[en] In the frame of the IEA Annex 58 project, this paper presents an exercise of building energy performance characterization based on full scale dynamic measurements. First focus of the exercise is the verification and validation of the numerical TRNSYS BES-model of the case study test house in Holzkirchen. Second focus is on the modelling of the
house through a second order inverse “grey box” model in order to determine reliable performance indicators which include UA-value, total heat capacity, and solar aperture. Final issue is the comparison of predicted indoor temperatures of free
floating period, results of TRNSYS and “grey box” models simulation.
Disciplines :
Energy
Author, co-author :
Rehab, Imane
Andre, Philippe ; Université de Liège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Building Energy Monitoring and Simulation (BEMS)
Language :
English
Title :
Energy performance charactirisation of the test case "twin house" in Holzkirchen, based on Trnsys simulation and grey box model.
Publication date :
2015
Event name :
14th Conference of International Building Performance Simulation Association
Event organizer :
IBPSA
Event place :
Hyderabad, India
Event date :
du 7 décembre 2015 au 9 décembre 2015
By request :
Yes
Audience :
International
Main work title :
Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association
Andersen P.D., Jiménez M.J, Madsen H., Rode C. 2014. Characterization of heat dynamics of an arctic low-energy house with floor heating, Building Simulation, vol. 7, pp. 595-614.
Bohlin T. 1995. Editorial - Special issue on grey box Modelling, International journal of adaptive control and signal processing, vol. 9, pp. 461- 464.
De Coninck R., Magnussonc F., Åkesson J., Helsen L. 2014. Grey-Box Building Models for Model Order Reduction and Control, 10th International Modelica Conference, Lund, Sweden.
Hazyuk, I., Ghiaus, C. D. P. 2012. Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part II Control algorithm, Building and Environment journal vol. 51, 379-387.
Klein S. 2000. A Transient System Simulation Program, Solar Energy Laboratory, University of Wisconsin-Madison, USA.
Kim, D.W., Suh, W.J., Jung, j.T., Yoon, S.H. and Park, C.S. 2012. A mini test-bed for modeling, simulation and calibration, Proceeding of the Second International Conference on Building Energy and Environment 2012, August 1- 4, Boulder, Colorado, USA, pp.1145-1152.
Kramer R. van Schijndel J., Schellen H. 2012. Simplified thermal and hygric building models: A literature review, Frontiers of Architectural Research, vol. 1, pp. 318-325.
Kramer R. van Schijndel J., Schellen H. 2013. Inverse modeling of simplified hygrothermal building models to predict and characterize indoor climates, Building and Environment journal. Reference?.
Kristensen N.R., Madsen H., Jorgensen S.B. 2004. Parameter estimation in stochastic grey-box models, Automatica, vol.40, pp. 225-237.
Ljung L. 1999. System identification: Theory for the user. 2nd ed. Upper Saddle River, New York: Prentice-Hall, USA.
Madsen H., Holst J. 1995. Estimation of continuous time models for the heat dynamics of a building, Energy and Buildings, vol. 22, pp. 67-79.
Madsen H. 2001. Time series analysis. Lyngby, Denmark: Institute of Mathematical Modelling, Technical University of Denmark.
Strachan P., Heusler I., Kersken M., Jiménez M.J. 2014. Empirical Whole Model Validation and Common Exercise for Identification Modelling Specification, Test Case Twin House Experiment 2, IEA ECB Annex 58, Validation of Building Energy Simulation Tools (Subtask 4), Common Exercise (Subtask 3), version 4, Internal report of the IEA project Annex 58.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.
