Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems
Abstract
Traditional building simulation programs possess attributes that make them difficult to use for the design and analysis of building energy and control systems and for the support of model-based research and development of systems that may not already be implemented in these programs. This article presents characteristic features of such applications, and it shows how equation-based object-oriented modelling can meet requirements that arise in such applications. Next, the implementation of an open-source component model library for building energy systems is presented. The library has been developed using the equation-based object-oriented Modelica modelling language. Technical challenges of modelling and simulating such systems are discussed. Research needs are presented to make this technology accessible to user groups that have more stringent requirements with respect to the numerical robustness of simulation than a research community may have. Two examples are presented in which models from the here described library were used. The first example describes the design of a controller for a nonlinear model of a heating coil using model reduction and frequency domain analysis. The second example describes the tuning of control parameters for a static pressure reset controller of a variable air volume flow system. The tuning has been done bymore »
- Authors:
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- Environmental Energy Technologies Division
- OSTI Identifier:
- 974316
- Report Number(s):
- LBNL-2740E
TRN: US201007%%488
- DOE Contract Number:
- DE-AC02-05CH11231
- Resource Type:
- Journal Article
- Journal Name:
- Journal of Building Performance Simulation
- Additional Journal Information:
- Journal Volume: 2; Journal Issue: 2; Related Information: Journal Publication Date: June 2009
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32; AIR; BLOWERS; CONTROL SYSTEMS; DESIGN; ENERGY SYSTEMS; HEATING; IMPLEMENTATION; OPTIMIZATION; SIMULATION; TUNING
Citation Formats
Wetter, Michael. Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems. United States: N. p., 2009.
Web. doi:10.1080/19401490902818259.
Wetter, Michael. Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems. United States. https://doi.org/10.1080/19401490902818259
Wetter, Michael. 2009.
"Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems". United States. https://doi.org/10.1080/19401490902818259. https://www.osti.gov/servlets/purl/974316.
@article{osti_974316,
title = {Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems},
author = {Wetter, Michael},
abstractNote = {Traditional building simulation programs possess attributes that make them difficult to use for the design and analysis of building energy and control systems and for the support of model-based research and development of systems that may not already be implemented in these programs. This article presents characteristic features of such applications, and it shows how equation-based object-oriented modelling can meet requirements that arise in such applications. Next, the implementation of an open-source component model library for building energy systems is presented. The library has been developed using the equation-based object-oriented Modelica modelling language. Technical challenges of modelling and simulating such systems are discussed. Research needs are presented to make this technology accessible to user groups that have more stringent requirements with respect to the numerical robustness of simulation than a research community may have. Two examples are presented in which models from the here described library were used. The first example describes the design of a controller for a nonlinear model of a heating coil using model reduction and frequency domain analysis. The second example describes the tuning of control parameters for a static pressure reset controller of a variable air volume flow system. The tuning has been done by solving a non-convex optimization problem that minimizes fan energy subject to state constraints.},
doi = {10.1080/19401490902818259},
url = {https://www.osti.gov/biblio/974316},
journal = {Journal of Building Performance Simulation},
number = 2,
volume = 2,
place = {United States},
year = {Thu Feb 12 00:00:00 EST 2009},
month = {Thu Feb 12 00:00:00 EST 2009}
}