Research on Real-Time Control Strategy for HVAC Systems in University Libraries

The energy consumption of library facilities in college buildings is significant, with the HVAC system accounting for 40–60% of the total energy use. Many university libraries, particularly those constructed in earlier years, rely on manual control methods, making the real-time control of HVAC systems crucial. This study explored the optimization of a building’s HVAC system control using the Levenberg–Marquardt algorithm combined with the universal global optimization algorithm to reduce energy consumption. A university library building was used as a case study to model the overall energy consumption of the HVAC equipment. The proposed strategy was then applied to optimize the energy-saving control of the building’s HVAC system. The results, based on real operational data, demonstrate that this method achieves an energy-saving rate of over 30% while also significantly improving the comfort of library users. The findings of this study provide valuable insights into the energy-saving control of HVAC systems in libraries, which can help advance building energy efficiency and sustainability in the future.

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Publication Details

Journal
Applied Sciences
Published
2025-03-06
DOI
https://doi.org/10.3390/app15052855
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Real-Time Control Strategy for HVAC Systems in University Libraries

Liangliang Zhu, H. Chen, Xingyao Dong, Yiquan Zou et al.
Applied Sciences
Building Energy and Comfort Optimization
article

Research on Real-Time Control Strategy for HVAC Systems in University Libraries

Liangliang Zhu, H. Chen, Xingyao Dong, Yiquan Zou, Wentao Zou, Hong Shu
article en

Abstract

The energy consumption of library facilities in college buildings is significant, with the HVAC system accounting for 40–60% of the total energy use. Many university libraries, particularly those constructed in earlier years, rely on manual control methods, making the real-time control of HVAC systems crucial. This study explored the optimization of a building’s HVAC system control using the Levenberg–Marquardt algorithm combined with the universal global optimization algorithm to reduce energy consumption. A university library building was used as a case study to model the overall energy consumption of the HVAC equipment. The proposed strategy was then applied to optimize the energy-saving control of the building’s HVAC system. The results, based on real operational data, demonstrate that this method achieves an energy-saving rate of over 30% while also significantly improving the comfort of library users. The findings of this study provide valuable insights into the energy-saving control of HVAC systems in libraries, which can help advance building energy efficiency and sustainability in the future.

Applied SciencesVol. 15(5)
South China Municipal Engineering Design and Research Institute (China) (CN), Hubei University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 96%
Building Energy and Comfort Optimization
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