Research Article
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Year 2018, , 1326 - 1336, 01.10.2018
https://doi.org/10.16984/saufenbilder.395770

Abstract

References

  • [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– coordination and discrete differential dynamic programming for optimization of larges hydropower system,” Energy Conversion and Management, no. 84, pp. 363-373, 2014.
  • [17] P.Liu, S. Guo, X. Xu, and J. Chen, “Derivation of aggregation-based joint operating rule curves for Cascade hydropower reservoirs, ” Water Resources Management, vol. 25, pp. 3177-3200, 2011.
  • [18] D.P. Loucks and E.V. Beek, “Water resources system planning and managemen,” Paris, United Nations Educational, Scientific and Cultural Organization, 2005.
  • [19] A. M. M .Maas, R. Hufschmidt, H. A. Dorfman , Jr. S. A. Thomas, G. M. Fair. Marglin, “Design of water resources systems,” Harvard University Press, Cambridge, MA, 1962.
  • [20] P. Nopmongcol and A. Askew, “Multi-level incremental dynamic programming,” Water Resources Research, vol. 12, no. 6, pp. 1291-1297, 1997.
  • [21] M. Opan, “Multiobjective optimal operation in multiple reservoir systems,” Ph.D., Thesis, Kocaeli University, 2007.
  • [22] D. Rani and M.M. Moreira, “Simulation-optimization modeling: A survey and potential application in reservoir,” Water Resources Management, no. 24, pp. 1107-1138, 2010.
  • [23] M. Sert, “System optimization in water resources planning,” TUBITAK Marmara Scientific and Industrial Research Institute, Operations Research Department, Press, Kocaeli, Turkey, 1987.
  • [24] M. Sert, M. Öcal, N. Oktay and M. Ertuğrul, “Sakarya Basin optimal energy production project,” TUBITAK Marmara Scientific and Industrial Research Institute, Operations Research Department, Kocaeli, Turkey, 1983.
  • [25] R.S.V. Teegavarapu and S.P. Simonovic, “Simulation of multiple hydropower reservoir operations using system dynamics, Water Resources Management, no. 28, pp. 1937-1958, 2014.
  • [26] S.J Yakowitz. “Dynamic programming applications in water resources,” Water Resources Research, vol. 18, no. 4, pp. 673–696, 1982.
  • [27] W. Yeh, “Reservoir management and optimization models: A state of the art Review,” Water Resources Research, vol. 21, no. 12, pp. 1797–1818, 1985.
  • [28] J. Yi, J. Labadie and S. Stitt, “Dynamic optimal unit commitment and loading in hydropower systems,” Journal of Water Resources Planning and Management, vol. 129, no. 5, pp. 388-398, 2003.
  • [29] J.H. Yoo, “Maximization of hydropower generation through the application of a linear programming model,” Journal of Hydrology, vol. 376, no. 1, pp. 182–187, 2009.
  • [30] G. Young, “Finding reservoir operating rules,” ASCE-Journal of Hydraulics Division, vol.93, no.6, pp. 297-321, 1967.

Optimal Energy Production In The Yeşilirmak River Basin

Year 2018, , 1326 - 1336, 01.10.2018
https://doi.org/10.16984/saufenbilder.395770

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. 

References

  • [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– coordination and discrete differential dynamic programming for optimization of larges hydropower system,” Energy Conversion and Management, no. 84, pp. 363-373, 2014.
  • [17] P.Liu, S. Guo, X. Xu, and J. Chen, “Derivation of aggregation-based joint operating rule curves for Cascade hydropower reservoirs, ” Water Resources Management, vol. 25, pp. 3177-3200, 2011.
  • [18] D.P. Loucks and E.V. Beek, “Water resources system planning and managemen,” Paris, United Nations Educational, Scientific and Cultural Organization, 2005.
  • [19] A. M. M .Maas, R. Hufschmidt, H. A. Dorfman , Jr. S. A. Thomas, G. M. Fair. Marglin, “Design of water resources systems,” Harvard University Press, Cambridge, MA, 1962.
  • [20] P. Nopmongcol and A. Askew, “Multi-level incremental dynamic programming,” Water Resources Research, vol. 12, no. 6, pp. 1291-1297, 1997.
  • [21] M. Opan, “Multiobjective optimal operation in multiple reservoir systems,” Ph.D., Thesis, Kocaeli University, 2007.
  • [22] D. Rani and M.M. Moreira, “Simulation-optimization modeling: A survey and potential application in reservoir,” Water Resources Management, no. 24, pp. 1107-1138, 2010.
  • [23] M. Sert, “System optimization in water resources planning,” TUBITAK Marmara Scientific and Industrial Research Institute, Operations Research Department, Press, Kocaeli, Turkey, 1987.
  • [24] M. Sert, M. Öcal, N. Oktay and M. Ertuğrul, “Sakarya Basin optimal energy production project,” TUBITAK Marmara Scientific and Industrial Research Institute, Operations Research Department, Kocaeli, Turkey, 1983.
  • [25] R.S.V. Teegavarapu and S.P. Simonovic, “Simulation of multiple hydropower reservoir operations using system dynamics, Water Resources Management, no. 28, pp. 1937-1958, 2014.
  • [26] S.J Yakowitz. “Dynamic programming applications in water resources,” Water Resources Research, vol. 18, no. 4, pp. 673–696, 1982.
  • [27] W. Yeh, “Reservoir management and optimization models: A state of the art Review,” Water Resources Research, vol. 21, no. 12, pp. 1797–1818, 1985.
  • [28] J. Yi, J. Labadie and S. Stitt, “Dynamic optimal unit commitment and loading in hydropower systems,” Journal of Water Resources Planning and Management, vol. 129, no. 5, pp. 388-398, 2003.
  • [29] J.H. Yoo, “Maximization of hydropower generation through the application of a linear programming model,” Journal of Hydrology, vol. 376, no. 1, pp. 182–187, 2009.
  • [30] G. Young, “Finding reservoir operating rules,” ASCE-Journal of Hydraulics Division, vol.93, no.6, pp. 297-321, 1967.
There are 30 citations in total.

Details

Primary Language English
Subjects Civil Engineering
Journal Section Research Articles
Authors

Mücahit Opan 0000-0002-5778-389X

Efsun Bacaksız This is me 0000-0002-1301-815X

Publication Date October 1, 2018
Submission Date February 16, 2018
Acceptance Date March 23, 2018
Published in Issue Year 2018

Cite

APA Opan, M., & Bacaksız, E. (2018). Optimal Energy Production In The Yeşilirmak River Basin. Sakarya University Journal of Science, 22(5), 1326-1336. https://doi.org/10.16984/saufenbilder.395770
AMA Opan M, Bacaksız E. Optimal Energy Production In The Yeşilirmak River Basin. SAUJS. October 2018;22(5):1326-1336. doi:10.16984/saufenbilder.395770
Chicago Opan, Mücahit, and Efsun Bacaksız. “Optimal Energy Production In The Yeşilirmak River Basin”. Sakarya University Journal of Science 22, no. 5 (October 2018): 1326-36. https://doi.org/10.16984/saufenbilder.395770.
EndNote Opan M, Bacaksız E (October 1, 2018) Optimal Energy Production In The Yeşilirmak River Basin. Sakarya University Journal of Science 22 5 1326–1336.
IEEE M. Opan and E. Bacaksız, “Optimal Energy Production In The Yeşilirmak River Basin”, SAUJS, vol. 22, no. 5, pp. 1326–1336, 2018, doi: 10.16984/saufenbilder.395770.
ISNAD Opan, Mücahit - Bacaksız, Efsun. “Optimal Energy Production In The Yeşilirmak River Basin”. Sakarya University Journal of Science 22/5 (October 2018), 1326-1336. https://doi.org/10.16984/saufenbilder.395770.
JAMA Opan M, Bacaksız E. Optimal Energy Production In The Yeşilirmak River Basin. SAUJS. 2018;22:1326–1336.
MLA Opan, Mücahit and Efsun Bacaksız. “Optimal Energy Production In The Yeşilirmak River Basin”. Sakarya University Journal of Science, vol. 22, no. 5, 2018, pp. 1326-3, doi:10.16984/saufenbilder.395770.
Vancouver Opan M, Bacaksız E. Optimal Energy Production In The Yeşilirmak River Basin. SAUJS. 2018;22(5):1326-3.

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