pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models

This paper presents a combination of three pre-processing tools that allow energy system modelers to define the number and shape of their model regions flexibly. Firstly, weather reanalysis data and other geographic maps are combined in pyGRETA to downscale wind and solar data and obtain renewable e...

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Autores principales:	Kais Siala, Leonhard Odersky
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Energy system modeling Spatial complexity Clustering Pre-processing Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/fcde4fc823a54cfd96bee962dcd810fa
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id	oai:doaj.org-article:fcde4fc823a54cfd96bee962dcd810fa
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spelling	oai:doaj.org-article:fcde4fc823a54cfd96bee962dcd810fa2021-11-12T04:41:44ZpyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models2352-711010.1016/j.softx.2021.100860https://doaj.org/article/fcde4fc823a54cfd96bee962dcd810fa2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352711021001333https://doaj.org/toc/2352-7110This paper presents a combination of three pre-processing tools that allow energy system modelers to define the number and shape of their model regions flexibly. Firstly, weather reanalysis data and other geographic maps are combined in pyGRETA to downscale wind and solar data and obtain renewable energy potential maps in high spatial resolution, while pyPRIMA can provide the spatial distribution of the energy demand and a pre-processed network of transmission lines. Secondly, the raster maps and the transmission grid are fed into pyCLARA to obtain a shapefile of regions with homogeneous characteristics. Thirdly, the obtained shapefile is used in pyGRETA to generate representative time series of renewable power generation, and in pyPRIMA to pre-process the rest of the data (power plants, demand, grid, etc.) to prepare input files for model frameworks. The three tools have a similar software architecture and are available in GitHub with an open source license and a detailed description. A minimal working example shows how they can operate together to ensure a high degree of modeling flexibility.Kais SialaLeonhard OderskyElsevierarticleEnergy system modelingSpatial complexityClusteringPre-processingComputer softwareQA76.75-76.765ENSoftwareX, Vol 16, Iss , Pp 100860- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy system modeling Spatial complexity Clustering Pre-processing Computer software QA76.75-76.765
spellingShingle	Energy system modeling Spatial complexity Clustering Pre-processing Computer software QA76.75-76.765 Kais Siala Leonhard Odersky pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models
description	This paper presents a combination of three pre-processing tools that allow energy system modelers to define the number and shape of their model regions flexibly. Firstly, weather reanalysis data and other geographic maps are combined in pyGRETA to downscale wind and solar data and obtain renewable energy potential maps in high spatial resolution, while pyPRIMA can provide the spatial distribution of the energy demand and a pre-processed network of transmission lines. Secondly, the raster maps and the transmission grid are fed into pyCLARA to obtain a shapefile of regions with homogeneous characteristics. Thirdly, the obtained shapefile is used in pyGRETA to generate representative time series of renewable power generation, and in pyPRIMA to pre-process the rest of the data (power plants, demand, grid, etc.) to prepare input files for model frameworks. The three tools have a similar software architecture and are available in GitHub with an open source license and a detailed description. A minimal working example shows how they can operate together to ensure a high degree of modeling flexibility.
format	article
author	Kais Siala Leonhard Odersky
author_facet	Kais Siala Leonhard Odersky
author_sort	Kais Siala
title	pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models
title_short	pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models
title_full	pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models
title_fullStr	pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models
title_full_unstemmed	pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models
title_sort	pygreta, pyclara, pyprima: a pre-processing suite to generate flexible model regions for energy system models
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/fcde4fc823a54cfd96bee962dcd810fa
work_keys_str_mv	AT kaissiala pygretapyclarapyprimaapreprocessingsuitetogenerateflexiblemodelregionsforenergysystemmodels AT leonhardodersky pygretapyclarapyprimaapreprocessingsuitetogenerateflexiblemodelregionsforenergysystemmodels
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pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models

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