Model Calibration of an Air Source Heat Pump System for Transient Simulations in Modelica.
Number: No 074
Author(s) : MEHRFELD P., NURENBERG M., MÜLLER D.
Summary
Within the scope of HVAC and building performance simulations, 74 % perform manual calibrations whilst the remaining 26 % aim for a fully automated process. Nonetheless, with focus on detailed grey-box simulation models for complex HVAC systems, such as a heat pumps (HP), a full automation might lead to several assumptions and, thus, to inaccuracies regarding the calibration results in terms of its misfit measures. Therefore, we define clear requirement specifications for an experimental design in combination with a semiautomated calibration procedure for an electrically driven air source HP system. The device under test is located in a climatic chamber and coupled to a hydraulic test bench, representing the source and sink of HP, respectively. As software toolchain, we use a combination of Python-based framework and Modelica-based simulation model library. We define the objective function as a chained and weighted KPI consisting of the normalized misfit measure CV(RMSE) of supply temperature and consumed electrical power. In a three-day long test with realistic dynamic boundary conditions, covering a comprehensive spectrum of inputs, we validate the calibrated models. The validation misfit measures show a deviation of 1.6 %.
Available documents
Format PDF
Pages: 11 p.
Available
Free
Details
- Original title: Model Calibration of an Air Source Heat Pump System for Transient Simulations in Modelica.
- Record ID : 30029966
- Languages: English
- Subject: Technology
- Source: 13th IEA Heat Pump Conference 2021: Heat Pumps – Mission for the Green World. Conference proceedings [full papers]
- Publication date: 2021/08/31
Links
See other articles from the proceedings (198)
See the conference proceedings
Indexing
- Themes: Heat pumps techniques
- Keywords: Air-source system; Simulation; Modelling; Test rig; Heat pump; Programming
-
Evaluation of machine learning methods for opti...
- Author(s) : KLINGEBIEL J., GOBEL S., VENZIK V., MÜLLER D.
- Date : 2022/06/13
- Languages : English
- Source: 15th IIR-Gustav Lorentzen Conference on Natural Refrigerants (GL2022). Proceedings. Trondheim, Norway, June 13-15th 2022.
- Formats : PDF
View record
-
Experimental investigation on the performance o...
- Author(s) : NIU J., WU H., DONG Y.
- Date : 2016/07/11
- Languages : English
- Source: 2016 Purdue Conferences. 16th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
View record
-
Optimal design strategy of selection and combin...
- Author(s) : WU C., LI X., WANG Z., XU Z., XU C., YANG Y., HUANG Y.
- Date : 2023/01
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 145
- Formats : PDF
View record
-
Modeling and validation of the effects of soft ...
- Author(s) : LLOPIS-MENGUAL B., NAVARRO-PERIS E., CORBERÁN J. M.
- Date : 2022/04
- Languages : English
- Source: XI Congreso Ibérico y IX Congreso Iberoamericano de Ciencias y Técnicas del Frío, CYTEF 2022.
- Formats : PDF
View record
-
Thermodynamic cycle analysis and experimental i...
- Author(s) : ZHAO H., LEI P., HUANG Y., et al.
- Date : 2019/08/24
- Languages : English
- Source: Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
- Formats : PDF
View record