IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v167y2021icp116-131.html
   My bibliography  Save this article

Parallelized Bi-level optimization model with continuous search domain for selection of run-of-river hydropower projects

Author

Listed:
  • Abdelhady, Hazem U.
  • Imam, Yehya E.
  • Shawwash, Ziad
  • Ghanem, Ashraf

Abstract

A comprehensive optimization model was developed to identify the optimal set of non-storage based small hydropower projects (SHP) along a given river reach. The model was based on a greedy genetic algorithm that maximizes net annual benefit. For each project, the model determines intake location, penstock diameter and length, and turbine number and capacity. The novel features in the model include: 1) bi-level optimization that produces robust results, 2) improved search for SHP intake locations, 3) inclusion of turbine number as an explicit optimization variable, and 4) nested optimization modules and parallelized execution. Model performance was assessed through application to the Mamquam River in Canada and the Guder River in Ethiopia. For the Mamquam River, the model identified seven feasible projects. The model provided suggestions for further improvement of one of the two existing SHPs on the river through shifting the intake 1.2 km upstream of the existing intake to provide a greater net benefit. No SHPs have been constructed on the Guder River yet; however, the model suggested 19 potential SHPs that could provide 62% higher annual net benefit compared to the results of a previous model recently applied to the same study area.

Suggested Citation

  • Abdelhady, Hazem U. & Imam, Yehya E. & Shawwash, Ziad & Ghanem, Ashraf, 2021. "Parallelized Bi-level optimization model with continuous search domain for selection of run-of-river hydropower projects," Renewable Energy, Elsevier, vol. 167(C), pages 116-131.
  • Handle: RePEc:eee:renene:v:167:y:2021:i:c:p:116-131
    DOI: 10.1016/j.renene.2020.11.055
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120317985
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2020.11.055?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. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian, 2018. "Optimization of hydropower reservoirs operation balancing generation benefit and ecological requirement with parallel multi-objective genetic algorithm," Energy, Elsevier, vol. 153(C), pages 706-718.
    2. Larentis, Dante G. & Collischonn, Walter & Olivera, Francisco & Tucci, Carlos E.M., 2010. "Gis-based procedures for hydropower potential spotting," Energy, Elsevier, vol. 35(10), pages 4237-4243.
    3. Bonett, Douglas G., 2006. "Confidence interval for a coefficient of quartile variation," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 2953-2957, July.
    4. Moiz, Abdul & Kawasaki, Akiyuki & Koike, Toshio & Shrestha, Maheswor, 2018. "A systematic decision support tool for robust hydropower site selection in poorly gauged basins," Applied Energy, Elsevier, vol. 224(C), pages 309-321.
    5. Palomino Cuya, Daly Grace & Brandimarte, Luigia & Popescu, Ioana & Alterach, Julio & Peviani, Maximo, 2013. "A GIS-based assessment of maximum potential hydropower production in La Plata basin under global changes," Renewable Energy, Elsevier, vol. 50(C), pages 103-114.
    6. Sašo Šantl & Franci Steinman, 2015. "Hydropower Suitability Analysis on a Large Scale Level: Inclusion of a Calibration Phase to Support Determination of Model Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(1), pages 109-123, January.
    7. Ibrahim, Mohamed & Imam, Yehya & Ghanem, Ashraf, 2019. "Optimal planning and design of run-of-river hydroelectric power projects," Renewable Energy, Elsevier, vol. 141(C), pages 858-873.
    8. Petras Punys & Antanas Dumbrauskas & Algis Kvaraciejus & Gitana Vyciene, 2011. "Tools for Small Hydropower Plant Resource Planning and Development: A Review of Technology and Applications," Energies, MDPI, vol. 4(9), pages 1-20, August.
    9. Abbasi, Tasneem & Abbasi, S.A., 2011. "Small hydro and the environmental implications of its extensive utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2134-2143, May.
    10. Yi, Choong-Sung & Lee, Jin-Hee & Shim, Myung-Pil, 2010. "Site location analysis for small hydropower using geo-spatial information system," Renewable Energy, Elsevier, vol. 35(4), pages 852-861.
    11. Aida Tayebiyan & Thamer Ahmed Mohammed Ali & Abdul Halim Ghazali & M. A. Malek, 2016. "Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1203-1216, February.
    12. Tamm, Ottar & Tamm, Toomas, 2020. "Verification of a robust method for sizing and siting the small hydropower run-of-river plant potential by using GIS," Renewable Energy, Elsevier, vol. 155(C), pages 153-159.
    13. Rojanamon, Pannathat & Chaisomphob, Taweep & Bureekul, Thawilwadee, 2009. "Application of geographical information system to site selection of small run-of-river hydropower project by considering engineering/economic/environmental criteria and social impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2336-2348, December.
    14. Voros, N.G. & Kiranoudis, C.T. & Maroulis, Z.B., 2000. "Short-cut design of small hydroelectric plants," Renewable Energy, Elsevier, vol. 19(4), pages 545-563.
    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. Gerardo Alcalá & Luis Fernando Grisales-Noreña & Quetzalcoatl Hernandez-Escobedo & Jose Javier Muñoz-Criollo & J. D. Revuelta-Acosta, 2021. "SHP Assessment for a Run-of-River (RoR) Scheme Using a Rectangular Mesh Sweeping Approach (MSA) Based on GIS," Energies, MDPI, vol. 14(11), pages 1-21, May.
    2. Ninad Bhagwat & Xiaobing Zhou, 2023. "Locating Potential Run-of-River Hydropower Sites by Developing Novel Parsimonious Multi-Dimensional Moving Window (PMMW) Algorithm with Digital Elevation Models," Energies, MDPI, vol. 16(19), pages 1-20, September.

    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. Gerardo Alcalá & Luis Fernando Grisales-Noreña & Quetzalcoatl Hernandez-Escobedo & Jose Javier Muñoz-Criollo & J. D. Revuelta-Acosta, 2021. "SHP Assessment for a Run-of-River (RoR) Scheme Using a Rectangular Mesh Sweeping Approach (MSA) Based on GIS," Energies, MDPI, vol. 14(11), pages 1-21, May.
    2. Anita Kwartnik-Pruc & Aneta Mączyńska, 2022. "Assessing Validity of Employing Surveying Methods to Capture Data on Topography to Determine Hydrological and Topographic Parameters Essential for Selecting Locations for the Construction of Small Hyd," Energies, MDPI, vol. 15(4), pages 1-41, February.
    3. Kelly-Richards, Sarah & Silber-Coats, Noah & Crootof, Arica & Tecklin, David & Bauer, Carl, 2017. "Governing the transition to renewable energy: A review of impacts and policy issues in the small hydropower boom," Energy Policy, Elsevier, vol. 101(C), pages 251-264.
    4. Moiz, Abdul & Kawasaki, Akiyuki & Koike, Toshio & Shrestha, Maheswor, 2018. "A systematic decision support tool for robust hydropower site selection in poorly gauged basins," Applied Energy, Elsevier, vol. 224(C), pages 309-321.
    5. Kuriqi, Alban & Pinheiro, António N. & Sordo-Ward, Alvaro & Garrote, Luis, 2019. "Flow regime aspects in determining environmental flows and maximising energy production at run-of-river hydropower plants," Applied Energy, Elsevier, vol. 256(C).
    6. Soulis, Konstantinos X. & Manolakos, Dimitris & Ntavou, Erika & Kosmadakis, George, 2022. "A geospatial analysis approach for the operational assessment of solar ORC systems. Case study: Performance evaluation of a two-stage solar ORC engine in Greece," Renewable Energy, Elsevier, vol. 181(C), pages 116-128.
    7. Soulis, Konstantinos X. & Manolakos, Dimitris & Anagnostopoulos, John & Papantonis, Dimitris, 2016. "Development of a geo-information system embedding a spatially distributed hydrological model for the preliminary assessment of the hydropower potential of historical hydro sites in poorly gauged areas," Renewable Energy, Elsevier, vol. 92(C), pages 222-232.
    8. Ibrahim, Mohamed & Imam, Yehya & Ghanem, Ashraf, 2019. "Optimal planning and design of run-of-river hydroelectric power projects," Renewable Energy, Elsevier, vol. 141(C), pages 858-873.
    9. Vincenzo Sammartano & Lorena Liuzzo & Gabriele Freni, 2019. "Identification of Potential Locations for Run-of-River Hydropower Plants Using a GIS-Based Procedure," Energies, MDPI, vol. 12(18), pages 1-20, September.
    10. Zaidi, Arjumand Z. & Khan, Majid, 2018. "Identifying high potential locations for run-of-the-river hydroelectric power plants using GIS and digital elevation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 106-116.
    11. A. Palla & I. Gnecco & P. Barbera & M. Ivaldi & D. Caviglia, 2016. "An Integrated GIS Approach to Assess the Mini Hydropower Potential," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 2979-2996, July.
    12. Alexandros Korkovelos & Dimitrios Mentis & Shahid Hussain Siyal & Christopher Arderne & Holger Rogner & Morgan Bazilian & Mark Howells & Hylke Beck & Ad De Roo, 2018. "A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa," Energies, MDPI, vol. 11(11), pages 1-21, November.
    13. Efthymios Moutsiakis & Athena Yiannakou, 2023. "Small Hydroelectric Energy and Spatial Planning: A Methodology Introducing the Concept of Territorial Carrying Capacity," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    14. Calvert, K. & Pearce, J.M. & Mabee, W.E., 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 416-429.
    15. Dhaubanjar, Sanita & Lutz, Arthur F & Pradhananga, Saurav & Smolenaars, Wouter & Khanal, Sonu & Biemans, Hester & Nepal, Santosh & Ludwig, Fulco & Shrestha, Arun Bhakta & Immerzeel, Walter W, 2024. "From theoretical to sustainable potential for run-of-river hydropower development in the upper Indus basin," Applied Energy, Elsevier, vol. 357(C).
    16. Müller, Marc F. & Thompson, Sally E. & Kelly, Maggi N., 2016. "Bridging the information gap: A webGIS tool for rural electrification in data-scarce regions," Applied Energy, Elsevier, vol. 171(C), pages 277-286.
    17. Garegnani, Giulia & Sacchelli, Sandro & Balest, Jessica & Zambelli, Pietro, 2018. "GIS-based approach for assessing the energy potential and the financial feasibility of run-off-river hydro-power in Alpine valleys," Applied Energy, Elsevier, vol. 216(C), pages 709-723.
    18. Tamm, Ottar & Tamm, Toomas, 2020. "Verification of a robust method for sizing and siting the small hydropower run-of-river plant potential by using GIS," Renewable Energy, Elsevier, vol. 155(C), pages 153-159.
    19. Balkhair, Khaled S. & Rahman, Khalil Ur, 2017. "Sustainable and economical small-scale and low-head hydropower generation: A promising alternative potential solution for energy generation at local and regional scale," Applied Energy, Elsevier, vol. 188(C), pages 378-391.
    20. Ioannidou, Christina & O’Hanley, Jesse R., 2018. "Eco-friendly location of small hydropower," European Journal of Operational Research, Elsevier, vol. 264(3), pages 907-918.

    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:167:y:2021:i:c:p:116-131. 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.