This page has only limited features, please log in for full access.

Unclaimed
Yasuaki Miyazato
Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara-cho Nakagami, Okinawa, Japan

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Conference paper
Published: 01 June 2017 in 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia)
Reads 0
Downloads 0

The introduction amount of renewable energy has increased, but control of power system is getting harder. As a solution of this problem, the use of an off-grid smart house that is not connected to the electric power system. The off-grid smart house can freely introduce renewable energy generation equipments. Also, it can operate without emission of carbon dioxide. In recent years, attention has been focused on electric vehicles (EVs). The EVs do not emit carbon dioxide during driving. Moreover, carbon dioxide reduction effect is enhanced by charging EVs using renewable energy generation. In addition, EVs become a way of carrying electricity, and it is possible to supply electricity to the off-grid smart house. EVs can compensate for the electricity and support operation of the off-grid smart house. This paper discusses the introduced capacity of equipments in the off-grid smart house having EV by performing optimization simulation. Moreover, it is possible to operate highly practical by classifying electric appliances load. The simulation results are compared with existing electricity fees, and the validity of the off-grid smart house has been confirmed.

ACS Style

Yasuaki Miyazato; Shota Tobaru; Tomonobu Senjyu; Abdul Motin Howlader; Toshihisa Funabashi. Optimum operation and capacity for off-grid smart house. 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia) 2017, 1137 -1142.

AMA Style

Yasuaki Miyazato, Shota Tobaru, Tomonobu Senjyu, Abdul Motin Howlader, Toshihisa Funabashi. Optimum operation and capacity for off-grid smart house. 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia). 2017; ():1137-1142.

Chicago/Turabian Style

Yasuaki Miyazato; Shota Tobaru; Tomonobu Senjyu; Abdul Motin Howlader; Toshihisa Funabashi. 2017. "Optimum operation and capacity for off-grid smart house." 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia) , no. : 1137-1142.

Journal article
Published: 07 December 2016 in Sustainability
Reads 0
Downloads 0

A smart house generally has a Photovoltaic panel (PV), a Heat Pump (HP), a Solar Collector (SC) and a fixed battery. Since the fixed battery can buy and store inexpensive electricity during the night, the electricity bill can be reduced. However, a large capacity fixed battery is very expensive. Therefore, there is a need to determine the economic capacity of fixed battery. Furthermore, surplus electric power can be sold using a buyback program. By this program, PV can be effectively utilized and contribute to the reduction of the electricity bill. With this in mind, this research proposes a multi-objective optimization, the purpose of which is electric demand control and reduction of the electricity bill in the smart house. In this optimal problem, the Pareto optimal solutions are searched depending on the fixed battery capacity. Additionally, it is shown that consumers can choose what suits them by comparing the Pareto optimal solutions.

ACS Style

Yasuaki Miyazato; Hayato Tahara; Kosuke Uchida; Cirio Celestino Muarapaz; Abdul Motin Howlader; Tomonobu Senjyu. Multi-Objective Optimization for Smart House Applied Real Time Pricing Systems. Sustainability 2016, 8, 1273 .

AMA Style

Yasuaki Miyazato, Hayato Tahara, Kosuke Uchida, Cirio Celestino Muarapaz, Abdul Motin Howlader, Tomonobu Senjyu. Multi-Objective Optimization for Smart House Applied Real Time Pricing Systems. Sustainability. 2016; 8 (12):1273.

Chicago/Turabian Style

Yasuaki Miyazato; Hayato Tahara; Kosuke Uchida; Cirio Celestino Muarapaz; Abdul Motin Howlader; Tomonobu Senjyu. 2016. "Multi-Objective Optimization for Smart House Applied Real Time Pricing Systems." Sustainability 8, no. 12: 1273.