Use of measured aerosol optical depth and precipitable water to model clear sky irradiance

Mark M. Mikofski; Clifford W. Hansen; William F. Holmgren; Gregory M. Kimball

doi:10.1109/PVSC.2017.8366314

Use of measured aerosol optical depth and precipitable water to model clear sky irradiance

Mark M. Mikofski, Clifford W. Hansen, William F. Holmgren, Gregory M. Kimball

Hydrology and Atmospheric Science

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

9 Scopus citations

Abstract

Predicted clear sky irradiance depends on atmospheric composition as well as solar position and extraterrestrial irradiance. The effects on clear sky irradiance of year to year variations in atmospheric composition were studied using measurements of aerosol optical depth (AOD) and precipitable water (Pwat) at seven locations in the United States. Three clear sky models were evaluated, including one that uses Linke turbidity (TL). This model was evaluated using historical, static TL as well as updated values derived from real-time AOD and Pwat measurements. The average annual error in predicted clear sky irradiance using static TL did not differ significantly from year to year. Annual average error in predicted GHI was less than 5% for all models with no significant difference between models. The model with static TL had the lowest DNI errors, and the Bird model had the smallest GHI error but the largest DNI error. On average DNI and GHI were under-predicted.

Original language	English (US)
Title of host publication	2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	110-116
Number of pages	7
ISBN (Electronic)	9781509056057
DOIs	https://doi.org/10.1109/PVSC.2017.8366314
State	Published - 2017
Event	44th IEEE Photovoltaic Specialist Conference, PVSC 2017 - Washington, United States Duration: Jun 25 2017 → Jun 30 2017

Publication series

Name	2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
Volume	2017-June

Other

Other	44th IEEE Photovoltaic Specialist Conference, PVSC 2017
Country/Territory	United States
City	Washington
Period	6/25/17 → 6/30/17

Keywords

Aerosol optical depth
Clear sky
Irradiance
Precipitable water

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/PVSC.2017.8366314

Cite this

Mikofski, M. M., Hansen, C. W., Holmgren, W. F., & Kimball, G. M. (2017). Use of measured aerosol optical depth and precipitable water to model clear sky irradiance. In 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017 (pp. 110-116). Article 08366314 (2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017; Vol. 2017-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC.2017.8366314

Use of measured aerosol optical depth and precipitable water to model clear sky irradiance. / Mikofski, Mark M.; Hansen, Clifford W.; Holmgren, William F. et al.
2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 110-116 08366314 (2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017; Vol. 2017-June).

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

Mikofski, MM, Hansen, CW, Holmgren, WF & Kimball, GM 2017, Use of measured aerosol optical depth and precipitable water to model clear sky irradiance. in 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017., 08366314, 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017, vol. 2017-June, Institute of Electrical and Electronics Engineers Inc., pp. 110-116, 44th IEEE Photovoltaic Specialist Conference, PVSC 2017, Washington, United States, 6/25/17. https://doi.org/10.1109/PVSC.2017.8366314

Mikofski MM, Hansen CW, Holmgren WF, Kimball GM. Use of measured aerosol optical depth and precipitable water to model clear sky irradiance. In 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 110-116. 08366314. (2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017). doi: 10.1109/PVSC.2017.8366314

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abstract = "Predicted clear sky irradiance depends on atmospheric composition as well as solar position and extraterrestrial irradiance. The effects on clear sky irradiance of year to year variations in atmospheric composition were studied using measurements of aerosol optical depth (AOD) and precipitable water (Pwat) at seven locations in the United States. Three clear sky models were evaluated, including one that uses Linke turbidity (TL). This model was evaluated using historical, static TL as well as updated values derived from real-time AOD and Pwat measurements. The average annual error in predicted clear sky irradiance using static TL did not differ significantly from year to year. Annual average error in predicted GHI was less than 5% for all models with no significant difference between models. The model with static TL had the lowest DNI errors, and the Bird model had the smallest GHI error but the largest DNI error. On average DNI and GHI were under-predicted.",

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note = "Funding Information: Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy{\textquoteright}s National Nuclear Security Administration under contract DE-NA0003525. Publisher Copyright: {\textcopyright}2017 IEEE; 44th IEEE Photovoltaic Specialist Conference, PVSC 2017 ; Conference date: 25-06-2017 Through 30-06-2017",

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N2 - Predicted clear sky irradiance depends on atmospheric composition as well as solar position and extraterrestrial irradiance. The effects on clear sky irradiance of year to year variations in atmospheric composition were studied using measurements of aerosol optical depth (AOD) and precipitable water (Pwat) at seven locations in the United States. Three clear sky models were evaluated, including one that uses Linke turbidity (TL). This model was evaluated using historical, static TL as well as updated values derived from real-time AOD and Pwat measurements. The average annual error in predicted clear sky irradiance using static TL did not differ significantly from year to year. Annual average error in predicted GHI was less than 5% for all models with no significant difference between models. The model with static TL had the lowest DNI errors, and the Bird model had the smallest GHI error but the largest DNI error. On average DNI and GHI were under-predicted.

AB - Predicted clear sky irradiance depends on atmospheric composition as well as solar position and extraterrestrial irradiance. The effects on clear sky irradiance of year to year variations in atmospheric composition were studied using measurements of aerosol optical depth (AOD) and precipitable water (Pwat) at seven locations in the United States. Three clear sky models were evaluated, including one that uses Linke turbidity (TL). This model was evaluated using historical, static TL as well as updated values derived from real-time AOD and Pwat measurements. The average annual error in predicted clear sky irradiance using static TL did not differ significantly from year to year. Annual average error in predicted GHI was less than 5% for all models with no significant difference between models. The model with static TL had the lowest DNI errors, and the Bird model had the smallest GHI error but the largest DNI error. On average DNI and GHI were under-predicted.

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Use of measured aerosol optical depth and precipitable water to model clear sky irradiance

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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