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Optimization tool for small hydropower plant resource planning and development: A case study

Year 2022, Volume: 8 Issue: 3, 391 - 428, 25.09.2022
https://doi.org/10.28979/jarnas.1083208

Abstract

The dimensions and significance of the modern power systems prove the necessity to change the principles of energy generation and power supply planning and management. In order to decrease carbon dioxide emissions, fight climate change, not being attached to fuel resources, and increase energy security while decreasing dependence on foreign countries, governments of many countries are increasing the share of renewable energy in electricity production and have taken actions to exploit their domestic resources, which is why renewable energy is an essential and important issue in today‘s world and also in the future it may continue to play a globally essential role. The study addresses model applications, optimization techniques, and operational issues. The main goal was devoted to the problem of small-scale hydropower plant control regime optimization. The task of determining small hydropower plant operation conditions is solved by striving for maximum profit by looking at the cases of known variations of prices in the market environment. An optimization tool known as the Quasi-Newton method for nonlinear optimization tasks is used to plan energy generation under uncertainties. The opportunity to apply the Monte-Carlo method for the feasibility study is demonstrated

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Year 2022, Volume: 8 Issue: 3, 391 - 428, 25.09.2022
https://doi.org/10.28979/jarnas.1083208

Abstract

References

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  • Demirtas, O. (2013). Evaluating the best renewable energy technology for sustainable energy planning. International Journal of Energy Economics and Policy, 3(SPECIAL ISSUE), 23–33.
  • Desreumaux, Q., Leconte, R., & Côté, P. (2014). Role of hydrologic information in stochastic dynamic programming: a case study of the Kemano hydropower system in British Columbia. Canadian Journal of Civil Engineering, 41(9), 839–844. https://doi.org/10.1139/cjce-2013-0370
  • Dong, H., Ye, F., & Fu, W. (2019). Stability reliability of a cutting slope in Laohuzui Hydropower Station in Tibet of China. Geomatics, Natural Hazards and Risk, 10(1), 935–957. https://doi.org/10.1080/19475705.2018.1554604
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  • Enoksson, V., & Svedberg, F. (2015). Optimization of hydro power on the Nordic electricity exchange using financial derivatives. Royal Institute of Technology.
  • Erat, S., Telli, A., Ozkendir, O. M., & Demir, B. (2021). Turkey’s energy transition from fossil-based to renewable up to 2030: milestones, challenges and opportunities. Clean Technologies and Environmental Policy, 23(2), 401–412. https://doi.org/10.1007/s10098-020-01949-1
  • Erdin, C., & Ozkaya, G. (2019). Turkey’s 2023 energy strategies and investment opportunities for renewable energy sources: Site selection based on ELECTRE. Sustainability (Switzerland), 11(7). https://doi.org/10.3390/su11072136
  • Fen, Q., Zhang, K., & Smith, B. (2012). Small Hydropower Cost Reference Model (Issue October).
  • Grigoriu, M., Popescu, M. C. (2010). Hydropower Preventive Monitoring Action Plan. In Proceedings of the 5th IASME/WSEAS International Conference on Energy&Environment, Recent Advances in Energy & Environment, Published by WSEAS Press, 265–270.
  • J.C., H. (2006). Technical Basis for Optimizing Hydropower Operations with MS-Excel. Great Wall World Renewable Energy Forum and Exhibition.
  • Jiang, Z., Li, R., Li, A., & Ji, C. (2018). Runoff forecast uncertainty considered load adjustment model of cascade hydropower stations and its application. Energy, 158, 693–708. https://doi.org/10.1016/j.energy.2018.06.083
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There are 77 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Makaleler
Authors

Hasan Huseyin Coban 0000-0002-5284-0568

Antans Sauhats 0000-0001-9794-6078

Early Pub Date September 24, 2022
Publication Date September 25, 2022
Submission Date March 5, 2022
Published in Issue Year 2022 Volume: 8 Issue: 3

Cite

APA Coban, H. H., & Sauhats, A. (2022). Optimization tool for small hydropower plant resource planning and development: A case study. Journal of Advanced Research in Natural and Applied Sciences, 8(3), 391-428. https://doi.org/10.28979/jarnas.1083208
AMA Coban HH, Sauhats A. Optimization tool for small hydropower plant resource planning and development: A case study. JARNAS. September 2022;8(3):391-428. doi:10.28979/jarnas.1083208
Chicago Coban, Hasan Huseyin, and Antans Sauhats. “Optimization Tool for Small Hydropower Plant Resource Planning and Development: A Case Study”. Journal of Advanced Research in Natural and Applied Sciences 8, no. 3 (September 2022): 391-428. https://doi.org/10.28979/jarnas.1083208.
EndNote Coban HH, Sauhats A (September 1, 2022) Optimization tool for small hydropower plant resource planning and development: A case study. Journal of Advanced Research in Natural and Applied Sciences 8 3 391–428.
IEEE H. H. Coban and A. Sauhats, “Optimization tool for small hydropower plant resource planning and development: A case study”, JARNAS, vol. 8, no. 3, pp. 391–428, 2022, doi: 10.28979/jarnas.1083208.
ISNAD Coban, Hasan Huseyin - Sauhats, Antans. “Optimization Tool for Small Hydropower Plant Resource Planning and Development: A Case Study”. Journal of Advanced Research in Natural and Applied Sciences 8/3 (September 2022), 391-428. https://doi.org/10.28979/jarnas.1083208.
JAMA Coban HH, Sauhats A. Optimization tool for small hydropower plant resource planning and development: A case study. JARNAS. 2022;8:391–428.
MLA Coban, Hasan Huseyin and Antans Sauhats. “Optimization Tool for Small Hydropower Plant Resource Planning and Development: A Case Study”. Journal of Advanced Research in Natural and Applied Sciences, vol. 8, no. 3, 2022, pp. 391-28, doi:10.28979/jarnas.1083208.
Vancouver Coban HH, Sauhats A. Optimization tool for small hydropower plant resource planning and development: A case study. JARNAS. 2022;8(3):391-428.


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