Takashi Ikegami

Prof. Takashi Ikegami

Tokyo University of Agriculture and Technology (TUAT)
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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1 May 2015 in Energy Conversion and Management
Verified
Journal Article
Closed access
YIYumiko Iwafune
Yumiko Iwafune
Takashi IkegamiTakashi Ikegami
Takashi Ikegami
JFJoao Gari da Silva Fonseca
Joao Gari da Silva Fonseca
TOtakashi oozeki
takashi oozeki
KOKazuhiko Ogimoto
Kazuhiko Ogimoto

1 January 2018 in Renewable Energy
Verified
Journal Article
Closed access
Takashi IkegamiTakashi Ikegami
Takashi Ikegami
CUChiyori Urabe
Chiyori Urabe
TSTetsuo Saitou
Tetsuo Saitou
KOKazuhiko Ogimoto
Kazuhiko Ogimoto

1 May 2014
Verified
Conference Paper
Closed access
YIYumiko Iwafune
Yumiko Iwafune
YYYoshie Yagita
Yoshie Yagita
Takashi IkegamiTakashi Ikegami
Takashi Ikegami
KOKazuhiko Ogimoto
Kazuhiko Ogimoto
It is expected that energy management systems (EMS) on the demand side can be used as a method for enhancing the capability of balancing supply and demand of a power system under the anticipated increase of renewable energy generation such as photovoltaics (PV). Energy demand and solar radiation must be predicted in order to realize the optimal operation scheduling of demand side appliances by EMS, including heat pump water heaters, PV systems, and solar powered water heaters. This paper presents a day-ahead forecasting method for electricity consumption in a house to contribute to energy management. Ten forecasting methods are examined using real survey data from 35 households over a year in order to verify forecast accuracy. A daily battery operation model is also developed to evaluate the effect of load forecasts.

1 January 2010 in IEEJ Transactions on Power and Energy
Verified
Journal Article
Closed access
Takashi IkegamiTakashi Ikegami
Takashi Ikegami
YIYumiko Iwafune
Yumiko Iwafune
KOKazuhiko Ogimoto
Kazuhiko Ogimoto

1 July 2012
Verified
Conference Paper
Closed access
YIYuichi Ikeda
Yuichi Ikeda
Takashi IkegamiTakashi Ikegami
Takashi Ikegami
KKKazuto Kataoka
Kazuto Kataoka
KOKazuhiko Ogimoto
Kazuhiko Ogimoto
The output of renewable energy fluctuates significantly depending on weather conditions. We develop a unit commitment model to analyze requirements of the forecast output and its error for renewable energies. Our model obtains the time series for the operational state of thermal power plants that would maximize the profits of an electric power utility by taking into account both the forecast error for renewable energies and the demand response of consumers. We consider a power system consisting of thermal power plants, photovoltaic systems (PV), and wind farms. First we analyze the effect of the forecast error on the operation cost and reserves. We confirm that the operation cost was increased with the forecast error. Then the effect of a sudden decrease in wind power is analyzed. More thermal power plants need to be operated to generate power to absorb this sudden decrease in wind power. The increase in the number of operating thermal power plants within a short period does not affect the total operation cost significantly. Finally, the effects of the demand response in the case of a sudden decrease in wind power are analyzed. We confirm that the number of operating thermal power plants is reduced by the demand response. A power utility has to continue to use thermal power plants for ensuring the supply-demand balance; some of these plants can be decommissioned after installing a large number of wind farms or PV systems, if the demand response is applied with an appropriate price structure.

1 October 2017 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
THTakahide Haneda
Takahide Haneda
YOYusuke Ono
Yusuke Ono
Takashi IkegamiTakashi Ikegami
Takashi Ikegami
AAAtsushi Akisawa
Atsushi Akisawa