環境エネルギー工学
メンバー： 長坂研、ケルマンシャヒバーマン
分野： 電気電子工学
所属： 東京農工大学 工学府 電気電子工学専攻
キーワード： エネルギー、エネルギー予測、電力系統、スマートグリッド、マイクログリッド、再生可能エネルギー、電力自由化、省エネルギー、インテリジェント工学
ウェブサイト：
研究概要
21世紀最大の課題の一つである環境エネルギー問題に取り組んでいます。複合的な視点かつ柔軟な発想で課題を探究し、次世代技術を担う人材を育成しています。①環境親和性を念頭においた大規模エネルギーシステムの計画・運用・制御、②革新的再生可能エネルギー技術の組合せであるマイクログリッド、③スマートグリッドの最適構成、などが主要テーマです。
現在、行っている研究は次の通りです。
１）自然エネルギー研究：風力・太陽光、洋上風力発電、海流、地熱発電など
２）エコエネルギー研究：再生可能エネルギーを中心としたキャンパスマイクログリッド
３）スマートグリッド研究：モデリング、スマートメータ設計、電気自動車による貯蔵等
４）省エネルギー研究：大学全体および研究室ベースの省エネルギー、CO２削減
５）発送電分離の研究（電力自由化）
６）インテリジェント予測研究 （エネルギー需要、市場価格、気象）
上記以外の自由な研究も行っています（研究者の希望を重視）。
主要論文・参考事項
[1]Hiroshi Takamori, Eiroku Go; Ken Nagasaka, “Supply-side Management of CO2 Emissions in a Competitive Market”, International Journal of Advanced Mechatronic Systems, Vol.5, No.3, pp.174 – 183, 2013.
[2]Md. Atikur Rahman Sarker, Ken Nagasaka, “Modelling of a smart micro grid with renewable energy for rural area based on power line communication”, International Journal of Advanced Mechatronic Systems, Vol.5, No.3, pp.157 – 165, 2013.
[3]Md. Atikur Rahman Sarker, Yuki Ueno, Chi-Hung Kelvin Chu and Ken Nagasaka, “Incorporating Renewable Energy Resources in a Smart Grid with Power Line Communication Using Matlab/Simulink”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.1, pp.103 -108, January 2013.
[4]Ken Nagasaka, Meita Rumbayan, “Development of Priority Decision for Renewable Energy Potential using Analytical Hierarchy Process and Geographical Information System Method”, International Journal of Advanced Mechatronic Systems, Vol.5, No.4, pp.270 – 278, 2013.
[5]Rashad M. Kamel, Aymen Chaouachi and Ken Nagasaka, “Three Control Strategies to Improve the Microgrid Transient Dynamic Response During Isolated Mode: A Comparative Study”, IEEE Transactions on Industrial Electronics, Vol. 60, No. 4, pp. 1314-1322, April 2013.
[6]Mavaahebi, Ken Nagasaka, “A Neural Network and Expert Systems Based Model for Measuring Business Effectiveness of Information Technology Investment”, American Journal of Industrial and Business Management, Vol. 3, No.2, pp.245-254, April 2013.
[7]Aymen Chaouachi, Rashad M. Kamel, Ridha Andoulsi, and Ken Nagasaka, “Multiobjective Intelligent Energy Management for a Microgrid”, IEEE Transactions on Industrial Electronics, Vol.60, No. 4, pp.1688-1699, April. 2013.
[8]Mahmud Mavaahebi, Ken Nagasaka,“Leveraging Empirical Artificial Neural Networks/Expert Systems Modeling For Quantification of Information Technology’s Generated Services and Associative Costs”, International Journal of Information Technology and Business Management, Vol. 12, No.1, pp. 20-32, April 2013.
[9]Ken Nagasaka, Hiroshi Takamori, Eiroku Go, “A Mechanism Design for Managing Emissions in Energy Supply Sector”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.1, pp.94-102, January 2013.
お問い合わせ先
東京農工大学・先端産学連携研究推進センター
urac[at]ml.tuat.ac.jp（[at]を@に変換してください）
Environmental Energy Engineering
Research members： Ken Nagasaka PhD., Bahman Kermanshahi PhD.
Research fields： Electrical and electronic engineering
Departments： Tokyo University of Agriculture and Technology, Department of Electrical and Electronic Engineering
Keywords： Power System, Energy, Renewable Energy, Smart grid, Micro Grid, Forecasting, Energy Saving, Intelligent Engineering
Web site：
Summary
What we are doing:
New Energies Research
Wind, Solar, Off-shore Wind generation, Ocean generation, Geothermal- Micro Hydro, etc.
Eco-Energy Research
Micro Grid research including Campus-base Renewable Energies
Smart Grid Research
Modelling, Smart Meter Design, Storage system including EV research
Energy Saving Research
University campus energy saving, peak-cut ^ peak shift research, CO2 reduction research
Power Deregulation Research
Intelligent Forecasting Research
Load forecasting, every kinds of energy forecasting, weather condition forecasting, price forecasting
Free Research (Any subjects)
Reference articles and patents
[1]Hiroshi Takamori, Eiroku Go; Ken Nagasaka, “Supply-side Management of CO2 Emissions in a Competitive Market”, International Journal of Advanced Mechatronic Systems, Vol.5, No.3, pp.174 – 183, 2013.
[2]Md. Atikur Rahman Sarker, Ken Nagasaka, “Modelling of a smart micro grid with renewable energy for rural area based on power line communication”, International Journal of Advanced Mechatronic Systems, Vol.5, No.3, pp.157 – 165, 2013.
[3]Md. Atikur Rahman Sarker, Yuki Ueno, Chi-Hung Kelvin Chu and Ken Nagasaka, “Incorporating Renewable Energy Resources in a Smart Grid with Power Line Communication Using Matlab/Simulink”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.1, pp.103 -108, January 2013.
[4]Ken Nagasaka, Meita Rumbayan, “Development of Priority Decision for Renewable Energy Potential using Analytical Hierarchy Process and Geographical Information System Method”, International Journal of Advanced Mechatronic Systems, Vol.5, No.4, pp.270 – 278, 2013.
[5]Rashad M. Kamel, Aymen Chaouachi and Ken Nagasaka, “Three Control Strategies to Improve the Microgrid Transient Dynamic Response During Isolated Mode: A Comparative Study”, IEEE Transactions on Industrial Electronics, Vol. 60, No. 4, pp. 1314-1322, April 2013.
[6]Mavaahebi, Ken Nagasaka, “A Neural Network and Expert Systems Based Model for Measuring Business Effectiveness of Information Technology Investment”, American Journal of Industrial and Business Management, Vol. 3, No.2, pp.245-254, April 2013.
[7]Aymen Chaouachi, Rashad M. Kamel, Ridha Andoulsi, and Ken Nagasaka, “Multiobjective Intelligent Energy Management for a Microgrid”, IEEE Transactions on Industrial Electronics, Vol.60, No. 4, pp.1688-1699, April. 2013.
[8]Mahmud Mavaahebi, Ken Nagasaka,“Leveraging Empirical Artificial Neural Networks/Expert Systems Modeling For Quantification of Information Technology’s Generated Services and Associative Costs”, International Journal of Information Technology and Business Management, Vol. 12, No.1, pp. 20-32, April 2013.
[9]Ken Nagasaka, Hiroshi Takamori, Eiroku Go, “A Mechanism Design for Managing Emissions in Energy Supply Sector”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.1, pp.94-102, January 2013.
Contact
University Research Administration Center(URAC),
Tokyo University of Agriculture andTechnology
urac[at]ml.tuat.ac.jp
(Please replace [at] with @.)