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Methodology for the Evaluation of Natural Ventilation in ... - Cham

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Chapter 5.0Dimensional Analysis and SimilitudeCerta<strong>in</strong> scal<strong>in</strong>g issues need to be resolved be<strong>for</strong>e any conclusions can be drawn from <strong>the</strong>comparison <strong>of</strong> reduced-scale model<strong>in</strong>g <strong>of</strong> any k<strong>in</strong>d and <strong>the</strong> full-scale application. Whenevaluat<strong>in</strong>g models at scales smaller than <strong>the</strong> prototype, <strong>the</strong> goal is to replicate <strong>the</strong> behavior <strong>of</strong>full-scale prototype. This comparison is done by measur<strong>in</strong>g <strong>the</strong> relevant parameters <strong>in</strong> <strong>the</strong>reduced-scale model and by obta<strong>in</strong><strong>in</strong>g <strong>the</strong> values <strong>for</strong> <strong>the</strong> prototype us<strong>in</strong>g a known scale factor.Both dimensional analysis and similitude must be established <strong>for</strong> this comparison, as one cannotdef<strong>in</strong>e <strong>the</strong> o<strong>the</strong>r alone. Two systems are said to be similar if <strong>the</strong>ir features can be mapped po<strong>in</strong>tby-po<strong>in</strong>t,from one region to ano<strong>the</strong>r region. These regions do not have to be <strong>of</strong> <strong>the</strong> same size,and <strong>of</strong>ten one is many times smaller. By mak<strong>in</strong>g <strong>the</strong> equations that describe <strong>the</strong> flowdimensionless, <strong>the</strong> outcome will result <strong>in</strong> key dimensionless parameters that provide solutionsthat are similar, if <strong>the</strong> result<strong>in</strong>g dimensionless parameters are equal. Dimensionless relationshipsare validated through <strong>the</strong> analysis <strong>of</strong> equations, while similitude describes <strong>the</strong> similarity <strong>of</strong>behavior or phenomena. There are some limitations to this approach <strong>in</strong> meet<strong>in</strong>g all similarityrequirements, as an exact match is virtually impossible at anyth<strong>in</strong>g o<strong>the</strong>r than <strong>the</strong> same scale as<strong>the</strong> prototype, which will be addressed later <strong>in</strong> this chapter.Experiments are carried out with models <strong>for</strong> a variety <strong>of</strong> reasons. Model studies can provide datawhile avoid<strong>in</strong>g costly mistakes and can be used to obta<strong>in</strong> <strong>in</strong><strong>for</strong>mation that will assist <strong>in</strong> <strong>the</strong>design <strong>of</strong> <strong>the</strong> prototype. Models are relatively <strong>in</strong>expensive to build and to modify both <strong>in</strong> layoutand <strong>in</strong> construction as compared to full-scale versions. But it is important to first understand <strong>the</strong><strong>the</strong>ory <strong>of</strong> <strong>the</strong> phenomenon be<strong>in</strong>g studied be<strong>for</strong>e attempt<strong>in</strong>g to build and evaluate a model <strong>for</strong> agiven problem statement. It is not useful, and <strong>in</strong> fact wasteful, to resort to a model study if <strong>the</strong>results can be accurately predicted by <strong>the</strong>ory. Often models are used to assess spaces that aredifficult to evaluate, such as spaces <strong>in</strong> which <strong>the</strong>re is not enough control <strong>in</strong> <strong>the</strong> prototype or <strong>in</strong>cases where it is too expensive to outfit <strong>the</strong> space with <strong>the</strong> required <strong>in</strong>strumentation (Szirtes1998). Once <strong>the</strong> relevant dimensionless products are found from an analysis <strong>of</strong> <strong>the</strong> govern<strong>in</strong>gequations used <strong>in</strong> describ<strong>in</strong>g <strong>the</strong> phenomena, <strong>the</strong>n a series <strong>of</strong> experiments can <strong>the</strong>n be per<strong>for</strong>medto f<strong>in</strong>d <strong>the</strong> functional relationship between <strong>the</strong> dimensionless parameters. This relationship can<strong>the</strong>n be used over a much wider range <strong>of</strong> conditions than those employed <strong>for</strong> <strong>the</strong> experiments. Itis crucial that <strong>the</strong> relevant dimensionless parameters are identified, <strong>in</strong> addition to <strong>the</strong> range <strong>in</strong>which <strong>the</strong>y can be used if an exact match is not possible. There are many variables <strong>in</strong>volved andsome means must be used to elim<strong>in</strong>ate those <strong>of</strong> lesser importance.5.1 Govern<strong>in</strong>g EquationsFor both <strong>the</strong> full scale and <strong>the</strong> reduced scale physical models and <strong>the</strong> CFD simulation, <strong>the</strong>re areequations that can be used to describe <strong>the</strong> flow <strong>of</strong> <strong>the</strong> fluid as well as <strong>the</strong> heat transfer. Theseequations are <strong>the</strong> conservation <strong>of</strong> mass, or cont<strong>in</strong>uity equation, <strong>the</strong> conservation <strong>of</strong> momentum,or Navier-Stokes equation, and <strong>the</strong> conservation <strong>of</strong> energy. The models were evaluated <strong>for</strong>conditions at steady state.83

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