Numerical evaluation of energy consumption and indoor environment in subway island platform with DCV system

Jing Liu; Xiao chi Deng; Yin Wang

Numerical evaluation of energy consumption and indoor environment in subway island platform with DCV system

Jing Liu^*
, Xiao chi Deng
, Yin Wang

^*Corresponding author for this work

School of Architecture and Design

Huawei Technologies Co., Ltd.
Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

This paper established a demand control ventilation (DCV) strategy for subway platform. Firstly, steady state CFD simulation was carried out to predict the space CO₂ distribution in the platform. Secondly, both CO₂ control point and base ventilation rate were determined. Then authors developed a DCV dynamic model by control processing simulation. The simulation results show that using this ventilation strategy can achieve an acceptable indoor air quality. Additionally, comparing with the conventional CAV system and VAV system, this strategy can save about 30.16% and 8.21% of the annual energy consumption, respectively.

Original language	English
Pages	1894-1898
Number of pages	5
State	Published - 2009
Event	11th International IBPSA Conference - Building Simulation 2009, BS 2009 - Glasgow, United Kingdom Duration: 27 Jul 2007 → 30 Jul 2007

Conference

Conference	11th International IBPSA Conference - Building Simulation 2009, BS 2009
Country/Territory	United Kingdom
City	Glasgow
Period	27/07/07 → 30/07/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Cite this

@conference{344f7ff095ec4c7793ea5279104630fc,

title = "Numerical evaluation of energy consumption and indoor environment in subway island platform with DCV system",

abstract = "This paper established a demand control ventilation (DCV) strategy for subway platform. Firstly, steady state CFD simulation was carried out to predict the space CO2 distribution in the platform. Secondly, both CO2 control point and base ventilation rate were determined. Then authors developed a DCV dynamic model by control processing simulation. The simulation results show that using this ventilation strategy can achieve an acceptable indoor air quality. Additionally, comparing with the conventional CAV system and VAV system, this strategy can save about 30.16\% and 8.21\% of the annual energy consumption, respectively.",

author = "Jing Liu and Deng, \{Xiao chi\} and Yin Wang",

year = "2009",

language = "英语",

pages = "1894--1898",

note = "11th International IBPSA Conference - Building Simulation 2009, BS 2009 ; Conference date: 27-07-2007 Through 30-07-2007",

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TY - CONF

T1 - Numerical evaluation of energy consumption and indoor environment in subway island platform with DCV system

AU - Liu, Jing

AU - Deng, Xiao chi

AU - Wang, Yin

PY - 2009

Y1 - 2009

N2 - This paper established a demand control ventilation (DCV) strategy for subway platform. Firstly, steady state CFD simulation was carried out to predict the space CO2 distribution in the platform. Secondly, both CO2 control point and base ventilation rate were determined. Then authors developed a DCV dynamic model by control processing simulation. The simulation results show that using this ventilation strategy can achieve an acceptable indoor air quality. Additionally, comparing with the conventional CAV system and VAV system, this strategy can save about 30.16% and 8.21% of the annual energy consumption, respectively.

AB - This paper established a demand control ventilation (DCV) strategy for subway platform. Firstly, steady state CFD simulation was carried out to predict the space CO2 distribution in the platform. Secondly, both CO2 control point and base ventilation rate were determined. Then authors developed a DCV dynamic model by control processing simulation. The simulation results show that using this ventilation strategy can achieve an acceptable indoor air quality. Additionally, comparing with the conventional CAV system and VAV system, this strategy can save about 30.16% and 8.21% of the annual energy consumption, respectively.

UR - https://www.scopus.com/pages/publications/84870167531

M3 - 论文

AN - SCOPUS:84870167531

SP - 1894

EP - 1898

T2 - 11th International IBPSA Conference - Building Simulation 2009, BS 2009

Y2 - 27 July 2007 through 30 July 2007

ER -

Numerical evaluation of energy consumption and indoor environment in subway island platform with DCV system

Abstract

Conference

UN SDGs

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