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Open AccessArticle
Use of Model-Based Weather Forecasting Systems for Validation of Areas for Marine Energy Deployment in Port Service Areas
by
Raúl Cascajo
Raúl Cascajo
Raúl Cascajo is a specialist in maritime transport, port logistics, and sustainable mobility, and a [...]
Raúl Cascajo is a specialist in maritime transport, port logistics, and sustainable mobility, and is currently serving as Head of Environmental Policies at VPI Logistica. He holds a PhD from Universidad Politécnica de Madrid and has led projects on wave energy, hydrogen, and alternative fuels, contributing to port decarbonization and transport innovation.
,
Rafael Molina-Sánchez
Rafael Molina-Sánchez
Gabriel Diaz-Hernandez
Gabriel Diaz-Hernandez
1
ENERMAR Working Group of the Spanish Association of Naval Architects and Marine Engineers, 28040 Madrid, Spain
2
Dpto. Ingeniería Civil: Transportes, Urbanismo y Territorio, Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
3
ETSICCyP, CEHINAV, Universidad Politécnica de Madrid, 28040 Madrid, Spain
4
IHCantabria—Instituto de Hidráulica Ambiental de la Universidad de Cantabria, 39011 Santander, Spain
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(9), 4948; https://doi.org/10.3390/app15094948 (registering DOI)
Submission received: 23 March 2025
/
Revised: 26 April 2025
/
Accepted: 27 April 2025
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Published: 29 April 2025
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This study presents a model-based framework for port authorities and energy planners to assess the feasibility of integrating marine renewable energy sources, such as wave energy, into port infrastructures. By leveraging high-resolution meteorological and oceanographic modelling, the approach enables ports to explore pathways for energy self-sufficiency, optimize energy generation strategies, and reduce reliance on fossil fuels. This contributes to lowering greenhouse gas emissions, ensuring energy security, and facilitating compliance with evolving international environmental regulations and decarbonisation policies.
Abstract
Ports function as logistical hubs through which approximately 80% of the world’s goods are transported annually. Recent regulatory frameworks from the International Maritime Organization (IMO) and the European Union require ships and ports to adopt measures aimed at minimizing the environmental impact of port activities and mitigate climate change. These measures include investing in renewable energy generation systems to transition from fossil fuel-based energy to renewable electricity. Consequently, to meet increasing energy demands, new energy infrastructure must be developed. However, due to spatial constraints in port environments, there is a growing interest in utilizing port service areas, inner docks, and exterior/adjacent water zones for the deployment of marine renewable energy generation systems. This study applies high-resolution meteorological and oceanographic modelling—incorporating validated wave agitation models—to assess the feasibility of integrating marine renewable energy generation within port service areas.
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MDPI and ACS Style
Cascajo, R.; Molina-Sánchez, R.; Diaz-Hernandez, G.
Use of Model-Based Weather Forecasting Systems for Validation of Areas for Marine Energy Deployment in Port Service Areas. Appl. Sci. 2025, 15, 4948.
https://doi.org/10.3390/app15094948
AMA Style
Cascajo R, Molina-Sánchez R, Diaz-Hernandez G.
Use of Model-Based Weather Forecasting Systems for Validation of Areas for Marine Energy Deployment in Port Service Areas. Applied Sciences. 2025; 15(9):4948.
https://doi.org/10.3390/app15094948
Chicago/Turabian Style
Cascajo, Raúl, Rafael Molina-Sánchez, and Gabriel Diaz-Hernandez.
2025. "Use of Model-Based Weather Forecasting Systems for Validation of Areas for Marine Energy Deployment in Port Service Areas" Applied Sciences 15, no. 9: 4948.
https://doi.org/10.3390/app15094948
APA Style
Cascajo, R., Molina-Sánchez, R., & Diaz-Hernandez, G.
(2025). Use of Model-Based Weather Forecasting Systems for Validation of Areas for Marine Energy Deployment in Port Service Areas. Applied Sciences, 15(9), 4948.
https://doi.org/10.3390/app15094948
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