Automated Generation of Hourly Design Sequences
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Schmitt, David D.
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University of Wisconsin-Madison
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Abstract
The influence of climatic conditions on building structures can be significant. For
example, outdoor air dry bulb temperature influences transmission gains and losses through
the building envelope, ventilation sensible loads, and performance of air cooled heat
pumping systems. The magnitude and variation of outdoor air humidity has an influence on
moisture migration through building envelopes and ventilation latent loads. The character of
wind (speed and direction) can significantly influence building envelope infiltration rates.
Extreme sequences of solar radiation are important due to its influence on building envelope
heat gains and solar gains through building fenestration systems.
To evaluate a specific design, a sequence of intervals on the order of the system's
time constant is needed. Extreme hourly weather data, are readily available but are only
appropriate when thermal capacitance effects are negligible. In addition, "binned" data are of
limited usefulness since the temporal nature of the weather data is lost. Examination of long
term hourly data could be computationally difficult because the set may be 30 or more years.
If a suitable reporting location is not available, interpolation between stations may be
required, introducing additional uncertainty into the energy calculations.
To alleviate these difficulties a methodology and a computer program are developed
to synthesize extreme weather sequences of dry bulb temperature, humidity ratio, wind speed
and total horizontal radiation for a given time of the year, location and sequence duration
from one to seven days using readily available data as inputs.
Description
Under the supervision of Professors Sanford Klein and Douglas Reindl; 321pp.
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Citation
Schmitt, D.D. (1998). Automated Generation of Hourly Design Sequences. Master's Thesis, University of Wisconsin-Madison.
Sponsorship
Funded by the American Society of Heating,
Refrigeration and Air Conditioning Engineers.