Open AccessStatistical analysis of 200 digital twins for thermal load of Swiss buildings created from smart grid monitoring data
Author(s) -
A Melillo,
Esther Linder,
Braulio Barahona,
Philipp Schuetz
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2042/1/012009
Subject(s) - thermal inertia , flexibility (engineering) , smart grid , heat pump , grid , computer science , key (lock) , metre , thermal , smart meter , identification (biology) , environmental science , engineering , mechanical engineering , meteorology , electrical engineering , geography , statistics , physics , botany , mathematics , heat exchanger , geodesy , computer security , astronomy , biology
Exploiting thermal inertia of buildings as flexibility for the electric grid requires information about thermal dynamics in the system. The presented paper proposes a new method to create digital twins based on smart meter monitoring data and has been applied to 200 Swiss residential buildings. The statistical analysis of these heat pump based heating systems shows expected distributions of key parameters such as heat losses, solar gain factors and thermal capacities. Regional comparisons for crucial building parameters have been carried out and the remote identification of potential renovation candidates has shown promising results.