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Title: Simulation Speed Analysis and Improvements of Modelica Models for Building Energy Simulation

Abstract

This paper presents an approach for speeding up Modelica models. Insight is provided into how Modelica models are solved and what determines the tool’s computational speed. Aspects such as algebraic loops, code efficiency and integrator choice are discussed. This is illustrated using simple building simulation examples and Dymola. The generality of the work is in some cases verified using OpenModelica. Using this approach, a medium sized office building including building envelope, heating ventilation and air conditioning (HVAC) systems and control strategy can be simulated at a speed five hundred times faster than real time.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Environmental Energy Technologies Division
OSTI Identifier:
1249560
Report Number(s):
LBNL-1002904
ir:1002904
Resource Type:
Conference
Country of Publication:
United States
Language:
English

Citation Formats

Jorissen, Filip, Wetter, Michael, and Helsen, Lieve. Simulation Speed Analysis and Improvements of Modelica Models for Building Energy Simulation. United States: N. p., 2015. Web.
Jorissen, Filip, Wetter, Michael, & Helsen, Lieve. Simulation Speed Analysis and Improvements of Modelica Models for Building Energy Simulation. United States.
Jorissen, Filip, Wetter, Michael, and Helsen, Lieve. 2015. "Simulation Speed Analysis and Improvements of Modelica Models for Building Energy Simulation". United States. https://www.osti.gov/servlets/purl/1249560.
@article{osti_1249560,
title = {Simulation Speed Analysis and Improvements of Modelica Models for Building Energy Simulation},
author = {Jorissen, Filip and Wetter, Michael and Helsen, Lieve},
abstractNote = {This paper presents an approach for speeding up Modelica models. Insight is provided into how Modelica models are solved and what determines the tool’s computational speed. Aspects such as algebraic loops, code efficiency and integrator choice are discussed. This is illustrated using simple building simulation examples and Dymola. The generality of the work is in some cases verified using OpenModelica. Using this approach, a medium sized office building including building envelope, heating ventilation and air conditioning (HVAC) systems and control strategy can be simulated at a speed five hundred times faster than real time.},
doi = {},
url = {https://www.osti.gov/biblio/1249560}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 21 00:00:00 EDT 2015},
month = {Mon Sep 21 00:00:00 EDT 2015}
}

Conference:
Other availability
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