Mathematics
Scientific paper
Mar 1978
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1978stin...7825025k&link_type=abstract
Unknown
Mathematics
Flat Surfaces, Insolation, Solar Radiation, Mathematical Models, Slopes, Sunlight
Scientific paper
An empirical study was performed to evaluate the validity of various insolation models which employ either an isotropic or an anisotropic distribution approximation for sky light when predicting insolation on tilted surfaces. Data sets of measured hourly insolation values were obtained over a six-month period using pyranometers which received diffuse and total solar radiation on a horizontal plane and total radiation on surfaces tilted toward the equator at 37 deg and 60 deg angles above the horizon. Data on the horizontal surfaces were used in the insolation models to predict insolation on the tilted surface; comparisons of measured versus calculated insolation on the tilted surface were examined to test the validity of the sky light approximations. It was found that the Liu-Jordan isotropic distribution model provides a good fit to empirical data under overcast skies but underestimates the amount of solar radiation incident on tilted surface under clear and partly cloudy conditions. The anisotropic-clear-sky distribution model by Temps and Coulson provides a good prediction for clear skies but overestimates the solar radiation when used for cloudy days. An anisotropic-all-sky model was formulated in this effort which provided excellent agreement between measured and predicted insolation throughout the six-month period.
No associations
LandOfFree
Evaluation of models to predict insolation on tilted surfaces does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Evaluation of models to predict insolation on tilted surfaces, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Evaluation of models to predict insolation on tilted surfaces will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1083589