Research on Real-Time Control Strategy for HVAC Systems in University Libraries
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Building Energy and Comfort Optimization · Smart Grid Energy Management · Energy Efficiency in Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
Central-South Architectural Design Institute Co., Ltd., Wuhan 430061, China
Wuhan Ruojing Technology Co., Ltd., Wuhan 430015, China
Funding
Major Research Project of Department of Science and Technology of Hubei Province
References (36)
Show source-provided references
1. Determinants of Carbon Emissions Cycles in the G7 Countries10.1016/j.techfore.2024.123261 ↗
2. Pathway to Sustainable Economic Growth: Linkage Among Energy Consumption, Carbon Emissions, Climate Change and Technological Innovation10.1016/j.esr.2023.101253 ↗
3. Does Increasing Income Have a Positive Impact on Energy Consumption? New Evidence from China10.1016/j.sftr.2023.100139 ↗
4. Role of Green Energy Usage in Reduction of Environmental Degradation: A Comparative Study of East Asian Countries10.1016/j.eneco.2023.106927 ↗
5. Coupling Effect of Radiative Cooling and Phase Change Material on Building Wall Thermal Performance10.1016/j.jobe.2023.108344 ↗
6. A Hierarchical HVAC Optimal Control Method for Reducing Energy Consumption and Improving Indoor Air Quality Incorporating Soft Actor-Critic and Hybrid Search Optimization10.1016/j.enconman.2024.118118 ↗
7. China Carbon Emission Accounts 2020–202110.1016/j.apenergy.2024.122837 ↗
8. A Holistic Approach for the Assessment of the Indoor Environmental Quality, Student Productivity, and Energy Consumption in Primary Schools10.1007/s10661-015-4503-9 ↗
9. School of the Future–Towards Zero Emission with High Performance Indoor Environment10.1016/j.egypro.2014.02.166 ↗
10. The Interaction Between Physical and Social-Psychological Factors in Indoor Environmental Health10.1023/A:1023694130483 ↗
11. Optimization of Control System for Modified Configuration of a Refrigeration Unit10.1016/j.procs.2019.09.427 ↗
12. Li, C., Tian, P., and Wang, F. (2010, January 24–26). Energy Saving Control Method Research of Modular Water Chillers Group Operation and Pump Variable-Frequency Control Based on Dynamic Air Conditioning Load Requirements Analysis. Proceedings of the 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, Changchun, China.
13. An Empirical Model of a Split-Type Inverter Air Conditioner for Building Energy Simulation10.1016/j.applthermaleng.2023.121714 ↗
14. Study on Simplified Energy-Efficient Control Methods of HVAC Cooling Water System from the Global Online Optimization Perspective10.1002/ese3.861 ↗
15. Dynamic Optimization of Chilled Water Pump Operation to Reduce HVAC Energy Consumption10.1016/j.tsep.2022.101512 ↗
16. Shah, A., Huang, D., Huang, T., and Farid, U. (2018). Optimization of Buildings Energy Consumption by Designing Sliding Mode Control for Multizone VAV Air Conditioning Systems. Energies, 11.10.3390/en11112911 ↗
17. An Intelligent HVAC Control Strategy for Supplying Comfortable and Energy-Efficient School Environment10.1016/j.aei.2023.101895 ↗
18. Load Rebound Suppression Strategy and Demand Response Potential of Thermal Storage HVAC Systems: An Experimental and Simulation Study10.1016/j.est.2023.108872 ↗
19. Model Predictive Control of Air-Based Building Integrated PV/T Systems for Optimal HVAC Integration10.1016/j.renene.2023.05.059 ↗
20. Cost-Optimal Analysis of Energy Efficient Hvac Solution-Sets for Low-Energy Apartment Buildings10.1016/j.enbuild.2023.113332 ↗
21. An Online Reinforcement Learning Approach for HVAC Control10.1016/j.eswa.2023.121749 ↗
22. The PID Controller Optimisation Module Using Fuzzy Self-Tuning PSO for Air Handling Unit in Continuous Operation10.1016/j.engappai.2022.105485 ↗
23. A Module-Level Pipeline Based Gauss-Newton Online Ranging Method for High-Repetition-Frequency Full-Waveform LiDAR10.1016/j.measurement.2024.114351 ↗
24. An Algorithm for Global Solution to Bi-Parametric Linear Complementarity Constrained Linear Programs10.1007/s10898-014-0228-5 ↗
25. Simplified EKV Model Parameter Extraction in Polysilicon MOSFETs10.1016/j.sse.2022.108403 ↗
26. Nanoscale MOSFET Modeling: Part 1: The Simplified EKV Model for the Design of Low-Power Analog Circuits10.1109/MSSC.2017.2712318 ↗
27. Salt-Dissolved Regularity of the Self-Ice-Melting Pavement Under Rainfall10.1016/j.conbuildmat.2019.01.129 ↗
28. Two Nonmonotone Trust Region Algorithms Based on an Improved Newton Method10.1007/s12190-020-01350-7 ↗
29. A Trust-Region-like Algorithm for Expensive Multi-Objective Optimization10.1016/j.asoc.2023.110892 ↗
30. Hierarchical Recursive Levenberg–Marquardt Algorithm for Radial Basis Function Autoregressive Models10.1016/j.ins.2023.119506 ↗
31. Football Team Training Algorithm: A Novel Sport-Inspired Meta-Heuristic Optimization Algorithm for Global Optimization10.1016/j.eswa.2023.123088 ↗
32. Convergence of Trust-Region Methods Based on Probabilistic Models10.1137/130915984 ↗
33. Global Convergence of a Class of Discrete-Time Interconnected Pendulum-Like Systems10.1007/s10957-007-9172-6 ↗
34. (2014). Technical Requirements of Measurement and Verification of Energy Savings-Central Air-Conditioning System (Standard No. GB/T 31349-2014).
35. (2015). Design Standard for Energy Efficiency of Public Buildings (Standard No. GB 50189-2015).
36. (2021). General Code for Building Environment (Standard No. GB 55016-2021).