基于建筑综合物性系数的换热站运行调节策略分析

doi:10.3969/j.issn.1674-1951.2021.12.011

华电技术 ›› 2021, Vol. 43 ›› Issue (12): 72-78.doi: 10.3969/j.issn.1674-1951.2021.12.011

基于建筑综合物性系数的换热站运行调节策略分析

郑刚¹, 李金刚², 刘依婷³^,^*()

1.国能宁夏供热有限公司,银川 750001
2.华电内蒙古能源有限公司卓资发电分公司内蒙古乌兰察布 012300
3.河北工业大学能源与环境工程学院,天津 300401

收稿日期:2021-09-30 修回日期:2021-11-08 出版日期:2021-12-25 发布日期:2021-12-10
通讯作者: 刘依婷
作者简介:郑刚（1966—）,男,山东日照人,工程师,从事供热公司的管理工作。
李金刚（1970—）,男,山西朔州人,工程师,从事供热公司生产管理工作。
基金资助:
河北省重大科技成果转化专项(20284501Z)

Analysis on operation regulation strategy for heat exchange stations based on building comprehensive physical property coefficients

ZHENG Gang¹, LI Jingang², LIU Yiting³^,^*()

1. Guoneng Ningxia Heating Company Limited,Yinchuan 750001,China
2. Zhuozi Power Generation Branch of Huadian Inner Mongolia Energy Company Limited,Ulanqab 012300,China
3. School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401,China

Received:2021-09-30 Revised:2021-11-08 Online:2021-12-25 Published:2021-12-10
Contact: LIU Yiting

摘要/Abstract

摘要：

集中供热系统的热力管网及换热站运行调节策略是实现整个系统优化运行的关键。将如何根据建筑热特性、室内温度以及室外气象参数的变化制定科学合理、简单易行的运行调节策略设为研究目标。根据热平衡理论,即散热设备的散热量与建筑耗热量近似,定义出建筑综合物性系数B_C。在计算出换热站B_C的基础上,提出补偿周期（T_b）的概念,利用B_C结合建筑延迟时间以及供热系统T_b,提出了一种基于B_C的热网运行调控策略。将提出的调控策略应用到某寒冷地区智慧供热系统中2个典型换热站的运行中,结果显示应用建筑综合物性系数指导供热系统运行调节取代了以往的盲目供热和经验供热,提高供热精准度同时能够达到很好的节能效果。

关键词: 智能热网, 建筑综合物性系数, 运行调节策略, 建筑延迟时间, 供热系统补偿周期, 智慧供热

Abstract:

The operation regulation strategy of heating pipe networks and heat exchange stations in central heating systems is the key to optimize the operation of the whole system. Formulating a scientific, reasonable and simple regulation strategy for the system according to the thermal characteristics, indoor temperature and outdoor meteorological parameters of buildings is the research goal. According to the heat balance theory, heat dissipation of radiating equipment is approximately equal to the heat consumption by buildings, the comprehensive physical property coefficient of buildings （B_C） is defined. Based on the calculation results of B_C value of a heat exchange station, the concept of "compensation period" is proposed. Using the B_C, time lags and compensation period of the heating system, a heat network operation control strategy based on the B_C is proposed. The proposed regulation strategy for the intelligent heating system has been applied in two typical heat exchange stations in a cold area. The results show that replacing the conventional aimless operation regulation for heating systems by B_C-based operation regulation can improve the heating accuracy and energy-saving effect.

Key words: intelligent heat network, comprehensive physical property coefficient of buildings, operation regulation strategy, construction delay time, compensation period of heating system, intelligent heat supply

中图分类号:

TM732

郑刚, 李金刚, 刘依婷. 基于建筑综合物性系数的换热站运行调节策略分析[J]. 华电技术, 2021, 43(12): 72-78.

ZHENG Gang, LI Jingang, LIU Yiting. Analysis on operation regulation strategy for heat exchange stations based on building comprehensive physical property coefficients[J]. Huadian Technology, 2021, 43(12): 72-78.

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参考文献 17

[1]	邱海平. 智慧热网推动供热企业实现节能减排[J]. 节能与环保, 2017(10):64-66.
[2]	王秋惠, 孙立国, 李佳雯. 基于相变储能的建筑光伏系统储能优化配置研究[J]. 华电技术, 2021, 43(9):54-61.
	WANG Qiuhui, SUN Liguo, LI Jiawen. Optimized configuration of energy storage devices of building photovoltaic system with phase-change energy storage[J]. Huadian Technology, 2021, 43(9):54-61.
[3]	韩钊, 袁建娟, 孙春华, 等. 基于信息化的智慧热网系统应用分析[J]. 区域供热, 2018(2):24-30.
[4]	BI Q, LV X, Li D, et al. Research on deep peak-shaving capacity of large heating units based on heat storage network and building thermal storage characteristics[J]. Turbine Technology, 2014, 56(2):141-144.
[5]	彦启森, 赵庆珠. 建筑热过程[M]. 北京: 中国建筑工业出版社, 1986.
[6]	李田凯. 基于室内温度的热力站智能调控方式探究[J]. 区域供热, 2020(1):34-37.
[7]	宋士杰, 李鹤, 孙刚. 集中供热运行调节曲线在实际工程中的应用[J]. 区域供热, 2020(2):27-31.
[8]	DAHL M, BRUN A, ANDRESEN G B. Using ensemble weather predictions in district heating operation and load forecast[J]. Applied Energy, 2017, 193(1):455-465. doi: 10.1016/j.apenergy.2017.02.066
[9]	XUE P N, JIANG Y, ZHOU Z G, et al. Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms[J]. Energy, 2019, 188:116085. doi: 10.1016/j.energy.2019.116085
[10]	DONG B, LAM K P. A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting[J]. Building Simulation, 2014, 7(1):89-106. doi: 10.1007/s12273-013-0142-7
[11]	AOUN N, BAVIERE R, VALLEE M, et al. Modelling and flexible predictive control of buildings space-heating demand in district heating systems[J]. Energy, 2019, 188：116042.1-116042.17.
[12]	贺平, 孙刚. 供热工程（新1版）[M]. 北京: 中国建筑工业出版社, 1993.
[13]	迟进华, 张荣华. 区域供热系统供水温度的集中调节[J]. 工业锅炉, 2009(4):36-39.
[14]	剡婧婧, 刘兰斌, 涂壤. 供暖期空置住宅停暖对建筑室温及能耗的影响[J]. 建筑科学, 2019, 35(8):125-130.
[15]	居住建筑节能设计标准: DB 13(J)185—2020[S].
[16]	索源志. 住宅建筑热惰性与供热负荷特性研究[D]. 北京: 北京建筑大学, 2018.
[17]	郭海娇. 大型集中供热系统换热站运行调节策略研究[D]. 天津:河北工业大学, 2013.

基于建筑综合物性系数的换热站运行调节策略分析

Analysis on operation regulation strategy for heat exchange stations based on building comprehensive physical property coefficients

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