Matching performance between the trigeneration of an adiabatic compressed air energy storage system and load

doi:10.19799/j.cnki.2095-4239.2021.0233

Abstract

Abstract:

Adjusting trigeneration of adiabatic compressed air energy storage system (A-CAES) to match the variable loads of the supply objects in different seasons can greatly promote the practical application of A-CAES system. In this paper, the simulation model of A-CAES system was developed. The charging and discharging period of system were simulated to investigate the characteristics of system trigeneration. The cooling, heating and electric load of a typical residential area in different seasons was analyzed. Then the load of residential area and trigeneration of system was matched to find the matching performance between them. Finally, through economic analysis the energy cost of a traditional residential area and a new residential area whose energy is supplied by A-CASE system was compared. The simulation results show that the cooling and heating load of households varies greatly in different seasons, but the difference of electric load is small. The mass flow rate of chilled water has little effect on the cooling, heating and electric output, so the minimum value is suggested to improve the quality of chilled water. The mass flow rate of preheating hot water in the discharging period can greatly change cooling, heating and electric output of system. By matching system trigeneration characteristics and residential load, optimum heating hot water flow for summer, spring and autumn, and winter was selected as 3.9 kg/s, 3.9 kg/s and 1.6 kg/s. It is advisable to use higher hot water flow rate to maximize electricity production in summer. The economic analysis found that the annual energy supply cost of the residential area whose energy is supplied by A-CAES system is 23.1% lower than that of the conventional residential area. The annual energy supply cost of residential area decreases 1.56 million CNY. Combined with the equipment cost, the static investment payback period of the system was calculated as 15.6 years.

Key words: adiabatic compressed air energy storage system, variable load, trigeneration

CLC Number:

TK 02

Qi XIA, Yang HE, Yujie XU, Haisheng CHEN, Jianqiang DENG. Matching performance between the trigeneration of an adiabatic compressed air energy storage system and load[J]. Energy Storage Science and Technology, 2021, 10(5): 1494-1502.

Figures/Tables 13

Fig. 1

Table 1

Table 2

Table 3

Calculation formula of system equipment cost"

设备名	费用计算式/美元
压缩机	$I C c = 71.1 × m a, i n 0.92 - η c, 0 × π c × l n π c$
膨胀机	$I C e = 6000 × W e, 0 / 1000 0.7$
换热器	$I C h x = 130 × A h x / 0.093 0.78$
储罐	$I C p = 4042 V s t 0.506$
其他费用	$I C b = 0.2 × I C e q p$

Table 3

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Table 4

Table 5

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运行参数	值
环境压力/MPa	0.101325
环境温度/K	300
气体储罐体积/m³	5000
储罐最高压力/MPa	10
储罐最低压力/MPa	4.58768
换热器压降/MPa	0.02
储罐和环境的传热系数/(W·m^-2·K^-1)	50
热能储存介质的压力/MPa	4
压缩阶段吸热水质量流量/(kg·s^-1)	3
膨胀阶段预热水质量流量/(kg·s^-1)	1.6～4.14
膨胀阶段吸冷水质量流量/(kg·s^-1)	2.5
压缩机额定等熵效率	0.85
压缩机额定气体质量流量/(kg·s^-1)	10
压缩机额定压比	3.15
膨胀机额定等熵效率	0.88
膨胀机额定气体质量流量/(kg·s^-1)	10
膨胀机额定膨胀比	3.18
膨胀机前节流压力/MPa	3.276
热水循环蓄热温度/K	416
冷水循环蓄冷温度/K	278
充能时长/h	8
释能时长/h	7.2～7.7
压缩机组功率/MW	5.64
膨胀机组功率/MW	2.96～3.15

成本类型	季节	传统小区	新型小区	新型小区成本节省比例/%
电量成本/万元	冬季	1.59	1.44	9.4
	春秋季	1.59	1.2	24.5
	夏季	1.59	1.44(1.20)	9.4(24.5)
热量成本/万元	冬季	0.528	0.215	59
	春秋季	0.0274	0	100
	夏季	0.0274	0	100
冷量成本/万元	夏季	0.43	0.33(0.43)	23.8(0)
单日总成本/万元	冬季	2.12	1.66	21.7
	春秋季	1.62	1.2	25.8
	夏季	2.05	1.77(1.63)	13.3(20.4）
全年总成本/万元	—	675	533(519)	21.1(23.1)

设备名	成本/百万元
压缩机	0.964
膨胀机	14.67
储罐	2.84
换热器	1.8
其他费用	4.05
全套系统	24.3