Weather sequences for predicting HVAC system behaviour in residential units located in tropical climates

TL;DR

This paper presents a methodology for defining specific weather sequences to predict HVAC system behavior in tropical residential units, emphasizing the importance of accurate meteorological data for reliable thermal simulations.

Contribution

It introduces a novel approach to classify climatic situations on tropical islands for improved HVAC energy prediction using detailed weather sequence analysis.

Findings

Weather sequences significantly impact HVAC energy needs.

Coherent meteorological data is crucial for accurate thermal simulations.

Methodology applied to Reunion Island demonstrates its effectiveness.

Abstract

The purpose of our research deals with the description of a methodology for the definition of specific weather sequences and their influence on the energy needs of HVAC system. We'll apply the method on the tropical Reunion Island. The methodological approach based on a detailed analysis of weather sequences leads to a classification of climatic situations that can be applied to the site. These sequences have been used to simulate buildings and air handling systems thanks to a thermal simulation code, CODYRUN. Results bring to the light how necessary it is to have coherent meteorological data for this kind of simulation.