| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5444883 | Energy Procedia | 2017 | 6 Pages |
Abstract
Nowadays, new methods for the determination of energy efficiency in buildings can be applied since highly-resolved monitoring data of HVAC (heating, ventilation and air conditioning) systems are available. The presented method aims to aggregate similar daily profiles of HVAC-variables into behavior patterns. For the method's validation, one-year monitoring data from a renovated single-family house have been analyzed. The results show that the daily profiles of different HVAC variables are usually aggregated into 4 to 8 groups of typical and untypical behavior patterns. Obtained behavior patterns were examined more closely and pointed out a performance gap for several systems.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Andrii Zakovorotnyi, Axel Seerig,