Analysis of HVAC system oversizing in commercial buildings through field measurements

被引:51
|
作者
Woradechjumroen, Denchai [1 ]
Yu, Yuebin [1 ]
Li, Haorong [1 ]
Yu, Daihong [2 ]
Yang, Huojun [1 ]
机构
[1] Univ Nebraska, Durham Sch Architectural Engn & Construct, Omaha, NE 68182 USA
[2] Lawrence Technol Univ, Architectural Engn Dept, Southfield, MI USA
关键词
Over-sizing; Rooftop units; Retail stores; Real-time measurements; Cycling; Oversizing capacity; Energy penalty; Optimization; Smart building management;
D O I
10.1016/j.enbuild.2013.10.015
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study analyzes the oversizing issues of HVAC equipment in commercial buildings based on the data from long-time field measurements. Specifically, retail stores are selected as the typical commercial buildings to evaluate the status of equipment oversizing and its effect on energy consumption. Rooftop units (RTUs) in 12 retail stores located in different climatic regions are analyzed in terms of the oversizing status in both cooling and heating mode. The proposed method utilizes three parameters, namely cycling number (N), run time fraction (RTF), and maximum cycling number (N-max) to jointly determine the performance of a RTU based on the annual design condition. The accuracy of the methodology is evaluated by self-validation in terms of uncertainty and compared with previous studies. The results can be used to evaluate the oversizing level of RTUs and quantify the average energy penalty of sample buildings. Designers can also use the findings as a reference to evaluate building load design. More importantly, the analytical process presented in this article can be automated and applied in the smart building management system for the advanced soft repair of an oversizing issue with RTUs. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:131 / 143
页数:13
相关论文
共 50 条
  • [41] Developing a quick assessment tool for annual HVAC energy consumption of commercial buildings in Taiwan
    Huang, Kuo Tsang
    Lin, Hsien Te
    FIRST INTERNATIONAL CONFERENCE ON BUILDING ENERGY AND ENVIRONMENT, PROCEEDINGS VOLS 1-3, 2008, : 184 - 191
  • [42] Data mining algorithm and framework for identifying HVAC control strategies in large commercial buildings
    Chen, Zhe
    Xu, Peng
    Feng, Fan
    Qiao, Yifan
    Luo, Wei
    BUILDING SIMULATION, 2021, 14 (01) : 63 - 74
  • [43] Energy-efficient control of under-actuated HVAC zones in commercial buildings
    Brooks, Jonathan
    Kumar, Saket
    Goyal, Siddharth
    Subramany, Rahul
    Barooah, Prabir
    ENERGY AND BUILDINGS, 2015, 93 : 160 - 168
  • [44] Understanding and Reducing HVAC Power Consumption Post-Evacuation Events in Commercial Buildings
    Mohottige, Iresha Pasquel
    Gharakheili, Hassan Habibi
    Vishwanath, Arun
    Kanhere, Salil S.
    Sivaraman, Vijay
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (18) : 17235 - 17248
  • [45] Energy Optimization of HVAC Systems in Commercial Buildings Considering Indoor Air Quality Management
    Yu, Liang
    Xie, Di
    Huang, Chongxin
    Jiang, Tao
    Zou, Yulong
    IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (05) : 5103 - 5113
  • [46] Data mining algorithm and framework for identifying HVAC control strategies in large commercial buildings
    Zhe Chen
    Peng Xu
    Fan Feng
    Yifan Qiao
    Wei Luo
    Building Simulation, 2021, 14 : 63 - 74
  • [47] Improving HVAC operational efficiency in small-and medium-size commercial buildings
    Kim, Woohyun
    Katipamula, Srinivas
    Lutes, Robert
    BUILDING AND ENVIRONMENT, 2017, 120 : 64 - 76
  • [48] BIM-based automated fault detection and diagnostics of HVAC systems in commercial buildings
    Gourabpasi, Arash Hosseini
    Nik-Bakht, Mazdak
    JOURNAL OF BUILDING ENGINEERING, 2024, 87
  • [49] State of the art review on the HVAC occupant-centric control in different commercial buildings
    Huang, Guanying
    Ng, S. Thomas
    Li, Dezhi
    Zhang, Yubin
    JOURNAL OF BUILDING ENGINEERING, 2024, 96
  • [50] Experimental Evaluation of a Data Driven Cooling Optimization Framework for HVAC Control in Commercial Buildings
    Vishwanath, Arun
    Hong, Yu-Heng
    Blake, Charles
    E-ENERGY'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, 2019, : 78 - 88