Yude Fu

Yude Fu

MS in Building Performance Diagnostics @ Carnegie Mellon University. Building energy simulation, HVAC design, and low-carbon systems.

A parametric, control-integrated and machine learning-enhanced modeling method of demand-side HVAC systems in industrial buildings: A practical validation study

Published in Applied Energy, 2024

This paper presents a demand-side HVAC system model for industrial buildings, with a focus on clean room environments. Using Modelica parametric modeling, the work improves predictions of cooling loads and optimizes temperature and humidity control strategies.

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Recommended citation: Kong D, Hong Y, Yang Y, et al. (2025a). A parametric, control-integrated and machine learning-enhanced modeling method of demand-side HVAC systems in industrial buildings: A practical validation study. Applied Energy, 379: 124971.
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