The focus of this study was to design and build a guarded hot box to test the R-Value of building materials. The Riverside Energy Efficiency Laboratory is looking to expand their testing capabilities by including this service. Eventually, the laboratory will become energy star certified. A guarded hot box facility consists of two boxes maintained at specific temperatures and a guard box around each one that is maintained at the same temperature as the box it surrounds. The ASTM C1363 standard was used as guide for the construction and testing of sample specimen. This standard called for an air velocity profile uniform within 10 percent of the average. Velocity tests were performed with various different configurations to give a uniform velocity. Although the velocity did not meet standards, the configuration chosen included a piece of 1/4" pegboard placed 2" away from the top and the bottom of the inner box. By using the known overall heat added and removed from the system, as well as all the heat losses the heat transferred through the specimen and its R-Value can be calculated. The uncertainty of the R-Value and the accuracy of the testing facility gave conflicting results. Future experiments will use improved testing methods that include differential thermocouples to obtain better uncertainty for the R-Value calculations.

Green roofs have, in the past 15 years or so, gained increasing acceptance as a means of replacing or offsetting the lost of green space due to urban development and urban sprawl. Green roof systems can provide numerous potential benefits, both public and private, including improved control of a building’s internal temperatures with reduced power use. The effectiveness of Green roofs at decreasing energy use in buildings in warm climates is well known. However, their thermal performance in cold climate conditions is not well known, but is of particular interest in regions such as in Eastern Ontario where Green roofs are rapidly gaining popularity. This thesis presents an initial step in understanding the thermal behaviour of currently used Green roof systems in cold climate conditions, and quantifying the thermal benefits, if any, to be gained from the installation of these systems in cold regions as compared against a typical conventional roofing system. A review of available literature is presented which discusses the various benefits of Green roofs. A novel hot box has been designed and constructed, and thermal testing of two Green roofs and a conventional flat roof using the new apparatus are presented and discussed. The data are used to estimate the potential energy savings that might be expected with the installation of a Green roof (such as those tested) on a flat roofed commercial building in the Kingston area. The data suggest that Green roofs may provide a marginal (10% to 24%) thermal benefit as compared with a conventional flat roof under cold climate conditions. This benefit could translate into a $0.09 savings per square metre of roof area in total heat energy costs on an annual basis. Recommendations for future work in this research area are provided. / Thesis (Master, Civil Engineering) -- Queen's University, 2007-09-23 21:14:30.381

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Presently, there are concerns that buildings in the USA under-performs in terms of energy efficiency when compared with the original design specifications. A significant percentage of the energy loss in these buildings is associated with the building’s envelope. This study provides a qualitative and analytical understanding of the R-value, which indicates the thermal performance of the elements that make up a building envelope. Infrared thermography is used as a methodology to assess the thermal performance of envelopes of ten buildings on East Tennessee State University Campus. A Fluke Ti25 infrared hand-held camera and a DJI phantom-2 drone mounted with FLIR Vue Pro infrared camera were used for data collection. Data analyses were carried out using ‘Smartview’ and ‘FLIR Reporter Pro’ software. The data analyses revealed energy loss, insulation deficiencies, the associated energy costs of the inefficiencies and the potential savings that could result from correcting these deficiencies in the evaluated building’s envelopes.

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Currently, ASHRAE has determined the zone method and modified zone method are appropriate calculation methods for materials with a high difference in conductivity, such as cold-formed steel (CFS) walls. Because there is currently no standard U-Factor calculation method for CFS walls, designers and code officials alike tend to resort to the zone method. However, the zone method is restricted to larger span assemblies because the zone factor coefficient is 2.0. This tends to overestimate the amount of surface area influenced by CFS. The modified zone method is restricted to C-shaped stud, clear wall assemblies with framing factors between 9 and 15%. The objective of the research is to narrow the gap of knowledge by re-examining the modified zone method in order to more accurately determine R-Values and U-Factors for CFS wall assemblies with whole wall framing factor percentages of 22% and above.

Pollen spectra found in sediments enable the research of quantitative changes in vegetation composition in the past. The fact is conditioned upon assumption of unchangeable linear relationship between abundance of pollen and the vegetation that is responsible for its production. Calibration of this relationship is experimentally performed on modern pollen samples and current vegetation. Relative pollen produktivity etimates (PPEs) represents basic parameters for the conversion of proportional pollen data into the vegetational ones. Their knowledge is indispensible for the quantitative vegetation restoration and for the simulating of the processes of pollen dispersion and deposition. PPEs estimation is performed by ERV model which corrects nonlinear relationship of proportional pollen and vegetation data back to the linear relationship. ERV model estimates PPEs values together with values of pollen background by maximum likelihood method. Knowledge of PPEs of main tree species is crucial for the understanding of processes which takes place on the level of landscape scale. Model area of Křivoklátsko was selected due to its high forest coverage and tree diversity. Twenty-four localities were chosen upon stratified random selection. Moss polsters containing modern pollen loading were taken and detailed...

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