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Renewable energy production is a basic supplement to stabilize rapidly increasing global energy demand and skyrocketing
energy price as well as to balance the fluctuation of supply from non-renewable energy sources at electrical grid hubs. The
European energy traders, government and private company energy providers and other stakeholders have been, since recently, a
major beneficiary, customer and clients of Hydropower simulation solutions.
The relationship between rainfall-runoff model outputs and energy productions of hydropower plants has not been clearly
studied. In this research, association of rainfall, catchment characteristics, river network and runoff with energy production of a
particular hydropower station is examined.
The essence of this study is to justify the correspondence between runoff extracted from calibrated catchment and energy
production of hydropower plant located at a catchment outlet; to employ a unique technique to convert runoff to energy based
on statistical and graphical trend analysis of the two, and to provide environment for energy forecast.
For rainfall-runoff model setup and calibration, MIKE 11 NAM model is applied, meanwhile MIKE 11 SO model is used to
track, adopt and set a control strategy at hydropower location for runoff-energy correlation. The model is tested at two selected
micro run-of-river hydropower plants located in South Germany. Two consecutive calibration is compromised to test the model;
one for rainfall-runoff model and other for energy simulation.
Calibration results and supporting verification plots of two case studies indicated that simulated discharge and energy
production is comparable with the measured discharge and energy production respectively.
Frezer Seid Awol, a young water professional born in Ethiopia, has completed his B.Sc. degree in Water Resources Engineering from Stuttgart
University, Germany, in January 2012. He is currently serving as a Hydrologist and Water Resource Modeler at SMEC International Pty. Ltd in
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