Datasets
Standard Dataset
Data of heating meters from residential buildings in Tomsk (Russia) for statistical modeling of the thermal characteristics of buildings
- Citation Author(s):
- Submitted by:
- Oleg Stukach
- Last updated:
- Sun, 05/10/2020 - 02:19
- DOI:
- 10.21227/3r4e-ch18
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
The large variability of system and types of heating load is a feature of the commercial metering of thermal energy. Heating consumption depends on many factors, for example, wall and roof material, floors number, system (opened and closed) etc. The daily data from heating meters in the residential buildings are presented in this dataset for comparing the thermal characteristics. These data are supplemented by floors number, wall material and year of construction, as well as data on average daily outdoor temperatures. Energy consumed by the building during the heating season may be an indicator of the heating supply of building. At the fixed comfortable temperature inside rooms (24 Celsius degrees) the thermal energy consumed by the building was measured. The smaller one, the better a quality of thermal protection, and the more efficiency of heating. This statistics can be useful for management to increase the energy efficiency of residential buildings.
Comments
Looking for a residential thermal load dataset
Amazing work. If possible, looking for the dataset used in this article. must be appreciated. thanks
If possible, looking for the dataset used in this article. Thank you