A simplified dynamic model of integrated parabolic trough concentrating solar power plants: Modeling and validation

Wei, Shangshang; Liang, Xiufan; Mohsin, Taimoor; Wu, Xiao; Li, Yiguo

doi:10.1016/j.applthermaleng.2020.114982

Cited by 30 publications

(16 citation statements)

References 48 publications

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“…In this paper, we consider the parabolic trough power plant (Wei et al, 2020) described in Figure 1. As shown in Figure 1, the solar power plant consists of many parallel PTCs, each of which is made up of a parabolic reflector, absorber tube and glass cover.…”

Section: Ptc and Problem Statementsmentioning

confidence: 99%

“…In general, the length of PTC is divided into n discrete sections to construct a distributed parameter model. Then, the behaviors of the j th section can be mathematically described by Wei et al (2020)…”

Section: Ptc and Problem Statementsmentioning

confidence: 99%

“…In this paper, we consider the parabolic trough power plant (Wei et al, 2020) the solar power plant consists of many parallel PTCs, each of which is made up of a parabolic reflector, absorber tube and glass cover. Among them, the parabolic reflector is used to concentrate solar radiation onto a absorber tube.…”

Section: Background Of Ptcmentioning

confidence: 99%

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Optimal model predictive rejection control for nonlinear parabolic trough collector with lumped disturbances

Gao

Wei

2021

Transactions of the Institute of Measurement and Control

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It is challenging and crucial to achieve unbiased tracking control for parabolic trough collector field as it is vulnerable to various types of disturbances or uncertainties such as unmeasured external disturbances, parameter perturbation and model mismatch. To solve this issue, an optimal model predictive rejection control strategy is put forward in a composite designed manner, in which all disturbances/uncertainties are dealt with as lumped disturbances. A generalized extended state observer is firstly employed to estimate the lumped disturbances, and then a feedback controller is devised based on optimal model predictive control to compensate the influences of the lumped disturbances on output. Stability analysis of the closed-loop system has been presented. It shows that the proposed composite controller can track given references without offset in the presence of lumped disturbances while not sacrificing its nominal performance in the absence of disturbances. Simulations conducted on a numerical example and a practical application for parabolic trough collector validate our conclusions.

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Section: Ptc and Problem Statementsmentioning

confidence: 99%

Section: Ptc and Problem Statementsmentioning

confidence: 99%

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Optimal model predictive rejection control for nonlinear parabolic trough collector with lumped disturbances

Gao

Wei

2021

Transactions of the Institute of Measurement and Control

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“…Wei et al simulated the changing tendencies of electrical generation, thermal energy to power block, thermal energy in storage, and the solar field outlet parameters under design conditions and different cloud cover conditions, which are all consistent with the dynamic experimental data of trough solar plant Andasol 2. [ 62 ] Rodat et al obtained the dynamic characteristics of Fresnel CSP plant, with a single thermocline thermal energy storage under DNI and fluid temperature disturbances with feed‐forward control. [ 49,55 ] Al‐Maliki et al described the dynamic behaviors of HTF and steam/water paths in detail for a 50 MW parabolic trough power plant, including solar field, thermal storage system, and power block.…”

Section: Dynamic Characteristics Analyses and Control Strategiesmentioning

confidence: 99%

Review on Performance Analysis of the Power Block in Concentrated Solar Power Plants

et al. 2020

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“…They validated their models and results with previous studies and showed a good agreement with them. Wei et al [12] developed a simplified dynamic model of an integrated solar collector to model and modify present numerical procedures. The validations of steady-state and two dynamic cases showed the accuracy of the applied numerical approach.…”

Section: Introductionmentioning

confidence: 99%

Energy and Exergy Analysis of Using Turbulator in a Parabolic Trough Solar Collector Filled with Mesoporous Silica Modified with Copper Nanoparticles Hybrid Nanofluid

et al. 2020

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Designing the most efficient parabolic trough solar collector (PTSC) is still a demanding and challenging research area in solar energy systems. Two effective recommended methods for this purpose that increase the thermal characteristics of PTSCs are adding turbulators and nanofluids. To study the effects of the two approaches on the energy efficiency of PTSCs, a stainless steel turbulator was used and solid nanoparticles of Cu/SBA-15 were added to the water with the volume concentrations of 0.019% to 0.075%. The generated turbulence in the fluid flow was modeled by the SST k–ω turbulent model. The results in daylight demonstrated that energy efficiency increases steadily by 11:30 a.m., and then, starts to drop gradually due to more irradiations at noon. It was observed that applying the turbulator to the studied PTSC has a significant influence on the enhancement of energy efficiency. Adding the nanoparticles augmented the average Nusselt number inside the solar collector in various studied Reynolds numbers. It was also found that the increase in volume concentrations of nanoparticles enhances heat transfer regularly.

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A simplified dynamic model of integrated parabolic trough concentrating solar power plants: Modeling and validation

Cited by 30 publications

References 48 publications

Optimal model predictive rejection control for nonlinear parabolic trough collector with lumped disturbances

Optimal model predictive rejection control for nonlinear parabolic trough collector with lumped disturbances

Review on Performance Analysis of the Power Block in Concentrated Solar Power Plants

Energy and Exergy Analysis of Using Turbulator in a Parabolic Trough Solar Collector Filled with Mesoporous Silica Modified with Copper Nanoparticles Hybrid Nanofluid

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