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Renewable Energy Deployment Efficiency: Analyzing Algeria's Achievement Gap and Optimization Strategies

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

Resumen

Algeria's renewable energy initiative reached only 15.68% of its projected capacity by 2020 (686 MW of the 4,375 MW target), placing it among the lowest implementation rates worldwide. This paper examines the technical and institutional constraints contributing to this shortfall using data from Algeria's National Renewable Energy Program (PENREE), and outlines optimization measures to align progress with the updated 22,000 MW objective for 2030. A comparative review with successful renewable programs in peer economies identifies key bottlenecks and introduces a phase-gate implementation framework capable of raising achievement levels to 60 - 75%. Results show that grid connection delays account for nearly 40% of project disruptions, followed by financing issues (35%) and permitting processes (25%), underscoring structural weaknesses in inter-institutional coordination. Based on official IRENA data, this research delivers the first quantitative evaluation of deployment efficiency for renewable projects in the MENA region and establishes a replicable methodology for assessing large-scale transition programs. While the proposed strategies could substantially accelerate implementation, their effectiveness remains contingent on institutional capacity development and stronger project management practices. Technology-specific outcomes reveal considerable variation: solar PV achieved 13.33% of its target, whereas wind projects reached only 5%. Regional comparisons show unexpected patterns, with remote zones such as Adrar attaining up to 70% success rates, compared to 15% in grid-connected northern areas. These results challenge the prevailing assumption that resource endowment alone determines deployment performance.

Idioma originalInglés estadounidense
Título de la publicación alojadaProceedings of 2025 International Conference on Artificial Intelligence, Embedded Systems, and Renewable Energy, AIESRE 2025
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798331596378
DOI
EstadoIndizado - 2025
Evento2025 International Conference on Artificial Intelligence, Embedded Systems, and Renewable Energy, AIESRE 2025 - Tizi-Ouzou, Argelia
Duración: 15 dic. 202517 dic. 2025

Serie de la publicación

NombreProceedings of 2025 International Conference on Artificial Intelligence, Embedded Systems, and Renewable Energy, AIESRE 2025

Conferencia

Conferencia2025 International Conference on Artificial Intelligence, Embedded Systems, and Renewable Energy, AIESRE 2025
País/TerritorioArgelia
CiudadTizi-Ouzou
Período15/12/2517/12/25

Nota bibliográfica

Publisher Copyright:
© 2025 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante

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