Economic Multiple Model Predictive Control for HVAC Systems—A Case Study for a Food Manufacturer in Germany

Tobias Heidrich, Jonathan Grobe, Henning Meschede and Jens Hesselbach
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Tobias Heidrich: Department for Sustainable Products and Processes (upp), University of Kassel, 34125 Kassel, Germany
Jonathan Grobe: Department for Sustainable Products and Processes (upp), University of Kassel, 34125 Kassel, Germany
Henning Meschede: Department for Sustainable Products and Processes (upp), University of Kassel, 34125 Kassel, Germany
Jens Hesselbach: Department for Sustainable Products and Processes (upp), University of Kassel, 34125 Kassel, Germany

Energies, 2018, vol. 11, issue 12, 1-18

Abstract: The following paper describes an economical, multiple model predictive control (EMMPC) for an air conditioning system of a confectionery manufacturer in Germany. The application consists of a packaging hall for chocolate bars, in which a new local conveyor belt air conditioning system is used and thus the temperature and humidity limits in the hall can be significantly extended. The EMMPC calculates the optimum energy or cost humidity and temperature set points in the hall. For this purpose, time-discrete state space models and an economic objective function with which it is possible to react to flexible electricity prices in a cost-optimised manner are created. A possible future electricity price model for Germany with a flexible Renewable Energies levy (EEG levy) was used as a flexible electricity price. The flexibility potential is determined by variable temperature and humidity limits in the hall, which are oriented towards the comfort field for easily working persons, and the building mass. The building mass of the created room model is used as a thermal energy store. Considering the electricity price and weather forecasts as well as an internal, production plan-dependent load forecasts, the model predictive controller directly controls the heating and cooling register and the humidifier of the air conditioning system.

Keywords: model predictive control; HVAC; climate control; flexible control technologies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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