Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Multicriteria Decision Method for Siting Wind and Solar Power Plants in Central North Namibia

Domaine:

environment and energygeospatial

Type de record:

paper
Créateur:
KlaJulSim
Éditeur:
MDP
Hôte:
We demonstrate the application of geomatics tools (remote sensing and geographic information systems) for spatial data analysis to determine potential locations for wind and solar photovoltaic (PV) energy plants in the Central North region of Namibia. In accordance with sustainable development goal 7 (affordable and clean energy) and goal 13 (climate action), the Namibian government has committed to reducing reliance on fossil fuels. In support of this, suitable locations for renewable energy plants need to be identified. Using multi-criteria decision-making and the analytical hierarchy process, sites were selected considering topographical, economic, climatic, and environmental factors. It was found that the highest potential for solar PV energy plants is in the northwest, southwest, and southern regions of the study area, whereas only the northwest region is highly suitable for wind power plants. These results were substantiated by comparison with global suitability maps, with some differences due to the datasets used. The findings can be used as a guide by governments, commercial investors, and other stakeholders to determine prospective sites for the development of renewable energy in Central North Namibia.

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by/4.0/

Similaires

Triangular Neutrosophic Multi-Criteria Decision Making AHP Method for Solar Power Site SelectionDetermination Of Optimal Locations for Photovoltaic Solar Power Plants in Cameroon Using GIS-AHP MethodEbuaraDavid/ML-Model-for-Hybrid-Solar-and-Wind-Energy-Plants-Sitting-in-NigeriaSuitability Map for Solar Photovoltaic Power Plants (SPVPs) in TunisiaMulticriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in MozambiquesimonMakumi/solar-siting-kenya

Triangular Neutrosophic Multi-Criteria Decision Making AHP Method for Solar Power Site Selection

The depletion of fossil fuel reserves, rising fuel costs, and heightened awareness of ecological pro

Determination Of Optimal Locations for Photovoltaic Solar Power Plants in Cameroon Using GIS-AHP Method

EbuaraDavid/ML-Model-for-Hybrid-Solar-and-Wind-Energy-Plants-Sitting-in-Nigeria

This is a ML Model for Hybrid Solar and Wind Energy Plants Sitting in Nigeria. **RFM.ipynb:** Conta

Suitability Map for Solar Photovoltaic Power Plants (SPVPs) in Tunisia

Dataset Description This dataset contains all spatial data and outputs used to generate the final l

Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique

Given the constraints associated with grid expansion costs, limited access to reliable electricity,

simonMakumi/solar-siting-kenya

Multi-criteria suitability model in Google Earth Engine identifying candidate sites for utility-scal