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Controller tuning of district heating networks using experiment design techniques

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  • Dobos, László
  • Abonyi, János

Abstract

There are various governmental policies aimed at reducing the dependence on fossil fuels for space heating and the reduction in its associated emission of greenhouse gases. DHNs (District heating networks) could provide an efficient method for house and space heating by utilizing residual industrial waste heat. In such systems, heat is produced and/or thermally upgraded in a central plant and then distributed to the end users through a pipeline network. The control strategies of these networks are rather difficult thanks to the non-linearity of the system and the strong interconnection between the controlled variables. That is why a NMPC (non-linear model predictive controller) could be applied to be able to fulfill the heat demand of the consumers. The main objective of this paper is to propose a tuning method for the applied NMPC to fulfill the control goal as soon as possible. The performance of the controller is characterized by an economic cost function based on pre-defined operation ranges. A methodology from the field of experiment design is applied to tune the model predictive controller to reach the best performance. The efficiency of the proposed methodology is proven throughout a case study of a simulated NMPC controlled DHN.

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  • Dobos, László & Abonyi, János, 2011. "Controller tuning of district heating networks using experiment design techniques," Energy, Elsevier, vol. 36(8), pages 4633-4639.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:8:p:4633-4639
    DOI: 10.1016/j.energy.2011.04.014
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    1. Yildirim, Nurdan & Toksoy, Macit & Gokcen, Gulden, 2010. "Piping network design of geothermal district heating systems: Case study for a university campus," Energy, Elsevier, vol. 35(8), pages 3256-3262.
    2. Zhao, H. & Holst, J. & Arvastson, L., 1998. "Optimal operation of coproduction with storage," Energy, Elsevier, vol. 23(10), pages 859-866.
    3. Krüger, Klaus & Franke, Rüdiger & Rode, Manfred, 2004. "Optimization of boiler start-up using a nonlinear boiler model and hard constraints," Energy, Elsevier, vol. 29(12), pages 2239-2251.
    4. Molyneaux, A. & Leyland, G. & Favrat, D., 2010. "Environomic multi-objective optimisation of a district heating network considering centralized and decentralized heat pumps," Energy, Elsevier, vol. 35(2), pages 751-758.
    5. Voutetakis, Spyros S. & Seferlis, Panos & Papadopoulou, Simira & Kyriakos, Yorgos, 2006. "Model-based control of temperature and energy requirements in a fluidised furnace reactor," Energy, Elsevier, vol. 31(13), pages 2418-2427.
    6. Pinson, P. & Nielsen, T.S. & Nielsen, H.Aa. & Poulsen, N.K. & Madsen, H., 2009. "Temperature prediction at critical points in district heating systems," European Journal of Operational Research, Elsevier, vol. 194(1), pages 163-176, April.
    7. Knutsson, David & Sahlin, Jenny & Werner, Sven & Ekvall, Tomas & Ahlgren, Erik O., 2006. "HEATSPOT—a simulation tool for national district heating analyses," Energy, Elsevier, vol. 31(2), pages 278-293.
    8. Torchio, Marco F. & Genon, Giuseppe & Poggio, Alberto & Poggio, Marco, 2009. "Merging of energy and environmental analyses for district heating systems," Energy, Elsevier, vol. 34(3), pages 220-227.
    9. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
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