Data and Code supporting the paper titled SOLARIS: A Strategic Actor-Oriented Framework for Enabling the Large-Scale Deployment of Photovoltaic Energy Systems in Urban Areas.
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| Title: | Data and Code supporting the paper titled SOLARIS: A Strategic Actor-Oriented Framework for Enabling the Large-Scale Deployment of Photovoltaic Energy Systems in Urban Areas. |
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| Authors: | Arthllan Oliveira de Sousa, Joyce |
| Publisher Information: | Zenodo |
| Publication Year: | 2024 |
| Collection: | Zenodo |
| Description: | In this repository, you will find the following resources: I) Layers of Datasets: The available datasets (OCEN_SOLAIRE_PV_BATIMENT and OCEN_SOLAIRE_IRR_SURFACE_UTILE) from the Système d'Information du Territoire à Genève (SITG), which have been processed and utilized in the analysis. II) Python Code: The Jupyter Notebook titled GREAT_GENEVA_DEPLOYMENT_GOALS-ALL_BUILDINGS.ipynb, which includes the code used to estimate the photovoltaic (PV) deployment goals for each macro-region within the Greater Geneva Area. These regions include GE (Canton of Geneva), F (French cross-border region), and VD (District of Nyon in the Canton of Vaud). III) Metadata: Detailed explanations of the variables used in the code, as well as datasets generated for fictional buildings. This section includes guidelines on how to utilize the designed KPIs that support the SOLARIS framework. IV) Supplementary Information: Additional insights from the findings of the Systematic Literature Review (SLR) and its structure. |
| Document Type: | text |
| Language: | unknown |
| Relation: | https://zenodo.org/records/13840995; oai:zenodo.org:13840995; https://doi.org/10.5281/zenodo.13840995 |
| DOI: | 10.5281/zenodo.13840995 |
| Availability: | https://doi.org/10.5281/zenodo.13840995 https://zenodo.org/records/13840995 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: | edsbas.D39EC52D |
| Database: | BASE |
| Abstract: | In this repository, you will find the following resources: I) Layers of Datasets: The available datasets (OCEN_SOLAIRE_PV_BATIMENT and OCEN_SOLAIRE_IRR_SURFACE_UTILE) from the Système d'Information du Territoire à Genève (SITG), which have been processed and utilized in the analysis. II) Python Code: The Jupyter Notebook titled GREAT_GENEVA_DEPLOYMENT_GOALS-ALL_BUILDINGS.ipynb, which includes the code used to estimate the photovoltaic (PV) deployment goals for each macro-region within the Greater Geneva Area. These regions include GE (Canton of Geneva), F (French cross-border region), and VD (District of Nyon in the Canton of Vaud). III) Metadata: Detailed explanations of the variables used in the code, as well as datasets generated for fictional buildings. This section includes guidelines on how to utilize the designed KPIs that support the SOLARIS framework. IV) Supplementary Information: Additional insights from the findings of the Systematic Literature Review (SLR) and its structure. |
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| DOI: | 10.5281/zenodo.13840995 |
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