集装箱储能系统降能耗技术

doi:10.19799/j.cnki.2095-4239.2020.0001

摘要/Abstract

摘要：

锂离子电池集装箱储能系统在储能的过程中需消耗电能，因此降低集装箱储能系统能耗可有效提高电力效率。集装箱储能系统能耗主要分为空调系统能耗、PCS能耗、BMS能耗及其他能耗，其中空调系统与PCS总能耗占比达92%。本文对空调系统和PCS设备进行了降能耗方案分析，通过测试与理论计算的方法，最终得到：空调系统实测能耗降低约41.8%，集装箱系统能耗降低约33.0%；PCS设备通过将现有SI基IGBT模块更换为SIC IGBT模块，理论计算可降低PCS设备能耗约32.6%，约降低集装箱系统能耗7.1%。以上方案实现集装箱储能系统总能耗降低约40.1%。

关键词: 储能系统, 节能降耗, 锂电池

Abstract:

A lithium battery container energy storage system consumes electrical energy during energy storage; hence, reducing the energy consumption of the container energy storage system can effectively improve the power efficiency. The energy consumption of the container energy storage system is mainly divided into air conditioning system energy consumption, PCS energy consumption, BMS energy consumption, and other energy consumption, of which the total energy consumptions of the air conditioning system and the PCS account for 92%. This study analyzes the energy consumption reduction plan of the air conditioning system and the PCS equipment. Through testing and theoretical calculations, we find that the actual energy consumption of the air conditioning system is reduced by approximately 41.8%, while that of the container system is reduced by approximately 33.0%. Some SI-based IGBT modules have been replaced by SIC IGBT modules. The theoretical calculation can reduce the energy consumptions of the PCS equipment and the container systems by 32.6% and approximately 7.1%, respectively. The abovementioned solution reduces the total energy consumption of the container energy storage system by approximately 40.1%.

Key words: energy storage system, energy saving, lithium battery

中图分类号:

TK 02

王志伟, 张子峰, 尹韶文, 孙嘉品, 尹雪芹, 曹虎. 集装箱储能系统降能耗技术[J]. 储能科学与技术, 2020, 9(6): 1872-1877.

Zhiwei WANG, Zifeng ZHANG, Shaowen YIN, Jiapin SUN, Xueqin YIN, Hu CAO. Energy reduction technology of container energy storage system[J]. Energy Storage Science and Technology, 2020, 9(6): 1872-1877.

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参考文献 18

1	陈玉和. 储能技术发展概况研究[J]. 能源研究与信息, 2012, 28(3): 147-152.
2	CHEN Haisheng, CONG N T, YANG Wei, et al. Progress in electrical energy storage system—A critical review[J]. Progress in Natural Science, 2009, 19(3): 291-312.
3	Energy Storage Council. Energy storage, the missing link in the electricity value chain[R]. 2002.
4	LUO Xing, WANG Jihong, DOONER M, et al. Overview of current development in electrical energy storage technologies and the application potential in power system operation[J]. Applied Energy, 2015, 137: 511-536.
5	林宇. 通信基站后备电源储能节能改造及分析[J]. 能源与环境, 2014(2): 17-22.
6	OLEJNICZAK K. Advanced low-cost SiC and GaN wide bandgap inverters for under-the-hood electric vehicle traction drives[R]. 2016
7	HE J. Application of wide bandgap devices in renewable energy system—benefits and challenges[C]//3rd International Conference on Renewable Energy Research and Applications, Milwakuee, 2014: 749-754.
8	RAHIMO M. Characterization of a silicon IGBT and silicon carbide MOSFET cross-switch hybrid[J]. IEEE Trans. on Power Electron, 2015(9): 4638-4642.
9	曹峻. 碳化硅半导体技术和市场应用综述[J]. 集成电路应用, 2018, 35(8): 5-9.
	CAO J. Summary of silicon carbide semiconductor technology and market application[J]. Applicaitions of IC, 2018, 35(8): 5-9.
10	何志. 第3代半导体电力电子功率器件和产业发展趋势[J]. 新材料产业, 2014(3): 8-12.
11	SU Ming, CHEN Chingchi. Can SiC or GaN power the next-generation hybrid electric vehicle drive systems[C]//CS international conference, March 18th, Frankfurt, Germany, 2014.
12	SUI Y, COOPER J A, WANG X. Design, simulation and characterization of high-voltage SiC p-IGBTs[C]//ICSCRM, Otsu, Japan, 2007: 1191-1194.
13	TRIPATHI A, MAINALI K, MADHUSOODHANAN S, et al. MVDC microgrids enabled by 15 kV SiC IGBT based flexible three phase dual active bridge isolated DC/DC converter[C]//Energy Conversion Congress Exposition, 2015: 5708-5715.
14	陶文铨. 数值传热学[M]. 第二版. 西安: 西安交通大学出版社, 2001.
15	钱晓栋, 李震. 数据中心空调系统节能研究[J]. 暖通空调, 2012, 42(3): 91-98.
	QIAN Xiaodong, Li Zhen, Energy saving research on air conditioning system in data centers[J]. HV&AC, 2012, 42(3): 91-98.
16	陈胜朋, 梁立平, 陈红, 等. 机房空调节能技术探讨[J]. 制冷与空调, 2013, 27(5): 458-461, 465.
	CHEN Shengpeng, LIANG Liping, CHEN Hong, et al. Introduction and analysis on energy saving technologies of machine room[J]. Refrigeration & Air Conditioning, 2013, 27(5): 458-461, 465.
17	陈海东. 氟泵节能空调的节能技术和效果分析[J]. 邮电设计技术, 2014(12): 83-86.
	CHEN Haidong. Energy saving technology and effects analysis of fluoride pump energy saving air conditioning[J]. Designing Techniques of Posts and Telecommunications, 2014(12): 83-86.
18	李奇贺, 黄虎, 张忠斌. 热管式机房空调性能实验研究[J]. 暖通空调, 2010, 40(4): 145-148.
	LI Qihe, HUANG Hu, ZHANG Zhongbin. Performance experiment of heat pipe type air conditioning units for computer and data processing rooms[J]. HV&AC, 2010, 40(4): 145-148.

参数	数据
总容量	20 MVA/20 MW·h
集装箱数量	16台
单集装箱容量	1.25 MVA/1.25 MW·h
充放电倍率	1 C
运行模式	FFR、Arbitrage
冷却方式	空调冷却

项目	百分比/%
提高COP	0.8
减少漏热量	3.4
空调内风机运行策略优化	28.8
总节能量	33.0

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