# Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations

**Authors:** Elena Arce, Andrés Suárez-García, José Antonio López-Vázquez, Rosa Devesa-Rey

PMC · DOI: 10.3390/s24082454 · 2024-04-11

## TL;DR

This paper compares using weather data versus onboard measurements in simulating ship thermal behavior to improve energy efficiency predictions.

## Contribution

The study introduces a comparative analysis framework for meteorological and in situ data in ship thermal simulations.

## Key findings

- Meteorological data significantly influence thermal simulation accuracy for ships.
- In situ measurements provide complementary insights for refining simulation fidelity.
- Combining both data types enhances predictive reliability in thermal modeling.

## 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.

## Full-text entities

- **Diseases:** injury to people or property (MESH:C000719191)
- **Chemicals:** A- (MESH:D001151), Lithium (MESH:D008094), Polymer (MESH:D011108), steel (MESH:D013232), oil (MESH:D009821), mineral wool (MESH:C031293), water (MESH:D014867), patrol (MESH:C063198), DS9107 (-)

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11055125/full.md

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Source: https://tomesphere.com/paper/PMC11055125