Article | Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 | Optimal Control of District Heating Systems using Dynamic Simulation and Mixed Integer Linear Programming Link�ping University Electronic Press Conference Proceedings
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Title:
Optimal Control of District Heating Systems using Dynamic Simulation and Mixed Integer Linear Programming
Author:
Loïc Giraud: Univ. Grenoble Alpes, INES, F-73375 Le Bourget du Lac, France Massinissa Merabet: Univ. Grenoble Alpes, INES, F-73375 Le Bourget du Lac, France Roland Baviere: CEA, LITEN, 17, Rue des Martyrs, F-38054 Grenoble, France Mathieu Vallée: Univ. Grenoble Alpes, INES, F-73375 Le Bourget du Lac, France
DOI:
10.3384/ecp17132141
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.:
014
Pages:
141-150
No. of pages:
10
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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This paper presents the development of a new advanced control method suitable for variable temperature District Heating Systems (DHS). The proposed controller determines optimal planning for the on/off status and power of the heat generators as well as for the supply temperature and differential pressure at the production plant level. Compared to existing methods, the original features of the developed solution are to fully exploit the thermal storage capacity of the network and to determine the best compromise between pumping costs and heat losses. A numerical case study based on a representative DHS is used to evaluate the method over a heating season (5 months). Results show that our method reduces production costs up to 8.3 % when compared to a more classical controller. Moreover, the observed computational costs are compatible with the requirements of the receding time horizon principle, ensuring that the method is tractable on real DHS.

Keywords: District Heating Model Predictive Control Dynamic Simulation Mixed Integer Linear Programming

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

Author:
Loïc Giraud, Massinissa Merabet, Roland Baviere, Mathieu Vallée
Title:
Optimal Control of District Heating Systems using Dynamic Simulation and Mixed Integer Linear Programming
DOI:
http://dx.doi.org/10.3384/ecp17132141
References:

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

Author:
Loïc Giraud, Massinissa Merabet, Roland Baviere, Mathieu Vallée
Title:
Optimal Control of District Heating Systems using Dynamic Simulation and Mixed Integer Linear Programming
DOI:
http://dx.doi.org/10.3384/ecp17132141
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