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Simulated Annealing in Optimization of Energy Production in a Water Supply Network

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  • Irene Samora
  • Mário Franca
  • Anton Schleiss
  • Helena Ramos

Abstract

In water supply systems, the potential exists for micro-hydropower that uses the pressure excess in the networks to produce electricity. However, because urban drinking water networks are complex systems in which flows and pressure vary constantly, identification of the ideal locations for turbines is not straightforward, and assessment implies the need for simulation. In this paper, an optimization algorithm is proposed to provide a selection of optimal locations for the installation of a given number of turbines in a distribution network. A simulated annealing process was developed to optimize the location of the turbines by taking into account the hourly variation of flows throughout an average year and the consequent impact of this variation on the turbine efficiency. The optimization is achieved by considering the characteristic and efficiency curves of a turbine model for different impeller diameters as well as simulations of the annual energy production in a coupled hydraulic model. The developed algorithm was applied to the water supply system of the city Lausanne (Switzerland). This work focuses on the definition of the neighborhood of the simulated annealing process and the analysis of convergence towards the optimal solution for different restrictions and numbers of installed turbines. Copyright Springer Science+Business Media Dordrecht 2016

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  • Irene Samora & Mário Franca & Anton Schleiss & Helena Ramos, 2016. "Simulated Annealing in Optimization of Energy Production in a Water Supply Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1533-1547, March.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:4:p:1533-1547
    DOI: 10.1007/s11269-016-1238-5
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    References listed on IDEAS

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    Cited by:

    1. Hamlehdar, Maryam & Yousefi, Hossein & Noorollahi, Younes & Mohammadi, Mohammad, 2022. "Energy recovery from water distribution networks using micro hydropower: A case study in Iran," Energy, Elsevier, vol. 252(C).
    2. Davi Edson Sales Souza & André Luiz Amarante Mesquita & Claudio José Cavalcante Blanco, 2023. "Pressure Regulation in a Water Distribution Network Using Pumps as Turbines at Variable Speed for Energy Recovery," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1183-1206, February.
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    5. Carravetta, A. & Fecarotta, O. & Ramos, H.M., 2018. "A new low-cost installation scheme of PATs for pico-hydropower to recover energy in residential areas," Renewable Energy, Elsevier, vol. 125(C), pages 1003-1014.
    6. Boroomandnia, Arezoo & Rismanchi, Behzad & Wu, Wenyan, 2022. "A review of micro hydro systems in urban areas: Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    7. Marco van Dijk & Stefanus Johannes van Vuuren & Giovanna Cavazzini & Chantel Monica Niebuhr & Alberto Santolin, 2022. "Optimizing Conduit Hydropower Potential by Determining Pareto-Optimal Trade-Off Curve," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    8. Oreste Fecarotta & Aonghus McNabola, 2017. "Optimal Location of Pump as Turbines (PATs) in Water Distribution Networks to Recover Energy and Reduce Leakage," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 5043-5059, December.
    9. Pérez-Sánchez, Modesto & Sánchez-Romero, Francisco Javier & López-Jiménez, P. Amparo & Ramos, Helena M., 2018. "PATs selection towards sustainability in irrigation networks: Simulated annealing as a water management tool," Renewable Energy, Elsevier, vol. 116(PA), pages 234-249.
    10. Stefanizzi, Michele & Capurso, Tommaso & Balacco, Gabriella & Binetti, Mario & Camporeale, Sergio Mario & Torresi, Marco, 2020. "Selection, control and techno-economic feasibility of Pumps as Turbines in Water Distribution Networks," Renewable Energy, Elsevier, vol. 162(C), pages 1292-1306.
    11. Amir Hatamkhani & Ali Moridi, 2019. "Multi-Objective Optimization of Hydropower and Agricultural Development at River Basin Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4431-4450, October.
    12. Gideon Johannes Bonthuys & Marco van Dijk & Giovanna Cavazzini, 2021. "Optimizing the Potential Impact of Energy Recovery and Pipe Replacement on Leakage Reduction in a Medium Sized District Metered Area," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    13. Khalid Abdulaziz Alnowibet & Salem Mahdi & Mahmoud El-Alem & Mohamed Abdelawwad & Ali Wagdy Mohamed, 2022. "Guided Hybrid Modified Simulated Annealing Algorithm for Solving Constrained Global Optimization Problems," Mathematics, MDPI, vol. 10(8), pages 1-25, April.
    14. Lima, Gustavo Meirelles & Luvizotto, Edevar & Brentan, Bruno M., 2017. "Selection and location of Pumps as Turbines substituting pressure reducing valves," Renewable Energy, Elsevier, vol. 109(C), pages 392-405.
    15. Thomas Pirard & Vasileios Kitsikoudis & Sebastien Erpicum & Michel Pirotton & Pierre Archambeau & Benjamin Dewals, 2022. "Discharge Redistribution as a Key Process for Heuristic Optimization of Energy Production with Pumps as Turbines in a Water Distribution Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1237-1250, March.
    16. Luo, Xilin & Duan, Huiming & He, Leiyuhang, 2020. "A Novel Riccati Equation Grey Model And Its Application In Forecasting Clean Energy," Energy, Elsevier, vol. 205(C).
    17. Khalid Abdulaziz Alnowibet & Salem Mahdi & Ahmad M. Alshamrani & Karam M. Sallam & Ali Wagdy Mohamed, 2022. "A Family of Hybrid Stochastic Conjugate Gradient Algorithms for Local and Global Minimization Problems," Mathematics, MDPI, vol. 10(19), pages 1-37, October.
    18. Mercedes Garcia, Angel V. & Sánchez-Romero, Francisco Javier & López-Jiménez, P. Amparo & Pérez-Sánchez, Modesto, 2022. "A new optimization approach for the use of hybrid renewable systems in the search of the zero net energy consumption in water irrigation systems," Renewable Energy, Elsevier, vol. 195(C), pages 853-871.
    19. Duan, Huiming & Liu, Yunmei & Wang, Guan, 2022. "A novel dynamic time-delay grey model of energy prices and its application in crude oil price forecasting," Energy, Elsevier, vol. 251(C).

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