Increasing the efficiency of PV panel with the use of PCM

By R. Stropnik, U. Stritih. 2016

441 citations recorded by the source corpus.

Subfields: Mechanical Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/1b69200bd2f6904e693458f597c901df50363a50

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. S. Mat
2. G. Kokogianakis
3. Ali H. A. Al-Waeli
4. Kamaruzzaman Sopian
5. John Kaiser Calautit
6. D. Du
7. J. Darkwa
8. H. Kazem

In Renewable Energy, Sustainability and the Environment

1. Ali H. A. Al-Waeli
2. M. Chaichan
3. H. Kazem
4. S. Mat
5. G. Kokogianakis
6. M. H. Ruslan
7. Kamaruzzaman Sopian
8. John Kaiser Calautit

Citations in the corpus

• Comparison of prediction methods of PV/T nanofluid and nano-PCM system using a measured dataset and artificial neural network (2018, background): “Recently, various studies have been conducted within the field of PCM/PV and PCM/PVT (Gaur et al., 2017; Browne et al., 2016; Hasan et al., 2010, 2014; Biwole et al., 2011; Kazanci et al., 2014; Qiu et al., 2015; Fiorentini et al., 2015; Stropnik and Stritih, 2016).”
• A numerical and experimental analysis of an integrated TEG-PCM power enhancement system for photovoltaic cells (2019, background): “Stropnik and Stritih [21] carried out theoretical and experimental evaluation of a PV/ PCM panel cooling system.”