Hundred-megawatt molten salt heat storage system for deep peak shaving of thermal power plant

doi:10.19799/j.cnki.2095-4239.2021.0230

Abstract

Abstract:

To increase the flexibility of the power system and the consumption of energy, a 100 MW molten-salt heat storage system is proposed herein. The molten-salt heat storage system with a large capacity and high temperature was embedded between the boiler and turbine in a thermal power system of a thermal power unit to decouple thermal and electric energy. The 100 MW molten-salt heat storage system could enable the turbine to operate at the lowest output while ensuring the safe operation of the boiler without stopping it, thereby greatly increasing the deep peak-shaving capacity of the thermal power unit. To ensure the safety of the boiler and the manufacturing ability of the salt-water heat exchanger, the heat storage system is designed with high main steam pressure and high subcooled high-pressure water temperature. It can effectively increase the temperature of the hot molten salt and reduce the amount of molten salt, reducing the initial investment capital of molten-salt energy storage systems. The theoretical calculation of each module of the 100 MW molten-salt heat storage technology shows that the comprehensive storage efficiency of the system is as high as 77.8%; thus, it has broad application prospects in large-scale energy storage.

Key words: energy storage, high temperature heat storage, deep peak shaving, molten salt

CLC Number:

TK 11

Hui WANG, Jun LI, Peiwang ZHU, Jian WANG, Chunlin ZHANG. Hundred-megawatt molten salt heat storage system for deep peak shaving of thermal power plant[J]. Energy Storage Science and Technology, 2021, 10(5): 1760-1767.

Figures/Tables 7

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Table 1

References 15

1	裴哲义, 范高锋, 秦晓辉. 我国电力系统对大规模储能的需求分析[J]. 储能科学与技术, 2020, 9(5): 1562-1565.
	PEI Z Y, FAN G F, QIN X H. Demand analysis of large scale energy storage in China's power system[J]. Energy Storage Science and Technology, 2020, 9(5): 1562-1565.
2	张梦凡. 可中断负荷的成本效益分析及考虑不确定需求响应的优化调度方法[D]. 杭州: 浙江大学, 2018.
	ZHANG M F. Cost-benefit analysis of interruptible load and optimal scheduling method considering demand response with uncertainty[D]. Hangzhou: Zhejiang University, 2018.
3	中国电力企业联合会. 煤电机组灵活性运行政策研究[R]. 中电联理事会办公厅, 2019.
	China Electricity Council. Study on flexible operation policy of coal-fired power units[R]. General Office of China Electricity Council, 2019.
4	裴顺, 杨桂. 燃煤机组低负荷工况下安全稳定运行研究[J]. 南方能源建设, 2018, 5(z1): 19-24.
	PEI S, YANG G. Research on safe and stable operation under lower load condition for coal-fired power plant[J]. Southern Energy Construction, 2018, 5(z1): 19-24.
5	张也. 大规模风电并网背景下火电调峰行为演化博弈模型研究[D]. 北京: 华北电力大学, 2017.
	ZHANG Y. Evolutionary game theory on thermal power peaking under large scale of wind power integration[D]. Beijing: North China Electric Power University, 2017.
6	高春辉, 肖冰, 尹宏学, 等. 新能源背景下储能参与火电调峰及配置方式综述[J]. 热力发电, 2019, 48(10): 38-43.
	GAO C H, XIAO B, YIN H X, et al. Energy storage participating in thermal power peaking and configuration in background of new energy: A review[J]. Thermal Power Generation, 2019, 48(10): 38-43.
7	凌浩恕, 何京东, 徐玉杰, 等. 清洁供暖储热技术现状与趋势[J]. 储能科学与技术, 2020, 9(3): 861-868.
	LING H S, HE J D, XU Y J, et al. Status and prospect of thermal energy storage technology for clean heating[J]. Energy Storage Science and Technology, 2020, 9(3): 861-868.
8	范庆伟, 居文平, 黄嘉驷, 等. 基于储热过程的工业供汽机组热电解耦研究[J]. 汽轮机技术, 2019, 61(3): 221-223, 188.
	FAN Q W, JU W P, HUANG J S, et al. Research on decoupling of heat and power of industrial steam supply unit based on heat storage process[J]. Turbine Technology, 2019, 61(3): 221-223, 188.
9	鹿院卫, 魏海姣, 张灿灿, 等. 一种火电厂深度调峰装置: CN210197259U[P]. [2020-03-27].
	LU Y W, WEI H J, ZHANG C C, et al. Deep peak shaving device for thermal power plant: CN210197259U[P]. [2020-03-27].
10	时正海, 茹宇, 高洪培, 等. 一种锅炉高温烟气熔盐储热装置及其工作方法: CN111365710A[P]. [2020-07-03].
	SHI Z H, RU Y, GAO H P, et al. A molten salt heat storage device and its operation method through Boiler high-temperature flue gas: CN111365710A[P]. [2020-07-03].
11	羽南峧. 塔式太阳能光热发电中吸热管内高温熔盐传热特性数值研究[D]. 西安: 西安理工大学, 2019.
	YU N J. Numerical study on heat transfer characteristics of high temperature molten salt in endothermic tube in tower solar thermal power generation[D]. Xi'an: Xi'an University of Technology, 2019.
12	汪琦, 俞红啸, 张慧芬. 太阳能光热熔盐发电技术的研究与开发[J]. 上海化工, 2016, 41(11): 34-37.
	WANG Q, YU H X, ZHANG H F. Research and development of molten salt solar thermal power generation technology[J]. Shanghai Chemical Industry, 2016, 41(11): 34-37.
13	王斌,马涛. 低负荷时炉膛出口烟温偏差大的原因分析及运行调整[J]. 河北电力技术, 2019, 38(4): 44-46.
	WANG B, MA T. Cause analysis and operation adjustment of large temperature deviation of furnace outlet at low load[J]. Hebei Electric Power, 2019, 38(4): 44-46.
14	范华, 张欣. 太阳能熔融盐传热系统设计[J]. 工业炉, 2018, 40(4): 53-55.
	FAN H, ZHANG X. Design of heat transfer system for solar energy molten salt[J]. Industrial Furnace, 2018, 40(4): 53-55.
15	邹露璐. 四元混合熔融盐的配方优选及蓄热系统的经济性分析[D]. 呼和浩特: 内蒙古工业大学, 2018.
	ZOU L L. Formulation optimization of quaternary mixed molten salt and economic analysis of thermal storage system[D]. Hohhot: Inner Mongolia University of Technology, 2018.

项目	子项目	数值
主机模块	主蒸汽温度/℃	566
	主蒸汽压力/MPa	21.5
	高温再热蒸汽温度/℃	528
	高温再热蒸汽压力/MPa	0.977
充热功率模块	储热过程热熔盐温度/℃	480.1
	储热过程冷熔盐温度/℃	280
	熔盐储热流量/(t·h^-1)	3325.8
	主蒸汽换热流量/(t·h^-1)	525.3
	高温再热蒸汽换热流量/(t·h^-1)	237.8
	过冷高压水温度/℃	360
	高温再热蒸汽换热后温度/℃	320
储热容量模块	储热容量/(MW·h)	1677.5
	储热时间/h	6
	熔盐量/t	23150

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