
Proceedings Paper
Photovoltaic performance models: an evaluation with actual field dataFormat | Member Price | Non-Member Price |
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Paper Abstract
Prediction of energy production is crucial to the design and installation of the building integrated
photovoltaic systems. This prediction should be attainable based on the commonly available parameters
such as system size, orientation and tilt angle. Several commercially available as well as free downloadable
software tools exist to predict energy production. Six software models have been evaluated in this study
and they are: PV Watts, PVsyst, MAUI, Clean Power Estimator, Solar Advisor Model (SAM) and
RETScreen. This evaluation has been done by comparing the monthly, seasonaly and annually predicted
data with the actual, field data obtained over a year period on a large number of residential PV systems
ranging between 2 and 3 kWdc. All the systems are located in Arizona, within the Phoenix metropolitan
area which lies at latitude 33° North, and longitude 112 West, and are all connected to the electrical grid.
Paper Details
Date Published: 10 September 2008
PDF: 9 pages
Proc. SPIE 7048, Reliability of Photovoltaic Cells, Modules, Components, and Systems, 70480W (10 September 2008); doi: 10.1117/12.794245
Published in SPIE Proceedings Vol. 7048:
Reliability of Photovoltaic Cells, Modules, Components, and Systems
Neelkanth G. Dhere, Editor(s)
PDF: 9 pages
Proc. SPIE 7048, Reliability of Photovoltaic Cells, Modules, Components, and Systems, 70480W (10 September 2008); doi: 10.1117/12.794245
Show Author Affiliations
Govindasamy TamizhMani, Arizona State Univ. (United States)
John-Paul Ishioye, Arizona State Univ. (United States)
John-Paul Ishioye, Arizona State Univ. (United States)
Arseniy Voropayev, Arizona State Univ. (United States)
Yi Kang, Arizona State Univ. (United States)
Yi Kang, Arizona State Univ. (United States)
Published in SPIE Proceedings Vol. 7048:
Reliability of Photovoltaic Cells, Modules, Components, and Systems
Neelkanth G. Dhere, Editor(s)
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