Parametric analysis and optimization of a novel photovoltaic trombe wall system with venetian blinds: Experimental and computational study

Kashif Irshad, Salem Algarni*, Nazrul Islam, Shafiqur Rehman, Md Hasan Zahir, Amjad Ali Pasha, S. Nadaraja Pillai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

This study investigates the parametric electrical and thermal performance of a novel photovoltaic trombe wall with a venetian blind system (PVTW-VB) in a semi-arid climatic conditions. A three-dimensional computational fluid dynamics (CFD) model is developed to determine the optimal parametric configuration for the PVTW-VB and is validated using experimental data. The experimental results indicated that the CFD model could accurately predict the operational performance of the PVTW-VB system. According to the findings, the VB spacing within the air gap, the VB angle, and the PVTW air flow rate should be 0.09 m, 60°, and 0.2 m/s, respectively. Additionally, PVTW-VB is compared with PVTW without VB. The average electrical power generation and PV panel surface temperature are found to be 8.6% higher and 3.2 °C lower in case of PVTW-VB configuration, respectively. Thermal regulation studies are conducted for three different test room configurations (i.e., a normal test room, test room with PVTW and test room with PVTW-VB). The study found that PVTW-VB system reduces the thermal load of the test room.

Original languageEnglish
Article number101958
JournalCase Studies in Thermal Engineering
Volume34
DOIs
StatePublished - Jun 2022

Bibliographical note

Publisher Copyright:
© 2022 The Authors.

Keywords

  • CFD
  • Electrical
  • Photovoltaic
  • Thermal
  • Trombe wall
  • Venetian blinds

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Fluid Flow and Transfer Processes

Fingerprint

Dive into the research topics of 'Parametric analysis and optimization of a novel photovoltaic trombe wall system with venetian blinds: Experimental and computational study'. Together they form a unique fingerprint.

Cite this