CONVENTIONAL VS CO2 DEMAND-CONTROLLED VENTILATION SYSTEMS

被引:10
|
作者
HAGHIGHAT, F
DONNINI, G
机构
[1] Centre for Building Studies, Concordia University, Montreal, Que. H3G 1M8
关键词
CO2; DEMAND-CONTROLLED VENTILATION SYSTEMS; IAQ;
D O I
10.1016/0306-4565(93)90085-8
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
1. The feasibility of controlling the ventilation system using the occupant-generated carbon dioxide as an indicator of ventilation rate and indoor air quality has been investigated in an eleven storey office building. 2. The study compares the indoor environment created by two different types of ventilation control systems. 3. The two ventilation systems tested consisted of a conventional system controlled by outdoor temperatures, and a demand-controlled system regulated by indoor carbon dioxide concentration. 4. The results show that the CO2-based demand-controlled ventilation system does not worsen indoor. air quality and thermal comfort. It was also noticed that an energy saving of 12% was achieved using the CO2 control system. 5. The occupants perceived that their productivity is proportional to their perception of the indoor environment; indicating that higher productivity rates can be achieved by better controlling the working environment above satisfactory levels.
引用
收藏
页码:519 / 522
页数:4
相关论文
共 50 条
  • [21] Applicability evaluation of a demand-controlled ventilation system in livestock
    Shin, Hakjong
    Kwak, Younghoon
    Jo, Seng-Kyoun
    Kim, Se-Han
    Huh, Jung-Ho
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 196
  • [22] Sensor-based demand-controlled ventilation: a review
    Fisk, WJ
    De Almeida, AT
    ENERGY AND BUILDINGS, 1998, 29 (01) : 35 - 45
  • [23] Research on IAQ-based demand-controlled ventilation
    Bin, GS
    Yu, WQ
    Hai, WR
    2ND ASIAN CONFERENCE ON REFRIGERATION AND AIR-CONDITIONING, PROCEEDINGS: NEW CONTRIBUTION TO ASIAN SUSTAINABLE DEVELOPMENT, 2004, : 644 - 649
  • [24] Optimizing demand-controlled ventilation with thermal comfort and CO2 concentrations using long short-term memory and genetic algorithm
    Wu, Da-Chun
    Momeni, Mehdi
    Razban, Ali
    Chen, Jie
    BUILDING AND ENVIRONMENT, 2023, 243
  • [25] What Should the Minimum Ventilation Rate Be in a Demand-Controlled Ventilation Strategy?
    Mysen, Mads
    Holos, Sverre
    Yang, Aileen
    Thunshelle, Kari
    Schild, Peter
    COLD CLIMATE HVAC 2018: SUSTAINABLE BUILDINGS IN COLD CLIMATES, 2019, : 339 - 349
  • [26] Unlocking ventilation flexibility of large airport terminals through an optimal CO2-based demand-controlled ventilation strategy
    Tang, Hao
    Yu, Juan
    Geng, Yang
    Wang, Zhe
    Liu, Xue
    Huang, Zujian
    Lin, Borong
    BUILDING AND ENVIRONMENT, 2023, 244
  • [27] CO2 heat pumps in controlled ventilation systems
    Rieberer, R
    Halozan, H
    NATURAL WORKING FLUIDS'98: IIR - GUSTAV LORENTZEN CONFERENCE, 1998, 1998 (04): : 212 - 222
  • [28] Demand-controlled ventilation in educational buildings: Energy efficient but is it resilient?
    Al Assaad, Douaa
    Sengupta, Abantika
    Breesch, Hilde
    BUILDING AND ENVIRONMENT, 2022, 226
  • [29] Realistic Simulation of Sensor/Actuator Faults for a Dependability Evaluation of Demand-Controlled Ventilation and Heating Systems
    Kiamanesh, Bahareh
    Behravan, Ali
    Obermaisser, Roman
    ENERGIES, 2022, 15 (08)
  • [30] Fault Injection with Multiple Fault Patterns for Experimental Evaluation of Demand-Controlled Ventilation and Heating Systems
    Kiamanesh, Bahareh
    Behravan, Ali
    Obermaisser, Roman
    SENSORS, 2022, 22 (21)