Removing Biases from Rotating Shadowband Radiometers: Preprint

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

Removing Biases from Rotating Shadowband Radiometers: Preprint

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

Power Systems Engineering

University of Oregon
Technological Educational Institute of Crete
German Aerospace Center

Research output: Contribution to conference › Paper

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	13
State	Published - 2019
Event	2018 Solar Power and Chemical Energy Systems Conference (SolarPACES) - Casablanca, Morocco Duration: 2 Oct 2018 → 5 Oct 2018

Conference

Conference	2018 Solar Power and Chemical Energy Systems Conference (SolarPACES)
City	Casablanca, Morocco
Period	2/10/18 → 5/10/18

Bibliographical note

See NREL/CP-5D00-74708 for paper as published in AIP proceedings

NLR Publication Number

NREL/CP-5D00-72278

Keywords

Lambertian cosine response
rotating shadowband radiometer
RSR
spectral bias
temperature bias

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title = "Removing Biases from Rotating Shadowband Radiometers: Preprint",

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

note = "See NREL/CP-5D00-74708 for paper as published in AIP proceedings; 2018 Solar Power and Chemical Energy Systems Conference (SolarPACES) ; Conference date: 02-10-2018 Through 05-10-2018",

year = "2019",

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TY - CONF

T1 - Removing Biases from Rotating Shadowband Radiometers: Preprint

AU - Sengupta, Manajit

AU - Vignola, Frank

AU - Peterson, Josh

AU - Mavromatakis, Fotis

AU - Wilbert, Stefan

AU - Forstinger, Anne

N1 - See NREL/CP-5D00-74708 for paper as published in AIP proceedings

PY - 2019

Y1 - 2019

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

M3 - Paper

T2 - 2018 Solar Power and Chemical Energy Systems Conference (SolarPACES)

Y2 - 2 October 2018 through 5 October 2018

ER -

Removing Biases from Rotating Shadowband Radiometers: Preprint

Abstract

Conference

Bibliographical note

NLR Publication Number

Keywords

Access to Document

Fingerprint

Cite this