Natural ventilation performance of family building in cold climate during windy days
1
Politechnika Gdańska
Submission date: 2017-11-20
Acceptance date: 2018-01-16
Online publication date: 2018-01-16
Publication date: 2018-03-12
Corresponding author
Diagnostyka 2018;19(1):103-116
KEYWORDS
TOPICS
ABSTRACT
Adequately designed natural ventilation is the cheapest and easiest way to effectively remove indoor pollutants and keep the fresh air inside a building. A prediction of performance and effectiveness of ventilation in order to determine the design of a ventilation system can provide real and long term cost savings. The paper presents results of performance (air change rate ACH) and effectiveness (CO2 concentration in the breathing zone and temperature distribution ) of natural ventilation for a building with inlet gap measured for the transitional season (between the heating and the summer season). The measurements were performed during a windy period. The test apartment was located in cold climate. The measurement system measured local climate conditions, indoor climate conditions and air velocities in both vent inlet and outlet.
REFERENCES (36)
2.
Jarząbska-Antczak R, Niedostatkiewicz M. Projektowanie i diagnostyki wentylacji grawitacyjnej. Wybrane problemy. Polskie Centrum Budownictwa Difin i Muller sp. z o.o., 1-80, Warszawa, 2017.
3.
Krishan A. Climate responsive architecture: a design handbook for energy efficient buildings, Tata McGraw-Hill Pub. Co., New York, 2001.
5.
Okisalo J, Kurnitski J, Korpi M, Kalamees T, Vinha J. Building leakage, infiltration, and energy performance analyses for Finnish detached houses. Building and Environment 2009; 44:377-387.
6.
Gładyszewska-Fiedoruk K, Gajewski A. Effect of wind on stack ventilation performance. Energy and Buildings 2012; 51: 242-247. http://dx.doi.org/10.1016/j.en....
7.
Krzaczek M, Florczuk J, Tejchman J. Field investigations of stack ventilation in a residential building with multiple chimneys and tilted window in cold climate, Energy and Buildings, 2015; 103:48-61. http://dx.doi.org/10.1016/j.en....
8.
Bülow-Hübe H. Energy-Efficient Window Systems. Doctoral Dissertation. ISSN 1103-4467. Lund University, Lund Institute of Technology, Lund 2001.
9.
PN-83/B-03430 (including revision A3:2000). Ventilation in collective dwelling places and public buildings – requirements, (in Polish).
10.
Dutton S, Shao L and Riffat S. Validation and parametric analysis of energy plus: air flow. Network model using Contam. Third National Conference of IBPSA-USA. Berkeley, California. July 30 – August 1, 2008.
11.
Stephen RK, Parkins LM and Woolliscroft M. Passive stack ventilation systems: design and installation. BRE Information Paper, July 1994.
13.
Chung KC, Hsu SP. Effect of ventilation pattern on room air and contaminant distribution. Building and Environment 2001;36:989-98.
14.
Fisk WJ, Faulkner D, Sullivan D, Bauman F. Air change effectiveness and pollutant removal efficiency during adverse mixing conditions. Indoor Air, 1997; 7:55-63.
15.
Lawrence TM, Braun JE. Evaluation of simplified models of CO2 concentrations in small commercial buildings. Building and Environment 2006; 41(2):184-94.
16.
Shi S, Chen C, Zhao B. Air infiltration rate distributions of residences in Beijing, Building and Environment, 2015; 92: 528-537, http://dx.doi.org/10.1016/j.bu... .
17.
Mora L, Gadgil AJ, Wurtz E. Comparing zonal and CFD model predictions of isothermal indoor airflows to experimental data, Indoor Air, 2003; 13: 77-85.
18.
Regulation of the Minister of Infrastructure and Development. Calculation methodology of building energy characteristics and method of preparing and patterns of energy characteristic certificates. Warsaw 2014 (in polish).
19.
Axley J. Introduction to the design of natural ventilation system loopequation, Proc. 19th AIVC Conf. Ventilation Technologies Urban Areas, 1998: 47-56.
20.
Cao G, Awbi H, Yao R, Fan Y, Siren K, Kosonen R, Zhang J. A review of the performance of different ventilation and airflow distribution systems in buildings. Buildings and Environment, 2014: 171-186. http://dx.doi.org/10.1016/j.bu....
21.
Sandberg M. Efficiency of general ventilation systems in residential and office building-concepts and measurements. In: Goodfellow HD, editor. Ventilation 85. Elsevier Science Publishers B.V. Amsterdam-Printed in The Netherlands; 1986.
22.
Awbi H, Gan G. Simulation of Solar Induced Ventilation, Second World Renewable Energy Congress. Solar and Low Energy Architecture, September 1992, Pergamon Press, Oxford.
25.
Lawrence TM, Braun JE. A methodology for estimating occupant CO2 source generation rates from measurements in small commercial buildings. Building and Environment, 2007; 42:623-639.
27.
Dascalaki E, Santamouris M, Bruant M, Balaras CA, Bossaer A, Ducarme D, Wouters P. Modeling large openings with COMIS, Energy and Buildings, 1999, 30: 105-115.
28.
Brown WG, Solvason KR. Natural convection through rectangular opening in partitions. 1. Vertical partitions. Heat and Mass Transfer 1962; 5: 859-868.
29.
Tan G, Glicksman LR. Application of integrating multi-zone model with CFD simulation to natural ventilation prediction, Energy and Buildings, 2005, 37: 1049-1057.
30.
Wegner J. Untersuchungen des natürlichen Luftwechsels in ausgeführten Wohnungen, die mit sehr fugendichten Fenstern ausgestattet sind, Gesundheits-Ingenieur, 1983; 1: 1-5.
31.
Roulet CA. Ventilation and Airflow in Buildings: Methods for Diagnosis and Evaluation, Earthscan Publications Ltd, London, 2008.
32.
Lugg AB, Batty WJ. Air Quality and Ventilation Rates in School Classrooms. I. Air Quality Monitoring, Building Services Engineering Research & Technology (BSERT), 1999; 20(1): 13-21.
33.
Roos A. The air exchange efficiency of the desk displacement ventilation concept-Theory, measurements and simulations, Proc. Roomvent’98, Stockholm, Sweden.1998; 1: 249-256,.
34.
Novoselac A, Srebric J. Comparison of air exchange efficiency and contaminant removal effectiveness as IAQ indices. ASHRAE Trans, 2003, 109: 339-349.
36.
Heiselberg P, Sandberg M. Convection from a slender cylinder in a ventilated room, Roomvent 90’, 1990, Norway.
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