TY - JOUR
T1 - Evaluation of scenario-specific modeling approaches to predict plane of array solar irradiation
AU - Moslehi, Salim
AU - Reddy, T Agami
AU - Katipamula, Srinivas
N1 - Funding Information:
U.S. Department of Energy (DE-AC05-76RL01830) The authors thank Mr. Joseph Hagerman, Technology Development Manager for his guidance and strong support of this work. We acknowledge George Hernandez from PNNL for his technical guidance. We also thank Dr. Frank Vignola from the Solar Radiation Monitoring Laboratory at University of Oregon and Dr. Andy Walkers from NREL for supplying us with much of the monitored solar and PV module power data used in this analysis.
Funding Information:
The authors acknowledge the Buildings Technologies Office of the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy [under Contract DE-AC05-76RL01830 thru Pacific Northwest National Laboratory] for supporting this research and development effort.
Publisher Copyright:
© 2017, Copyright © 2017 ASHRAE.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - Predicting thermal or electric power output from solar collectors requires knowledge of solar irradiance incident on the collector, known as plane of array irradiance. In the absence of such a measurement, plane of array irradiation can be predicted using relevant transposition models which essentially requires diffuse (or beam) radiation to be to be known along with total horizontal irradiation. The two main objectives of the current study are (1) to evaluate the extent to which the prediction of plane of array irradiance is improved when diffuse radiation is predicted using location-specific regression models developed from on-site measured data as against using generalized models; and (2) to estimate the expected uncertainties associated with plane of array irradiance predictions under different data collection scenarios likely to be encountered in practical situations. These issues have been investigated using monitored data for several U.S. locations in conjunction with the Typical Meteorological Year, version 3 database. An interesting behavior in the Typical Meteorological Year, version 3 data was also observed in correlation patterns between diffuse and total radiation taken from different years which seems to attest to a measurement problem. The current study was accomplished under a broader research agenda aimed at providing energy managers the necessary tools for predicting, scheduling, and controlling various sub-systems of an integrated energy system.
AB - Predicting thermal or electric power output from solar collectors requires knowledge of solar irradiance incident on the collector, known as plane of array irradiance. In the absence of such a measurement, plane of array irradiation can be predicted using relevant transposition models which essentially requires diffuse (or beam) radiation to be to be known along with total horizontal irradiation. The two main objectives of the current study are (1) to evaluate the extent to which the prediction of plane of array irradiance is improved when diffuse radiation is predicted using location-specific regression models developed from on-site measured data as against using generalized models; and (2) to estimate the expected uncertainties associated with plane of array irradiance predictions under different data collection scenarios likely to be encountered in practical situations. These issues have been investigated using monitored data for several U.S. locations in conjunction with the Typical Meteorological Year, version 3 database. An interesting behavior in the Typical Meteorological Year, version 3 data was also observed in correlation patterns between diffuse and total radiation taken from different years which seems to attest to a measurement problem. The current study was accomplished under a broader research agenda aimed at providing energy managers the necessary tools for predicting, scheduling, and controlling various sub-systems of an integrated energy system.
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U2 - 10.1080/23744731.2017.1406276
DO - 10.1080/23744731.2017.1406276
M3 - Article
AN - SCOPUS:85038634367
VL - 24
SP - 770
EP - 778
JO - Science and Technology for the Built Environment
JF - Science and Technology for the Built Environment
SN - 2374-4731
IS - 7
ER -