Optimization of indoor environmental quality and ventilation load in office space by multilevel coupling of building energy simulation and computational fluid dynamics

Yunqing Fan, Kazuhide Ito

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The fundamentals, implementation, and application of an integrated simulation as an approach for predicting the indoor environmental quality for an open-type office and for quantifying energy saving potential under optimized ventilation are presented in this paper. An integrated simulation procedure based on a building energy simulation and computational fluid dynamics, incorporated with a conceptual model of a CO2 demand controlled ventilation (DCV) system and proportional integral control of an air conditioning system as the optimization assessment of conceptual model in the occupied zone, was developed. This numerical model quantitatively exhibits energy conservation and represents the non-uniform distribution patterns of airflow properties and CO2 concentration levels in terms of energy recovery and indoor thermal comfort. By means of an integrated simulation, the long-term energy consumption of heating, ventilation, and air conditioning systems are predicted precisely and dynamically. Relative to a ventilation system with a basic constant air volume supply rate characterized by a fixed outdoor air intake rate from the ceiling supply opening, the optimized CO2-DCV system coupled with energy recovery ventilators reduced total energy consumption by 29.1% (in summer conditions) and 40.9% (winter).

Original languageEnglish
Pages (from-to)649-659
Number of pages11
JournalBuilding Simulation
Volume7
Issue number6
DOIs
Publication statusPublished - Jan 1 2014

Fingerprint

Ventilation
Computational fluid dynamics
Air conditioning
Energy conservation
Energy utilization
Recovery
Thermal comfort
Air intakes
Ceilings
Numerical models
Heating
Air

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy (miscellaneous)

Cite this

@article{8eff219e6b5c43e3b9292b40ba37761f,
title = "Optimization of indoor environmental quality and ventilation load in office space by multilevel coupling of building energy simulation and computational fluid dynamics",
abstract = "The fundamentals, implementation, and application of an integrated simulation as an approach for predicting the indoor environmental quality for an open-type office and for quantifying energy saving potential under optimized ventilation are presented in this paper. An integrated simulation procedure based on a building energy simulation and computational fluid dynamics, incorporated with a conceptual model of a CO2 demand controlled ventilation (DCV) system and proportional integral control of an air conditioning system as the optimization assessment of conceptual model in the occupied zone, was developed. This numerical model quantitatively exhibits energy conservation and represents the non-uniform distribution patterns of airflow properties and CO2 concentration levels in terms of energy recovery and indoor thermal comfort. By means of an integrated simulation, the long-term energy consumption of heating, ventilation, and air conditioning systems are predicted precisely and dynamically. Relative to a ventilation system with a basic constant air volume supply rate characterized by a fixed outdoor air intake rate from the ceiling supply opening, the optimized CO2-DCV system coupled with energy recovery ventilators reduced total energy consumption by 29.1{\%} (in summer conditions) and 40.9{\%} (winter).",
author = "Yunqing Fan and Kazuhide Ito",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/s12273-014-0178-3",
language = "English",
volume = "7",
pages = "649--659",
journal = "Building Simulation",
issn = "1996-3599",
publisher = "Tsing Hua University",
number = "6",

}

TY - JOUR

T1 - Optimization of indoor environmental quality and ventilation load in office space by multilevel coupling of building energy simulation and computational fluid dynamics

AU - Fan, Yunqing

AU - Ito, Kazuhide

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The fundamentals, implementation, and application of an integrated simulation as an approach for predicting the indoor environmental quality for an open-type office and for quantifying energy saving potential under optimized ventilation are presented in this paper. An integrated simulation procedure based on a building energy simulation and computational fluid dynamics, incorporated with a conceptual model of a CO2 demand controlled ventilation (DCV) system and proportional integral control of an air conditioning system as the optimization assessment of conceptual model in the occupied zone, was developed. This numerical model quantitatively exhibits energy conservation and represents the non-uniform distribution patterns of airflow properties and CO2 concentration levels in terms of energy recovery and indoor thermal comfort. By means of an integrated simulation, the long-term energy consumption of heating, ventilation, and air conditioning systems are predicted precisely and dynamically. Relative to a ventilation system with a basic constant air volume supply rate characterized by a fixed outdoor air intake rate from the ceiling supply opening, the optimized CO2-DCV system coupled with energy recovery ventilators reduced total energy consumption by 29.1% (in summer conditions) and 40.9% (winter).

AB - The fundamentals, implementation, and application of an integrated simulation as an approach for predicting the indoor environmental quality for an open-type office and for quantifying energy saving potential under optimized ventilation are presented in this paper. An integrated simulation procedure based on a building energy simulation and computational fluid dynamics, incorporated with a conceptual model of a CO2 demand controlled ventilation (DCV) system and proportional integral control of an air conditioning system as the optimization assessment of conceptual model in the occupied zone, was developed. This numerical model quantitatively exhibits energy conservation and represents the non-uniform distribution patterns of airflow properties and CO2 concentration levels in terms of energy recovery and indoor thermal comfort. By means of an integrated simulation, the long-term energy consumption of heating, ventilation, and air conditioning systems are predicted precisely and dynamically. Relative to a ventilation system with a basic constant air volume supply rate characterized by a fixed outdoor air intake rate from the ceiling supply opening, the optimized CO2-DCV system coupled with energy recovery ventilators reduced total energy consumption by 29.1% (in summer conditions) and 40.9% (winter).

UR - http://www.scopus.com/inward/record.url?scp=84906318500&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906318500&partnerID=8YFLogxK

U2 - 10.1007/s12273-014-0178-3

DO - 10.1007/s12273-014-0178-3

M3 - Article

AN - SCOPUS:84906318500

VL - 7

SP - 649

EP - 659

JO - Building Simulation

JF - Building Simulation

SN - 1996-3599

IS - 6

ER -