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A Shadow Histogram Algorithm to Dete...

Sheth, Nishank Mihir.

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A Shadow Histogram Algorithm to Determine Clear Sky Indices for Sky Imager Short Term Advective Solar forecasting.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Shadow Histogram Algorithm to Determine Clear Sky Indices for Sky Imager Short Term Advective Solar forecasting./
Author:	Sheth, Nishank Mihir.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	34 p.
Notes:	Source: Masters Abstracts International, Volume: 56-03.
Contained By:	Masters Abstracts International56-03(E).
Subject:	Environmental science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10243453
ISBN:	9781369697377

A Shadow Histogram Algorithm to Determine Clear Sky Indices for Sky Imager Short Term Advective Solar forecasting.
Sheth, Nishank Mihir.

A Shadow Histogram Algorithm to Determine Clear Sky Indices for Sky Imager Short Term Advective Solar forecasting. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 34 p.

Source: Masters Abstracts International, Volume: 56-03.

Thesis (M.S.)--University of California, San Diego, 2017.

Sky imagers are used for short-term forecasting of solar irradiance, which can be used to counter ramp events caused by larger clouds or extensive changes in cloud cover. Sky imager forecast algorithms usually detect cloud classes in the image. However, the assignment of cloud optical depth or surface Global Horizontal Irradiance (GHI) to cloud classes remains a challenge. One method to connect GHI to cloud classes involves the use of a histogram of recently measured clear sky indices to assign a clear sky index/GHI to each cloud class. While this method improves upon choosing static GHI values for each cloud class, this paper presents a modification which improves the histogram method. Considering data from a significantly shorter time period than the existing method emphasizes more recent cloud conditions. Individual histograms for each cloud class self-consistent with modeled cloud coverage from the sky imager are used to analyze the data instead of a single histogram. The new algorithm gave a 39% reduction in root mean square error against the existing algorithm when tested over a month.

ISBN: 9781369697377Subjects--Topical Terms:

677245
Environmental science.

A Shadow Histogram Algorithm to Determine Clear Sky Indices for Sky Imager Short Term Advective Solar forecasting.
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245 1 2 $a A Shadow Histogram Algorithm to Determine Clear Sky Indices for Sky Imager Short Term Advective Solar forecasting.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 34 p.
500 $a Source: Masters Abstracts International, Volume: 56-03.
500 $a Adviser: Jan Kleissl.
502 $a Thesis (M.S.)--University of California, San Diego, 2017.
520 $a Sky imagers are used for short-term forecasting of solar irradiance, which can be used to counter ramp events caused by larger clouds or extensive changes in cloud cover. Sky imager forecast algorithms usually detect cloud classes in the image. However, the assignment of cloud optical depth or surface Global Horizontal Irradiance (GHI) to cloud classes remains a challenge. One method to connect GHI to cloud classes involves the use of a histogram of recently measured clear sky indices to assign a clear sky index/GHI to each cloud class. While this method improves upon choosing static GHI values for each cloud class, this paper presents a modification which improves the histogram method. Considering data from a significantly shorter time period than the existing method emphasizes more recent cloud conditions. Individual histograms for each cloud class self-consistent with modeled cloud coverage from the sky imager are used to analyze the data instead of a single histogram. The new algorithm gave a 39% reduction in root mean square error against the existing algorithm when tested over a month.
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