IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v177y2019icp106-120.html
   My bibliography  Save this article

Dynamic modeling and behavior of parabolic trough concentrated solar power system under cloudy conditions

Author

Listed:
  • Wang, Anming
  • Liu, Jiping
  • Liu, Ming
  • Li, Gen
  • Yan, Junjie

Abstract

As a promising application of solar energy, parabolic trough concentrating solar power with indirect thermal energy storage has been widely used in concentrating solar power plants constructed in China. The dynamic modeling and behavior of the power plants were important for achieving fast start-up and shut down and to overcome weather disturbances. This study investigated the dynamic characteristics of a 50 MW parabolic trough concentrating solar power plant with indirect thermal energy storage. Simplified cloud disturbances were simulated to obtain the dynamic characteristics of a power block coupled with solar field and thermal energy storage. Simulation results indicated that the thermal inertia of solar field is an order of magnitude larger than that of power block and thermal energy storage subsystems, and the heat transfer fluid temperature at the solar field outlet fluctuates within a narrow range at rated value under the control scheme of solar field. The disturbances caused by heat transfer fluid temperature fluctuation were reduced by thermal energy storage operation. To minimize the generation load fluctuation under thick-cloud condition, the thermal energy stored in solar field could be used to moderate the fluctuation caused by the start-up of thermal energy storage discharging exchanger.

Suggested Citation

  • Wang, Anming & Liu, Jiping & Liu, Ming & Li, Gen & Yan, Junjie, 2019. "Dynamic modeling and behavior of parabolic trough concentrated solar power system under cloudy conditions," Energy, Elsevier, vol. 177(C), pages 106-120.
    • Handle: RePEc:eee:energy:v:177:y:2019:i:c:p:106-120
    DOI: 10.1016/j.energy.2019.03.100
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219305043
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.03.100?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Manenti, Flavio & Ravaghi-Ardebili, Zohreh, 2013. "Dynamic simulation of concentrating solar power plant and two-tanks direct thermal energy storage," Energy, Elsevier, vol. 55(C), pages 89-97.
    2. Zhao, Yongliang & Wang, Chaoyang & Liu, Ming & Chong, Daotong & Yan, Junjie, 2018. "Improving operational flexibility by regulating extraction steam of high-pressure heaters on a 660 MW supercritical coal-fired power plant: A dynamic simulation," Applied Energy, Elsevier, vol. 212(C), pages 1295-1309.
    3. Fasquelle, T. & Falcoz, Q. & Neveu, P. & Lecat, F. & Flamant, G., 2017. "A thermal model to predict the dynamic performances of parabolic trough lines," Energy, Elsevier, vol. 141(C), pages 1187-1203.
    4. Fthenakis, Vasilis & Mason, James E. & Zweibel, Ken, 2009. "The technical, geographical, and economic feasibility for solar energy to supply the energy needs of the US," Energy Policy, Elsevier, vol. 37(2), pages 387-399, February.
    5. Wang, Chaoyang & Zhao, Yongliang & Liu, Ming & Qiao, Yongqiang & Chong, Daotong & Yan, Junjie, 2018. "Peak shaving operational optimization of supercritical coal-fired power plants by revising control strategy for water-fuel ratio," Applied Energy, Elsevier, vol. 216(C), pages 212-223.
    6. Valenzuela, Loreto & López-Martín, Rafael & Zarza, Eduardo, 2014. "Optical and thermal performance of large-size parabolic-trough solar collectors from outdoor experiments: A test method and a case study," Energy, Elsevier, vol. 70(C), pages 456-464.
    7. Li, Mengying & Chu, Yinghao & Pedro, Hugo T.C. & Coimbra, Carlos F.M., 2016. "Quantitative evaluation of the impact of cloud transmittance and cloud velocity on the accuracy of short-term DNI forecasts," Renewable Energy, Elsevier, vol. 86(C), pages 1362-1371.
    8. Qiu, Yu & Li, Ming-Jia & Wang, Wen-Qi & Du, Bao-Cun & Wang, Kun, 2018. "An experimental study on the heat transfer performance of a prototype molten-salt rod baffle heat exchanger for concentrated solar power," Energy, Elsevier, vol. 156(C), pages 63-72.
    9. Bava, Federico & Furbo, Simon, 2017. "Development and validation of a detailed TRNSYS-Matlab model for large solar collector fields for district heating applications," Energy, Elsevier, vol. 135(C), pages 698-708.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mendoza Castellanos, Luis Sebastián & Galindo Noguera, Ana Lisbeth & Gutiérrez Velásquez, Elkin I. & Caballero, Gaylord Enrique Carrillo & Silva Lora, Electo Eduardo & Melian Cobas, Vladimir Rafael, 2020. "Mathematical modeling of a system composed of parabolic trough solar collectors integrated with a hydraulic energy storage system," Energy, Elsevier, vol. 208(C).
    2. Wang, Anming & Liu, Jiping & Zhang, Shunqi & Liu, Ming & Yan, Junjie, 2020. "Steam generation system operation optimization in parabolic trough concentrating solar power plants under cloudy conditions," Applied Energy, Elsevier, vol. 265(C).
    3. Li, Gen & Du, Guanghan & Liu, Guixiu & Yan, Junjie, 2024. "Study on the dynamic characteristics, control strategies and load variation rates of the concentrated solar power plant," Applied Energy, Elsevier, vol. 357(C).
    4. Zhang, Shunqi & Liu, Ming & Ma, Yuegeng & Liu, Jiping & Yan, Junjie, 2021. "Flexibility assessment of a modified double-reheat Rankine cycle integrating a regenerative turbine during recuperative heater shutdown processes," Energy, Elsevier, vol. 233(C).
    5. Zhang, Shunqi & Liu, Ming & Zhao, Yongliang & Liu, Jiping & Yan, Junjie, 2021. "Dynamic simulation and performance analysis of a parabolic trough concentrated solar power plant using molten salt during the start-up process," Renewable Energy, Elsevier, vol. 179(C), pages 1458-1471.
    6. Zhang, Shunqi & Liu, Ming & Zhao, Yongliang & Zhang, Kezhen & Liu, Jiping & Yan, Junjie, 2022. "Thermodynamic analysis on a novel bypass steam recovery system for parabolic trough concentrated solar power plants during start-up processes," Renewable Energy, Elsevier, vol. 198(C), pages 973-983.
    7. Zhang, Shunqi & Liu, Ming & Zhao, Yongliang & Liu, Jiping & Yan, Junjie, 2022. "Energy and exergy analyses of a parabolic trough concentrated solar power plant using molten salt during the start-up process," Energy, Elsevier, vol. 254(PC).
    8. Yao, Lingxiang & Xiao, Xianyong & Wang, Yang & Yao, Xiaoming & Ma, Zhicheng, 2022. "Dynamic modeling and hierarchical control of a concentrated solar power plant with direct molten salt storage," Energy, Elsevier, vol. 252(C).
    9. Wang, Jiaxing & Li, Yiguo & Zhang, Junli, 2023. "Coordinated control of concentrated solar power systems with indirect molten salt storage considering operation mode switching: Using switching model predictive control," Energy, Elsevier, vol. 268(C).
    10. Zhang, Peiye & Liu, Ming & Zhao, Yongliang & Yan, Junjie, 2023. "Performance analysis on the parabolic trough solar receiver-reactor of methanol decomposition reaction under off-design conditions and during dynamic processes," Renewable Energy, Elsevier, vol. 205(C), pages 583-597.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
    2. Yao, Lingxiang & Xiao, Xianyong & Wang, Yang & Yao, Xiaoming & Ma, Zhicheng, 2022. "Dynamic modeling and hierarchical control of a concentrated solar power plant with direct molten salt storage," Energy, Elsevier, vol. 252(C).
    3. Wang, Anming & Liu, Jiping & Zhang, Shunqi & Liu, Ming & Yan, Junjie, 2020. "Steam generation system operation optimization in parabolic trough concentrating solar power plants under cloudy conditions," Applied Energy, Elsevier, vol. 265(C).
    4. Fasquelle, T. & Falcoz, Q. & Neveu, P. & Lecat, F. & Flamant, G., 2017. "A thermal model to predict the dynamic performances of parabolic trough lines," Energy, Elsevier, vol. 141(C), pages 1187-1203.
    5. Moudakkar, Touria & El Hallaoui, Z. & Vaudreuil, S. & Bounahmidi, T., 2019. "Modeling and performance analysis of a PTC for industrial phosphate flash drying," Energy, Elsevier, vol. 166(C), pages 1134-1148.
    6. Zhao, Haitao & Jiang, Peng & Chen, Zhe & Ezeh, Collins I. & Hong, Yuanda & Guo, Yishan & Zheng, Chenghang & Džapo, Hrvoje & Gao, Xiang & Wu, Tao, 2019. "Improvement of fuel sources and energy products flexibility in coal power plants via energy-cyber-physical-systems approach," Applied Energy, Elsevier, vol. 254(C).
    7. Liu, Ming & Wang, Shan & Yan, Junjie, 2021. "Operation scheduling of a coal-fired CHP station integrated with power-to-heat devices with detail CHP unit models by particle swarm optimization algorithm," Energy, Elsevier, vol. 214(C).
    8. Mohammad Qasem & Omar Mohamed & Wejdan Abu Elhaija, 2022. "Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    9. Wang, Congyu & Song, Jiwei, 2023. "Performance assessment of the novel coal-fired combined heat and power plant integrating with flexibility renovations," Energy, Elsevier, vol. 263(PC).
    10. Wang, Chaoyang & Liu, Ming & Zhao, Yongliang & Qiao, Yongqiang & Yan, Junjie, 2018. "Entropy generation analysis on a heat exchanger with different design and operation factors during transient processes," Energy, Elsevier, vol. 158(C), pages 330-342.
    11. Zhang, Shunqi & Liu, Ming & Ma, Yuegeng & Liu, Jiping & Yan, Junjie, 2021. "Flexibility assessment of a modified double-reheat Rankine cycle integrating a regenerative turbine during recuperative heater shutdown processes," Energy, Elsevier, vol. 233(C).
    12. Wang, Chaoyang & Qiao, Yongqiang & Liu, Ming & Zhao, Yongliang & Yan, Junjie, 2020. "Enhancing peak shaving capability by optimizing reheat-steam temperature control of a double-reheat boiler," Applied Energy, Elsevier, vol. 260(C).
    13. Liu, Rongtang & Liu, Ming & Fan, Peipei & Zhao, Yongliang & Yan, Junjie, 2018. "Thermodynamic study on a novel lignite poly-generation system of electricity-gas-tar integrated with pre-drying and pyrolysis," Energy, Elsevier, vol. 165(PB), pages 140-152.
    14. Wang, Yanhong & Cao, Lihua & Hu, Pengfei & Li, Bo & Li, Yong, 2019. "Model establishment and performance evaluation of a modified regenerative system for a 660 MW supercritical unit running at the IPT-setting mode," Energy, Elsevier, vol. 179(C), pages 890-915.
    15. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Wang, Zhu & Chong, Daotong & Yan, Junjie, 2019. "Exergy analysis of the regulating measures of operational flexibility in supercritical coal-fired power plants during transient processes," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    16. Cao, Lihua & Wang, Zhanzhou & Pan, Tongyang & Dong, Enfu & Hu, Pengfei & Liu, Miao & Ma, Tingshan, 2021. "Analysis on wind power accommodation ability and coal consumption of heat–power decoupling technologies for CHP units," Energy, Elsevier, vol. 231(C).
    17. Yin, Linfei & Xie, Jiaxing, 2022. "Multi-feature-scale fusion temporal convolution networks for metal temperature forecasting of ultra-supercritical coal-fired power plant reheater tubes," Energy, Elsevier, vol. 238(PA).
    18. Zaaoumi, Anass & Asbik, Mohamed & Hafs, Hajar & Bah, Abdellah & Alaoui, Mohammed, 2021. "Thermal performance simulation analysis of solar field for parabolic trough collectors assigned for ambient conditions in Morocco," Renewable Energy, Elsevier, vol. 163(C), pages 1479-1494.
    19. Chen, Chen & Liu, Ming & Li, Mengjie & Wang, Yu & Wang, Chaoyang & Yan, Junjie, 2024. "Digital twin modeling and operation optimization of the steam turbine system of thermal power plants," Energy, Elsevier, vol. 290(C).
    20. Zhang, Kezhen & Zhao, Yongliang & Liu, Ming & Gao, Lin & Fu, Yue & Yan, Junjie, 2021. "Flexibility enhancement versus thermal efficiency of coal-fired power units during the condensate throttling processes," Energy, Elsevier, vol. 218(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:177:y:2019:i:c:p:106-120. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.