NDLI: A standardized approach to PV system performance model validation

Content Provider	IEEE Xplore Digital Library
Author	Stein, J.S. Cameron, C.P. Bourne, B. Kimber, A. Posbic, J. Jester, T.
Copyright Year	2010
Description	Author affiliation: SunPower Corporation, Richmond, CA, USA (Bourne, B.) \|\| Sandia National Laboratories, Albuquerque, NM, USA (Stein, J.S.; Cameron, C.P.) \|\| BP Solar, Fredrick, MD, USA (Posbic, J.) \|\| Hudson Clean Energy Partners, Teaneck, NJ, USA (Jester, T.) \|\| First Solar, Oakland, CA, USA (Kimber, A.)
Abstract	PV performance models are used to predict how much energy a PV system will produce at a given location and subject to prescribed weather conditions. These models are commonly used by project developers to choose between module technologies and array designs (e.g., fixed tilt vs. tracking) for a given site or to choose between different geographic locations, and are used by the financial community to establish project viability. Available models can differ significantly in their underlying mathematical formulations and assumptions and in the options available to the analyst for setting up a simulation. Some models lack complete documentation and transparency, which can result in confusion on how to properly set up, run, and document a simulation. Furthermore, the quality and associated uncertainty of the available data upon which these models rely (e.g., irradiance, module parameters, etc.) is often quite variable and frequently undefined. For these reasons, many project developers and other industry users of these simulation tools have expressed concerns related to the confidence they place in PV performance model results. To address this problem, we propose a standardized method for the validation of PV system-level performance models and a set of guidelines for setting up these models and reporting results. This paper describes the basic elements for a standardized model validation process adapted especially for PV performance models, suggests a framework to implement the process, and presents an example of its application to a number of available PV performance models.
Starting Page	001079
Ending Page	001084
File Size	711641
Page Count	6
File Format	PDF
ISBN	9781424458905
ISSN	01608371
e-ISBN	9781424458929
DOI	10.1109/PVSC.2010.5614696
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature measurement Mathematical model Data models Atmospheric modeling Arrays Meteorology Predictive models
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering

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