Journals / Sakarya University Journal of Science / 2018 / Cilt: 22 Sayı: 5

Optimal Energy Production In The Yeşilirmak River Basin

Pages
1326–1336
Publication Date
2018-10-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is observed that the optimization process of the reservoirs with the highest operational storage was controlled and managed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Optimal planning and operation of water resources are depend on a complex structure and process that include country economics and life standards.
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Key Findings & Data:Currently, sustainable use and development of water resources to maximize possible benefits are the two big challenges to be overcome and efficient use of hydro power forms a significant component of this.
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Conclusion & Impact:It is observed that the optimization process of the reservoirs with the highest operational storage was controlled and managed.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Multi-Reservoirs System · Optimal Energy Production · Dynamic Programming

Abstract

Optimal planning and operation of water resources are depend on a complex structure and process that include country economics and life standards. Currently, sustainable use and development of water resources to maximize possible benefits are the two big challenges to be overcome and efficient use of hydro power forms a significant component of this. In this study, a water resources system with multi-objectives and multiple reservoirs is described. It is considered to three scenarios in this system. The system is set up on the optimal operation model for the long term planning. The technique of the dynamic programming with successive approximations is used for the model. Objective function in the optimization model has two stage, maximization of firm and total energies. The model is applied to a water resources system with multi-objective and multiple reservoirs presented successively on the main and secondary line of the Yeşilırmak River in the Yeşilırmak River Basin. Results obtained are evaluated to the maximization of the energy production. Accordingly, the firm energy obtained from the optimal operational model for long term planning is presented approximate the value determined by empiric equations, and also the average energy in the model is % 32 better than the value determined by empiric equations. It is observed that the optimization process of the reservoirs with the highest operational storage was controlled and managed.

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Cite This Article

OPAN, M., Bacaksız, E. (2018). Optimal Energy Production In The Yeşilirmak River Basin. Sakarya University Journal of Science, Cilt: 22 Sayı: 5, 1326–1336. https://ajindex.com/articles/942144

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References (16)

  1. J. S. Anagnostopoulos and D. E. Papantonis, “Optimal sizing of a run-of-river small hydropower plant,” Energy Conversion and Management, vol. 48 no.10, pp. 2663–2670, 2007
  2. A. Ahmad, A. El-Shafie, S. F. M. Razali, Z.S. Mohamad, “Reservoir optimization in water resources: A review,” Water Resources Management, vol. 28, pp. 3391-3405, 2014
  3. R. Bellman, “Dynamic programming,” Princeton University Pres, Princeton, N.J., 1957
  4. R. Bellman and S. Dreyfus, “Applied dynamic programming,” Princeton University Pres, Princeton, N.J., 1962
  5. D. De Ladurantaye, M. Gendreau and, J.Y. Potvin, “Optimizing profits from hydroelectricity production,” Computers & Operations Research., vol. 36, pp. 499-529, 2009
  6. General Directorate of State Hydraulic Works (DSİ), 2015
  7. J. Giles and W. Wunderlich, “Weekly multipurpose planning model for TVA reservoir system,” J. Water Resources Planning and Management, vol. 107 no. 2, pp. 495-511, 1981
  8. O. Haddad, M. Moradi-Jalal, and M. A. Mariño, “ Design–operation optimisation of run-of-river power plants,” Proceedings of the Institution of Civil Engineers-Water Management, vol. 164, no.9, pp. 463–475, 2011
  9. W. Hall, R. Harboe, W. Yeh and A. Askew, “ Optimum firm power output from a two reservoir system by incremental dynamic programming, ” Water Research Center, University of California, Los Angeles, 1969
  10. M. Hiedari, V. Chow, P. Kotovic and D. Meredith, “ Discrete differencial dynamic programming approach to water resources system optimization, ” Water Resources Research, vol. 7, no. 2, pp. 2733-282, 1971
  11. W. Huang, C. Murray, N. Kraus, and J. Rosati, “Development of a regional neural retwork for coastal water level predictions,” Ocean Engineering, vol.30, no.17, pp. 2275–2295, 2003
  12. V. Jothiprakash and R. Arunkumar, “Multi-reservoir optimization for hydropower production using NLP technique,” KSCE-Journal of Civil Engineering, vol. 18, no. 1, pp. 344-354, 2014
  13. A. Kangrang and C. Lokham, “Optimal reservoir rule curves considering conditional ant colony optimization with simulation model,” Journal of Applied Sciences, vol.13, no.1, pp. 263-267, 2013
  14. J.W. Labadie, “Optimal operation of multi-reservoir systems: State-Of-The-Art,” Journal of Water Resources Planning and Management, vol. 130, no. 2, pp. 93-111, 2004
  15. R. Larson, “State increment dynamic programming,” Elsevier, New York, 1968
  16. C. Li, J. Zhou, S. Ouyang, X. Ding and L. Chen, “Improved decomposition– coordinati