| Presentation | 2019-11-05 Control Air Ventilation Based on Prediction of Occupancy for Saving Energy Sotaro Maejima, Hiroyuki Maeomichi, Toshihiko Akioka, Masatoshi Yokoi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, energy saving for commercial air conditioning based on Building Energy Management System (BEMS) is attracting attention. However, there are few examples of air-conditioning control methods that consider predicted value of occupancy which affect the heat load and CO2 concentration, and real environments where the distribution of occupancy is complex, such as commercial facilities. In this paper, in order to saving energy with maintaining comfort, simulation about air ventilation was conducted using predicted occupancy, temperature, time information, BEMS information, etc. Such information and modeling of HVAC is derived from real commercial facility. As a result of simulation, energy was reduced by 10 %. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Time Series Prediction / Deep Learning / Air Conditioning / HACV / Smart City / Saving Energy |
| Paper # | SeMI2019-62 |
| Date of Issue | 2019-10-29 (SeMI) |
| Conference Information | |
| Committee | SRW / SeMI / CNR |
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| Conference Date | 2019/11/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kozo Keisaku Engineering Inc. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IoT Workshop (Oral or Poster presentation) |
| Chair | Satoshi Denno(Okayama Univ.) / Susumu Ishihara(Shizuoka Univ.) / Kazunori Takashio(Keio Univ.) |
| Vice Chair | Keiichi Mizutani(Kyoto Univ.) / Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Masayuki Kanbara(NAIST) / Yoshihiko Murakawa(Fujitsu Labs.) |
| Secretary | Keiichi Mizutani(Tokyo Inst. of Tech.) / Kazuya Monden(Anritsu) / Koji Yamamoto(Kyoto Univ.) / Masayuki Kanbara(NTT DOCOMO) / Yoshihiko Murakawa(Hitachi) |
| Assistant | Masaaki Fuse(Anritsu) / Tomoki Murakami(NTT) / Akira Uchiyama(Osaka Univ.) / Kenji Kanai(Waseda Univ.) / Masafumi Hashimoto(Osaka Univ.) / Yuka Kobayashi(Toshiba) / Masanori Yokoyama(ＮＴＴ) |
| Paper Information | |
| Registration To | Technical Committee on Short Range Wireless Communications / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Cloud Network Robotics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Control Air Ventilation Based on Prediction of Occupancy for Saving Energy |
| Sub Title (in English) | |
| Keyword(1) | Time Series Prediction |
| Keyword(2) | Deep Learning |
| Keyword(3) | Air Conditioning |
| Keyword(4) | HACV |
| Keyword(5) | Smart City |
| Keyword(6) | Saving Energy |
| 1st Author's Name | Sotaro Maejima |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 2nd Author's Name | Hiroyuki Maeomichi |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 3rd Author's Name | Toshihiko Akioka |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone West Corporation(NTT West) |
| 4th Author's Name | Masatoshi Yokoi |
| 4th Author's Affiliation | Nippon Telegraph and Telephone West Corporation(NTT West) |
| Date | 2019-11-05 |
| Paper # | SeMI2019-62 |
| Volume (vol) | vol.119 |
| Number (no) | SeMI-266 |
| Page | pp.pp.1-6(SeMI), |
| #Pages | 6 |
| Date of Issue | 2019-10-29 (SeMI) |