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Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations.
Arce, Elena; Suárez-García, Andrés; López-Vázquez, José Antonio; Devesa-Rey, Rosa.
Afiliación
  • Arce E; Polytechnic School of Engineering of Ferrol, University of A Coruña, 15403 Ferrol, Spain.
  • Suárez-García A; Defense University Center, Spanish Naval Academy, University of Vigo, 36920 Marín, Spain.
  • López-Vázquez JA; Polytechnic School of Engineering of Ferrol, University of A Coruña, 15403 Ferrol, Spain.
  • Devesa-Rey R; School of Industrial Engineering, University of Vigo, 36310 Vigo, Spain.
Sensors (Basel) ; 24(8)2024 Apr 11.
Article en En | MEDLINE | ID: mdl-38676071
ABSTRACT
Thermal simulations have become increasingly popular in assessing energy efficiency and predicting thermal behaviors in various structures. Calibration of these simulations is essential for accurate predictions. A crucial aspect of this calibration involves investigating the influence of meteorological variables. This study aims to explore the impact of meteorological variables on thermal simulations, particularly focusing on ships. Using TRNSYS (TRaNsient System Simulation) software (v17), renowned for its capability to model complex energy systems within buildings, the significance of incorporating meteorological data into thermal simulations was analyzed. The investigation centered on a patrol vessel stationed in a port in Galicia, northwest Spain. To ensure accuracy, we not only utilized the vessel's dimensions but also conducted in situ temperature measurements onboard. Furthermore, a dedicated weather station was installed to capture real-time meteorological data. Data from multiple sources, including Meteonorm and MeteoGalicia, were collected for comparative analysis. By juxtaposing simulations based on meteorological variables against those relying solely on in situ measurements, we sought to discern the relative merits of each approach in enhancing the fidelity of thermal simulations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: España
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