Study on Steady State Power Model of Concentrated Solar Power With Heat Storage System

doi:10.12096/j.2096-4528.pgt.22044

Abstract

Abstract:

Concentrated solar power (CSP) with heat storage system, as a clean power, owns the capability of generating power continuously and stably, peak shaving and providing system inertia, which is one of the technologies to effectively solve the volatility of renewable energy. This paper proposed a steady state power approximate mathematical model for CSP with heat storage. This model takes the solar radiance as the input, and utilizes the simplified proportional integral to simulate the photo-thermal-electric conversion and the heat storing process, wherein the output power control strategy is considered as well. The simulation results show that the model is in good agreement with the measured curves under sunny and cloudy conditions, and can be used to analyze the sensitivity of the power characteristics of CSP power stations to key parameters.

Key words: concentrated solar power (CSP), heat storage, steady state power, approximate mathematical model, sensitivity analysis

CLC Number:

TK 51

Zedong ZHANG, Wei WANG, Jilei YE, Hong SHEN. Study on Steady State Power Model of Concentrated Solar Power With Heat Storage System[J]. Power Generation Technology, 2022, 43(5): 731-739.

Figures/Tables 16

Fig. 1 Structural diagram of tower photothermal power generation system

Fig. 2 Structural diagram of trough photothermal power generation system

Fig. 3 Model structure block diagram of CSP system

Fig. 4 Block diagram of the transfer function of photo thermal conversion section

Fig. 5 Block diagram of transfer function of thermoelectric conversion section

Fig. 6 Block diagram of the transfer function of the storage section

Tab. 1 Parameters of chosen CSP power station

参数	取值
额定输出功率 P_OUT/MW	50
光热转换系数η_j	0.103
光热转换时间常数 T_j	0.5
热电转换系数 η_f	0.956
热电转换时间常数T_f	0.1
储热罐最小存储热量Q_{s_min}/(MW⋅h)	35
储热罐最大存储热量 Q_{s_max}/(MW⋅h)	350
储热罐初始存储热量/(MW⋅h)	96

Fig. 7 DNI curve of a sunny and a cloudy day

Fig. 8 Simulation results of the simplified linear model in a sunny day

Fig. 9 Simulation results of the first order lag function model in a sunny day

Fig. 10 Simulation results of the first order lag function model in a cloudy day

Fig. 11 Influence of photothermal conversion parameter ηj to molten salt level and power output

Fig. 12 Influence of thermoelectric conversion parameter ηf to molten salt level and power output

Fig. 13 Influence of photothermal conversion time constant Tj to molten salt level and power output

Fig. 14 Influence of thermoelectric conversion time constant Tf to molten salt level and power output

Fig. 15 Influence of thermal storage tank volume to molten salt level and power output

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