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。
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.
作者
李兵
赵阳
赵骥
刘文
钟世权
杨玉
石祥建
许杰
LI Bing;ZHAO Yang;ZHAO Ji;LIU Wen;ZHONG Shiquan;YANG Yu;SHI Xiangjian;XU Jie(Nanjing NARI-relays Electric Co.,Ltd.,Nanjing 211102,China;Guangdong Architectural Design and Research Institute Co.,Ltd.,Guangzhou 510000,China)
出处
《建筑节能（中英文）》
CAS
2023年第12期129-132,共4页
Building Energy Efficiency
基金
江苏省“333工程”青年人才专项:高可再生能源占比下绿色交通场站多能互补耦合供能系统运行优化控制技术研究。
关键词
四型机场
能源
航班信息
负荷预测
运行优化
our-type airport
energy
flight information
load forecast
operation optimization
作者简介
通讯作者:李兵(1986),男,江苏南通人,毕业于东南大学,动力工程及工程热物理专业,硕士,高级工程师,主要从事机场智慧能源系统设计与优化方面的研究(lib@nrec.com)。
