Elsevier

Building and Environment

Volume 43, Issue 8, August 2008, Pages 1361-1372
Building and Environment

Modelling of cowl performance in building simulation tools using experimental data and computational fluid dynamics

https://doi.org/10.1016/j.buildenv.2007.01.038Get rights and content

Abstract

Exhaust cowls are used in conjunction with hybrid ventilation systems to efficiently convert wind energy into negative pressure and thus minimize the electrical energy required by the extract fan. Yet the fact that cowl performance is largely dictated by operating conditions imposes particularly stringent demands on modelling. This paper demonstrates, by way of a concrete example, the need for and potential benefits of a new methodological approach to the modelling of cowls. The study focuses on a specific modelling strategy, applied within a building simulation program, for a cowl used in a hybrid ventilation system. The method is progressively simplified to produce four variants, which chiefly vary according to their level of detail and, hence, the associated modelling effort. Wind pressure coefficients at facade, above roof and in the cowl are needed for all model variants. Some of the investigated variants rely on CFD computations of airflow around the building to determine these values. This study uses the example of a single-family house (SFH) to identify those criteria requiring particular attention in the performance of CFD numerical flow analyses. All four variants are examined on the basis of this example to determine which simplifications to the model are appropriate and permissible without unduly compromising the accuracy of the results.

Introduction

Ventilation losses and fan operation account for almost 10% of total energy use in the EU. Hybrid ventilation systems are expected to yield significant energy savings in the long term. A hybrid ventilation system is defined as a two-mode system that is controlled to minimize energy consumption while maintaining acceptable indoor air quality and thermal comfort. The two modes refer to natural and mechanical driving forces.

In order to implement hybrid ventilation in the residential sector, a fuller knowledge of the working principles and techniques of these systems is vital. The RESHYVENT project [1], which ran from January 2002 to December 2004 as part of the EU Fifth Framework Programme, focused on the investigation and development of demand-controlled hybrid ventilation systems in residential buildings. The cluster project brought together four industrial consortia with a multidisciplinary scientific group. Each of the industrial consortia had developed, constructed and evaluated complete prototypes of a hybrid ventilation system for a specific climate. A multidisciplinary group comprising 12 partners from research institutes, consultancy companies and universities carried out the scientific research for the development of these systems.

Roof cowls are used to shelter the ventilation exhaust duct from rain- and wind-induced flow reversal. Wind acting on the end of a cylindrical duct produces a suction effect through the locally accelerated airflow around the duct. This effect can be more or less enhanced by the roof cowl, depending on its shape.

One of the many technical issues warranting further investigation and examined in this project was the suction performance of exhaust duct cowls for hybrid ventilation systems. As hybrid ventilation systems operate with low driving pressures, the pressure augmentation and suction performance of the cowl must be determined more carefully than for purely mechanical exhaust systems.

The ventilation system design tools presently developed by Standards Committee CEN/TC 156 WG7 consider the suction effect of cowls in terms of their continuous and monotonous pressure difference curves. This approach has not, however, been shown to be adequately sophisticated for the dimensioning and for performance assessments of hybrid ventilation systems using transient building and ventilation system computer simulations. This has prompted the development of a more sophisticated approach, based on the following three elements: (a) cowl performance data, determined in wind tunnel tests in accordance with ventilation component test standards, (b) local data on wind airflow above the roof, determined by CFD, (c) an interface between CFD and the building and ventilation simulation design tool.

This paper presents four methods for determining cowl performance in function of the flow rates in the duct and the wind-induced flow field above the roof. It further describes how these methods can be integrated and used in building simulation tools. Typical airflow patterns over a pitched roof, with the associated parameters air velocity (direction, speed) and pressure coefficient, are shown for several wind directions. The paper also examines the impact of simplifications in cowl modelling on the results of hybrid ventilation system performance assessment studies.

Section snippets

Methodology

The suction effect of a cowl chiefly depends on the prevailing wind flow conditions, cowl characteristics and exhaust mass flow rate. The value of some of these parameters varies during the computation period. Moreover, interdependencies exist in that the exhaust mass flow is itself influenced by the suction effect. A time-dependent computational method therefore needs to be adopted in modelling such systems. As thermal conditions in the building may also affect the air mass flow rate and

Case study: analysis of wind-induced airflow above roof

The impact of the various model variants described in Section 2.1 was investigated using the example of a SFH. This necessitated the performance of a CFD analysis for the specific building geometry to determine the airflow around the building. The relevant literature gives the airflow patterns and associated wind pressure coefficients only for certain building configurations and seldom provides details of local air velocity and flow direction above the roof. A commercial CFD application was

Case study: multizone airflow modelling

To study the impact of Model Variants A–D, each was applied to a SFH with the geometry and size shown in Fig. 5. As no integration in a thermal building simulation program is intended for the time being, a number of simplifications were made to permit use of the EES (Engineering Equation Solver [21]) program for computation.

First, a smart hybrid ventilation system was assumed, which uses automatic control technology to limit the maximum airflow rate and sets the fan to the ideal speed in the

Airflow fields determined by CFD analysis

The airflow patterns above and around the building were computed and analysed for various wind directions using CFD techniques. As Table 5 indicates, the following parameters derived from the CFD analysis were used for some model variants:

  • wind pressure coefficient above roof Cp,r (for Variants B–D);

  • local air velocity above roof Uloc (for Variant D);

  • local incident flow angle above roof ϕ (for Variant D).

These parameters always relate to the cowl position. Fig. 9, Fig. 10, Fig. 11 show isolines

Conclusions

This study highlights the need for a new approach to the modelling of cowls incorporated in hybrid ventilation systems. The aim of any such model is to achieve as faithful as possible a representation of reality using the experimentally determined cowl characteristics and effectively prevailing wind conditions.

Experiments show the suction effect of cowls to depend on both local wind velocity and local wind direction. Ideally, therefore, the airflow fields around the building need to be known

Acknowledgements

This work has been partially funded by the Swiss State Secretariat for Education and Research (contract BBW 01.0046, EU project RESHYVENT) and by Empa. Contributions by the participants of the RESHYVENT project and by our colleagues at Empa are gratefully acknowledged.

References (21)

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