摘要
针对寒冷地区某高校集中供热系统建筑类型不一致、供热需求复杂、运行成本高等现状,提出了多建筑类型集中供热系统节能优化运行调节方法.根据对各类型建筑的供热需求分析和改进基本供热调节方程,分别提出基于室内区域特征温度的建筑分时、分区、分温控制方法和换热站变压差质-量动态调节方法,并于2016-2017年供暖季将调节方法运用于该高校某复杂集中供热系统的实时控制.运行结果表明,在满足供热需求的前提下,与2015-2016年供暖季相比,2016-2017年供暖季耗热量下降22.9%,用电量下降33.6%,证明了所提优化运行调节方法节能的有效性,可为复杂集中供热系统提供参考.
Aiming at the inconsistence of the types of heating buildings, complexity of heating demand and high heating operation cost of central heating system at a certain college in a cold area, adjusting strategies are proposed for the energy-saving operation of optimization in central heating system of muhiple buildings types. According to the heating analysis of various types of buildings and improvement of the basic equation of heating regulation, tem- peratre control methods are proposed for building time-sharing and subarea based on partition temperature and heat exchange station pressure difference quality quantity dynamic adjustment method. The adjustment methods were ap- plied to the real time control of a complex central heating system at the university in the 2016 -2017 heating sea- sons. The operation results show that in order to meet the heating demand, in comparison with the 2015 -2016 heating seasons, 2016 -2017 heat consumption decreased by 22.9%, electricity consumption decreased by 33.6%, show that the proposed method is effective to optimize the operation regulation of energy saving, can pro- vide a reference for the complex central heating system.
作者
周璇
刘国强
闫军威
王晓佩
ZHOU Xuan;LIU Guoqiang;YAN Junwei;WANG Xiaopei(School of Mechanical and Automotive Engineering,South China University of Technology-,Guangzhou 510640,Gumlgdong;Guangzhou Yuan Zheng Intelligent Technology Co.,Ltd,Guangzhou 510000,Guangdong,China)
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2018年第4期75-84,共10页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金青年科学基金项目(51408233)
广东省科技计划项目(2016B090918105)
广东省自然科学基金资助项目(2017A030310162)~~
关键词
多建筑类型
集中供热系统
区域特征温度
节能优化运行
muhiple building types
central heating system
partition temperature
energy conservation optimiza-tion operation