Automatic Set of the Temperature of Spray Nozzle for Beer Sterilization Machine by Considering Control Energy Consumption

DOI

10.2991/esm-16.2016.14How to use a DOI?

Keywords

Sterilization machine, genetic algorithm, PU, energy consumption

Abstract

Now the temperature setting value of the spray nozzle in sterilization machine of each temperature zone always depends on experience, lacking of real theoretical basis, leading high energy consumption problem during the beer sterilization process. To solve this problem, the thesis according to the theory of thermodynamics establishes mathematical model of the temperature of spray nozzle and beer, and establish the optimization target association model of energy consumption and the setting temperature of spray nozzle firstly; then use the minimum difference value of the beer actual PU and the theoretical, and the minimum energy consumption of sterilization machine as the optimization objective, using the multi-objective genetic algorithm to solve the multi-objective optimization problem, and obtain the optimal target value, realize low energy consumption. The theoretical and experimental results show that the proposed model is correct and can effectively reduce the energy consumption.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qingyan Yang
AU  - Kuibang Zhang
PY  - 2016/08
DA  - 2016/08
TI  - Automatic Set of the Temperature of Spray Nozzle for Beer Sterilization Machine by Considering Control Energy Consumption
BT  - Proceedings of the 2016 International Conference on Engineering Science and Management
PB  - Atlantis Press
SP  - 54
EP  - 60
SN  - 2352-5401
UR  - https://doi.org/10.2991/esm-16.2016.14
DO  - 10.2991/esm-16.2016.14
ID  - Yang2016/08
ER  -