PRACTICAL METHODS FOR THE ESTIMATION OF HYDROELECTRIC POWER POTENTIAL OF POORLY GAUGED BASINS

Determining the hydroelectric power potential of ungauged or poorly gauged basins gains importance parallel with the increasing electricity consumption. This study presents some simple methods to predict flow to determine the hydroelectric power potential of poorly gauged basins, such as the precipitation–elevation, average precipitation, and average basin elevation methods. Results of these methods are compared with the available flow measurements. The poorly gauged Solaklı Basin, which is located in Trabzon, in the Eastern Black Sea Region of Turkey, is selected as the pilot area. The hydroelectric power potential of the planned small hydroelectric power plants in this area is estimated using different flow prediction methods.

___

  • [1] Demirbas, A., Sahin-Demirbas, A., Demirbas, A.H., “Turkey's natural gas, hydropower, and geothermal energy policies”, Energy Sources, 26, 3, 237-248, 2004.
  • [2] Upadhyay, D., “Hydropower & Dams Markets of Small Hydropower in Asia”, Small Hydropower Workshop, Villach, 2005.
  • [3] Boughton, W. and Chiew, F., “Estimating runoff in ungauged catchments from rainfall, PET and the AWBM model”, Enviromental Modelling and Software 22, 476-487, 2007.
  • [4] Xu, C.Y., “Estimation of parameters of a conceptual water balance model for ungauged catchments”, Water Resources Management, 13, 353-368, 1999.
  • [5] Vandewiele, G. L. and Elias, A., “Monthly water balance of ungauged catchments obtained by geographical regionalization”, Journal of Hydrology, 170, 277-291, 1995.
  • [6] Kothyari, U.C. and Garde, R.J., “Annual runoff estimation for catchments in India”, Journal of Water. Resources Planning and Management, 117, 1,1-10, 1991.
  • [7] Kumar, A. and Singhal, M.K., “Hydropower assessment for small ungauged catchments in Himalayan region using GIS techniques”, In: Abstracts of the Map Asia 99, New Delhi, 24-26 August 1999.
  • [8] Mwakalila, S., “Estimation of stream flows of ungauged catchments for river basin management”, Physics and Chemistry of the Earth, Parts A/B/C 28, 935–942, 2003.
  • [9] Fırat, M. and Gungor, M., “River estimation using adaptive Neuro Fuzzy Inference System”, Mathematics and Computers in Simulation, 75, 87-96, 2007.
  • [10] Alganci, U., Coskun, H.G., Agiralioglu, N., Usta, G., Cigizoglu, H.K., Aksoy, H., Yilmaz, L., Eris, E. and Dagci, M. “Hydrological modeling of ungauged basins using Remote Sensing and GIS: a case study of Solaklı Watershed in Turkey”, In: Abstracts of the 28th EARSeL Symposium and Workshops, Remote Sensing for a Changing Europe, Istanbul, 2-7 June 2008.
  • [11] Andic, G., “Estimation of monthly runoff and hydroelectric potential in the rivers which have poorly gauging stations”, MSc Thesis, Graduate School of Science, Engineering and Technology Istanbul Technical University, Istanbul (n Turkish), 2007.
  • [12] Ağiralioğlu, N., Ciğizoğlu, H. K., Yilmaz, L., Coşkun, H. G., Aksoy, H., Toprak, Z. F., Eriş, E., Alganci, U., Andiç, G., Usta, G., Beşiktaş, M., Ülken, İ., “Akım ölçümleri olmayan akarsu havzalarında teknik hidroelektrik potansiyelinin belirlenmesi”, TÜBİTAK MAG Proje 106M043, pp.191, 2009.
  • [13] USACE, “Hydropower engineering and design”, EM 1110–2–1701, US Army Corps of Engineers, Washington DC, 1985.