Kenji Otani

Mr. Kenji Otani

orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2000 in Energy Conversion and Management
Verified
Journal Article
Closed access
JKJ. Kondoh
J. Kondoh
III. Ishii
I. Ishii
HYH. Yamaguchi
H. Yamaguchi
AMA. Murata
A. Murata
KOKenji Otani
Kenji Otani
MKM. Kamimoto
M. Kamimoto

1 June 2009 in Solar Energy Materials and Solar Cells
Verified
Journal Article
Closed access
TTTakumi TAKASHIMA
Takumi TAKASHIMA
JYJunji Yamaguchi
Junji Yamaguchi
KOKenji Otani
Kenji Otani
TOtakashi oozeki
takashi oozeki
KKKazuhiko Kato
Kazuhiko Kato
MIMasayoshi Ishida
Masayoshi Ishida

8 November 2011 in Progress in Photovoltaics: Research and Applications
Verified
Journal Article
Closed access
PDF file
TITetsuyuki Ishii
Tetsuyuki Ishii
KOKenji Otani
Kenji Otani
TTTakumi TAKASHIMA
Takumi TAKASHIMA
YXYanqun Xue
Yanqun Xue

8 December 2008 in Electrical Engineering in Japan
Verified
Journal Article
Open access
PDF file
AMAkinobu Murata
Akinobu Murata
HYHiroshi Yamaguchi
Hiroshi Yamaguchi
KOKenji Otani
Kenji Otani
The largest output fluctuation is an index used to quantify the disturbance of a power grid caused by wind power plants and photovoltaic power generation systems connected to it. In order to develop its estimation method, we investigate the relationship between the largest output fluctuation and the standard deviation of a newly proposed random variable generated by differencing the output variation of photovoltaic power generation systems. Output fluctuation coefficients are defined and estimated using measured data of photovoltaic power generation systems located at 52 places. An approximation equation is presented to predict geographical correlations between the proposed random variables for photovoltaic power systems by using the distances between their locations. Finally, it is shown that the largest output fluctuation of many photovoltaic power generation systems dispersed in a wide area is predictable by using the output fluctuation coefficients and the equation approximating the geographical correlations of output fluctuations. ©2008 Wiley Periodicals, Inc. Electr Eng Jpn, 166(4): 9–19, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20723

23 February 2011 in Progress in Photovoltaics: Research and Applications
Verified
Journal Article
Closed access
PDF file
TITetsuyuki Ishii
Tetsuyuki Ishii
TTTakumi TAKASHIMA
Takumi TAKASHIMA
KOKenji Otani
Kenji Otani

23 February 2011 in Progress in Photovoltaics: Research and Applications
Verified
Journal Article
Closed access
PDF file
TITetsuyuki Ishii
Tetsuyuki Ishii
KOKenji Otani
Kenji Otani
TTTakumi TAKASHIMA
Takumi TAKASHIMA