Cross-flowing displacement ventilation system for conveyor belts in the food industry

Heidrich, Tobias; Alimi, Aria; Grothues, Leon; Hesselbach, Jens; Wünsch, Olaf

doi:10.1016/j.enbuild.2018.09.021

Cited by 7 publications

(11 citation statements)

References 11 publications

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“…As a case study, a production hall for the packaging of chocolate bars is used, which are locally air-conditioned by a cross-flowing displacement ventilation for conveyor belts, so that the room air condition can be kept within the comfort field with the help of restrictions and does not have to depend on the product requirements of the chocolate (18 • C, 50% relative humidity). Accordingly, the physically possible savings described by Heidrich et al (2018) [15] can be achieved efficiently and flexibly with the EMMPC controller. The internal loads of the production hall, as well as weather data, influence the system as disturbance variables and are taken into account by the EMMPC controller.…”

Section: Discussionmentioning

confidence: 99%

“…In this section, the analysed system based on a real confectionery manufacturer and the models used to calculate flexibility and savings potentials are described. The system consists of a packaging hall for chocolate bars, which are cooled by a novel, local air-conditioning system introduced by Heidrich et al [15] and a connected air-conditioning system for providing conditioned air to the rest of the hall within the limits of the comfort field for workers.…”

Section: Model Descriptionmentioning

confidence: 99%

“…For the flexible operation of the air conditioning, the air mass of the hall is used as thermal energy storage. Allowing a range of temperature and humidity specifications is a key requirement [15][16][17]. Especially in industries, these ranges are often not applied due to fixed settings and strict specifications of the product.…”

Section: Introduction and Problem Descriptionmentioning

confidence: 99%

“…The product has strict temperature and humidity specifications. Therefore, the implementation of a new, local conveyor belt air conditioning system is indispensable to achieve these specifications for the hall [15,17,18].…”

Section: Introduction and Problem Descriptionmentioning

confidence: 99%

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

et al. 2018

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Model Descriptionmentioning

confidence: 99%

Section: Introduction and Problem Descriptionmentioning

confidence: 99%

Section: Introduction and Problem Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

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

et al. 2018

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show abstract

“…For the flexible operation of the air conditioning the air mass of any hall is used as thermal energy storage. Hence, allowing a range of temperature and humidity specifications is key requirement [12] [13] [14]. Especially in industries, these ranges are often not given due to fixed settings and strict specifications of the product.…”

Section: Introduction and Problem Descriptionmentioning

confidence: 99%

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

Heidrich¹,

Grobe²,

Meschede³

et al. 2018

Preprint

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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 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 electricity price and weather forecasts as well as 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.

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Regional flow motion and heat energy balance analysis of a 10,000 class pharmaceutical cleanroom with secondary return air conditioning system

Zhao

Cheng

Liang

et al. 2021

International Journal of Refrigeration

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Cross-flowing displacement ventilation system for conveyor belts in the food industry

Cited by 7 publications

References 11 publications

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

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

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

Regional flow motion and heat energy balance analysis of a 10,000 class pharmaceutical cleanroom with secondary return air conditioning system

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