In view of the current situation of backpressure extraction steam turbine (BEST) regenerative system design for advanced ultra-supercritical coal-fired units
the influence of BEST on energy consumption of 700℃ coal-fired units with single and double reheat system was compared and analyzed. Based on parameter matching and system optimization method of steam turbine flow and regenerative system
the idea of optimizing regenerative system from the system perspective was put forward. The results show that the coal consumption of 700℃ double reheat coal-fired units with BEST is lower than that of single reheat units
and the coal saving advantage is more obvious at low load. The coal saving is 11.7g/(kW·h) at 40% load. 700℃ double reheat units with BEST is more economical for peak adjustment than single reheat units
and 700℃ single reheat units with BEST is more suitable for high load operation units. With the reduction of load
the extraction superheat of 700℃ double reheat units with BEST increases continuously
therefore
the extraction position of BEST can be adjusted backward to match the minimum coal consumption. In addition
a method of matching the extraction parameters of the regenerative system with the flow parameters of the steam turbine was proposed to optimize the whole system of the units. Based on this method
the BEST can be cancelled
but the load distribution and flow design of the three cylinders of the steam turbine need to be redesigned.
HU A G. China's goal of achieving carbon peak by 2030 and its main approaches[J]. Journal of Beijing University of Technology (Social Sciences Edition), 2021, 21(3): 1-8.
Global Energy Internet Development Cooperation Organization. China's carbon peak research report before 2030[EB/OL ] . (2021-03-18)[2021-05-01 ] . https://max.book118.com/html/2021/0319/7200106100003101.shtm https://max.book118.com/html/2021/0319/7200106100003101.shtm .
LONG H, HUANG J J. Development direction analysis of coal-fired power units' design technology during the 13th Five-Year Plan[J]. Power Generation Technology, 2018, 39(1): 13-17.
WANG L, WU G, ZHANG Y F, et al. Thermodynamic system optimization research on 1000MW deep peak-regulating unit[J]. Power Generation Technology, 2019, 40(3): 265-269.
LIU R W, XIAO P, ZHONG L, et al. Research progress of advanced 700℃ ultra-supercritical coal-fired power generation technology[J]. Thermal Power Generation, 2017, 46(9): 1-7.
DUAN L Q, SUN J, WANG Z. Performance comparison of thermal energy utilization schemes of the extractions superheating degree for a double reheat coal-fired power plant[J]. Journal of Engineering Thermophysics, 2019, 40(12): 2757-2762.
DUAN L Q, SUN J. Design optimization of ultra-supercritical reheating coal-fired power plant integrated with regenerative steam turbine[J]. Journal of North China Electric Power University, 2019, 46(3): 80-89.
DENG P, WANG Y J. Feasibility analysis on BEST technology for ultra supercritical units with double-reheat cycle[J]. Electric Power, 2018, 51(7): 84-89.
LI Y Y, ZHOU L Y, XU G, et al. Thermodynamic analysis and optimization of a double reheat system in an ultra-supercritical power plant[J]. Energy, 2014, 74: 202-214.
XU G, ZHOU L Y, ZHAO S F, et al. Optimum superheat utilization of extraction steam in double reheat ultra-supercritical power plants[J]. Applied Energy, 2015(160): 863-872.
ZHOU Y L, YANG M, WANG D. Optimization of 1000MW high ultra-supercritical double-reheat system[J]. Proceedings of the CSEE, 2018, 38(S1): 137-141.
YANG M, ZHOU Y L, WANG D, et al. Thermodynamic cycle analysis and optimization to improve efficiency in a 700℃ ultra-supercritical double reheat system[J]. Journal of Thermal Analysis and Calorimetry, 2020, 141: 83-94.
SHUI Y H, LIU Q, ZHANG L, et al. Parametric optimization of a regenerative system for a 650℃ ultra-supercritical steam turbine[J]. Journal of Engineering Thermophysics, 2020, 41(1): 89-94.
LIN X L, LI Q L, WANG L K, et al. Thermo-economic analysis of typical thermal systems and corresponding novel system for a 1000 MW double reheat ultra-supercritical thermal power plant[J]. Energy, 2020, 201: 117560.
YANG H, YU Y, FAN S W, et al. Application and analysis of echelon cycle in ultra supercritical 1000MW unit[J]. Thermal Power Generation, 2019, 48(12): 129-133.
WANGJ, DUAN L Q, YANG J F, etc. Energy saving optimization study on regenerative system of 700℃ coal-fired power generation system with single reheat system[C]//China Engineering Thermophysics Conference, Shanghai, 2020.
YANG J F, ZHANG Z X, HAN D J, et al. New supercritical parameter coal-fired power generation system structure design technology[J]. Power Generation Technology, 2019, 40(6): 555-563.
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 Z P. Consumption rate analysis: theory and practice[J]. Proceedings of the CSEE, 1992, 12(4): 15-21.
DIAO M L, TANG C L, ZHU X, et al. Thermo-economic and techno-economic analysis on an ultra-supercritical unit with double-reheat cycle[J]. Thermal Power Generation, 2017, 46(8): 23-29.
林万超. 火电厂热系统节能理论[M]. 西安: 西安交通大学出版社, 1994: 191-203.
LIN W C. Energy-saving theory of thermal power plant thermal system[M]. Xi'an: Xi'an Jiaotong University Press, 1994: 191-203.
YAN J J, SHAO S F, LI Y, et al. A method for analysis the economics of a thermal system in a supercritical pressure power unit with double reheat cycles[J]. Proceedings of the CSEE, 2004, 24(1): 196-190.
SHAO S F, YAN J J, LIU J P, et al. Thermo-economics analysis method of thermal system for power unit with double reheat[J]. Journal of Xi'an Jiaotong University, 2003, 37(11): 1137-1141.
Calculation of Heat Transfer Performance of Steam Turbine Shaft Sealing Heater
Experimental Study on Regulation Characteristics of Intermediate Pressure Cylinder Regulating Valves of Heat Supply Steam Turbine Under Peak Regulating Mechanism
Research on Aerodynamic and Strength Performance of Last Stage in High-Pressure Cylinder of Steam Turbine Under Variable Working Conditions
Overview on the Current Situation of Steam Turbine Low-Pressure Cylinder Zero-Output Technology Under Background of Power Grid Peak Regulation
Flutter Prediction Method for Long Blade of Steam Turbine
Related Author
LUO Jianchao
FU Jinglun
BAI Linchao
HE Yaonian
CUI Yongjun
PENG Shuxuan
LIANG Yanfang
ZHANG Yuanshu
Related Institution
Nanjing Institute of Future Energy System
School of Energy and Mechanical Engineering, Nanjing Normal University
Huaneng Beijing Thermal Power Co., Ltd., Chaoyang District
Institute of Engineering Thermophysics, Chinese Academy of Sciences, Haidian District
University of Chinese Academy of Sciences, Haidian District