Baier, Norman Urs; Meier, Thomas (2020). Using Model Predictive Control to Modulate the Humidity in a Broiler House and Effect on Energy Consumption Athens Journal of Technology and Engineering, 7(3), pp. 157-183. Engineering & Architecture Division of ATINER 10.30958/ajte.7-3-1
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Baier 2020 7 Using Model Predictive Control to Modulate.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC). Download (1MB) | Preview |
In moderate climate, broiler chicken houses are important heating energy consumers and hence heating fuel consumption accounts for a large part in operating costs. They can be reduced by constructional measures, which in turn lead to important costs as well. On the other hand, a software solution to reduce energy would lead to considerably less follow-up costs. The main objective of our work was to assess if it is possible to save energy with a software solution and eventually quantify the savings for a given broiler house in the Swiss Plateau. The investigation was carried out in simulation: the particular broiler house was measured, and a dynamical model for it was derived and validated. To actually search for a particular behaviour of the software that would lead to energy savings, model predictive control was used. The idea was not to specify a particular behaviour of the software but rather to let the software itself find the best behaviour in an exhaustive search. The simulations showed that energy savings can be realised mainly by letting the indoor humidity deviate from what usually is used as setpoint and hence take profit of the outdoor climate, which changes naturally during a 24-hour course. We used expert opinions to determine how long and large these setpoint deviations may be without harming the broilers. The simulations showed alsothat the light control and the biological activity of the animals reduced the potential savings.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
School of Engineering and Computer Science > Intelligente industrielle Systeme (I3S) |
Name: |
Baier, Norman Urs 0000-0003-2868-6414 and Meier, Thomas |
Subjects: |
T Technology > TK Electrical engineering. Electronics Nuclear engineering |
ISSN: |
2241-8237 |
Publisher: |
Engineering & Architecture Division of ATINER |
Funders: |
Organisations 17220 not found. |
Projects: |
[UNSPECIFIED] Reduzierter Energieverbrauch in der Geflügelmast durch prädiktive Regelung und gebäudetechnische Massnahmen |
Language: |
English |
Submitter: |
Norman Urs Baier |
Date Deposited: |
07 Aug 2020 10:20 |
Last Modified: |
18 Dec 2020 13:30 |
Publisher DOI: |
10.30958/ajte.7-3-1 |
Related URLs: |
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Uncontrolled Keywords: |
Energy conservation, heating, ventilation, and air conditioning (HVAC), implicit model predictive control (MPC), poultry house model, temperaturecontrol |
ARBOR DOI: |
10.24451/arbor.12203 |
URI: |
https://arbor.bfh.ch/id/eprint/12203 |
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