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/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10.1016/S1352-2310(01)00223-0 Atmospheric Environment, 35, pp. 4479-4488, 2001-04-03 Validation of VALIDATION OF THE SURFACE SINK MODEL FOR SORPTIVE INTERACTIONS BETWEEN VOCS AND INDOOR MATERIALS AbstractAdsorption and desorption by indoor surface materials can have significant impacts on the level of volatile organic compounds (VOCs) indoors. The surface sink model (SSM) was developed to account for these interactions in an indoor air quality model. Two types of scale-up experiments were conducted to validate the SSM that was developed based on small-scale chamber experiments. Conflicting results were obtained from a large-scale laboratory experiment and a field test. From the large-scale laboratory experiment involving three materials and three chemicals, relatively good agreement was observed between measurements and predictions by the SSM. In contrast, the level of sorption in the field test was observed to be at least 9 times greater than was predicted by the SSM.

It has long been recognised that the lit environment in open-plan office space is influenced by the density and properties of the installed furniture. Indeed, the Lumen Method includes a procedure involving look-up tables to account for the effects of workstation size, partition height, and partition reflectance on the mean working-plane illuminance. As part of a larger project on openplan office environments, we used the Lightscape TM simulation tool to further explore the effect of office design on the lit environment in workstations. The office design variables of interest were workstation size, partition height, workstation reflectance, ceiling reflectance, and ceiling height. In addition to desktop illuminance, our outcome variables included illuminance distribution and partition luminance. We performed simulations for combinations of these parameters for fourteen common lighting designs for North American open-plan office space, including direct prismatic and parabolic luminaires, and indirect and direct/indirect luminaires. The results are expressed in simple linear or curvilinear relationships between office design variables and luminous variables. Results follow expected trends, and are consistent with previously published work in this area. Furthermore, in going beyond mean desktop illuminance, our results extend knowledge of the relationships between office design variables and the luminous environment.

/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. Insulation, 11, pp. 120-43, 1987-10 Experimental procedures for determination of dynamic response using system identification techniques Haghighat, F.; Sander, D. M. Journal of Thermal ABSTRACTMethods for determining dynamic thermal response using systems identification techniques are discussed. A test using a binary multi-frequency sequence as input to determine the response of a material sample is described. Z-transfer function coefficients are obtained using both frequency response analysis and least squares regression in time domain.