Exploring Promised Sites for Establishing Hydropower Energy Storage (PHES) Stations in Libya by Using the Geographic Information Systems (GIS)

This study aims to identify optimal locations for establishing pumped hydropower energy storage (PHES) stations in Libya using Geographic Information Systems (GIS). The goal is to harness the region's natural resources to support Libya's strategic objectives of addressing energy deficits and increasing the share of renewable and clean energy in the national energy mix to over 50% by 2050. The study identifies several promising sites across Libya for the development of PHES stations, which could alleviate electricity shortages by storing surplus energy for use during peak demand, thus enhancing grid stability. Additionally, these stations can serve as energy storage solutions for renewable and hybrid energy systems. The findings indicate that approximately 24.73% of Libya's total area could be suitable for PHES development. The identified locations were classified into three categories based on a decision-making matrix integrated into GIS: high suitability (4.90%), medium suitability (6.15%), and low suitability (13.68%). The elevations of the most promising sites range from 188m to 2200m above sea level. The potential PHES capacities for these locations were estimated to range between 384-4,496 Wh/m³ of upper reservoir volume.

Authors

Publication Details

Journal
Wadi Alshatti University Journal of Pure and Applied Sciences
Published
2025-03-11
DOI
https://doi.org/10.63318/waujpasv3i1_13
Citations
11
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
5.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Promised Sites for Establishing Hydropower Energy Storage (PHES) Stations in Libya by Using the Geographic Information Systems (GIS)

Hala J. El‐Khozondar, Yasser F. Nassar, Suhaylah Mohammed, Hamed Algassie et al.
11 citations
Wadi Alshatti University Journal of Pure and Applied Sciences
Energy and Environment Impacts
5.54
article

Exploring Promised Sites for Establishing Hydropower Energy Storage (PHES) Stations in Libya by Using the Geographic Information Systems (GIS)

Hala J. El‐Khozondar, Yasser F. Nassar, Suhaylah Mohammed, Hamed Algassie, Asma Mahammed, ِAlatrash Alatrash
article en
11 citations

Abstract

This study aims to identify optimal locations for establishing pumped hydropower energy storage (PHES) stations in Libya using Geographic Information Systems (GIS). The goal is to harness the region's natural resources to support Libya's strategic objectives of addressing energy deficits and increasing the share of renewable and clean energy in the national energy mix to over 50% by 2050. The study identifies several promising sites across Libya for the development of PHES stations, which could alleviate electricity shortages by storing surplus energy for use during peak demand, thus enhancing grid stability. Additionally, these stations can serve as energy storage solutions for renewable and hybrid energy systems. The findings indicate that approximately 24.73% of Libya's total area could be suitable for PHES development. The identified locations were classified into three categories based on a decision-making matrix integrated into GIS: high suitability (4.90%), medium suitability (6.15%), and low suitability (13.68%). The elevations of the most promising sites range from 188m to 2200m above sea level. The potential PHES capacities for these locations were estimated to range between 384-4,496 Wh/m³ of upper reservoir volume.

Wadi Alshatti University Journal of Pure and Applied Sciences
Affordable and clean energy
Openalex Percentile: Top 3%
Energy and Environment Impacts
5.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.