Time-Based Scheduling Optimization for HVAC Control: A Case Study on Enhancing Energy Efficiency in Commercial Buildings

被引:0
作者
Thirunavukkarasu, Gokul Sidarth [1 ]
Kalair, Ali Raza [1 ]
Islam, Md Didarul [1 ]
Seyedmahmoudian, Mehdi [1 ]
Mekhilef, Saad [1 ]
Stojcevski, Alex [1 ]
机构
[1] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Melbourne, Vic 3122, Australia
来源
2023 33RD AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE, AUPEC | 2023年
关键词
Distributed Renewable Energy; HVAC control; multi-agent system; time-scheduling; energy efficiency;
D O I
10.1109/AUPEC59354.2023.10503294
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a case study on enhancing energy efficiency in commercial buildings through time-based scheduling optimization for HVAC control. The study focuses on improving energy efficiency by leveraging optimized time-table-based scheduling techniques. By employing a time-based approach, the proposed methodology optimizes the HVAC control operations in commercial buildings, thereby maximizing energy efficiency. As critical contributions to the paper, custom Bacnet-based BMS gateway and MODBus-based inverter gateway were developed to facilitate seamless integration and communication between the HVAC systems, distributed energy resources like solar PV systems and control algorithms. The case study conducted in two live buildings at Swinburne Campus demonstrates this approach's practical implementation and effectiveness, utilizing the developed gateways. The results highlight the potential benefits of time-based scheduling optimization, including improved energy efficiency and reduced energy consumption. The findings contribute valuable insights into the implementation of energy-efficient strategies in commercial buildings, paving the way for sustainable energy management practices and cost savings.
引用
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页数:6
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