Basic air infiltration

Lyberg, Mats D.

doi:10.1016/s0360-1323(96)00048-0

Cited by 17 publications

(11 citation statements)

References 5 publications

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“…It is also crucial that the pressure differences across exterior walls be considered in high-rise buildings, as they affect the heating load from infiltration and adequate ventilation planning. Stack pressure differences have often been used as a major variable in previous infiltration calculation models (Liddament 1986, Lyberg 1997), though they are limited in the case of low-rise buildings. The use of network models such as COMIS (Feustel 1990) and CONTAM (Dols et al 2002) is an effective way to evaluate the pressure distribution in high-rise buildings, but this requires accurate data for the many leakage variables and can only be employed by a small number of experts.…”

Section: Introductionmentioning

confidence: 99%

Simplified Prediction Method of Stack-Induced Pressure Distribution in High-rise Residential Buildings

Seok

Yeo

et al. 2009

Journal of Asian Architecture and Building Engineering

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This paper presents a simple prediction strategy for estimating the pressure distribution in high-rise residential buildings, using key parameters that affect the magnitude and distribution of stack pressure. The strategy is composed of two procedures: first, the stack pressure is predicted from parameters such as the height of the elevator shaft, the location of the neutral pressure level for each shaft, and the interior temperature of each shaft. Then, the pressure distribution of each floor is calculated using the equivalent leakage areas of the exterior and interior walls, by which finally the pressure difference across the exterior walls can be estimated. To verify the feasibility of this strategy, the predicted pressure differences across exterior walls were compared to measured data of a high-rise residential building with multiple elevator zoning. The results show that this strategy can predict pressure distribution quickly with satisfactory results for both the architectural designer and HVAC engineer.

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Section: Introductionmentioning

confidence: 99%

Simplified Prediction Method of Stack-Induced Pressure Distribution in High-rise Residential Buildings

Seok

Yeo

et al. 2009

Journal of Asian Architecture and Building Engineering

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“…The effect of infiltration through building envelope [12] and large openings [13] can be calculated if the characteristics of the building envelope and pressure difference over the outdoor and indoor air are known. The infiltration calculation requires data on local wind speed, pressure and air tightness of the structures, which are seldom available.…”

Section: Review Of Air-water Systemsmentioning

confidence: 99%

A feasibility study of a ventilated beam system in the hot and humid climate: a case-study approach

Kosonen¹,

Tan²

2005

Building and Environment

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“…This article applies DOMVENT3D, a model of infiltration and exfiltration through any number of façades developed initially by Lowe [23] on the basis of a theoretical formulation by Lyberg [24], and subsequently extended by Jones et al [25]. It assumes two things about those façades: all are uniformly porous; and the pressure distribution over a vertical surface is linear.…”

Section: Modelling Infiltration and Exfiltration Heat Lossmentioning

confidence: 99%

Assessing uncertainty in housing stock infiltration rates and associated heat loss: English and UK case studies

Jones

Das

Chalabi

et al. 2015

Building and Environment

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Strategies to reduce domestic heating loads by minimizing the infiltration of cold air through adventitious openings located in the thermal envelopes of houses are highlighted by the building codes of many countries. Consequent reductions of energy demand and CO 2 e emission are often unquantified by empirical evidence. Instead, a mean heating season infiltration rate is commonly inferred from an air leakage rate using a simple ratio scaled to account for the physical and environmental properties of a dwelling. The scaling does not take account of the permeability of party walls in conjoined dwellings and so cannot differentiate between the infiltration of unconditioned ambient air that requires heating, and conditioned air from adjacent dwellings that does not.A stochastic method is presented that applies a theoretical model of adventitious infiltration to predict distributions of mean infiltration rates and the associated total heat loss in any stock of dwellings during heating hours. The method is applied to the English and UK housing stocks and provides probability distribution functions of stock infiltration rates and total heat loss during the heating season for two extremes of party wall permeability. The distributions predict that up to 79% of the current English stock could require additional purpose-provided ventilation to limit negative health consequences. National models predict that fewer dwellings are under-ventilated. The distributions are also used to predict that infiltration is responsible for 3-5% of total UK energy demand, 11-15% of UK housing stock energy demand, and 10-14% of UK housing stock carbon emissions.3 HIGHLIGHTS  Heating season infiltration and heat loss distributions for English housing stock. Up to 79% of English dwellings may be under ventilated. Exfiltration estimated to be responsible for 3-5% of total UK energy demand. Exfiltration estimated to be responsible for 11-15% UK housing stock energy demand. Exfiltration estimated to be responsible for 10-14% UK housing stock CO 2 emissions.

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Basic air infiltration

Cited by 17 publications

References 5 publications

Simplified Prediction Method of Stack-Induced Pressure Distribution in High-rise Residential Buildings

Simplified Prediction Method of Stack-Induced Pressure Distribution in High-rise Residential Buildings

A feasibility study of a ventilated beam system in the hot and humid climate: a case-study approach

Assessing uncertainty in housing stock infiltration rates and associated heat loss: English and UK case studies

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