Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/165062
Title: Degradation of power generation capacity in island systems A causal decomposition framework and application to the Canary Islands
Authors: Lozano Medina, Juan Carlos 
Mendieta Pino, Carlos Alberto 
Ramos Martín, Alejandro 
León Zerpa, Federico Antonio 
UNESCO Clasification: 331005 Ingeniería de procesos
Keywords: Isolated power systems
Effective capacity losses
Grid stability and inertia
Obsolescence of power plants
Renewable curtailment, et al
Issue Date: 2026
Project: Mejora de la biofuncionalidad de nuevos recubrimientos de aleaciones de Mg para aplicaciones biomédicas (BioMag) 
Mitigación del cambio climático a través de la innovación en el ciclo del agua mediante tecnologías bajas en carbono
Journal: Energy Conversion and Management: X 
Abstract: Island power systems often show a large gap between nominal installed capacity and the energy that can be effectively delivered due to cumulative technical and operational constraints. This paper proposes a causal decomposition framework that estimates effective capacity through six multiplicative penalty factors: grid constraints, fuel-related efficiency penalties, climate effects on renewables, equipment obsolescence, suboptimal operational management, and stability/inertia requirements. The framework is applied to the Canary Islands using 2023 official statistics. Results show that the 2023 production (9,222.5 GWh) corresponds to 79.46% of the theoretical maximum potential, implying an overall loss of 20.54%. The dominant contributors are grid constraints and equipment obsolescence, while fuel, climate, operational management, and stability requirements add non-negligible losses. The framework is transferable and can be replicated in other island systems and microgrids using publicly available operational data, enabling consistent benchmarking and prioritization of capacity-recovery measures.
URI: https://accedacris.ulpgc.es/jspui/handle/10553/165062
ISSN: 2590-1745
DOI: 10.1016/j.ecmx.2026.101909
Source: Energy Conversion and Management: X [2590-1745], v. 30 (Abril 2026)
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