基于单耗理论的抽汽耦合高背压供热优化

doi:10.11930/j.issn.1004-9649.201911007

中国电力 ›› 2019, Vol. 52 ›› Issue (12): 171-178.DOI: 10.11930/j.issn.1004-9649.201911007

基于单耗理论的抽汽耦合高背压供热优化

梁占伟^1,3, 杨承刚², 张磊¹, 徐亚涛¹, 孙鹏¹, 张俊杰¹, 王顺森³

1. 神华国华(北京)电力研究院有限公司, 北京 100024;
2. 生态环境部核与辐射安全中心, 北京 100082;
3. 西安交通大学能源与动力工程学院, 陕西西安 710049

收稿日期:2019-11-02 修回日期:2019-11-22 发布日期:2019-12-05
通讯作者: 杨承刚(1987-),男,通信作者,硕士,工程师,从事进口民用核安全设备技术审评及大型电站新型高效多联供技术研究,E-mail:yangchenggang007@126.com
作者简介:梁占伟(1983-),男,博士,工程师,从事电站设备状态监测、控制与运行优化研究,E-mail:liangzhanwei11@163.com
基金资助:
国家重点研发计划资助项目（工业锅炉节能与清洁燃烧技术，2017YFB0603904）

Optimization of Steam Extraction Combined High Back Pressure Heating Based on Specific Consumption Theory

LIANG Zhanwei^1,3, YANG Chenggang², ZHANG Lei¹, XU Yatao¹, SUN Peng¹, ZHANG Junjie¹, WANG Shunsen³

1. Shenhua Guohua (Beijing) Electric Research Institute Co., Ltd., Beijing 100024, China;
2. Nuclear and Radiation Safety Center, Beijing 100082, China;
3. School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China

Received:2019-11-02 Revised:2019-11-22 Published:2019-12-05
Supported by:
This work is supported by National Key R&D Program of China (Energy Saving and Clean Combustion Technology of Industrial Boiler, No.2017YFB0603904)

摘要/Abstract

摘要： 随着新型高效供热技术的广泛应用，多种供热技术耦合供热运行优化成为亟须研究的课题。基于自主研发的热力系统集成优化软件搭建了热电联产机组热力系统仿真模型，建立了基于㶲；分析法的单耗分析模型，研究了供热单耗和供电单耗随主蒸汽流量的变化特性，通过单耗分析得到了抽汽耦合高背压供热模式（模式一）和抽汽梯级利用耦合高背压供热模式（模式二）的最优运行工况。结果表明：模式二最优工况的供热单耗和供电单耗比模式一最优工况分别低1.6 kg/GJ和4.6 g/（kW·h）；模式一的供热能力较大，在次寒期可实现2台机组主蒸汽流量600~1 000 t/h范围供热。研究结果对抽汽耦合高背压供热运行优化具有一定的指导意义。

关键词: 热电联产, 能量梯级利用, 高背压, 单耗分析, 余热回收, 运行优化

Abstract: With the wide application of new and high efficiency heating technology, it is becoming urgent to study the operation optimization of various heating technology combined heating. The simulation model of thermal power system is set up by using self-developed thermal power integration scheme (TPIS) software, together with the specific consumption analysis model established on the basis of exergy analysis method. The characteristics of heating specific consumption and power supply specific consumption varying with the load were studied. Then the optimal operating conditions of steam extraction combined high back pressure heating (mode one) and extracting steam cascade utilization combined high back pressure heating (mode two) are obtained by means of specific consumption analysis. Results show that the heating specific consumption and power supply specific consumption of mode two under the optimal condition are 1.6 kg/GJ and 4.6 g/(kW·h) lower than those of mode one, respectively. Mode one demonstrates higher heating capacity, which can supply heat within the range of 600 t/h to 1 000 t/h for main steam flow during secondary cold period. The research outcome can provide certain guidance for the operation optimization of steam extraction combined high back pressure heating.

Key words: cogeneration, energy cascade utilization, high back pressure, specific consumption analysis, waste energy recovery, operation optimization

中图分类号:

TM621

梁占伟, 杨承刚, 张磊, 徐亚涛, 孙鹏, 张俊杰, 王顺森. 基于单耗理论的抽汽耦合高背压供热优化[J]. 中国电力, 2019, 52(12): 171-178.

LIANG Zhanwei, YANG Chenggang, ZHANG Lei, XU Yatao, SUN Peng, ZHANG Junjie, WANG Shunsen. Optimization of Steam Extraction Combined High Back Pressure Heating Based on Specific Consumption Theory[J]. Electric Power, 2019, 52(12): 171-178.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201911007

https://www.electricpower.com.cn/CN/Y2019/V52/I12/171

参考文献

[1] 王晋权, 蔡新春, 张国胜. 直接空冷热电联产机组供热优化分析[J]. 中国电力, 2015, 48(3):17-20 WANG Jinquan, CAI Xinchun, ZHANG Guosheng. Optimal analysis on heat supply of combined heat and power direct air-cooling units[J]. Electric Power, 2015, 48(3):17-20
[2] 王晋权, 李俊, 吕宏凯. 600 MW空冷供热机组主蒸汽压力寻优试验[J]. 中国电力, 2014, 47(4):48-51, 69 WANG Jinquan, LI Jun, LU Hongkai. Optimization tests on main steam pressure for 600 MW air-cooling heat supply units[J]. Electric Power, 2014, 47(4):48-51, 69
[3] 时斌, 王宁玲, 李晓恩, 等. 供水温度对高背压热电联产系统能耗水平的影响[J]. 化工进展, 2018, 37(1):96-104 SHI Bin, WANG Ningling, LI Xiao'en, et al. Impacts of water supply temperature on energy consumption of high back pressure cogeneration system[J]. Chemical Industry and Engineering Progress, 2018, 37(1):96-104
[4] 康艳昌, 郭金瑞, 满昌平, 等. 高背压串联抽汽供热机组多变量因素运行经济性研究分析[J]. 通信电源技术, 2018, 35(9):204-206 KANG Yanchang, GUO Jinrui, MAN Changping, et al. Study and analysis on the economic operation of high back pressure series steam extraction heating unit under variable condition[J]. Telecom Power Technology, 2018, 35(9):204-206
[5] 余耀. 空冷机组高背压供热与抽汽供热的热经济性比较[J]. 中国电力, 2016, 49(9):104-108, 113 YU Yao. Thermal economics comparison between high back pressure heating and extraction heating for a direct air-cooled power unit[J]. Electric Power, 2016, 49(9):104-108, 113
[6] 孙诗梦. 高背压梯级供热技术工程应用研究[D]. 北京:华北电力大学, 2017. SUN Shimeng. Research on engineering application of cascade heating technology with high back-pressure[D]. Beijing:North China Electric Power University, 2017.
[7] 杨志平, 时斌, 李晓恩, 等. 热负荷分配比例对抽凝-背压供热机组能耗影响[J]. 化工进展, 2018, 37(3):875-883 YANG Zhiping, SHI Bin, LI Xiao'en, et al. Impacts of heat load distribution ratio on energy consumption of extraction steam-high back pressure heating cogeneration unit[J]. Chemical Industry and Engineering Progress, 2018, 37(3):875-883
[8] 韩涛, 徐亚涛, 张磊, 等. 330 MW亚临界机组通流改造及供热抽汽系统优化研究[J]. 电站系统工程, 2017, 33(5):37-40, 43 HAN Tao, XU Yatao, ZHANG Lei, et al. Blade path retrofit and heat-supply system optimization of a 330 MW subcritical power unit[J]. Power System Engineering, 2017, 33(5):37-40, 43
[9] 张钦鹏. 双转子互换高背压循环水供热机组改造与跨区域双热网远距离供热优化运行研究[D]. 济南:山东大学, 2017. ZHANG Qinpeng. Design and operation of two units long distance series heat supply network based on double back pressure double rotor interchange technology[D]. Jinan:Shandong University, 2017.
[10] 徐则林, 姜燕妮, 徐磊, 等. 热电联产机组热能深度梯级利用的研究[J]. 华北电力大学学报(自然科学版), 2014, 41(5):107-112 XU Zelin, JIANG Yanni, XU Lei, et al. Research on thermal energy step utilization in cogeneration units[J]. Journal of North China Electric Power University (Natural Science Edition), 2014, 41(5):107-112
[11] KILIC M, KAYNAKLI O. Second law-based thermodynamic analysis of water-lithium bromide absorption refrigeration system[J]. Energy, 2007, 32(8):1505-1512.
[12] 王利刚, 杨勇平, 董长青, 等. 单耗分析理论的改进与初步应用[J]. 中国电机工程学报, 2012, 32(11):16-21 WANG Ligang, YANG Yongping, DONG Changqing, et al. Improvement and primary application of theory of fuel specific consumption[J]. Proceedings of the CSEE, 2012, 32(11):16-21
[13] 宋之平. 单耗分析的理论和实施[J]. 中国电机工程学报, 1992, 12(4):15-21 SONG Zhiping. Theory and application of fuel specific consumption[J]. Proceedings of the CSEE, 1992, 12(4):15-21
[14] 李沛峰, 戈志华, 银正一, 等. 供热系统能耗评价模型及应用[J]. 中国电机工程学报, 2013, 33(23):19-28 LI Peifeng, GE Zhihua, YIN Zhengyi, et al. Model for energy consumption of heating system and its application[J]. Proceedings of the CSEE, 2013, 33(23):19-28
[15] 刘辉, 张磊, 张俊杰, 等. 风-煤互补分布式能源系统热力学特性分析[J]. 热力发电, 2018, 47(11):35-39 LIU Hui, ZHANG Lei, ZHANG Junjie, et al. Thermodynamic analysis of distributed energy system integrated of wind and coal[J]. Thermal Power Generation, 2018, 47(11):35-39
[16] 戈志华, 孙诗梦, 万燕, 等. 大型汽轮机组高背压供热改造适用性分析[J]. 中国电机工程学报, 2017, 37(11):3216-3222 GE Zhihua, SUN Shimeng, WAN Yan, et al. Applicability analysis of high back-pressure heating retrofit for large-scale steam turbine unit[J]. Proceedings of the CSEE, 2017, 37(11):3216-3222
[17] 林振娴, 杨勇平, 何坚忍, 等. 供热系统串联布置方式的应用[J]. 中国电机工程学报, 2010, 30(35):13-17 LIN Zhenxian, YANG Yongping, HE Jianren, et al. Applied research on the serial distribution mode of heating system[J]. Proceedings of the CSEE, 2010, 30(35):13-17
[18] SONG Zhiping. Total energy system analysis of heating[J]. Energy, 2000, 25(9):807-822.
[19] 李沛峰, 杨勇平, 戈志华, 等. 300 MW热电联产供热系统分析与能耗计算[J]. 中国电机工程学报, 2012, 32(23):15-20 LI Peifeng, YANG Yongping, GE Zhihua, et al. Analysis and calculation on energy consumption of 300 MW CHP heating systems[J]. Proceedings of the CSEE, 2012, 32(23):15-20
[20] 安宁, 叶鹏, 关多娇, 等. 热电机组电热解耦应用研究综述[J]. 沈阳工程学院学报(自然科学版), 2019, 15(4):354-359 AN Ning, YE Peng, GUAN Duojiao, et al. Review of electric-thermal coupling for thermoelectric units[J]. Journal of Shenyang Institute of Engineering(Natural Science), 2019, 15(4):354-359
[21] 王敏. 基于相同供热工况对不同容量热电联产机组热经济性的影响研究[J]. 能源研究与利用, 2019(5):51-53
[22] 王玮, 孙阳, 井思桐. 热电联产机组热电转换与耦合特性分析[J]. 工程热物理学报, 2019, 40(9):1976-1980 WANG Wei, SUN Yang, JING Sitong. Analysis on the heat-power conversion and coupling characteristics of combined heat and power units[J]. Journal of Engineering Thermophysics, 2019, 40(9):1976-1980
[23] 雷昳,刘明真,林开敏. 基于协调负荷调度模型的蓄热采暖解耦方法[J]. 中国电力, 2019, 52(7):55-62, 131 LEI Yi, LIU Mingzhen, LIN Kaimin. Heat storage decoupling method based on coordinated load scheduling model[J]. Electric Power, 2019, 52(7):55-62, 131
[24] 徐金锋. 热电联产区域能源系统在美国的应用发展综述[J]. 区域供热, 2019(3):45-52
[25] 张琨. 燃气热电联产系统的热电协同方案研究[J]. 哈尔滨:哈尔滨工业大学, 2019 ZHANG Kun. Research on thermoelectric coordination scheme of gas cogeneration system[J]. Harbin:Harbin Institute of Technology, 2019
[26] 徐进. 热电联产机组在平峰转供模式下的经济性分析[J]. 电力科学与工程, 2018, 34(5):75-78 XU Jin. Economic analysis on heating supply of cogeneration units with peak-load shifting[J]. Electric Power Science and Engineering, 2018, 34(5):75-78

基于单耗理论的抽汽耦合高背压供热优化

Optimization of Steam Extraction Combined High Back Pressure Heating Based on Specific Consumption Theory

RichHTML

PDF (PC)

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

[1]	齐国民, 李天野, 于洪, 卢博伦, 马宝中, 张文欣, 吴恩同, 肖先瑶. 基于MPC的户用光-储系统容量配置及运行优化模型[J]. 中国电力, 2025, 58(1): 185-195.
[2]	王云龙, 韩璐, 罗树林, 吴涛. 集成电动汽车的家庭电热综合能源系统负荷调度优化[J]. 中国电力, 2024, 57(5): 39-49.
[3]	梁健, 王蒙, 杨亚欣, 胡杨, 姚尔人. 基于压缩空气储能与增强型地热的三联产系统热力学分析[J]. 中国电力, 2024, 57(1): 209-218.
[4]	徐晶, 赵亮, 张梁, 钱广超, 马驰远, 宋关羽, 李鹏. 考虑移动储能接入的柔性配电网运行优化策略[J]. 中国电力, 2023, 56(9): 112-119.
[5]	侯建军, 付喜亮, 李染生, 刘贵喜, 孙燕平, 孙利, 梁占伟. 基于㶲分析的能量梯级利用供热变工况运行优化研究[J]. 中国电力, 2023, 56(8): 230-240.
[6]	王瑞琪, 王新立, 郭光华, 张宇航, 周海妮, 周琪. 农村光-氢-沼储能综合能源系统建模与鲁棒优化调度[J]. 中国电力, 2023, 56(5): 89-98.
[7]	郭宴秀, 苏建军, 刘洋, 袁霜晨. 考虑电热交互和共享储能的多综合能源系统运行优化[J]. 中国电力, 2023, 56(4): 138-145.
[8]	任鑫, 王渡, 金亚飞, 王志刚. 基于能耗、经济性及碳排放的热电联产机组运行优化[J]. 中国电力, 2023, 56(4): 201-210.
[9]	孙强, 孙志凰, 潘杭萍, 陈杰军, 朱婵霞, 陈倩, 周佳伟. 考虑多种储能的数据中心综合能源系统配置优化[J]. 中国电力, 2022, 55(9): 1-7.
[10]	张黎明, 李浩, 吴亚雄, 高崇, 张俊潇, 刘涌. 基于运行优化的含储能电力系统可靠性评估方法[J]. 中国电力, 2022, 55(9): 23-28.
[11]	乔加飞, 梁占伟, 张磊, 王顺森. 基于热能深度梯级利用的耦合供热变工况研究[J]. 中国电力, 2022, 55(9): 204-212.
[12]	刘赫川, 周孝信, 杨小煜, 李亚楼, 李雄. 考虑天然气季节性存储的综合能源系统年度运行方式研究[J]. 中国电力, 2022, 55(4): 145-155.
[13]	张国柱, 张钧泰, 文钰, 杨凯旋, 刘明, 刘继平. 燃煤机组烟气余热及水回收系统变工况特性和调控策略[J]. 中国电力, 2022, 55(4): 214-220.
[14]	潘晓伟, 彭烁, 李硕, 周贤, 王长军, 刘峻, 王瑞元. 余热锅炉烟气低温余热回收塔流场均匀性研究[J]. 中国电力, 2022, 55(3): 159-166.
[15]	文贤馗, 李翔, 邓彤天, 钟晶亮, 王锁斌, 刘石. 先进压缩空气储能系统的余热回收和利用[J]. 中国电力, 2022, 55(2): 28-34.

模态框（Modal）标题

基于单耗理论的抽汽耦合高背压供热优化

Optimization of Steam Extraction Combined High Back Pressure Heating Based on Specific Consumption Theory

RichHTML

PDF (PC)

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