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This document explores the development of a high-fidelity multi-domain vehicle thermal model in Dymola and Modelica to assess the effects of energy-efficient glazing technologies on automotive cabin thermal behaviour and vehicle efficiency.

The research integrates detailed HVAC, air conditioning, cabin airflow, glazing, and vehicle powertrain models to evaluate how LowE and infrared reflective (IRR) glazing reduce solar heat gain, improve cabin comfort, and lower HVAC energy consumption under extreme climate conditions. Using validated simulations and climatic test data, the study demonstrates how advanced glazing technologies can significantly reduce cabin soak temperatures, decrease air conditioning compressor loads, improve fuel economy, and enhance overall thermal efficiency, particularly in high ambient temperature environments.

Modeling the Effects of Energy Efficient Glazing on Cabin Thermal Energy and Vehicle Efficiency

This document presents a Dymola and Modelica-based thermal simulation framework for evaluating the impact of energy-efficient automotive glazing on cabin comfort, HVAC performance, and vehicle fuel efficiency.

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