scholarly journals Nonlinear Adaptive Control of Heat Transfer Fluid Temperature in a Parabolic Trough Solar Power Plant

Energies ◽  
2017 ◽  
Vol 10 (8) ◽  
pp. 1155 ◽  
Author(s):  
Antonio Nevado Reviriego ◽  
Félix Hernández-del-Olmo ◽  
Lourdes Álvarez-Barcia
Energies ◽  
2017 ◽  
Vol 10 (8) ◽  
pp. 1078 ◽  
Author(s):  
Lourdes Barcia ◽  
Rogelio Peon ◽  
Juan Díaz ◽  
A.M. Pernía ◽  
Juan Martínez

2021 ◽  
Vol 11 (20) ◽  
pp. 9576
Author(s):  
Wisam Abed Kattea Al-Maliki ◽  
Adnan G. Tuaamah Al-Hasnawi ◽  
Hasanain A. Abdul Wahhab ◽  
Falah Alobaid ◽  
Bernd Epple

The present work focuses on the development of a detailed dynamic model of an existing parabolic trough solar power plant (PTSPP) in Spain. This work is the first attempt to analyse the dynamic interaction of all parts, including solar field (SF), thermal storage system (TSS) and power block (PB), and describes the heat transfer fluid (HTF) and steam/water paths in detail. Advanced control circuits, including drum level, economiser water bypass, attemperator and steam bypass controllers, are also included. The parabolic trough power plant is modelled using Advanced Process Simulation Software (APROS). An accurate description of control structures and operation strategy is necessary in order to achieve a reasonable dynamic response. This model would help to identify the best operation strategy due to DNI (direct normal irradiation) variations during the daytime. The operation strategy used in this model has also been shown to be effective compared to decisions made by operators on cloudy periods by improving power plant performance and increasing operating hours.


Solar Energy ◽  
2021 ◽  
Vol 214 ◽  
pp. 551-564
Author(s):  
Linrui Ma ◽  
Tong Zhang ◽  
Xuelin Zhang ◽  
Bin Wang ◽  
Shengwei Mei ◽  
...  

Energies ◽  
2017 ◽  
Vol 11 (1) ◽  
pp. 37 ◽  
Author(s):  
Jose Rogada ◽  
Lourdes Barcia ◽  
Juan Martinez ◽  
Mario Menendez ◽  
Francisco de Cos Juez

Power plants producing energy through solar fields use a heat transfer fluid that lends itself to be influenced and changed by different variables. In solar power plants, a heat transfer fluid (HTF) is used to transfer the thermal energy of solar radiation through parabolic collectors to a water vapor Rankine cycle. In this way, a turbine is driven that produces electricity when coupled to an electric generator. These plants have a heat transfer system that converts the solar radiation into heat through a HTF, and transfers that thermal energy to the water vapor heat exchangers. The best possible performance in the Rankine cycle, and therefore in the thermal plant, is obtained when the HTF reaches its maximum temperature when leaving the solar field (SF). In addition, it is necessary that the HTF does not exceed its own maximum operating temperature, above which it degrades. The optimum temperature of the HTF is difficult to obtain, since the working conditions of the plant can change abruptly from moment to moment. Guaranteeing that this HTF operates at its optimal temperature to produce electricity through a Rankine cycle is a priority. The oil flowing through the solar field has the disadvantage of having a thermal limit. Therefore, this research focuses on trying to make sure that this fluid comes out of the solar field with the highest possible temperature. Modeling using data mining is revealed as an important tool for forecasting the performance of this kind of power plant. The purpose of this document is to provide a model that can be used to optimize the temperature control of the fluid without interfering with the normal operation of the plant. The results obtained with this model should be necessarily contrasted with those obtained in a real plant. Initially, we compare the PID (proportional–integral–derivative) models used in previous studies for the optimization of this type of plant with modeling using the multivariate adaptive regression splines (MARS) model.


Energy ◽  
2018 ◽  
Vol 155 ◽  
pp. 565-577 ◽  
Author(s):  
P.A. González-Gómez ◽  
J. Gómez-Hernández ◽  
J.V. Briongos ◽  
D. Santana

2020 ◽  
Vol 160 ◽  
pp. 02005
Author(s):  
Wael Al-Kouz ◽  
Jamal Nayfeh ◽  
Alberto Boretti

The paper discusses the design options for a concentrated solar power plant in Al-Khobar, Saudi Arabia. The specific conditions, in terms of weather and sun irradiance, are considered, including sand and dust, humidity, temperature and proximity to the sea. Different real-world experiences are then considered, to understand the best design to adapt to the specific conditions. Concentrated solar power solar tower with thermal energy storage such as Crescent Dunes, or concentrated solar power solar tower without thermal energy storage but boost by natural gas combustion such as Ivanpah are disregarded for the higher costs, the performances well below the design, and the extra difficulties for the specific location such as temperatures, humidity and sand/dust that suggest the use of an enclosed trough. Concentrated solar power parabolic trough without thermal energy storage such as Genesis or Mojave, of drastically reduced cost and much better performances, do not provide however the added value of thermal energy storage and dispatchability that can make interesting Concentrated solar power vs. alternatives such as wind and solar photovoltaic. Thus, the concentrated solar power parabolic trough with thermal energy storage of Solana, of intermediate costs and best performances, albeit slightly lower than the design values, is selected. This design will have to be modified to enclosed trough and adopt a Seawater, Once-trough condenser. Being the development peculiar, a small scale pilot plant is suggested before a full-scale development.


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