TY - GEN
T1 - A Proposal of Air-Conditioning Guidance System Using Discomfort Index
AU - Huda, Samsul
AU - Funabiki, Nobuo
AU - Kuribayashi, Minoru
AU - Sudibyo, Rahardhita Widyatra
AU - Ishihara, Nobuya
AU - Kao, Wen Chun
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Nowadays, global warming has considered a key environmental issue associated with the pursuit of sustainable societies around the world. Therefore, it appears to be critical how to achieve the best usage of an air conditioner (AC) to reduce unnecessary energy consumption. In addition, it would be beneficial to elders who tend to suffer from heatstroke in hot summers. However, the AC can be overused or underused, while the indoor temperature is adjusted without considering the outdoor condition. If the weather is cool outside, the AC should be turned off and the windows in the room should be opened. On the contrary, if the outdoor temperature is high, the AC should be turned on. In this paper, we propose an air-conditioning guidance system (AC-Guide) to optimize the use of the AC. This system periodically, 1) samples the temperature and humidity of the room with the sensor, 2) obtains the outdoor weather data from an API, 3) calculates the discomfort index (DI) for the indoor and outdoor, 4) detects the on/off state of the AC using the image, and 5) sends a message of requesting turning on/off the AC when the DI is outside/inside the comfortable range. For evaluations, we implement the AC-Guide using Raspberry Pi, and verify the effectiveness through simulations and applications in two rooms at Okayama University.
AB - Nowadays, global warming has considered a key environmental issue associated with the pursuit of sustainable societies around the world. Therefore, it appears to be critical how to achieve the best usage of an air conditioner (AC) to reduce unnecessary energy consumption. In addition, it would be beneficial to elders who tend to suffer from heatstroke in hot summers. However, the AC can be overused or underused, while the indoor temperature is adjusted without considering the outdoor condition. If the weather is cool outside, the AC should be turned off and the windows in the room should be opened. On the contrary, if the outdoor temperature is high, the AC should be turned on. In this paper, we propose an air-conditioning guidance system (AC-Guide) to optimize the use of the AC. This system periodically, 1) samples the temperature and humidity of the room with the sensor, 2) obtains the outdoor weather data from an API, 3) calculates the discomfort index (DI) for the indoor and outdoor, 4) detects the on/off state of the AC using the image, and 5) sends a message of requesting turning on/off the AC when the DI is outside/inside the comfortable range. For evaluations, we implement the AC-Guide using Raspberry Pi, and verify the effectiveness through simulations and applications in two rooms at Okayama University.
UR - http://www.scopus.com/inward/record.url?scp=85092918932&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092918932&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-61108-8_15
DO - 10.1007/978-3-030-61108-8_15
M3 - Conference contribution
AN - SCOPUS:85092918932
SN - 9783030611071
T3 - Lecture Notes in Networks and Systems
SP - 154
EP - 165
BT - Advances on Broad-Band Wireless Computing, Communication and Applications - Proceedings of the 15th International Conference on Broad-Band and Wireless Computing, Communication and Applications, BWCCA 2020
A2 - Barolli, Leonard
A2 - Matsuo, Keita
A2 - Takizawa, Makoto
A2 - Enokido, Tomoya
A2 - Chen, Hsing-Chung
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2020, held in conjunction with the 15th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2020
Y2 - 28 October 2020 through 30 October 2020
ER -
