Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4916299 | Applied Energy | 2017 | 20 Pages |
Abstract
DiDeProM was applied to a block of buildings in Turin (Italy) as a case study. After the calibration of the simulation model on real monitored data, a parametric analysis on 300 scenarios for a reference building was conducted, generating a database of seasonal thermal heating energy demand profiles with hourly time steps. An average hourly heating profile was generated from this database according to a specific aggregation approach. The DiDeProM application indicated that the model works properly at the scale of a typical small block of buildings, and it is able to generate a total thermal energy demand profile, with detailed time resolution, at an urban district scale. These profiles will be used to create demand side management strategies that will integrate thermal energy storage and renewable energy technologies at a district scale.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Georgios Kazas, Enrico Fabrizio, Marco Perino,