A Performance Model for Bifacial PV Modules

Daniel Riley; Clifford Hansen; Joshua Stein; Matthew Lave; Johnson Kallickal; Bill Marion; Fatima Toor

doi:10.1109/PVSC.2017.8366045

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Conference proceeding

A Performance Model for Bifacial PV Modules

Daniel Riley, Clifford Hansen, Joshua Stein, Matthew Lave, Johnson Kallickal, Bill Marion and Fatima Toor

2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), pp.3348-3353

Photovoltaic Specialist Conference (PVSC), 44 (Washington, DC, USA, 06/25/2017–06/30/2017)

06/2017

DOI: 10.1109/PVSC.2017.8366045

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https://www.osti.gov/biblio/1367197View

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Abstract

Sandia National Laboratories, the National Renewable Energy Laboratory, and the University of Iowa are collaborating to develop a performance model for bifacial PV modules. As with monofacial PV modules, a bifacial PV model consists of sequential operation of the component sub-models. Bifacial PV modules accept light on both their front and rear surfaces which presents a unique modeling challenge. This paper describes the approach of Sandia, NREL, and the University of Iowa to create a bifacial PV model and verify its accuracy with measured field data.

Analytical models

bifacial

Computational modeling

Data models

Laboratories

Mathematical model

model

performance

photovoltaic modules

Predictive models

Temperature

Details

Title: Subtitle: A Performance Model for Bifacial PV Modules
Creators: Daniel Riley - Sandia National Laboratories
Clifford Hansen - Sandia National Laboratories
Joshua Stein - Sandia National Laboratories
Matthew Lave - Sandia National Laboratories
Johnson Kallickal - Sandia National Laboratories
Bill Marion - National Laboratory of the Rockies
Fatima Toor - University of Iowa
Resource Type: Conference proceeding
Publication Details: 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), pp.3348-3353
Conference: Photovoltaic Specialist Conference (PVSC), 44 (Washington, DC, USA, 06/25/2017–06/30/2017)
DOI: 10.1109/PVSC.2017.8366045
Publisher: IEEE
Language: English
Date published: 06/2017
Academic Unit: Electrical and Computer Engineering; Physics and Astronomy
Record Identifier: 9984197903502771

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