Research on improving cooling performance of compressed air energy storage system

doi:10.19799/j.cnki.2095-4239.2023.0214

Abstract

Abstract:

The adiabatic compressed air energy storage (A-CAES) system can realize the triple cooling, heating, and electricity supply. If the designed A-CAES system can supply matched cooling and replace the user's refrigeration equipment in the residential area community, the deducted investment of air conditioning equipment can be used to offset part of the energy storage system investment. Therefore, this shortens the static payback period of the energy storage system. In addition, off-peak power consumption can reduce the consumption of peak power resources by large-scale cooling equipment in the summer. In this research, an adiabatic compressed air energy storage system was constructed with a 5000 m³ tank volume and a 4.6—10.0 MPa tank storage pressure range. The system's cooling capacity was supplied to the user in the form of cold air produced by the ejector. The charging and discharging periods were simulated to analyze the energy output characteristics. The system configuration and operating parameters were analyzed and determined to maximize the cooling capacity in the cooling season and the electricity generation in the non-cooling season. The research results showed that the maximum cooling capacity of the system in the cooling season was 36.96 GJ, supplying 190 households. Compared with the compressed air energy storage trigeneration system to maximize economic benefits, the cooling capacity was increased by 287.76%. Regulating the preheating hot water flow could change the energy output ratio of the system to make the system match the changing energy needs of users. Under the maximum cooling condition, the recovery cycle of the system was 12.39 years. The system constructed in this paper aims to provide a new idea for applying an adiabatic compressed air energy storage system in refrigeration and a new method for large-scale cooling in summer.

Key words: adiabatic compressed air energy storage system, trigeneration, ejectors, cold air supply

CLC Number:

TK 02

Wenhui LI, Yonghan JIAO, Ge GUO, Jiajun LI, Jianqiang DENG. Research on improving cooling performance of compressed air energy storage system[J]. Energy Storage Science and Technology, 2023, 12(9): 2833-2841.

Figures/Tables 10

Fig. 1

Table 1

Fig. 2

Table 2

Table 3

System equipment cost calculation formula"

设备名	费用计算式
压缩机^[16]	$I C c = 183.9 × m c (k g / h)$
膨胀机^[16]	$I C e = 919.5 × W e (k W)$
换热器^[17]	$I C h x = 130 × A h x / 0.093 0.78 × 6.7401$
储罐^[17]	$I C p = 4042 × V s t 0.506 × 6.7401$
其余设备成本及维护费用^[9]	$I C b = 0.2 × I C e q p$

Table 3

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Table 4

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运行参数	单位	值
环境压力	kPa	101.33
环境温度	K	300.00
气体储罐体积	m³	5000.00
储罐最低压力	kPa	4587.68
储罐最高压力	MPa	10.00
充能时长	h	8.00
换热器压降	kPa	20.0
储罐和环境的传热系数	W/(m²·K)	50.00
热能储存介质的压力	MPa	1.00
压缩阶段吸热水质量流量	kg/s	3.00
膨胀阶段预热水质量流量	kg/s	0—3.00
压缩机额定等熵效率	—	0.85
压缩机额定气体质量流量	kg/s	10.00
膨胀机额定等熵效率	—	0.88
膨胀机额定气体质量流量	kg/s	10.00
膨胀机前节流压力	kPa	4500.00

能量形式	价格/(元/GJ)	时间
电	235.77	7：00—10：00 19：00—22：00
	141.54	11：00—18：00
	101.84	23：00—6：00
热	35.59	0：00—24：00

设备名	系统成本×10⁶/元
压缩机	6.62
膨胀机	2.04
储罐	2.99
换热器	1.29
引射器	0.20
其他部件	2.63
全套系统	15.77

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