Basic Control of Parabolic Troughs

Camacho, Eduardo F.; Berenguel, Manuel; Rubio, Francisco; Martı́nez, Diego

doi:10.1007/978-0-85729-916-1_4

Cited by 3 publications

(5 citation statements)

References 64 publications

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“…The results are presented the total beam radiation for a single day using markers (kWh/m 2 ‐day) as well as monthly averages as solid lines in Figure . The beam radiation is the fundamental input to the PTC collectors, which are considered to consist of SEGS LS‐2 collectors as given in . The combined ORC and dry/wet cooling unit is connected to 12 of these PTC collectors for system level simulations, corresponding to a field area of 468 m 2 .…”

Section: Resultsmentioning

confidence: 99%

“…Models characterizing the steady and unsteady thermal behavior of PTCs in the literature vary in the way that they define governing equations based on various thermal networks composed of a combination of fluid flow, absorber pipe and glass cover . Many studies related to devising control strategies for PTCs only use the equation for the fluid flow to reduce the computational overhead . In fact, system level models rigorously attempt to reduce the computational cost by applying steady PTC models , or to further simplify the governing equations of the solar field.…”

Section: Methodsmentioning

confidence: 99%

“…The results are presented the total beam radiation for a single day using markers (kWh/m 2 -day) as well as monthly averages as solid lines in Figure 8. The beam radiation is the A methodology to assess a site for small scale wet and dry CSP systems E. Uzgoren and E. Timur fundamental input to the PTC collectors, which are considered to consist of SEGS LS-2 collectors as given in [20].…”

Section: System Level Simulationsmentioning

confidence: 99%

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A methodology to assess suitability of a site for small scale wet and dry CSP systems

Uzgoren

Timur²

2015

Int. J. Energy Res.

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SUMMARYThis study presents a methodology to assess suitability of a site for small scale concentrated solar power (CSP) systems for its energy conversion efficiency and make-up water requirement. Energy conversion efficiency of CSPs relies not only on the level of direct solar radiation but also on the performance of the cooling system. Regions with high solar potential have to deal with heat rejection at elevated temperatures which causes reduced energy conversion efficiencies due to high condenser temperatures. It is desirable to utilize wet cooling systems as they can achieve temperatures lower than the dry bulb temperature by evaporative cooling. On the other hand, such regions usually lack water resources which deteriorate the sustainable nature of CSP applications. This study combines various available models for both solar resource estimation and cooling systems' performance considering (i) the influence of ambient temperatures, and (ii) the influence of humidity levels. These models are integrated together to analyze the use of dry or wet cooling systems in terms of overall energy output and water consumption at a selected site in northern Cyprus. The model inputs consist of only annual hourly surface weather data and the location of the site of interest. The results show that dry cooling unit at northern Cyprus is capable of saving water about 18.7 ton/MWh while it produces 27% less energy compared to the wet cooling alternative for the representative annual weather data.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: System Level Simulationsmentioning

confidence: 99%

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A methodology to assess suitability of a site for small scale wet and dry CSP systems

Uzgoren

Timur²

2015

Int. J. Energy Res.

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“…This term represents the transfer function that models the resonance mode of system while the remaining part represent the low order transfer function of the system. As the purpose of the study is to capture the dynamics of the system and to test/suggest a relevant control schemes, so in line with suggestion by Camacho et al [35], [36] equation (29) needs to be approximated to a standard form and then term 𝑅(𝑠) can be The remaining transfer function can capture the key system dynamics and the impact of disturbances such that it can assist to design high-performance control systems. Thus, the transfer function relating the outlet HTF temperature with HTF flow rate is given as:…”

Section: Derivation Of Transfer Functionmentioning

confidence: 99%

Dynamic Modeling and Controller Design for a Parabolic Trough Solar Collector

et al. 2023

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The current study unveils an analytical dynamic model of a parabolic trough solar collector (PTSC) and subsequently presents the process to derive the transfer function of the PTSC system. The presented generalized transfer function derivation can be utilized to relate different operating parameters with the output temperature for any PTSC module. Presented model and derivation are applied on a PTSC module tested by Sandia National Laboratory, USA and a transfer function relating the outlet temperature of heat transfer fluid (HTF) with flowrate is derived. PID controller is designed to maintain the HTF outlet temperature by manipulating the flowrate. Controller tuning is performed via nature-inspired algorithms (NIAs) which is rare in the context of the control systems for PTSCs. Two NIAs namely Self-adaptive Differential Evolution (SaDE) and African Vultures Optimization Algorithm (AVOA) were used for tuning with minimization of integral of time-weighted absolute error (ITAE) as an objective. It is concluded that SaDE-PID tuned controller outperforms AVOA-PID tuned controller with lower ITAE and in terms of other controller characteristics. Also, the designed controller is examined on various grounds as transient response characteristics and performance indexes. This completes the investigation of the integrity of the presented model, process, and controller.

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“…El coeficiente de transmisión de calor, formado por una parte dependiente de la temperatura del fluido y otra del caudal de aceite [9,10], se muestra en las ecuaciones 6 y 7 [6]. Para resolver estas ecuaciones, es necesario emplear expresiones complejas de transmisión de calor por convección.…”

Section: Matlab-simulinkunclassified

Modelado del campo cilindro-parabólico TCP-100 empleando Simulink

Triana¹,

Chicaiza²,

Pozo³

et al. 2022

XLIII Jornadas De Automática: Libro De Actas: 7, 8 Y 9 De Septiembre De 2022, Logroño (La Rioja)

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Hoy en día, a la hora de estudiar el rendimiento de una planta, es típico contar con un modelo fiable que permita realizar pruebas sin desperdiciar recursos en ensayos innecesarios en la planta real. Uno de los programas empleados en la industria es Matlab®, el cual posee la herramienta llamada Simulink®, con la que se puede describir un sistema mediante diagramas de bloques. En este trabajo se describe el diseño de un modelo en Simulink, de la instalación de investigación de colectores cilindro-parabólicos (CCP) TCP-100, en la Plataforma Solar de Almería (PSA). Este modelo permitirá el aprendizaje didáctico sobre control de plantas termosolares mediante el uso de controladores básicos y muy usados en la industria, así como las ventajas y desventajas del uso de los mismos en plantas altamente no lineales. Los resultados del modelo en Simulink serán comparados con los obtenidos al programar el mismo modelo en el código de Matlab.

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Basic Control of Parabolic Troughs

Cited by 3 publications

References 64 publications

A methodology to assess suitability of a site for small scale wet and dry CSP systems

A methodology to assess suitability of a site for small scale wet and dry CSP systems

Dynamic Modeling and Controller Design for a Parabolic Trough Solar Collector

Modelado del campo cilindro-parabólico TCP-100 empleando Simulink

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