The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/136d3808-cb58-4276-8d5b-4a4e2cd5e38c

Zhou, Yilong (2025): Code for evaluating albedo change and radiative forcing from roof PV integration in Delft. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/136d3808-cb58-4276-8d5b-4a4e2cd5e38c.v1

Categories

• Urban and Regional Planning
• Computer Software
• Physical Geography and Environmental Geoscience
• Renewable Energy
• Climate and Climate Change
• Earth Sciences
• Built Environment and Design
• Energy
• Information and Computing Sciences
• Environment

Keywords

albedo simulation large-scale simulation radiative forcing urban solar photovoltaics

Licence

BSD-3-Clause

Interoperability

• RO-Crate Metadata

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by Yilong Zhou

Data and MATLAB code for evaluating albedo change and radiative forcing from roof PV integration in Delft.

This dataset contains the data and scripts created for the project studying the impacts of urban photovoltaic (PV) integration on radiative forcing. The objective of this research is to employ a high-resolution approach to quantify both positive and negative RF effects of distributed urban rooftop PV systems with open-source LiDAR and geo-referenced material data. The city of Delft is used as a study case. The scripts are divided into three parts:

1. Albedo simulation before and after PV integration;

2. Annual PV energy calculation;

3. Positive and negative radiative forcing calculation.

Unzip the file and read 'README.txt'.

History

• 2025-06-02 first online, published, posted

Publisher

4TU.ResearchData

Format

MATLAB/.m, information/.txt, data/.xlsx, data/.mat, polygons/.shp, Digital surface model/.tif

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Electrical Sustainable Energy, Photovoltaic Materials and Devices (PVMD) group