四型机场能源系统运行优化关键技术研究
Key Technologies for Operation Optimization of Four-type Airport's Energy System
李兵 1赵阳 1赵骥 2刘文 1钟世权 2杨玉 1石祥建 1许杰2
作者信息
- 1. 南京南瑞继保电气有限公司,南京 211102
- 2. 广东省建筑设计研究院有限公司,广州 510000
- 折叠
摘要
针对四型机场建设需求,对机场能源系统运行优化涉及的主要关键问题进行研究.提出基于机器学习及动态校正的航站楼冷热负荷预测模型,在此基础上建立能源中心多能互补能源系统的多周期非线性在线优化模型,实现系统的运行方式优化与供需动态匹配;进而研究建立航班-空调联动控制模型,根据航班信息估计航站楼内人流分布,动态优化空调系统运行参数,降低系统运行能耗;结合机场智慧能源管控系统建设要求,给出了上述优化技术的实施途径,在保证旅客舒适度的基础上,可有效提高机场能源智能化水平,降低系统运行成本与运维工作量.
Abstract
Aiming at the demand of four-type airport construction,the main key technologies of operation optimization of airport energy system are researched.The cooling and hot load forecast model of airport terminal based on machine learning combined with dynamic correction is proposed,based on this,a multi-period optimization model is built,which realizes the optimization and supply and demand dynamic matching of the multi-energy complementary system.Then the linkage control of flight and air conditioning is researched,which realizes the dynamic optimization of operating parameters of air conditioning according to the pedestrian distribution based on flight information.Lastly,combined with the construction requirement of intelligent energy management system,the implementation approach of the above-mentioned models is proposed,which can improve the energy management level and decrease the running cost and operation and maintenance work of the energy on the basis of guarantee of passenger comfortability.
关键词
四型机场/能源/航班信息/负荷预测/运行优化Key words
our-type airport/energy/flight information/load forecast/operation optimization引用本文复制引用
出版年
2023
NETL
NSTL
维普
万方数据