Removing Biases from Rotating Shadowband Radiometers

Frank Vignola; Josh Peterson; Fotis Mavromatakis; Stefan Wilbert; Anne Forstinger; Mike Dooraghi; Manajit Sengupta

doi:10.1063/1.5117714

Removing Biases from Rotating Shadowband Radiometers

Frank Vignola, Josh Peterson, Fotis Mavromatakis, Stefan Wilbert, Anne Forstinger, Mike Dooraghi, Manajit Sengupta

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus Citations

Abstract

Three types of biases are examined for a Rotating Shadowband Radiometer (RSR): temperature bias, spectral bias, and deviation from a Lambertian cosine response. A step by step method is presented to illustrate how to use this information to develop a model for adjustment algorithms for a RSR. Comparisons are made with a RSR adjusted using the model and measure direct normal, diffuse, and global irradiance.

Original language	American English
Number of pages	10
DOIs	https://doi.org/10.1063/1.5117714 https://doi.org/10.1063/1.5117714
State	Published - 25 Jul 2019
Event	24th SolarPACES International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2018 - Casablanca, Morocco Duration: 2 Oct 2018 → 5 Oct 2018

Conference

Conference	24th SolarPACES International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2018
Country/Territory	Morocco
City	Casablanca
Period	2/10/18 → 5/10/18

Bibliographical note

See NREL/CP-5D00-72278 for preprint

NREL Publication Number

NREL/CP-5D00-74708

Keywords

Lambertian cosine response
rotating shadowband radiometer
RSR
spectral bias
temperature bias

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Vignola, F., Peterson, J., Mavromatakis, F., Wilbert, S., Forstinger, A., Dooraghi, M., & Sengupta, M. (2019). Removing Biases from Rotating Shadowband Radiometers. Paper presented at 24th SolarPACES International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2018, Casablanca, Morocco. https://doi.org/10.1063/1.5117714, https://doi.org/10.1063/1.5117714

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title = "Removing Biases from Rotating Shadowband Radiometers",

abstract = "Three types of biases are examined for a Rotating Shadowband Radiometer (RSR): temperature bias, spectral bias, and deviation from a Lambertian cosine response. A step by step method is presented to illustrate how to use this information to develop a model for adjustment algorithms for a RSR. Comparisons are made with a RSR adjusted using the model and measure direct normal, diffuse, and global irradiance.",

keywords = "Lambertian cosine response, rotating shadowband radiometer, RSR, spectral bias, temperature bias",

author = "Frank Vignola and Josh Peterson and Fotis Mavromatakis and Stefan Wilbert and Anne Forstinger and Mike Dooraghi and Manajit Sengupta",

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Vignola, F, Peterson, J, Mavromatakis, F, Wilbert, S, Forstinger, A, Dooraghi, M & Sengupta, M 2019, 'Removing Biases from Rotating Shadowband Radiometers', Paper presented at 24th SolarPACES International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2018, Casablanca, Morocco, 2/10/18 - 5/10/18. https://doi.org/10.1063/1.5117714, https://doi.org/10.1063/1.5117714

TY - CONF

T1 - Removing Biases from Rotating Shadowband Radiometers

AU - Vignola, Frank

AU - Peterson, Josh

AU - Mavromatakis, Fotis

AU - Wilbert, Stefan

AU - Forstinger, Anne

AU - Dooraghi, Mike

AU - Sengupta, Manajit

N1 - See NREL/CP-5D00-72278 for preprint

PY - 2019/7/25

Y1 - 2019/7/25

N2 - Three types of biases are examined for a Rotating Shadowband Radiometer (RSR): temperature bias, spectral bias, and deviation from a Lambertian cosine response. A step by step method is presented to illustrate how to use this information to develop a model for adjustment algorithms for a RSR. Comparisons are made with a RSR adjusted using the model and measure direct normal, diffuse, and global irradiance.

AB - Three types of biases are examined for a Rotating Shadowband Radiometer (RSR): temperature bias, spectral bias, and deviation from a Lambertian cosine response. A step by step method is presented to illustrate how to use this information to develop a model for adjustment algorithms for a RSR. Comparisons are made with a RSR adjusted using the model and measure direct normal, diffuse, and global irradiance.

KW - Lambertian cosine response

KW - rotating shadowband radiometer

KW - RSR

KW - spectral bias

KW - temperature bias

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U2 - 10.1063/1.5117714

DO - 10.1063/1.5117714

M3 - Paper

AN - SCOPUS:85070620107

T2 - 24th SolarPACES International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2018

Y2 - 2 October 2018 through 5 October 2018

ER -

Removing Biases from Rotating Shadowband Radiometers

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

Access to Document

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