SunPower is currently shipping the highest efficiency commercial solar panel in the 20% efficiency E-series with high reliability, and proven high energy yield per rated watt [1,2]. This paper discusses the next generation SunPower solar cell, the Maxeon Gen III used in the recently launched X-series modules. Higher efficiency, improved field performance from lower temperature coefficient, improved reliability due to low reverse breakdown voltage and a uniform dark appearance are the characteristics of this technology. The SunPower Maxeon Gen III solar cell is a high efficiency design intended to reduce cost throughout the value chain by improved performance. The improved efficiency is due to a passivated contact structure lowering the cell emitter recombination to approximately 15 fA/cm 2 [3]. The process is currently in full scale manufacturing at approximately 100 MW per year in the SunPower's Fab2 production facility in the Philippines.
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.
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