JAUE2024-023: Changes In The Amount Of Heat Supply During COVID-19 Pandemic In Sapporo

Authors

  • Hidemitsu Koyanagi Hokkai Gakuen University Author

DOI:

https://doi.org/10.69457/aiue.20240023

Keywords:

District Heating and Cooling, Artificial Intelligence, COVID-19, Teleworking

Abstract

The number of cases has increased where artificial intelligence has been used to predict heat source loads and plan the operational schedule of heat sources. On the other hand, since the COVID-19 pandemic, teleworking has begun to spread, and it is necessary to consider the number of building users when predicting heat source load. In this study, to clarify the impact of the changes in the number of building users on heat source loads, the changes were analyzed in the amount of heat supply during the COVID-19 pandemic compared to before the pandemic for 73 buildings including offices, hotels, commercial facilities, and hospitals located around Sapporo Station. As a result, it turned out that: 1. In the office, the smaller the total floor area, the greater the change in the amount of heat supply. 2. In the hotels and commercial facilities, the amount of heat supply decreased regardless of the total floor area. 3. In the hospitals, the amount of heat supply increased regardless of the total floor area. Future tasks include investigating the implementation status of teleworking during the COVID-19 pandemic and clarifying the relation between changes in the number of building users and changes in heat supply quantitatively.

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Published

2026-03-08

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