智慧供热系统低碳运行的设计与研究

作者:席江涛 聂诚飞 查波
单位:中国建筑西北设计研究院有限公司
摘要:先进的控制系统是保证区域供暖系统精准管控和节能运行的关键。因此针对能源管控中心和各换热站及其二次侧输配管网建立智慧供热系统,实现区域供暖系统的智慧和低碳运行。该系统首先在软件层基于人工智能技术对各换热站及其二次侧输配管网的主要调节设备进行基于负荷预测的分布式优化提前联动控制策略设计研究;然后在硬件层对现场设备的监控和分布式控制架构进行设计;最后在网络层基于无源光网络技术完成数据传输方案的设计,将软件层控制策略与硬件层监控设备进行有机结合。通过在实际工程中对该智慧供热系统的运行进行调试,能够满足运维人员对系统运行的智慧化需求和末端用户的热舒适需求,实现区域供暖系统的节能低碳运行。
关键词:智慧供热低碳运行区域供暖人工智能无源光网络技术分布式控制
作者简介:席江涛,男,1997年生,硕士研究生,工程师,710018陕西省西安市文景路98号中国建筑西北设计研究院有限公司,E-mail:xi_jiangtao1124@163.com;
基金:中国建筑西北设计研究院有限公司科研计划项目“大型能源站低碳智慧管控技术研究”(编号:NB-2022-DQ-09);陕西省科技发展计划项目(科学技术厅)“既有建筑低碳智慧管控关键技术研究与应用”(编号:2022JH-JSGGJQ-0026);
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Design and research on low carbon operation of an intelligent heating system
Xi Jiangtao Nie Chengfei Zha Bo
(China Northwest Architecture Design and Research Institute Co., Ltd.)
Abstract: An advanced control system is the key to ensuring accurate control and energy saving operation of district heating systems. Therefore, an intelligent heating system is established for the energy management center, heat exchange stations and their secondary side transmission and distribution networks to achieve intelligent and low-carbon operation of the district heating systems. The system firstly focuses on the main regulating equipment of each heat exchange station and its secondary side transmission and distribution network, using artificial intelligence technology in the software layer to investigate the design of distributed optimal advance linkage control strategy based on load prediction. Then, the monitoring and distributed control architecture for field equipment is designed in the hardware layer. Finally, based on passive optical network(PON) technology in the network layer, a data transmission scheme is designed to organically combine the software layer control strategy with the hardware layer monitoring equipment. By operating and commissioning this intelligent heating system in actual projects, it is found that the system can meet operational personnel's requirements for intelligent system operation and end-users' demand for thermal comfort, so as to achieve energy saving and low-carbon operation of the district heating system.
Keywords: intelligent heating; low-carbon operation; district heating; artificial intelligence; passive optical network(PON) technology; distributed control;
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