供热系统可靠性评价研究综述

doi:10.16265/j.cnki.issn1003-3033.2017.12.009

中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (12): 49-55.doi: 10.16265/j.cnki.issn1003-3033.2017.12.009

供热系统可靠性评价研究综述

曹姗姗¹, 王芃^**1 副教授, 单晓芳², 姚杨¹ 教授

¹哈尔滨工业大学建筑学院,黑龙江哈尔滨 150090
²香港城市大学建筑与土木工程学院,香港 999077

收稿日期:2017-09-04 修回日期:2017-11-20 出版日期:2017-12-28 发布日期:2020-10-10
通讯作者: ** 王芃(1981—),男,安徽合肥人,博士,副教授,硕士生导师,主要从事供热系统仿真、运行和可靠性研究。E-mail: cahnburg@126.com。
作者简介:曹姗姗 (1986—),女,山东东营人,博士研究生,研究方向为供热系统仿真和可靠性。E-mail: css_2005@126.com。
基金资助:
国家自然科学基金资助(51508139);哈尔滨工业大学科研创新基金资助(HIT.NSRIF.2017058)

A review of progress in reliability evaluation on district heating system

CAO Shanshan¹, WANG Peng¹, SHAN Xiaofang², YAO Yang¹

¹School of Architecture, Harbin Institute of Technology, Harbin Heilongjiang 150090,China
²School of Architecture & Civil Engineering, City University of Hong Kong, Hong Kong 999077, China

Received:2017-09-04 Revised:2017-11-20 Online:2017-12-28 Published:2020-10-10

摘要/Abstract

摘要： 为了解供热系统可靠性评价的研究进展并探明其发展前景,应用Google Scholar系统调研该领域的相关文献。梳理供热系统故障工况功能特征、故障状态判定准则、可靠性评价指标等方面的研究成果;将多样化发展的可靠性评价方法归纳为基于故障工况结构特征、水力特征和热力特征3类方法,总结其要点与不足,并提出供热系统可靠性评价的研究重点。研究表明:基于故障工况热力特征的供热系统可靠性评价方法是今后的研究重点;综合考虑故障工况热用户连通性、水力特征、供热管网和供暖建筑物的热惰性的模型的精度和计算复杂度是亟待解决的问题;需要开展供热系统多重和次生故障的研究。

关键词: 供热系统, 可靠性, 评价指标, 故障工况, 功能特征

Abstract: To have a general overview of progress in researches on district heating reliability evaluation and predict the trends in the researches, a systematic and thorough literature review was carried out through Google Scholar. From the perspective of functional characteristics under failure condition, failure state judgment criterion and evaluation index, the advances in researches on district heating reliability evaluation were summarized. The research contents and limitations of 3 evaluation methods, considering structural characteristics, hydraulic characteristics and thermodynamic characteristics under failure condition respectively, were furthermore discussed and analyzed. Finally, the trends in the researches on district heating reliability evaluation were presented. Research results show that the evaluation method considering thermodynamic characteristics under failure condition will be the focal point of the research in the days to come, that improving the accuracy of the model taking into account integrating connectivity of heat users, hydraulic characteristics and thermal inertia of heating network and buildings and the reducing the computational complexity are the problems to be solved, and that the effects of both the multiple failures and the secondary failures on the district heating system need to be studied.

Key words: district heating system, reliability, evaluation index, failure condition, functional characteristics

中图分类号:

X913.4

曹姗姗, 王芃, 单晓芳, 姚杨. 供热系统可靠性评价研究综述[J]. 中国安全科学学报, 2017, 27(12): 49-55.

CAO Shanshan, WANG Peng, SHAN Xiaofang, YAO Yang. A review of progress in reliability evaluation on district heating system[J]. China Safety Science Journal, 2017, 27(12): 49-55.

参考文献

[1] 中华人民共和国国家统计局. 2015年供热统计数据 [EB]. [2017-02-05].http://data.stats.gov.cn/easyquery.htm?cn=C01&zb=A0B05&sj=2015.
[2] 邹平华, 雷翠红, 王威, 等. 黑龙江省热网故障调研与分析[J]. 区域供热, 2008 (5): 15-20.
ZOU Pinghua, LEI Cuihong, WANG Wei, et al. Investigation and analysis of heating network failure in Heilongjiang province [J]. District Heating, 2008 (5): 15-20.
[3] 中国城镇供热协会. 统计数据[EB]. [2017-07-11]. http://www.china-heating.org.cn/.
[4] ИонинA A[俄].Надежность тепловых сетей[M]. Москва: Стройиздат, 1989: 10-50.
IONIN A A. Reliability of heat network system[M]. Moscow: Strojizdat, 1989: 10-50.
[5] 邹平华. 前苏联和俄罗斯供热可靠性的研究历程及主要研究内容[J]. 暖通空调, 2014 (3): 1-9.
ZOU Pinghua. Process and main contents of the research on reliability of heating system in the former Soviet Union and Russia[J]. Heating Ventilating & Air Conditioning, 2014 (3): 1-9.
[6] 候云娟, 钱新明, 冯长根, 等. 基于风险的化工园区供热优化方法研究及其系统实现[J]. 中国安全科学学报, 2014, 24(6): 159-164.
HOU Yunjuan, QIAN Xinming, FENG Changgen, et al. Optimization research on heating engineering in chemical industry park based on risk assessment and its system implementation[J]. China Safety Science Journal, 2014, 24(6): 159-164.
[7] СНИП 41-02-2003, Тепловые сети [S].
СНИП 41-02-2003, Heating network[S].
[8] 刘文, 陈苗娜, 吉旭. 化工系统设备运行可靠性的综合评价模型研究[J]. 中国安全科学学报, 2015, 25(1): 139-144.
LIU Wen, CHEN Miaona, JI Xu. Research on comprehensive evaluation model for chemical equipment operation reliability[J]. China Safety Science Journal, 2015, 25(1): 139-144.
[9] 蔡启林, 刘施玲. 供热系统的可靠性综合评价指标探讨[J]. 煤气与热力, 1993,13 (3): 46-51.
CAI Qilin, LIU Shiling. Discussion on comprehensive evaluation index of reliability of heating system[J]. Gas & Heat, 1993, 13(3): 46-51.
[10] 战泰文, 邹平华. 供热系统可靠性年评价指标的探讨[J]. 煤气与热力, 1998, 18(6): 49-51.
ZHAN Taiwen, ZOU Pinghua. Discussion on reliability evaluation index of heating system[J]. Gas & Heat, 1998, 18(6): 49-51.
[11] CROSS H. Analysis of flow in networks of conduits or conductors[R]. University of Illinois at Urbana Champaign, College of Engineering. Engineering Experiment Station, 1936.
[12] STEVANOVIC V D, PRICA S, MASLOVARIC B, et al. Efficient numerical method for district heating system hydraulics[J]. Energy Conversion and Management, 2007, 48(5): 1 536-1 543.
[13] HASSINE I B, EICKER U. Impact of load structure variation and solar thermal energy integration on an existing district heating network[J]. Applied Thermal Engineering, 2013, 50(2): 1 437-1 446.
[14] GUELPA E, TORO C, SCIACOVELLI A, et al. Optimal operation of large district heating networks through fast fluid-dynamic simulation[J]. Energy, 2016, 102: 586-595.
[15] 王晓霞, 赵立华, 邹平华. 多热源环状热网故障工况拓扑重构方法研究[J]. 暖通空调, 2014, 44 (9): 85-90.
WANG Xiaoxia, ZHAO Lihua, ZOU Pinghua. Reconstruction method of topology structure of multi-heat source ring-shaped heat-supply network under fault conditions[J]. Heating Ventilating & Air Conditioning, 2014, 44 (9): 85-90.
[16] 王芃. 基于图论的供热系统可靠性研究[D]. 哈尔滨: 哈尔滨工业大学, 2010.
WANG Peng. Reliability of district heating system based on graph theory[D]. Harbin: Harbin Institute of Technology, 2010.
[17] 秦绪忠, 江亿. 集中供热网的可及性分析[J]. 暖通空调, 1999, 29(1): 2-7.
QIN Xuzhong, JIANG Yi. Accessibility analysis of district heating networks[J]. Heating Ventilating & Air Conditioning, 1999, 29(1): 2-7.
[18] QIN Xuzhong, JIANG Yi, ZHU Yingxin. Optimization of hydraulic conditions in district heating networks[J].Transactions-ASHRAE, 2001, 107(1): 270-274.
[19] WANG Xiaoxia, LIU Mengjun, ZOU Pinghua. Reliability assessment method of complicated heat-supply network based on failure effect analysis[C]. Proceedings of 5^th International Decentralized Energy and Combined Heat & Power Conference, 2004: 436-443.
[20] 王芃. 集中供暖系统动态仿真与优化调节[D]. 哈尔滨: 哈尔滨工业大学, 2006.
WANG Peng. Dynamic simulation and optimal regulation of centralized space-heating system [D]. Harbin: Harbin Institute of Technology, 2006.
[21] 张华杉. 热网故障流分析与建筑物蓄热能力对可靠性影响的研究[D]. 哈尔滨: 哈尔滨工业大学, 2003.
ZHANG Huashan. Study on the effect of heating network failure rate and building thermal storage capacity on reliability [D]. Harbin: Harbin Institute of Technology, 2003.
[22] 任先超. 建筑房间事故工况下冷却过程的研究[D]. 哈尔滨: 哈尔滨工业大学, 2006.
REN Xianchao. The study on cooling building in damage accident[D]. Harbin: Harbin Institute of Technology, 2006.
[23] PUPEIKIS D, BURLINGIS A, STANKEVICˇIUS V. Required additional heating power of building during intermitted heating[J]. Journal of Civil Engineering and Management, 2010, 16(1): 141-148.
[24] LAUENBURG P, JOHANSSON P O, WOLLERSTRAND J. District heating in case of power failure[J]. Applied Energy, 2010, 87(4): 1 176-1 186.
[25] JOHANSSON C. Towards intelligent district heating[D]. Karlskrona, Sweden: Blekinge Institute of Technology, 2010.
[26] DUQUETTE J, ROWE A, WILD P. Thermal performance of a steady state physical pipe model for simulating district heating grids with variable flow[J]. Applied Energy, 2016, 178: 383-393.
[27] MYREFELT S. Functional availability of HVAC systems[J]. International Journal of Ventilation, 2008, 7(1): 89-98.
[28] STENNIKOV V A, IAKIMETC E E. Optimal planning of heat supply systems in urban areas[J]. Energy, 2016, 110: 157-165.
[29] CAO Shanshan, WANG Peng, WANG Wei, et al. Reliability evaluation of existing district heating networks based on a building's realistic heat gain under failure condition[J]. Science and Technology for the Built Environment, 2017, 23(3): 522-531.
[30] SHAN Xiaofang, WANG Peng, LU Weizhen. The reliability and availability evaluation of repairable district heating networks under changeable external conditions[J]. Applied Energy, 2017, 203: 686-695.

供热系统可靠性评价研究综述

A review of progress in reliability evaluation on district heating system

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	罗振敏, 王登飞, 丁旭涵. 抑尘剂效果评价指标准确性分析^*[J]. 中国安全科学学报, 2022, 32(1): 195-200.
[2]	杨三军, 荆亚茹, 姜润发. 矿山救援队应急救援能力评价指标体系构建^*[J]. 中国安全科学学报, 2021, 31(8): 180-188.
[3]	姜福川, 周师, 吴增彤, 钟基超, 张书豪, 张雪芳. 基于熵权-TOPSIS法的煤矿安全投入决策分析^*[J]. 中国安全科学学报, 2021, 31(7): 24-29.
[4]	刘玉珍, 杨瑞刚, 赵广立, 景玮宸, 马晓星. 基于PHI2的桥式起重机结构时变可靠性分析[J]. 中国安全科学学报, 2021, 31(7): 130-136.
[5]	马润, 仇维斌 , 秦云, 欧红香. 模糊区间TOPSIS动车组塞拉门故障风险评估[J]. 中国安全科学学报, 2021, 31(4): 177-183.
[6]	张振江, 张玉召, 王小荣. 铁路快捷货运网络鲁棒性分析[J]. 中国安全科学学报, 2020, 30(3): 150-156.
[7]	邹树梁, 黄斌海, 李书帆. 海上浮动核电站人员认知可靠性模型[J]. 中国安全科学学报, 2020, 30(1): 1-6.
[8]	刘明, 郑亚明, 多依丽, 赵超. 风载荷作用下立式低温储罐动力可靠性分析[J]. 中国安全科学学报, 2020, 30(1): 48-52.
[9]	谢安娜, 尹盼盼, 王志远. 基于SEM的铁路客运安全影响因素分析^*[J]. 中国安全科学学报, 2019, 29(S2): 30-34.
[10]	林帅, 方晓春, 林飞, 杨中平. 基于任务剖面的牵引逆变器IGBT寿命预测^*[J]. 中国安全科学学报, 2019, 29(S1): 52-57.
[11]	刘文, 刘文黎, 翟世鸿. 基于Copula相依模型的地铁结构安全可靠性分析[J]. 中国安全科学学报, 2019, 29(8): 164-171.
[12]	傅惠民, 隗依岸, 文歆磊. 聚合物基复合材料老化曲线快速测试方法[J]. 中国安全科学学报, 2019, 29(6): 104-108.
[13]	王亚风, 黄勇. 基于动态可靠性评价的区域铁路网规划优化:以成渝城市群为例[J]. 中国安全科学学报, 2019, 29(5): 97-104.
[14]	张亚, 张明广, 钱城江, 赵瑶. 基于SD的HEP仿真建模分析[J]. 中国安全科学学报, 2019, 29(3): 89-94.
[15]	李俊捷, 姚欣怡, 陈钉均, 倪少权. 跨区域综合交通应急救援预案评估指标选取^*[J]. 中国安全科学学报, 2018, 28(S2): 185-190.