Weather based irradiance modeling of solar farms

John McGreevy; Tarunraj Singh; Manoranjan Majji

doi:10.1109/ACC.2015.7170914

Weather based irradiance modeling of solar farms

John McGreevy
, Tarunraj Singh
, Manoranjan Majji

Department of Mechanical and Aerospace Engineering

SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The focus of this paper is on the development of a model to estimate solar irradiance at the Solar Strand, a 750 Kwatt rated solar farm. Using historical data provided by NOAA, the model is parameterized in terms of the time of day, cloud cover, and relative humidity. A polynomial model in terms of the three variables is used to estimate the transmittance of the atmosphere, which in turn provides the estimates of irradiance at the Solar Strand. Using data for the year 2013, the parameters of the model are identified and validated on data acquired for the first three months of 2014. Results of the model are encouraging providing motivation to carry out further studies on characterizing the uncertainties associated with the estimates.

Original language	English
Title of host publication	ACC 2015 - 2015 American Control Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1309-1314
Number of pages	6
ISBN (Electronic)	9781479986842
DOIs	https://doi.org/10.1109/ACC.2015.7170914
State	Published - Jul 28 2015
Event	2015 American Control Conference, ACC 2015 - Chicago, United States Duration: Jul 1 2015 → Jul 3 2015

Publication series

Name	Proceedings of the American Control Conference
Volume	2015-July
ISSN (Print)	0743-1619

Conference

Conference	2015 American Control Conference, ACC 2015
Country/Territory	United States
City	Chicago
Period	07/1/15 → 07/3/15

Access to Document

10.1109/ACC.2015.7170914

Cite this

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title = "Weather based irradiance modeling of solar farms",

abstract = "The focus of this paper is on the development of a model to estimate solar irradiance at the Solar Strand, a 750 Kwatt rated solar farm. Using historical data provided by NOAA, the model is parameterized in terms of the time of day, cloud cover, and relative humidity. A polynomial model in terms of the three variables is used to estimate the transmittance of the atmosphere, which in turn provides the estimates of irradiance at the Solar Strand. Using data for the year 2013, the parameters of the model are identified and validated on data acquired for the first three months of 2014. Results of the model are encouraging providing motivation to carry out further studies on characterizing the uncertainties associated with the estimates.",

author = "John McGreevy and Tarunraj Singh and Manoranjan Majji",

note = "Publisher Copyright: {\textcopyright} 2015 American Automatic Control Council.; 2015 American Control Conference, ACC 2015 ; Conference date: 01-07-2015 Through 03-07-2015",

year = "2015",

month = jul,

day = "28",

doi = "10.1109/ACC.2015.7170914",

language = "English",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1309--1314",

booktitle = "ACC 2015 - 2015 American Control Conference",

address = "United States",

}

McGreevy, J, Singh, T & Majji, M 2015, Weather based irradiance modeling of solar farms. in ACC 2015 - 2015 American Control Conference., 7170914, Proceedings of the American Control Conference, vol. 2015-July, Institute of Electrical and Electronics Engineers Inc., pp. 1309-1314, 2015 American Control Conference, ACC 2015, Chicago, United States, 07/1/15. https://doi.org/10.1109/ACC.2015.7170914

Weather based irradiance modeling of solar farms. / McGreevy, John; Singh, Tarunraj; Majji, Manoranjan.
ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1309-1314 7170914 (Proceedings of the American Control Conference; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Weather based irradiance modeling of solar farms

AU - McGreevy, John

AU - Singh, Tarunraj

AU - Majji, Manoranjan

PY - 2015/7/28

Y1 - 2015/7/28

N2 - The focus of this paper is on the development of a model to estimate solar irradiance at the Solar Strand, a 750 Kwatt rated solar farm. Using historical data provided by NOAA, the model is parameterized in terms of the time of day, cloud cover, and relative humidity. A polynomial model in terms of the three variables is used to estimate the transmittance of the atmosphere, which in turn provides the estimates of irradiance at the Solar Strand. Using data for the year 2013, the parameters of the model are identified and validated on data acquired for the first three months of 2014. Results of the model are encouraging providing motivation to carry out further studies on characterizing the uncertainties associated with the estimates.

AB - The focus of this paper is on the development of a model to estimate solar irradiance at the Solar Strand, a 750 Kwatt rated solar farm. Using historical data provided by NOAA, the model is parameterized in terms of the time of day, cloud cover, and relative humidity. A polynomial model in terms of the three variables is used to estimate the transmittance of the atmosphere, which in turn provides the estimates of irradiance at the Solar Strand. Using data for the year 2013, the parameters of the model are identified and validated on data acquired for the first three months of 2014. Results of the model are encouraging providing motivation to carry out further studies on characterizing the uncertainties associated with the estimates.

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DO - 10.1109/ACC.2015.7170914

M3 - Conference contribution

AN - SCOPUS:84940924054

T3 - Proceedings of the American Control Conference

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BT - ACC 2015 - 2015 American Control Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 American Control Conference, ACC 2015

Y2 - 1 July 2015 through 3 July 2015

ER -

Weather based irradiance modeling of solar farms

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