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智慧供热技术浅析

Brief Analysis of Intelligent Heating Technology
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摘要 改革开放以来我国的供热行业有了飞跃式发展,但仍存在一些问题。在大力建设智慧城市和推进“互联网+”智慧能源发展的背景下,供热系统作为能源产业的重要分支,智慧供热的概念应运而生。本文通过对智慧供热系统的介绍,论述了组成智慧供热技术构架的各方面,即:供热物理系统与信息系统之间“状态感知—实时分析—优化决策—精准执行”的闭环赋能体系[1]并举出了相关应用实例。
出处 《石油和化工设备》 CAS 2019年第6期111-113,共3页 Petro & Chemical Equipment
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  • 1郑瑞芸,姜永成,王昭俊,白秀梅,杨恩泽,王日森.集中供热系统适量供热调节技术[J].哈尔滨工业大学学报,2009,41(12):69-72. 被引量:11
  • 2江亿.我国供热节能中的问题和解决途径[J].暖通空调,2006,36(3):37-41. 被引量:125
  • 3[1]李善华,康惠.集中供热设计手册[M].北京:中国电力出版社,1996.
  • 4Christiaanse W R. Short-term load forecasting using general exponential smoothing[J]. Power Apparatus and Systems, 1971, 90(2) :900-911.
  • 5Thompson R P. Weather sensitive electric demand and energy analysis on a large geographically diverse power system. Application to short-term hourly electric demand forecasting [J]. Power Apparatus and Systems, 1976, 95(1) :385-393.
  • 6Irissari G D, Widergren S E, Yehsakul P D. On-line load forecasting for energy control center application[J]. Power Apparatus and Systems, 1982, 101(1):71- 78.
  • 7Toyoda J, Chen M S, Inoue P D. An application of state estimation to short-term load forecasting, Parts I: Forecasting modelling[J]. Power Apparatus and Systems, 1970, 89(7) : 1678-1682.
  • 8Toyoda J, Chen M S, Inoue P D. An application of state estimation to short-term load forecasting, Parts Ⅱ: Implementation [ J ]. Power Apparatus and Systems, 1970, 89(7) : 1683-1688.
  • 9Kawashima M, Dorgan C E, Mitchell J W. Optimizing system control with load prediction by neural networks for an ice-storage system [G]/// ASHRAE Trans, 1996,102(1) : 1169-1178.
  • 10Jiang Yongeheng, Zheng RuiyurL An appropriate heating control technology in variable flow rate central heating systems [C]//The 6th International Conference on Cold Climate. Greenland, 2009.

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