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Clearness index in cloudy days estimated with meteorological information by multiple regression analysis; Kisho joho wo riyoshita kaiki bunseki ni yoru dontenbi no seiten shisu no suitei

Abstract

Study is under way for a more accurate solar radiation quantity prediction for the enhancement of solar energy utilization efficiency. Utilizing the technique of roughly estimating the day`s clearness index from forecast weather, the forecast weather (constituted of weather conditions such as `clear,` `cloudy,` etc., and adverbs or adjectives such as `afterward,` `temporary,` and `intermittent`) has been quantified relative to the clearness index. This index is named the `weather index` for the purpose of this article. The error high in rate in the weather index relates to cloudy days, which means a weather index falling in 0.2-0.5. It has also been found that there is a high correlation between the clearness index and the north-south wind direction component. A multiple regression analysis has been carried out, under the circumstances, for the estimation of clearness index from the maximum temperature and the north-south wind direction component. As compared with estimation of the clearness index on the basis only of the weather index, estimation using the weather index and maximum temperature achieves a 3% improvement throughout the year. It has also been learned that estimation by use of the weather index and north-south wind direction component enables a 2% improvement for summer  More>>
Authors:
Nakagawa, S; [1]  Kenmoku, Y; Sakakibara, T; [2]  Kawamoto, T [3] 
  1. Maizuru National College of Technology, Kyoto (Japan)
  2. Toyohashi University of Technology, Aichi (Japan)
  3. Shizuoka University, Shizuoka (Japan). Faculty of Engineering
Publication Date:
Oct 27, 1996
Product Type:
Conference
Report Number:
CONF-9610295-
Reference Number:
SCA: 140100; 580000; 440700; PA: NEDO-96:915489; EDB-97:071892; SN: 97001783033
Resource Relation:
Conference: JSES/JWEA joint conference (1996), 1996 nendo nihon taiyo energy gakkai nihon furyoku energy kyokai godo kenkyu happyokai, Yamagata (Japan), 31 Oct - 1 Nov 1996; Other Information: PBD: 27 Oct 1996; Related Information: Is Part Of Proceedings of JSES/JWEA Joint Conference (1996); PB: 406 p.; Taiyo/furyoku energy koen ronbunshu (1996)
Subject:
14 SOLAR ENERGY; 58 GEOSCIENCES; 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; CLOUD COVER; SOLAR RADIATION; RADIANT FLUX DENSITY; REGRESSION ANALYSIS; METEOROLOGY; INFORMATION; FORECASTING; INSOLATION; ACCURACY; WIND; AMBIENT TEMPERATURE
OSTI ID:
472782
Research Organizations:
Japan Solar Energy Society, Tokyo (Japan)
Country of Origin:
Japan
Language:
Japanese
Other Identifying Numbers:
Other: ON: DE97744185; TRN: 96:915489
Availability:
Available from Japan Solar Energy Society, 44-14, Yoyogi 2-chome, Shibuya-ku, Tokyo, Japan; OSTI as DE97744185
Submitting Site:
NEDO
Size:
pp. 237-240
Announcement Date:

Citation Formats

Nakagawa, S, Kenmoku, Y, Sakakibara, T, and Kawamoto, T. Clearness index in cloudy days estimated with meteorological information by multiple regression analysis; Kisho joho wo riyoshita kaiki bunseki ni yoru dontenbi no seiten shisu no suitei. Japan: N. p., 1996. Web.
Nakagawa, S, Kenmoku, Y, Sakakibara, T, & Kawamoto, T. Clearness index in cloudy days estimated with meteorological information by multiple regression analysis; Kisho joho wo riyoshita kaiki bunseki ni yoru dontenbi no seiten shisu no suitei. Japan.
Nakagawa, S, Kenmoku, Y, Sakakibara, T, and Kawamoto, T. 1996. "Clearness index in cloudy days estimated with meteorological information by multiple regression analysis; Kisho joho wo riyoshita kaiki bunseki ni yoru dontenbi no seiten shisu no suitei." Japan.
@misc{etde_472782,
title = {Clearness index in cloudy days estimated with meteorological information by multiple regression analysis; Kisho joho wo riyoshita kaiki bunseki ni yoru dontenbi no seiten shisu no suitei}
author = {Nakagawa, S, Kenmoku, Y, Sakakibara, T, and Kawamoto, T}
abstractNote = {Study is under way for a more accurate solar radiation quantity prediction for the enhancement of solar energy utilization efficiency. Utilizing the technique of roughly estimating the day`s clearness index from forecast weather, the forecast weather (constituted of weather conditions such as `clear,` `cloudy,` etc., and adverbs or adjectives such as `afterward,` `temporary,` and `intermittent`) has been quantified relative to the clearness index. This index is named the `weather index` for the purpose of this article. The error high in rate in the weather index relates to cloudy days, which means a weather index falling in 0.2-0.5. It has also been found that there is a high correlation between the clearness index and the north-south wind direction component. A multiple regression analysis has been carried out, under the circumstances, for the estimation of clearness index from the maximum temperature and the north-south wind direction component. As compared with estimation of the clearness index on the basis only of the weather index, estimation using the weather index and maximum temperature achieves a 3% improvement throughout the year. It has also been learned that estimation by use of the weather index and north-south wind direction component enables a 2% improvement for summer and a 5% or higher improvement for winter. 2 refs., 6 figs., 4 tabs.}
place = {Japan}
year = {1996}
month = {Oct}
}