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A Proposal of Air-Conditioning Guidance System Using Discomfort Index

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 159))

Abstract

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.

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References

  1. Wang, F., et al.: Evaluation and optimization of air-conditioner energy saving control considering indoor thermal comfort. In: Proceedings of International IBPSA Building Simulation Conference, pp. 88–95, July 2009

    Google Scholar 

  2. Wu, X., Lu, Y., Zhou, S., Chen, L., Xu, B.: Impact of climate change on human infectious disease: empirical evidence and human adaptation. Environ. Int. 86, 14–23 (2016)

    Article  Google Scholar 

  3. Asayama, M.: Guideline for the prevention of heat disorder in Japan. Glob. Environ. Res. 13, 19–25 (2009)

    Google Scholar 

  4. Ministry of Health, Labour and Welfare. https://www.mhlw.go.jp/toukei/saikin/hw/jinkou/tokusyu/necchusho18/dl/nenrei.pdf

  5. Openweathermap API. https://openweathermap.org/

  6. Nakamura, M., Matsuo, S., Matsumoto, S., Sakamoto, H., Igaki, H.: Application framework for efficient development of sensor as a service for home network system,” in Proceedings of the IEEE International Conference on Services Computing, pp. 576–583 (2011)

    Google Scholar 

  7. Japan Power Cities. http://mori-m-foundation.or.jp/pdf/jpc_ver_summary_en.pdf

  8. Vujovic, V., Maksimovic, M.: Raspberry Pi as a Sensor Web node for home automation. Comput. Electr. Eng. 44, 153–171 (2015)

    Article  Google Scholar 

  9. Yousif, T.A., Tahir, H.M.M.: Application of Thom’s thermal discomfort index in Khartoum state, Sudan. J. For. Prod. Ind. 2(5), 36–38 (2013)

    Google Scholar 

  10. Winter, T.: An uncomfortable truth: air-conditioning and sustainability in Asia. Environ. Plann. 45, 517–531 (2013)

    Article  Google Scholar 

  11. Hintea, D., Brusey, J., Gaura, E.: A study on several machine learning methods for estimating cabin occupant equivalent temperature. In: Proceedings of the International Conference on Informatics in Control, Automation and Robotics (ICINCO), vol. 1, pp. 629–634, July 2015

    Google Scholar 

  12. Kim, J., Schiavon, S., Brager, G.: Personal comfort models - a new paradigm in thermal comfort for occupant-centric environmental control. Build. Environ. 132, 114–124 (2018)

    Article  Google Scholar 

  13. Chen, D., Ren, Z., James, M.: What the indoor air temperatures in houses in three Australian cities tell us. In: Proceedings of Windsor Conference, April 2018

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Communication Engineering, Okayama University, Okayama, Japan

    Samsul Huda, Nobuo Funabiki, Minoru Kuribayashi, Rahardhita Widyatra Sudibyo & Nobuya Ishihara

  2. Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan

    Wen-Chun Kao

Authors
  1. Samsul Huda
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  2. Nobuo Funabiki
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  3. Minoru Kuribayashi
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  4. Rahardhita Widyatra Sudibyo
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  5. Nobuya Ishihara
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  6. Wen-Chun Kao
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Makoto Takizawa

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Computer Science and Information Engineering, Asian University, Taichung, Taiwan

    Hsing-Chung Chen

  5. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Keita Matsuo

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Huda, S., Funabiki, N., Kuribayashi, M., Sudibyo, R.W., Ishihara, N., Kao, WC. (2021). A Proposal of Air-Conditioning Guidance System Using Discomfort Index. In: Barolli, L., Takizawa, M., Enokido, T., Chen, HC., Matsuo, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2020. Lecture Notes in Networks and Systems, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-030-61108-8_15

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  • DOI: https://doi.org/10.1007/978-3-030-61108-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61107-1

  • Online ISBN: 978-3-030-61108-8

  • eBook Packages: EngineeringEngineering (R0)

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