IoTを用いたLPガスボンベ配送のピークカット効果

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2022/08/01

タイトル(英語): Peak-shaving Strategies for LP Gas Cylinder Distribution based on IoT Data

著者名: 土岐　爽真（東京ガス（株）基盤技術部 次世代技術研究所），塩野　直志（神奈川工科大学情報学部情報工学科），本間　裕大（東京大学生産技術研究所），長谷川　大輔（東京大学生産技術研究所）

著者名(英語): Soma Toki (TOKYO GAS CO., LTD.), Naoshi Shiono (Kanagawa Institute of Technology), Yudai Honma (Institute of Industrial Science, the University of Tokyo), Daisuke Hasegawa (Institute of Industrial Science, the University of Tokyo)

キーワード: IoT，ビッグデータ，ピークカット，数理最適化，LPガス配送_x000D_　　Internet of Things，big data，peak shaving，mathematical optimization，LP gas distribution

要約(英語): Low Power Wide Area network (LPWA) is widely spread, and support for IoT is progressing in Japan. In the current LP gas market, Sellers and distributors are possible not only to monitor their customers remotely but also obtain customers daily usage at low cost by LPWA. Applying daily metering through LPWA system makes distributors decrease their peak demand cost because they can visit their customers at a better timing. Then, in this paper, we discuss the peak-shaving for LP gas distribution by daily metering. At first, we formulate the integer programming problem (IP) for peak-shaving. The optimal solutions of IP show that applying IoT usage data decrease the peak load by almost 30 percent. At next, we analyze characteristics of the optimal solutions and propose the operational peak-shaving strategies every week. Applied our strategies to the actual data presents that they are well-functioning. Our strategies can easily install when LP gas distributors renovate their system corresponding to store IoT usage data.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.142 No.8 （2022） 特集Ⅰ：Smart Cityのためのセンシング/モビリティ/情報通信技術　特集Ⅱ：サステナブル社会実現に向けた情報・システム技術

本誌掲載ページ: 840-848 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/142/8/142_840/_article/-char/ja/