Proceedings of the 2024 6th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2024)

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Model Predictive Control Strategy for a Radiant Cooling System Coupled with a Fresh Air System Based on Deep Learning

Authors
Hailong Gu1, Xueying Xia1, *
1School of Energy and Mechanical Engineering, Nanjing Normal University, Nanjing, 210023, China
*Corresponding author. Email: 1071953187@qq.com
Corresponding Author
Xueying Xia
Available Online 30 April 2025.
DOI
10.2991/978-94-6463-688-8_32How to use a DOI?
Keywords
Radiant cooling system; Artificial neural network; Model predictive control
Abstract

This paper proposes a prediction method for indoor temperature and humidity parameter changes in a radiant cooling system coupled with fresh air system based on One-Dimensional Convolution coupled Long Short-Term Memory neural network is proposed, and a model prediction control strategy for the radiant cooling system coupled with fresh air system is designed based on this method. The simulation experimental results demonstrate that the model predictive control strategy exhibits enhanced stability in maintaining indoor thermal comfort and reduces the risk of condensation in comparison to the rule-based control strategy. Additionally, the model predictive control strategy was observed to reduce energy consumption by 16% over the entire cooling period in comparison to the rule-based control strategy.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 6th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2024)
Series
Advances in Engineering Research
Publication Date
30 April 2025
ISBN
978-94-6463-688-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-688-8_32How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hailong Gu
AU  - Xueying Xia
PY  - 2025
DA  - 2025/04/30
TI  - Model Predictive Control Strategy for a Radiant Cooling System Coupled with a Fresh Air System Based on Deep Learning
BT  - Proceedings of the 2024 6th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2024)
PB  - Atlantis Press
SP  - 316
EP  - 324
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-688-8_32
DO  - 10.2991/978-94-6463-688-8_32
ID  - Gu2025
ER  -