IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v146y2020icp1560-1577.html
   My bibliography  Save this article

Maximizing energy production from hydropower dams using short-term weather forecasts

Author

Listed:
  • Ahmad, Shahryar Khalique
  • Hossain, Faisal

Abstract

This study explores the maximization of hydropower generation by optimizing reservoir operations based on short-term inflow forecasts derived from publicly available numerical weather prediction (NWP) models. Forecast fields from the NWP model of Global Forecast System (GFS) were used to force the Variable Infiltration Capacity (VIC) hydrologic model to forecast reservoir inflow for 1–16 days lead time. The optimization of reservoir operations was performed based on the forecast of inflow. The concept was demonstrated for two dams in the United States. Results showed that a significantly greater amount additional hydroelectric energy benefit can be derived consistently than the traditional operations without optimization and weather forecasts. Goals of flood control and dam safety were also not compromised when exploring opportunities for hydropower maximization. An alternate data-based technique was also demonstrated to improve the forecasting skill and efficiency. The study clearly underscores the additional value of weather forecasts that are available publicly and globally from NWP models for any dam location for hydropower maximization. Given the on-going effort to coordinate strategies for sustainable energy production from renewable energy sources, it is timely that this concept be expanded further to current hydropower dam sites around the world.

Suggested Citation

  • Ahmad, Shahryar Khalique & Hossain, Faisal, 2020. "Maximizing energy production from hydropower dams using short-term weather forecasts," Renewable Energy, Elsevier, vol. 146(C), pages 1560-1577.
    • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:1560-1577
    DOI: 10.1016/j.renene.2019.07.126
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119311462
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.07.126?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. Heide, Dominik & von Bremen, Lueder & Greiner, Martin & Hoffmann, Clemens & Speckmann, Markus & Bofinger, Stefan, 2010. "Seasonal optimal mix of wind and solar power in a future, highly renewable Europe," Renewable Energy, Elsevier, vol. 35(11), pages 2483-2489.
    2. Liu, Ming & Tan, Lei & Cao, Shuliang, 2019. "Theoretical model of energy performance prediction and BEP determination for centrifugal pump as turbine," Energy, Elsevier, vol. 172(C), pages 712-732.
    3. Delucchi, Mark A. & Jacobson, Mark Z., 2011. "Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies," Energy Policy, Elsevier, vol. 39(3), pages 1170-1190, March.
    4. Jacobson, Mark Z. & Delucchi, Mark A. & Ingraffea, Anthony R. & Howarth, Robert W. & Bazouin, Guillaume & Bridgeland, Brett & Burkart, Karl & Chang, Martin & Chowdhury, Navid & Cook, Roy & Escher, Giu, 2014. "A roadmap for repowering California for all purposes with wind, water, and sunlight," Energy, Elsevier, vol. 73(C), pages 875-889.
    5. Hao, Yue & Tan, Lei, 2018. "Symmetrical and unsymmetrical tip clearances on cavitation performance and radial force of a mixed flow pump as turbine at pump mode," Renewable Energy, Elsevier, vol. 127(C), pages 368-376.
    6. Liu, Yabin & Tan, Lei, 2018. "Tip clearance on pressure fluctuation intensity and vortex characteristic of a mixed flow pump as turbine at pump mode," Renewable Energy, Elsevier, vol. 129(PA), pages 606-615.
    7. Fang-Fang Li & Jun Qiu, 2015. "Multi-Objective Reservoir Optimization Balancing Energy Generation and Firm Power," Energies, MDPI, vol. 8(7), pages 1-15, July.
    8. Becker, Sarah & Frew, Bethany A. & Andresen, Gorm B. & Zeyer, Timo & Schramm, Stefan & Greiner, Martin & Jacobson, Mark Z., 2014. "Features of a fully renewable US electricity system: Optimized mixes of wind and solar PV and transmission grid extensions," Energy, Elsevier, vol. 72(C), pages 443-458.
    9. Jacobson, Mark Z. & Delucchi, Mark A. & Cameron, Mary A. & Mathiesen, Brian V., 2018. "Matching demand with supply at low cost in 139 countries among 20 world regions with 100% intermittent wind, water, and sunlight (WWS) for all purposes," Renewable Energy, Elsevier, vol. 123(C), pages 236-248.
    10. Egre, Dominique & Milewski, Joseph C., 2002. "The diversity of hydropower projects," Energy Policy, Elsevier, vol. 30(14), pages 1225-1230, November.
    11. M. Reddy & D. Kumar, 2006. "Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 861-878, December.
    12. Deepti Rani & Maria Moreira, 2010. "Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1107-1138, April.
    13. T. Neelakantan & N. Pundarikanthan, 1999. "Hedging Rule Optimisation for Water Supply Reservoirs System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 13(6), pages 409-426, December.
    14. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    15. Vieira, Filipe & Ramos, Helena M., 2009. "Optimization of operational planning for wind/hydro hybrid water supply systems," Renewable Energy, Elsevier, vol. 34(3), pages 928-936.
    16. Kougias, Ioannis & Szabó, Sándor & Monforti-Ferrario, Fabio & Huld, Thomas & Bódis, Katalin, 2016. "A methodology for optimization of the complementarity between small-hydropower plants and solar PV systems," Renewable Energy, Elsevier, vol. 87(P2), pages 1023-1030.
    17. M. Ahmadi & Omid Bozorg Haddad & M. Mariño, 2014. "Extraction of Flexible Multi-Objective Real-Time Reservoir Operation Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 131-147, January.
    18. Asmadi Ahmad & Ahmed El-Shafie & Siti Razali & Zawawi Mohamad, 2014. "Reservoir Optimization in Water Resources: a Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3391-3405, September.
    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. Rashid, Muhammad Usman & Abid, Irfan & Latif, Abid, 2022. "Optimization of hydropower and related benefits through Cascade Reservoirs for sustainable economic growth," Renewable Energy, Elsevier, vol. 185(C), pages 241-254.
    2. Yang, Zhe & Wang, Yufeng & Yang, Kan, 2022. "The stochastic short-term hydropower generation scheduling considering uncertainty in load output forecasts," Energy, Elsevier, vol. 241(C).
    3. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
    4. Saber, Hossein & Mazaheri, Hesam & Ranjbar, Hossein & Moeini-Aghtaie, Moein & Lehtonen, Matti, 2021. "Utilization of in-pipe hydropower renewable energy technology and energy storage systems in mountainous distribution networks," Renewable Energy, Elsevier, vol. 172(C), pages 789-801.
    5. Andrej Predin & Matej Fike & Marko Pezdevšek & Gorazd Hren, 2021. "Lost Energy of Water Spilled over Hydropower Dams," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    6. Vaz, Tiago Gonçalves & Oliveira, Beatriz Brito & Brandão, Luís, 2024. "Optimisation for operational decision-making in a watershed system with interconnected dams," Applied Energy, Elsevier, vol. 367(C).
    7. Ifaei, Pouya & Nazari-Heris, Morteza & Tayerani Charmchi, Amir Saman & Asadi, Somayeh & Yoo, ChangKyoo, 2023. "Sustainable energies and machine learning: An organized review of recent applications and challenges," Energy, Elsevier, vol. 266(C).
    8. Xie, Yuzuo & Guo, Shenglian & Zhong, Sirui & He, Zhipeng & Liu, Pan & Zhou, Yanlai, 2024. "Optimal allocation of flood prevention storage and dynamic operation of water levels to increase cascade reservoir hydropower generation," Renewable Energy, Elsevier, vol. 228(C).
    9. Iram Parvez & Jianjian Shen & Ishitaq Hassan & Nannan Zhang, 2021. "Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant," Energies, MDPI, vol. 14(2), pages 1-28, January.

    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. Valerie Eveloy & Tesfaldet Gebreegziabher, 2018. "A Review of Projected Power-to-Gas Deployment Scenarios," Energies, MDPI, vol. 11(7), pages 1-52, July.
    2. Diesendorf, Mark & Elliston, Ben, 2018. "The feasibility of 100% renewable electricity systems: A response to critics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 318-330.
    3. Maruf, Md. Nasimul Islam, 2021. "Open model-based analysis of a 100% renewable and sector-coupled energy system–The case of Germany in 2050," Applied Energy, Elsevier, vol. 288(C).
    4. Bartlett, Stuart & Dujardin, Jérôme & Kahl, Annelen & Kruyt, Bert & Manso, Pedro & Lehning, Michael, 2018. "Charting the course: A possible route to a fully renewable Swiss power system," Energy, Elsevier, vol. 163(C), pages 942-955.
    5. Jacobson, Mark Z. & Delucchi, Mark A. & Bazouin, Guillaume & Dvorak, Michael J. & Arghandeh, Reza & Bauer, Zack A.F. & Cotte, Ariane & de Moor, Gerrit M.T.H. & Goldner, Elissa G. & Heier, Casey & Holm, 2016. "A 100% wind, water, sunlight (WWS) all-sector energy plan for Washington State," Renewable Energy, Elsevier, vol. 86(C), pages 75-88.
    6. Behrang Beiranvand & Parisa-Sadat Ashofteh, 2023. "A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3457-3526, July.
    7. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
    8. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
    9. Ashfaq, Asad & Ianakiev, Anton, 2018. "Cost-minimised design of a highly renewable heating network for fossil-free future," Energy, Elsevier, vol. 152(C), pages 613-626.
    10. Ashfaq, Asad & Kamali, Zulqarnain Haider & Agha, Mujtaba Hassan & Arshid, Hirra, 2017. "Heat coupling of the pan-European vs. regional electrical grid with excess renewable energy," Energy, Elsevier, vol. 122(C), pages 363-377.
    11. Rossi, Mosè & Nigro, Alessandra & Renzi, Massimiliano, 2019. "Experimental and numerical assessment of a methodology for performance prediction of Pumps-as-Turbines (PaTs) operating in off-design conditions," Applied Energy, Elsevier, vol. 248(C), pages 555-566.
    12. Sinagra, Marco & Aricò, Costanza & Tucciarelli, Tullio & Morreale, Gabriele, 2020. "Experimental and numerical analysis of a backpressure Banki inline turbine for pressure regulation and energy production," Renewable Energy, Elsevier, vol. 149(C), pages 980-986.
    13. Connolly, D. & Lund, H. & Mathiesen, B.V., 2016. "Smart Energy Europe: The technical and economic impact of one potential 100% renewable energy scenario for the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1634-1653.
    14. Rodriguez, Rolando A. & Becker, Sarah & Greiner, Martin, 2015. "Cost-optimal design of a simplified, highly renewable pan-European electricity system," Energy, Elsevier, vol. 83(C), pages 658-668.
    15. Liu, Ming & Tan, Lei & Cao, Shuliang, 2019. "Dynamic mode decomposition of gas-liquid flow in a rotodynamic multiphase pump," Renewable Energy, Elsevier, vol. 139(C), pages 1159-1175.
    16. Zhang, Han & Gao, Xueping & Sun, Bowen & Qin, Zixue & Zhu, Hongtao, 2020. "Parameter analysis and performance optimization for the vertical pipe intake-outlet of a pumped hydro energy storage station," Renewable Energy, Elsevier, vol. 162(C), pages 1499-1518.
    17. Becker, Sarah & Frew, Bethany A. & Andresen, Gorm B. & Jacobson, Mark Z. & Schramm, Stefan & Greiner, Martin, 2015. "Renewable build-up pathways for the US: Generation costs are not system costs," Energy, Elsevier, vol. 81(C), pages 437-445.
    18. J. Yazdi & A. Moridi, 2018. "Multi-Objective Differential Evolution for Design of Cascade Hydropower Reservoir Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4779-4791, November.
    19. Zhang, Yongchao & Kang, Can & Ji, Yanguang & Li, Qing, 2019. "Experimental and numerical investigation of flow patterns and performance of a modified Savonius hydrokinetic rotor," Renewable Energy, Elsevier, vol. 141(C), pages 1067-1079.
    20. Hongyu, Guan & Wei, Jiang & Yuchuan, Wang & Hui, Tian & Ting, Li & Diyi, Chen, 2021. "Numerical simulation and experimental investigation on the influence of the clocking effect on the hydraulic performance of the centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 168(C), pages 21-30.

    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:146:y:2020:i:c:p:1560-1577. 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.