IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v272y2019i2p565-573.html
   My bibliography  Save this article

Role of specific energy in decomposition of time-invariant least-cost reservoir filling problem

Author

Listed:
  • Selek, István
  • Ikonen, Enso

Abstract

A mathematical analysis highlighting the decomposition structure of the least-cost reservoir filling problem under time–invariant conditions is provided. It is shown, without loss of generality, that time invariance and unidimensionality of the state variable (for describing the evolution of the hydrodynamic system) are sufficient in order to achieve full (spatial and temporal) decomposition. Using this result, the role of specific energy in finding least–cost operational schedules for reservoir filling in a general “physically meaningful” hydrodynamic system is discussed.

Suggested Citation

  • Selek, István & Ikonen, Enso, 2019. "Role of specific energy in decomposition of time-invariant least-cost reservoir filling problem," European Journal of Operational Research, Elsevier, vol. 272(2), pages 565-573.
  • Handle: RePEc:eee:ejores:v:272:y:2019:i:2:p:565-573
    DOI: 10.1016/j.ejor.2018.06.052
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221718306040
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2018.06.052?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. Ghaddar, Bissan & Claeys, Mathieu & Mevissen, Martin & Eck, Bradley J., 2017. "Polynomial optimization for water networks: Global solutions for the valve setting problem," European Journal of Operational Research, Elsevier, vol. 261(2), pages 450-459.
    2. Rehman, Shafiqur & Al-Hadhrami, Luai M. & Alam, Md. Mahbub, 2015. "Pumped hydro energy storage system: A technological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 586-598.
    3. Steffen, Bjarne & Weber, Christoph, 2016. "Optimal operation of pumped-hydro storage plants with continuous time-varying power prices," European Journal of Operational Research, Elsevier, vol. 252(1), pages 308-321.
    4. D’Ambrosio, Claudia & Lodi, Andrea & Wiese, Sven & Bragalli, Cristiana, 2015. "Mathematical programming techniques in water network optimization," European Journal of Operational Research, Elsevier, vol. 243(3), pages 774-788.
    5. Coelho, B. & Andrade-Campos, A., 2014. "Efficiency achievement in water supply systems—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 59-84.
    6. Ghaddar, Bissan & Naoum-Sawaya, Joe & Kishimoto, Akihiro & Taheri, Nicole & Eck, Bradley, 2015. "A Lagrangian decomposition approach for the pump scheduling problem in water networks," European Journal of Operational Research, Elsevier, vol. 241(2), pages 490-501.
    7. Reca, Juan & García-Manzano, Alfonso & Martínez, Juan, 2015. "Optimal pumping scheduling model considering reservoir evaporation," Agricultural Water Management, Elsevier, vol. 148(C), pages 250-257.
    8. Naoum-Sawaya, Joe & Ghaddar, Bissan & Arandia, Ernesto & Eck, Bradley, 2015. "Simulation-optimization approaches for water pump scheduling and pipe replacement problems," European Journal of Operational Research, Elsevier, vol. 246(1), pages 293-306.
    Full references (including those not matched with items on IDEAS)

    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. Bonvin, Gratien & Demassey, Sophie & Le Pape, Claude & Maïzi, Nadia & Mazauric, Vincent & Samperio, Alfredo, 2017. "A convex mathematical program for pump scheduling in a class of branched water networks," Applied Energy, Elsevier, vol. 185(P2), pages 1702-1711.
    2. Ghaddar, Bissan & Claeys, Mathieu & Mevissen, Martin & Eck, Bradley J., 2017. "Polynomial optimization for water networks: Global solutions for the valve setting problem," European Journal of Operational Research, Elsevier, vol. 261(2), pages 450-459.
    3. Nerantzis, Dimitrios & Pecci, Filippo & Stoianov, Ivan, 2020. "Optimal control of water distribution networks without storage," European Journal of Operational Research, Elsevier, vol. 284(1), pages 345-354.
    4. Xiaoli Feng & Baoyun Qiu & Yongxing Wang, 2020. "Optimizing Parallel Pumping Station Operations in an Open-Channel Water Transfer System Using an Efficient Hybrid Algorithm," Energies, MDPI, vol. 13(18), pages 1-19, September.
    5. Naoum-Sawaya, Joe & Ghaddar, Bissan & Arandia, Ernesto & Eck, Bradley, 2015. "Simulation-optimization approaches for water pump scheduling and pipe replacement problems," European Journal of Operational Research, Elsevier, vol. 246(1), pages 293-306.
    6. A. Candelieri & R. Perego & F. Archetti, 2018. "Bayesian optimization of pump operations in water distribution systems," Journal of Global Optimization, Springer, vol. 71(1), pages 213-235, May.
    7. Shao, Yu & Zhou, Xinhong & Yu, Tingchao & Zhang, Tuqiao & Chu, Shipeng, 2024. "Pump scheduling optimization in water distribution system based on mixed integer linear programming," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1140-1151.
    8. Denise Cariaga & Álvaro Lorca & Miguel F. Anjos, 2024. "A Binary Expansion Approach for the Water Pump Scheduling Problem in Large and High-Altitude Water Supply Systems," Energies, MDPI, vol. 17(16), pages 1-32, August.
    9. D’Ambrosio, Claudia & Lodi, Andrea & Wiese, Sven & Bragalli, Cristiana, 2015. "Mathematical programming techniques in water network optimization," European Journal of Operational Research, Elsevier, vol. 243(3), pages 774-788.
    10. Bissan Ghaddar & Ignacio Gómez-Casares & Julio González-Díaz & Brais González-Rodríguez & Beatriz Pateiro-López & Sofía Rodríguez-Ballesteros, 2023. "Learning for Spatial Branching: An Algorithm Selection Approach," INFORMS Journal on Computing, INFORMS, vol. 35(5), pages 1024-1043, September.
    11. Hypolite, Gautier & Boutin, Olivier & Sole, Sandrine Del & Cloarec, Jean-François & Ferrasse, Jean-Henry, 2023. "Evaluation of a water network’s energy potential in dynamic operation," Energy, Elsevier, vol. 271(C).
    12. Jonathan Fahlbeck & Håkan Nilsson & Saeed Salehi, 2021. "Flow Characteristics of Preliminary Shutdown and Startup Sequences for a Model Counter-Rotating Pump-Turbine," Energies, MDPI, vol. 14(12), pages 1-17, June.
    13. Rashidi, Hamidreza & GhaffarianHoseini, Ali & GhaffarianHoseini, Amirhosein & Nik Sulaiman, Nik Meriam & Tookey, John & Hashim, Nur Awanis, 2015. "Application of wastewater treatment in sustainable design of green built environments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 845-856.
    14. Bohong Wang & Yongtu Liang & Wei Zhao & Yun Shen & Meng Yuan & Zhimin Li & Jian Guo, 2021. "A Continuous Pump Location Optimization Method for Water Pipe Network Design," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 447-464, January.
    15. Pejman Bahramian, 2021. "Integration of wind power into an electricity system using pumped-storage: Economic challenges and stakeholder impacts," Working Paper 1480, Economics Department, Queen's University.
    16. Toufani, Parinaz & Nadar, Emre & Kocaman, Ayse Selin, 2022. "Short-term assessment of pumped hydro energy storage configurations: Up, down, or closed?," Renewable Energy, Elsevier, vol. 201(P1), pages 1086-1095.
    17. Gürsan, C. & de Gooyert, V., 2021. "The systemic impact of a transition fuel: Does natural gas help or hinder the energy transition?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    18. Zi, Dan & Wang, Fujun & Wang, Chaoyue & Huang, Congbin & Shen, Lian, 2021. "Investigation on the air-core vortex in a vertical hydraulic intake system," Renewable Energy, Elsevier, vol. 177(C), pages 1333-1345.
    19. Beuse, Martin & Dirksmeier, Mathias & Steffen, Bjarne & Schmidt, Tobias S., 2020. "Profitability of commercial and industrial photovoltaics and battery projects in South-East-Asia," Applied Energy, Elsevier, vol. 271(C).
    20. Mahmoudimehr, Javad & Shabani, Masoume, 2018. "Optimal design of hybrid photovoltaic-hydroelectric standalone energy system for north and south of Iran," Renewable Energy, Elsevier, vol. 115(C), pages 238-251.

    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:ejores:v:272:y:2019:i:2:p:565-573. 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.elsevier.com/locate/eor .

    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.