Article | Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 | Framework for dynamic optimization of district heating systems using Optimica Compiler Toolkit
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Title:
Framework for dynamic optimization of district heating systems using Optimica Compiler Toolkit
Author:
Gerald Schweiger: AEE INTEC, 8200 Gleisdorf, Austria Håkan Runvik: Modelon AB, SE-223 70 Lund, Sweden Fredrik Magnusson: Lund University, SE-221 00 Lund, Sweden / Modelon AB, SE-223 70 Lund, Sweden Per-Ola Larsson: Modelon AB, SE-223 70 Lund, Sweden Stéphane Velut: Modelon AB, SE-223 70 Lund, Sweden
DOI:
10.3384/ecp17132131
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017
Issue:
132
Article no.:
013
Pages:
131-139
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2017-07-04
ISBN:
978-91-7685-575-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Recent studies show that district heating infrastructures should play an important role in future sustainable energy systems. Tools for dynamic optimization are required to increase the efficiency of existing systems and design new ones. This paper presents a novel framework to represent, simplify, simulate and optimize district heating systems. The framework is implemented in Python and is based on Optimica Compiler Toolkit as well as Modelon’s Thermal Power Library. The high-level description of optimization problems using Optimica allows flexible optimization formulations including constraints on physically relevant variables such as supply temperature, flow rate and pressures. The benefit of new algorithms for symbolic elimination in Optimica Compiler Toolkit is also investigated. The framework is applied on a test case, which is based on a planned city district located in Graz, Austria. The results demonstrate the generality of the representation as well as the accuracy of the simplification for dynamic optimization of temperature supply and pressure control.

Keywords: district heating dynamic optimization symbolic elimination

Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Gerald Schweiger, Håkan Runvik, Fredrik Magnusson, Per-Ola Larsson, Stéphane Velut
Title:
Framework for dynamic optimization of district heating systems using Optimica Compiler Toolkit
DOI:
http://dx.doi.org/10.3384/ecp17132131
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Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Gerald Schweiger, Håkan Runvik, Fredrik Magnusson, Per-Ola Larsson, Stéphane Velut
Title:
Framework for dynamic optimization of district heating systems using Optimica Compiler Toolkit
DOI:
http://dx.doi.org/10.3384/ecp17132131
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Last updated: 2017-02-21