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Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations
Elena Arce1, Andrés Suárez-García2, José Antonio López-Vázquez1
1Polytechnic School of Engineering of Ferrol, University of A Coruña, 15403 Ferrol, Spain.
Sensors (Basel, Switzerland)
|April 27, 2024
Summary
This study highlights the critical role of meteorological variables in accurate thermal simulations for ships. Incorporating weather data significantly enhances simulation fidelity for improved energy efficiency assessments.
Area of Science:
- Energy Science
- Computational Modeling
- Naval Architecture
Background:
- Accurate thermal simulations are vital for assessing energy efficiency in structures.
- Calibration of these simulations requires understanding meteorological variable impacts.
- Ships present unique challenges for thermal behavior prediction.
Purpose of the Study:
- To investigate the impact of meteorological variables on ship thermal simulations.
- To analyze the significance of incorporating meteorological data into TRNSYS simulations.
- To compare simulation accuracy using meteorological data versus in situ measurements.
Main Methods:
- Utilized TRNSYS (TRaNsient System Simulation) software (v17) for thermal modeling.
- Focused on a patrol vessel in Galicia, Spain, incorporating its dimensions.
- Collected real-time meteorological data via an onboard weather station and external sources (Meteonorm, MeteoGalicia).
Main Results:
- Evaluated the influence of meteorological variables on thermal simulation accuracy.
- Compared simulation outcomes derived from external meteorological data against those using only onboard temperature measurements.
- Quantified the enhancement in simulation fidelity when meteorological data is integrated.
Conclusions:
- Meteorological variables significantly influence the accuracy of ship thermal simulations.
- Integrating external meteorological data improves simulation fidelity compared to relying solely on in situ measurements.
- TRNSYS simulations benefit from comprehensive meteorological data for precise thermal behavior prediction in maritime structures.

