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Development of a New Simulation Model for the Reservoir Hydropower Generation

Author

Listed:
  • Rahim Zahedi

    (University of Tehran)

  • Reza Eskandarpanah

    (Islamic Azad University Science and Research Branch)

  • Mohammadhossein Akbari

    (Islamic Azad University Science and Research Branch)

  • Nima Rezaei

    (Islamic Azad University Science and Research Branch)

  • Paniz Mazloumin

    (Islamic Azad University)

  • Omid Noudeh Farahani

    (Faran Mehr Danesh University)

Abstract

Hydroelectric power development plans are of great importance in today’s world, due to the urgency of access to clean energy resources. Hydroelectric power plants are great potentials for power generation around the world which produce less environmental problems. Hydroelectric power energy has covered 24% of the electrical energy in 2013. The proportion of this kind of energy is increasing rapidly. The amount of energy produced in different seasons of the year and different hours of the day is one of the most important issues in water plants. In other words, determining the capacity of installation (design discharge) is one of the important factors in the design of power plants. In this research, a developed algorithm for simulating hydropower energy production has been developed using MATLAB application. This developed model has been used for hydropower modeling. In such a situation, simulating energy production of the dam has been conducted for different power plant installation capacity and finally with applying reliability index of 90%, the installation capacity of the power plant equals 2.7 Kilowatt. In this installation capacity, initial energy and surplus has occurred in most months. Furthermore, in 33% of cases that the reservoir is in its maximum balance, surplus energy has been generated. Moreover, the scale of initial energy and the average surplus energy respectively equals to 20.80 and 13.2 Gigawatt hours annually on 24-h basis. By changing the input variables, this algorithm and the developed model can be applied in any single hydropower reservoir system.

Suggested Citation

  • Rahim Zahedi & Reza Eskandarpanah & Mohammadhossein Akbari & Nima Rezaei & Paniz Mazloumin & Omid Noudeh Farahani, 2022. "Development of a New Simulation Model for the Reservoir Hydropower Generation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2241-2256, May.
  • Handle: RePEc:spr:waterr:v:36:y:2022:i:7:d:10.1007_s11269-022-03138-9
    DOI: 10.1007/s11269-022-03138-9
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    References listed on IDEAS

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    1. Soe Thiha & Asaad Y. Shamseldin & Bruce W. Melville, 2022. "Improving the Summer Power Generation of a Hydropower Reservoir Using the Modified Multi-Step Ahead Time-Varying Hedging Rule," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 853-873, February.
    2. Rafael M. Almeida & Qinru Shi & Jonathan M. Gomes-Selman & Xiaojian Wu & Yexiang Xue & Hector Angarita & Nathan Barros & Bruce R. Forsberg & Roosevelt García-Villacorta & Stephen K. Hamilton & John M., 2019. "Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    3. Soe Thiha & Asaad Y. Shamseldin & Bruce W. Melville, 2022. "Correction to: Improving the Summer Power Generation of a Hydropower Reservoir Using the Modified Multi‑Step Ahead Time‑Varying Hedging Rule," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2889-2889, June.
    4. Mojgan Dianatikhah & Hojat Karami & Khosrow Hosseini, 2020. "Generation of Clean Hydropower Energy in Multi-Reservoir Systems Based on a New Evolutionary Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1247-1264, February.
    5. Jose M. Gonzalez & Marcelo A. Olivares & Josué Medellín-Azuara & Rodrigo Moreno, 2020. "Multipurpose Reservoir Operation: a Multi-Scale Tradeoff Analysis between Hydropower Generation and Irrigated Agriculture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2837-2849, July.
    6. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    7. Omid Bozorg Haddad & Abbas Afshar & Miguel Mariño, 2008. "Design-Operation of Multi-Hydropower Reservoirs: HBMO Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1709-1722, December.
    8. Yousif H. Al-Aqeeli & Omar M. A Mahmood Agha, 2020. "Optimal Operation of Multi-reservoir System for Hydropower Production Using Particle Swarm Optimization Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3099-3112, August.
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