SolarSpatialTools: A Python package for spatial solarenergy analyses

Solar energy is a form of renewable energy whose resource (i.e., sunlight) is available on the earth's surface with a relatively low energy density.This type of resource inherently requires spatial distribution of collection infrastructure in order to achieve increased generation scale.This is true both in the case of distributed (e.g., rooftop solar) and centralized generation.As international responses to climate change promote growing interest in solar energy, there is a corresponding growth of interest in tools for working with distributed solar energy data that possesses these characteristics.This package, SolarSpatialTools, aims to contribute to that need by providing research codes for spatial analyses of solar energy data and resources.

Authors

Publication Details

Journal
The Journal of Open Source Software
Published
2024-09-16
DOI
https://doi.org/10.21105/joss.06984
Citations
1
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.35

Funders

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article

SolarSpatialTools: A Python package for spatial solarenergy analyses

Joseph Ranalli, William B. Hobbs
1 citations
The Journal of Open Source Software
Solar Radiation and Photovoltaics
0.35
article

SolarSpatialTools: A Python package for spatial solarenergy analyses

Joseph Ranalli, William B. Hobbs
article en
1 citations

Abstract

Solar energy is a form of renewable energy whose resource (i.e., sunlight) is available on the earth's surface with a relatively low energy density.This type of resource inherently requires spatial distribution of collection infrastructure in order to achieve increased generation scale.This is true both in the case of distributed (e.g., rooftop solar) and centralized generation.As international responses to climate change promote growing interest in solar energy, there is a corresponding growth of interest in tools for working with distributed solar energy data that possesses these characteristics.This package, SolarSpatialTools, aims to contribute to that need by providing research codes for spatial analyses of solar energy data and resources.

The Journal of Open Source SoftwareVol. 9(101)
University of Pennsylvania, Pennsylvania State University
Affordable and clean energy
Openalex Percentile: Top 33%
Solar Radiation and Photovoltaics
0.35
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