Ildikó Kurucz, and Rabah Sellami. "Study and modeling of energy performance of a hybrid photovoltaic/thermal solar collector: Configuration suitable for an indirect solar dryer." Energy conversion and management 125 (2016): 209-221. https://doi.org/10.1016/j.enconman.2016.03.059

Mahian, Omid, Ali Kianifar, Soteris A. Kalogirou, Ioan Pop, and Somchai Wongwises. "A review of the applications of nanofluids in solar energy." International Journal of Heat and Mass Transfer 57, no. 2 (2013): 582-594. https://doi.org/10.1016/j.ijheatmasstransfer.2012.10.037

Liu, Zhen-Hua, Ren-Lin Hu, Lin Lu, Feng Zhao, and Hong-shen Xiao. "Thermal performance of an open thermosyphon using nanofluid for evacuated tubular high temperature air solar collector." Energy Conversion and Management 73 (2013): 135-143. https://doi.org/10.1016/j.enconman.2013.04.010

Fudholi, Ahmad, Nur Farhana Mohd Razali, Mohd Hafidz Ruslan, and Kamaruzzaman Sopian. "Application of Nanofluids for Photovoltaic Thermal (PVT) Collectors: A Review." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 74, no. 1 (2020): 35-44. https://doi.org/10.37934/arfmts.74.1.3544

Khanjari, Y., F. Pourfayaz, and A. B. Kasaeian. "Numerical investigation on using of nanofluid in a water-cooled photovoltaic thermal system." Energy Conversion and Management 122 (2016): 263-278. https://doi.org/10.1016/j.enconman.2016.05.083

Hosseinzadeh, Mohammad, Ali Salari, Mohammad Sardarabadi, and Mohammad Passandideh-Fard. "Optimization and parametric analysis of a nanofluid based photovoltaic thermal system: 3D numerical model with experimental validation." Energy Conversion and Management 160 (2018): 93-108. https://doi.org/10.1016/j.enconman.2018.01.006

Khelifa, A., K. Touafek, H. Ben Moussa, and I. Tabet. "Modeling and detailed study of hybrid photovoltaic thermal (PV/T) solar collector." Solar Energy 135 (2016): 169-176. https://doi.org/10.1016/j.solener.2016.05.048

Maadi, Seyed Reza, Meysam Khatibi, Ehsan Ebrahimnia-Bajestan, and David Wood. "Coupled thermal-optical numerical modeling of PV/T module–Combining CFD approach and two-band radiation DO model." Energy Conversion and Management 198 (2019): 111781. https://doi.org/10.1016/j.enconman.2019.111781

Abdullah, Amira Lateef, S. Misha, N. Tamaldin, M. A. M. Rosli, and F. A. Sachit. "Theoretical study and indoor experimental validation of performance of the new photovoltaic thermal solar collector (PVT) based water system." Case Studies in Thermal Engineering 18 (2020): 100595. https://doi.org/10.1016/j.csite.2020.100595

Filipovi?, Petar, Damir Dovi?, Borjan Ranilovi?, and Ivan Horvat. "Numerical and experimental approach for evaluation of thermal performances of a polymer solar collector." Renewable and Sustainable Energy Reviews 112 (2019): 127-139. https://doi.org/10.1016/j.rser.2019.05.023

Hussain, M. Imtiaz, Jin-Hee Kim, and Jun-Tae Kim. "Nanofluid-powered dual-fluid photovoltaic/thermal (pv/t) system: Comparative numerical study." Energies 12, no. 5 (2019): 775. https://doi.org/10.3390/en12050775

Khanjari, Y., A. B. Kasaeian, and F. Pourfayaz. "Evaluating the environmental parameters affecting the performance of photovoltaic thermal system using nanofluid." Applied Thermal Engineering 115 (2017): 178-187. https://doi.org/10.1016/j.applthermaleng.2016.12.104

Misha, S., Amira Lateef Abdullah, N. Tamaldin, M. A. M. Rosli, and F. A. Sachit. "Simulation CFD and experimental investigation of PVT water system under natural Malaysian weather conditions." Energy Reports (2019). https://doi.org/10.1016/j.egyr.2019.11.162

Gunjo, Dawit Gudeta, Pinakeswar Mahanta, and Puthuveettil Sreedharan Robi. "Exergy and energy analysis of a novel type solar collector under steady state condition: Experimental and CFD analysis." Renewable Energy 114 (2017): 655-669. https://doi.org/10.1016/j.renene.2017.07.072