Open AccessAutomated modelling of building energy systems with mode-based control algorithms in Modelica
Author(s) -
Xiaoye Cai,
Jianru Xue,
Alexander Kümpel,
Dirk Müller
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 - 10.1088/1742-6596/2042/1/012067
Subject(s) - modelica , computer science , process (computing) , control engineering , energy (signal processing) , mode (computer interface) , control (management) , renewable energy , algorithm , engineering , simulation , artificial intelligence , statistics , mathematics , electrical engineering , operating system
The increasing use of renewable energy in building energy systems has brought considerable challenges for the traditional planning process to develop appropriate control strategies. In previous work, we have introduced the MODI method to support the structured development of mode-based control algorithms, in which operating modes are core elements. However, modeling of energy systems and control algorithms for control tests is time-consuming and error-prone. Identification of permissible operating modes is also unfeasible. The paper introduces a methodology to identify permissible operating modes and model energy systems with mode-based control algorithms in the modeling language Modelica automatically. In the case study, we apply the methodology for an energy supply network and verify the functionality of the methodology. In future work, automated optimization of control algorithms will be integrated into the methodology.