IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i15p3015-d254936.html
   My bibliography  Save this article

Economic Health-Aware LPV-MPC Based on System Reliability Assessment for Water Transport Network

Author

Listed:
  • Fatemeh Karimi Pour

    (Automatic Control Department, Universitat Politècnica de Catalunya Institut de Robòtica i Informàtica Industrial (CSIC-UPC), C/. Llorens i Artigas 4-6, 08028 Barcelona, Spain)

  • Vicenç Puig

    (Automatic Control Department, Universitat Politècnica de Catalunya Institut de Robòtica i Informàtica Industrial (CSIC-UPC), C/. Llorens i Artigas 4-6, 08028 Barcelona, Spain)

  • Gabriela Cembrano

    (Automatic Control Department, Universitat Politècnica de Catalunya Institut de Robòtica i Informàtica Industrial (CSIC-UPC), C/. Llorens i Artigas 4-6, 08028 Barcelona, Spain
    Cetaqua, Water Technology Centre, Ctra. d’Esplugues 75, Cornellà de Llobregat, 08940 Barcelona, Spain)

Abstract

This paper proposes a health-aware control approach for drinking water transport networks. This approach is based on an economic model predictive control (MPC) that considers an additional goal with the aim of extending the components and system reliability. The components and system reliability are incorporated into the MPC model using a Linear Parameter Varying (LPV) modeling approach. The MPC controller uses additionally an economic objective function that determines the optimal filling/emptying sequence of the tanks considering that electricity price varies between day and night and that the demand also follows a 24-h repetitive pattern. The proposed LPV-MPC control approach allows considering the model nonlinearities by embedding them in the parameters. The values of these varying parameters are updated at each iteration taking into account the new values of the scheduling variables. In this way, the optimization problem associated with the MPC problem is solved by means of Quadratic Programming (QP) to avoid the use of nonlinear programming. This iterative approach reduces the computational load compared to the solution of a nonlinear optimization problem. A case study based on the Barcelona water transport network is used for assessing the proposed approach performance.

Suggested Citation

  • Fatemeh Karimi Pour & Vicenç Puig & Gabriela Cembrano, 2019. "Economic Health-Aware LPV-MPC Based on System Reliability Assessment for Water Transport Network," Energies, MDPI, vol. 12(15), pages 1-21, August.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:3015-:d:254936
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/15/3015/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/15/3015/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiang, R. & Jardine, A.K.S., 2008. "Health state evaluation of an item: A general framework and graphical representation," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 89-99.
    2. Symeon Christodoulou, 2011. "Water Network Assessment and Reliability Analysis by Use of Survival Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(4), pages 1229-1238, March.
    3. Chamseddine, Abbas & Theilliol, Didier & Sadeghzadeh, Iman & Zhang, Youmin & Weber, Philippe, 2014. "Optimal reliability design for over-actuated systems based on the MIT rule: Application to an octocopter helicopter testbed," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 196-206.
    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. Tan Yigitcanlar & Hoon Han & Md. Kamruzzaman, 2019. "Approaches, Advances, and Applications in the Sustainable Development of Smart Cities: A Commentary from the Guest Editors," Energies, MDPI, vol. 12(23), pages 1-11, November.
    2. Tsoumpris, Charalampos & Theotokatos, Gerasimos, 2023. "A decision-making approach for the health-aware energy management of ship hybrid power plants," Reliability Engineering and System Safety, Elsevier, vol. 235(C).

    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. Agathoklis Agathokleous & Chrystalleni Christodoulou & Symeon E. Christodoulou, 2017. "Topological Robustness and Vulnerability Assessment of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 4007-4021, September.
    2. Yaping Li & Enrico Zio & Ershun Pan, 2021. "An MEWMA-based segmental multivariate hidden Markov model for degradation assessment and prediction," Journal of Risk and Reliability, , vol. 235(5), pages 831-844, October.
    3. A Brint & J Bridgeman & M Black, 2009. "The rise, current position and future direction of asset management in utility industries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 106-113, May.
    4. Hao, Zhifeng & Yeh, Wei-Chang & Tan, Shi-Yi, 2021. "One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. Jiang, R., 2010. "Optimization of alarm threshold and sequential inspection scheme," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 208-215.
    6. de Jonge, Bram & Teunter, Ruud & Tinga, Tiedo, 2017. "The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 21-30.
    7. Kabir, Golam & Tesfamariam, Solomon & Sadiq, Rehan, 2015. "Predicting water main failures using Bayesian model averaging and survival modelling approach," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 498-514.
    8. Symeon Christodoulou & Anastasis Gagatsis & Savvas Xanthos & Sofia Kranioti & Agathoklis Agathokleous & Michalis Fragiadakis, 2013. "Entropy-Based Sensor Placement Optimization for Waterloss Detection in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4443-4468, October.
    9. M. Tabesh & H. Saber, 2012. "A Prioritization Model for Rehabilitation of Water Distribution Networks Using GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 225-241, January.
    10. Samet Ozturk & Vasilis Fthenakis & Stefan Faulstich, 2018. "Assessing the Factors Impacting on the Reliability of Wind Turbines via Survival Analysis—A Case Study," Energies, MDPI, vol. 11(11), pages 1-20, November.
    11. Sungsik Yoon & Young-Joo Lee & Hyung-Jo Jung, 2020. "Flow-Based Optimal System Design of Urban Water Transmission Network under Seismic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1971-1990, April.
    12. El Hassene Ait Mokhtar & Radouane Laggoune & Alaa Chateauneuf, 2016. "Utility-Based Maintenance Optimization for Complex Water-Distribution Systems Using Bayesian Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4153-4170, September.
    13. Marek Teichmann & Dagmar Kuta & Stanislav Endel & Natalie Szeligova, 2020. "Modeling and Optimization of the Drinking Water Supply Network—A System Case Study from the Czech Republic," Sustainability, MDPI, vol. 12(23), pages 1-21, November.
    14. Chen, Xingyu & Yang, Qingyu & Wu, Xin, 2022. "Nonlinear degradation model and reliability analysis by integrating image covariate," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    15. Jiang, R., 2013. "A multivariate CBM model with a random and time-dependent failure threshold," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 178-185.
    16. Gajpal, Yuvraj & Nourelfath, Mustapha, 2015. "Two efficient heuristics to solve the integrated load distribution and production planning problem," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 204-214.
    17. Michalis Fragiadakis & Symeon Christodoulou & Dimitrios Vamvatsikos, 2013. "Reliability Assessment of Urban Water Distribution Networks Under Seismic Loads," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3739-3764, August.
    18. Symeon E. Christodoulou & Elena Kourti & Agathoklis Agathokleous, 2017. "Waterloss Detection in Water Distribution Networks using Wavelet Change-Point Detection," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 979-994, February.
    19. Salazar, Jean C. & Weber, Philippe & Nejjari, Fatiha & Sarrate, Ramon & Theilliol, Didier, 2017. "System reliability aware Model Predictive Control framework," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 663-672.
    20. Bong Jung & Yves Filion & Barry Adams & Bryan Karney, 2013. "Multi-Objective Design Optimization of Branched Pipeline Systems with Analytical Assessment of Fire Flow Failure Probability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3663-3678, August.

    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:gam:jeners:v:12:y:2019:i:15:p:3015-:d:254936. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.