IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v193y2022icp595-607.html
   My bibliography  Save this article

Control strategy of load following for ocean thermal energy conversion

Author

Listed:
  • Li, Deming
  • Fan, Chengcheng
  • Zhang, Chengbin
  • Chen, Yongping

Abstract

Ocean thermal energy conversion (OTEC) provides a feasible solution for sustainable and stable power supply in remote islands. In this paper, a thermodynamic model of the OTEC system is developed to study the dynamic response of power output and superheating degree to manipulated variables. Afterward, a control strategy of load following for the island OTEC system is proposed. Finally, two controllers, MPC and PI, are designed and compared under fast and slow load changes as well as disturbance rejection test. The results indicate that the power output of OTEC system is sensitive to the speed of working-fluid pump, reaching the adjustment range of 14.7 kW when the nominal speed decreases by 30%. In addition, model predictive control (MPC) shows better performance in both rapid and slow load-change modes. Especially, in the rapid load-change mode, the MPC controller could always keep the evaporator outlet superheating in the range of 2–4.5 °C, while the PI controller may introduce no superheat that may cause liquid impact. Both MPC and PI controller can stabilize the power output at the set point under one day's measured disturbance, while MPC controller makes the superheating degree of evaporator outlet within smaller temperature fluctuations (<0.2 °C).

Suggested Citation

  • Li, Deming & Fan, Chengcheng & Zhang, Chengbin & Chen, Yongping, 2022. "Control strategy of load following for ocean thermal energy conversion," Renewable Energy, Elsevier, vol. 193(C), pages 595-607.
    • Handle: RePEc:eee:renene:v:193:y:2022:i:c:p:595-607
    DOI: 10.1016/j.renene.2022.05.043
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122006851
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.05.043?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. Xu, Z.Y. & Wang, R.Z. & Yang, Chun, 2019. "Perspectives for low-temperature waste heat recovery," Energy, Elsevier, vol. 176(C), pages 1037-1043.
    2. Ni, Jiaxin & Zhao, Li & Zhang, Zhengtao & Zhang, Ying & Zhang, Jianyuan & Deng, Shuai & Ma, Minglu, 2018. "Dynamic performance investigation of organic Rankine cycle driven by solar energy under cloudy condition," Energy, Elsevier, vol. 147(C), pages 122-141.
    3. Imran, Muhammad & Haglind, Fredrik & Lemort, Vincent & Meroni, Andrea, 2019. "Optimization of organic rankine cycle power systems for waste heat recovery on heavy-duty vehicles considering the performance, cost, mass and volume of the system," Energy, Elsevier, vol. 180(C), pages 229-241.
    4. Vera, D. & Baccioli, A. & Jurado, F. & Desideri, U., 2020. "Modeling and optimization of an ocean thermal energy conversion system for remote islands electrification," Renewable Energy, Elsevier, vol. 162(C), pages 1399-1414.
    5. Adriano Desideri & Bertrand Dechesne & Jorrit Wronski & Martijn Van den Broek & Sergei Gusev & Vincent Lemort & Sylvain Quoilin, 2016. "Comparison of Moving Boundary and Finite-Volume Heat Exchanger Models in the Modelica Language," Energies, MDPI, vol. 9(5), pages 1-18, May.
    6. Yang, Min-Hsiung & Yeh, Rong-Hua, 2014. "Analysis of optimization in an OTEC plant using organic Rankine cycle," Renewable Energy, Elsevier, vol. 68(C), pages 25-34.
    7. Liu, Changwei & Gao, Tieyu, 2019. "Off-design performance analysis of basic ORC, ORC using zeotropic mixtures and composition-adjustable ORC under optimal control strategy," Energy, Elsevier, vol. 171(C), pages 95-108.
    8. Xu, Bin & Rathod, Dhruvang & Kulkarni, Shreyas & Yebi, Adamu & Filipi, Zoran & Onori, Simona & Hoffman, Mark, 2017. "Transient dynamic modeling and validation of an organic Rankine cycle waste heat recovery system for heavy duty diesel engine applications," Applied Energy, Elsevier, vol. 205(C), pages 260-279.
    9. Liu, Weimin & Xu, Xiaojian & Chen, Fengyun & Liu, Yanjun & Li, Shizhen & Liu, Lei & Chen, Yun, 2020. "A review of research on the closed thermodynamic cycles of ocean thermal energy conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    10. Quoilin, Sylvain & Aumann, Richard & Grill, Andreas & Schuster, Andreas & Lemort, Vincent & Spliethoff, Hartmut, 2011. "Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles," Applied Energy, Elsevier, vol. 88(6), pages 2183-2190, June.
    11. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).
    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. Ahmed Elkhatat & Shaheen A. Al-Muhtaseb, 2023. "Combined “Renewable Energy–Thermal Energy Storage (RE–TES)” Systems: A Review," Energies, MDPI, vol. 16(11), pages 1-46, June.
    2. Fan, Chengcheng & Wu, Zhe & Wang, Jiadian & Chen, Yongping & Zhang, Chengbin, 2023. "Thermodynamic process control of ocean thermal energy conversion," Renewable Energy, Elsevier, vol. 210(C), pages 810-821.

    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. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).
    2. Attila R. Imre & Sindu Daniarta & Przemysław Błasiak & Piotr Kolasiński, 2023. "Design, Integration, and Control of Organic Rankine Cycles with Thermal Energy Storage and Two-Phase Expansion System Utilizing Intermittent and Fluctuating Heat Sources—A Review," Energies, MDPI, vol. 16(16), pages 1-25, August.
    3. Fan, Chengcheng & Wu, Zhe & Wang, Jiadian & Chen, Yongping & Zhang, Chengbin, 2023. "Thermodynamic process control of ocean thermal energy conversion," Renewable Energy, Elsevier, vol. 210(C), pages 810-821.
    4. Cai, Jinwen & Shu, Gequn & Tian, Hua & Wang, Xuan & Wang, Rui & Shi, Xiaolei, 2020. "Validation and analysis of organic Rankine cycle dynamic model using zeotropic mixture," Energy, Elsevier, vol. 197(C).
    5. Huster, Wolfgang R. & Vaupel, Yannic & Mhamdi, Adel & Mitsos, Alexander, 2018. "Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck," Energy, Elsevier, vol. 151(C), pages 647-661.
    6. Li, Zhi & Wang, Lei & Jiang, Ruicheng & Wang, Bingzheng & Yu, Xiaonan & Huang, Rui & Yu, Xiaoli, 2022. "Experimental investigations on dynamic performance of organic Rankine cycle integrated with latent thermal energy storage under transient engine conditions," Energy, Elsevier, vol. 246(C).
    7. Michael Chukwuemeka Ekwonu & Mirae Kim & Binqi Chen & Muhammad Tauseef Nasir & Kyung Chun Kim, 2023. "Dynamic Simulation of Partial Load Operation of an Organic Rankine Cycle with Two Parallel Expanders," Energies, MDPI, vol. 16(1), pages 1-18, January.
    8. Rijpkema, Jelmer & Erlandsson, Olof & Andersson, Sven B. & Munch, Karin, 2022. "Exhaust waste heat recovery from a heavy-duty truck engine: Experiments and simulations," Energy, Elsevier, vol. 238(PB).
    9. Pili, Roberto & Bojer Jørgensen, Søren & Haglind, Fredrik, 2022. "Multi-objective optimization of organic Rankine cycle systems considering their dynamic performance," Energy, Elsevier, vol. 246(C).
    10. Cai, Jinwen & Tian, Hua & Wang, Xuan & Wang, Rui & Shu, Gequn & Wang, Mingtao, 2021. "A calibrated organic Rankine cycle dynamic model applying to subcritical system and transcritical system," Energy, Elsevier, vol. 237(C).
    11. Xu, Bin & Rathod, Dhruvang & Yebi, Adamu & Filipi, Zoran, 2020. "Real-time realization of Dynamic Programming using machine learning methods for IC engine waste heat recovery system power optimization," Applied Energy, Elsevier, vol. 262(C).
    12. Vaupel, Yannic & Huster, Wolfgang R. & Holtorf, Flemming & Mhamdi, Adel & Mitsos, Alexander, 2019. "Analysis and improvement of dynamic heat exchanger models for nominal and start-up operation," Energy, Elsevier, vol. 169(C), pages 1191-1201.
    13. Roberto Pili & Hartmut Spliethoff & Christoph Wieland, 2017. "Dynamic Simulation of an Organic Rankine Cycle—Detailed Model of a Kettle Boiler," Energies, MDPI, vol. 10(4), pages 1-28, April.
    14. Pili, Roberto & Romagnoli, Alessandro & Jiménez-Arreola, Manuel & Spliethoff, Hartmut & Wieland, Christoph, 2019. "Simulation of Organic Rankine Cycle – Quasi-steady state vs dynamic approach for optimal economic performance," Energy, Elsevier, vol. 167(C), pages 619-640.
    15. Jiménez-Arreola, Manuel & Pili, Roberto & Wieland, Christoph & Romagnoli, Alessandro, 2018. "Analysis and comparison of dynamic behavior of heat exchangers for direct evaporation in ORC waste heat recovery applications from fluctuating sources," Applied Energy, Elsevier, vol. 216(C), pages 724-740.
    16. Jiménez-Arreola, Manuel & Wieland, Christoph & Romagnoli, Alessandro, 2019. "Direct vs indirect evaporation in Organic Rankine Cycle (ORC) systems: A comparison of the dynamic behavior for waste heat recovery of engine exhaust," Applied Energy, Elsevier, vol. 242(C), pages 439-452.
    17. Daniarta, Sindu & Nemś, Magdalena & Kolasiński, Piotr, 2023. "A review on thermal energy storage applicable for low- and medium-temperature organic Rankine cycle," Energy, Elsevier, vol. 278(PA).
    18. Shi, Yao & Zhang, Zhiming & Xie, Lei & Wu, Xialai & Liu, Xueqin Amy & Lu, Shan & Su, Hongye, 2022. "Modified hierarchical strategy for transient performance improvement of the ORC based waste heat recovery system," Energy, Elsevier, vol. 261(PA).
    19. Guillermo Lopez & Maria de los Angeles Ortega Del Rosario & Arthur James & Humberto Alvarez, 2022. "Site Selection for Ocean Thermal Energy Conversion Plants (OTEC): A Case Study in Panama," Energies, MDPI, vol. 15(9), pages 1-24, April.
    20. Zhang, Ji & Zhang, Xiaomeng & Zhang, Zhixiang & Zhou, Peilin & Zhang, Yan & Yuan, Han, 2022. "Performance improvement of ocean thermal energy conversion organic Rankine cycle under temperature glide effect," Energy, Elsevier, vol. 246(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:renene:v:193:y:2022:i:c:p:595-607. 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/renewable-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.