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.

Geospatial analysis of hydro energy siting suitability in South African power pool

Domaine:

geospatialenvironment and energy

Type de record:

paper
Créateur:
SamCheGodJea
Éditeur:
SAG
Hôte:
The growing demand for reliable, low-carbon energy in the Southern African Power Pool (SAPP) necessitates a harmonized, region-wide approach to hydropower development in the SAPP. While GIS–MCDA and AHP methods have been widely applied at basin or national scales, this study uniquely presents a comprehensive geospatial analysis by integrating multiple spatial datasets across all 12 SAPP member states: Angola, Botswana, Democratic Republic of the Congo (DRC), Eswatini, Lesotho, Malawi, Mozambique, Namibia, South Africa, Tanzania, Zambia, and Zimbabwe. This study advances existing research by applying a standardized GIS–MCDA–AHP framework consistently across diverse countries, incorporating underutilized criteria such as the Standardized Precipitation Index (SPI) and detailed geological and soil texture layers, and integrating environmental and land-use constraints through Boolean masking. The resulting Hydropower Suitability Index identifies spatially coherent, high-potential hydropower corridors along major river systems, including the Congo, Zambezi, Cuanza, and Limpopo basins. Validation with existing hydropower stations and a sensitivity analysis confirmed the robustness of the model. The findings provide policy-relevant insights that support cross-border energy planning, sustainable regional energy expansion, and enhanced climate resilience in Southern Africa, offering practical guidance to policymakers and planners.

Visit

doi.org

Languages

Tonga

Licenses

https://creativecommons.org/licenses/by-nc/4.0/https://journals.sagepub.com/page/policies/text-and-data-mining-license

Similaires

A GIS-based suitability analysis for siting a waste-to-energy power plant in Kaduna, NigeriaEast Africa - Power Pool Renewable Energy Zones Windlucaneviani/Geospatial-Analysis-of-Renewable-Energy-Power-Plants-using-Satellite-DataSouthern African Power Pool GridPath Model Input DataDataset for the power system modelling of the West African Power Pool (WAPP)Dispa-SET dataset for SAPP (Southern African Power Pool)

A GIS-based suitability analysis for siting a waste-to-energy power plant in Kaduna, Nigeria

The success of any waste management system requires accurate and up-to-date data on quantity, and co

East Africa - Power Pool Renewable Energy Zones Wind

Renewable energy planning, wind power site selection, regional power integration, feasibility studie

lucaneviani/Geospatial-Analysis-of-Renewable-Energy-Power-Plants-using-Satellite-Data

Built a longitudinal panel dataset combining satellite imagery data used as proxy for economic activ

Southern African Power Pool GridPath Model Input Data

This data repository holds GridPath model input data for the paper Chowdhury, A.K., Deshmukh, R., Wu

Dataset for the power system modelling of the West African Power Pool (WAPP)

Input datasets and simulation results for the West African Power Pool (WAPP) simulation wit

Dispa-SET dataset for SAPP (Southern African Power Pool)

Input datasets and simulation results of the Southern African Power Pool (SAPP) simulations conducte