Feng, Y.; Zhu, H.; Feng, X.; Chen, Q.; Sun, X.; Li, Z. Optimization of Dual-Design Operation Ventilation System Network Based on Improved Genetic Algorithm. Energies2023, 16, 7931.
Feng, Y.; Zhu, H.; Feng, X.; Chen, Q.; Sun, X.; Li, Z. Optimization of Dual-Design Operation Ventilation System Network Based on Improved Genetic Algorithm. Energies 2023, 16, 7931.
Feng, Y.; Zhu, H.; Feng, X.; Chen, Q.; Sun, X.; Li, Z. Optimization of Dual-Design Operation Ventilation System Network Based on Improved Genetic Algorithm. Energies2023, 16, 7931.
Feng, Y.; Zhu, H.; Feng, X.; Chen, Q.; Sun, X.; Li, Z. Optimization of Dual-Design Operation Ventilation System Network Based on Improved Genetic Algorithm. Energies 2023, 16, 7931.
Abstract
The COVID-19 pandemic has emphasized the crucial role of ventilation systems in mitigating cross-infections, especially in infectious disease hospitals. This study introduces a dual-design operation ventilation system that can operate under two sets of ventilation conditions for normal and epidemic times. A challenge is optimizing duct diameters for required airflow while maintaining hydraulic balance. We design a genetic algorithm with adaptive penalty factor, the velocity constraint and the improved crossover and mutation probability. The improved genetic algorithm is suitable for ventilation system networks, which can find a better air duct diameters combination to improve the hydraulic balance rate, and reduce the usage of air valves, resulting in efficient hydraulic balancing commissioning. Compared with the traditional genetic algorithm, it has a faster search speed and a better global search ability, which is effective for the optimal design of ventilation system networks.
Keywords
ventilation system networks; design optimization; genetic algorithm
Subject
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
