READ ME File For Dataset for "Evaluating the opportunities and challenges of domestic PV installation in Saudi Arabia based on field deployment in Jeddah"

Dataset DOI: 10.5258/SOTON/D3503

Date that the file was created: May, 2025

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GENERAL INFORMATION
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ReadMe Author: Luke BLUNDEN, University of Southampton https://orcid.org/0000-0002-0046-5508

This dataset supports the publication:
Alghamdi, A.; Blunden, L.S.; Alam, M.; Bahaj, A.S.; James, P.A.B. "Evaluating the Opportunities and Challenges of Domestic PV Installation in Saudi Arabia Based on Field Deployment in Jeddah". Energies 2025, 18, x.

Please cite the paper above if you use the data for publications - many thanks.

LICENCE: CC-BY (https://creativecommons.org/licenses/by/4.0/)

Date of data collection: 2019-2024

Information about geographic location of data collection: Jeddah, Saudi Arabia

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DATA & FILE OVERVIEW
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The zip file contains the following files:
- "AlghamdiEtAl2025FiguresTables.rmd": R Markdown script for reproducing analysis and graphs
- "JeddahPV.xlsx": Excel spreadsheet containing data on PV performance, weather and billing
- "met.csv": Comma delimited file of weather data from solar carport at KAU, Jeddah. (c. million lines) See ref [64] in the paper for more details 
- "AlghamdiEtAl2025FiguresTables.html": Compiled R Markdown html file 

In order to run the R Markdown script, you need to install R and then RStudio, and the following libraries:
- readxl
- dplyr
- magrittr
- ggplot2
- purrr
- lubridate
- tidyr
- plotly
- paletteer
- stargazer
- htmltools
- scales
- FinancialMath
- sjPlot
- kableExtra