The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Dataset supporting the thesis "Towards Sustainable IoT Deployment: Evaluating Photovoltaic Performance Under Dust Exposure in Desert Climates"

Dataset supporting the thesis "Towards Sustainable IoT Deployment: Evaluating Photovoltaic Performance Under Dust Exposure in Desert Climates"
Dataset supporting the thesis "Towards Sustainable IoT Deployment: Evaluating Photovoltaic Performance Under Dust Exposure in Desert Climates"
Dataset supporting the thesis "Towards Sustainable IoT Deployment: Evaluating Photovoltaic Performance Under Dust Exposure in Desert Climates". This dataset evaluates the performance of photovoltaic (PV) modules with different tilt angles under varying environmental conditions, focusing on the impact of dust accumulation in desert environments. It includes power output measurements for clean and dusty modules. The data is presented in .xlsx file that support figures in the thesis.
University of Southampton
Alzahrani, Mansour
149068df-d0fe-411f-bae8-41c9b00fefd9
Alzahrani, Mansour
149068df-d0fe-411f-bae8-41c9b00fefd9

Alzahrani, Mansour (2025) Dataset supporting the thesis "Towards Sustainable IoT Deployment: Evaluating Photovoltaic Performance Under Dust Exposure in Desert Climates". University of Southampton doi:10.5258/SOTON/D3665 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the thesis "Towards Sustainable IoT Deployment: Evaluating Photovoltaic Performance Under Dust Exposure in Desert Climates". This dataset evaluates the performance of photovoltaic (PV) modules with different tilt angles under varying environmental conditions, focusing on the impact of dust accumulation in desert environments. It includes power output measurements for clean and dusty modules. The data is presented in .xlsx file that support figures in the thesis.

Spreadsheet
DailyPower_TiltAngles.xlsx - Dataset
Download (80kB)
Text
README.txt - Dataset
Available under License Creative Commons Attribution.
Download (1kB)

More information

Published date: 12 September 2025
Learn more about School of Electronics and Computer Science research

Identifiers

Local EPrints ID: 504530
URI: http://eprints.soton.ac.uk/id/eprint/504530
DOI: doi:10.5258/SOTON/D3665
PURE UUID: d8241679-5139-47ef-8c73-39e3a955ec88
ORCID for Mansour Alzahrani: ORCID iD orcid.org/0000-0002-0458-773X

Catalogue record

Date deposited: 12 Sep 2025 16:52
Last modified: 13 Sep 2025 02:20

Export record

Altmetrics

Contributors

Creator: Mansour Alzahrani ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×