Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting

Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting

This paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory and Recurrent N...

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Bibliographic Details
Main Authors: Atsushi Yona, Tomonobu Senjyu, Toshihisa Funabashi, Paras Mandal, Chul-Hwan Kim
Format: Article
Language:English
Published: MDPI AG 2014-08-01
Series:Applied Sciences
Subjects:
DC smart house
forecast error
re-planning operation
photovoltaic
solar collector
Online Access:http://www.mdpi.com/2076-3417/4/3/366
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spelling doaj-af3098e4ce5942cba5c7c3da136ae49d2020-11-24T21:56:56ZengMDPI AGApplied Sciences2076-34172014-08-014336637910.3390/app4030366app4030366Optimizing Re-planning Operation for Smart House Applying Solar Radiation ForecastingAtsushi Yona0Tomonobu Senjyu1Toshihisa Funabashi2Paras Mandal3Chul-Hwan Kim4Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara-cho Nakagami, Okinawa 903-0213, JapanFaculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara-cho Nakagami, Okinawa 903-0213, JapanDepartment of Electrical Engineering and Computer Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, JapanDepartment of Electrical and Computer Engineering, University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, USASchool of Electrical and Computer Engineering, Sungkyunkwan University, Suwon City 440-746, KoreaThis paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory and Recurrent Neural Network. Additionally, the re-planning operation method is proposed with consideration of solar radiation forecast error, battery and inverter losses. In this paper, it is assumed that the installation location for DC smart house is Okinawa, which is located in Southwest Japan. The validity of proposed method is confirmed by comparing the simulation results.http://www.mdpi.com/2076-3417/4/3/366DC smart houseforecast errorre-planning operationphotovoltaicsolar collector
collection DOAJ
language English
format Article
sources DOAJ
author Atsushi Yona
Tomonobu Senjyu
Toshihisa Funabashi
Paras Mandal
Chul-Hwan Kim
spellingShingle Atsushi Yona
Tomonobu Senjyu
Toshihisa Funabashi
Paras Mandal
Chul-Hwan Kim
Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting
Applied Sciences
DC smart house
forecast error
re-planning operation
photovoltaic
solar collector
author_facet Atsushi Yona
Tomonobu Senjyu
Toshihisa Funabashi
Paras Mandal
Chul-Hwan Kim
author_sort Atsushi Yona
title Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting
title_short Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting
title_full Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting
title_fullStr Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting
title_full_unstemmed Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting
title_sort optimizing re-planning operation for smart house applying solar radiation forecasting
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2014-08-01
description This paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory and Recurrent Neural Network. Additionally, the re-planning operation method is proposed with consideration of solar radiation forecast error, battery and inverter losses. In this paper, it is assumed that the installation location for DC smart house is Okinawa, which is located in Southwest Japan. The validity of proposed method is confirmed by comparing the simulation results.
topic DC smart house
forecast error
re-planning operation
photovoltaic
solar collector
url http://www.mdpi.com/2076-3417/4/3/366
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AT toshihisafunabashi optimizingreplanningoperationforsmarthouseapplyingsolarradiationforecasting
AT parasmandal optimizingreplanningoperationforsmarthouseapplyingsolarradiationforecasting
AT chulhwankim optimizingreplanningoperationforsmarthouseapplyingsolarradiationforecasting
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