| dc.description.abstract | Hydropower is one of the top interest research in renewable energy towards the transition of clean and green energy, therefore, there are increasingly simulation models of hydroelectric power plant with the purpose of examining and predicting the characteristic and behavior of hydropower plant during the different operating conditions. In progress of modelling and simulating, these models need to be verified and optimized to give the high reliable simulation results. Under the vast amount of data, there are some difficulties to filter out the necessary parameters for the simulation and realize unknown source leading to difference between simulation results and reference values, therefore, it requires an organized and systematic method where “Design of Experiments” method are applied.
“Design of Experiments” (DoE) is a powerful data collection and analysis tool with planning, conducting, analyzing and interpreting experiments to evaluate the factors affecting responses of experiments. The main subject of DoE application in this thesis is simulation model of Grunnåi hydropower plant that has been built before by Dymola/Modelica in combination with OpenHPL and OpenIPSL. All of portions of this hydropower plant model are experimented according to DoE procedures with the purpose of model verification and optimization. Through performing these verification experiments, the hydropower plant model
has been optimized and completed.
This thesis presents how to apply DoE method in verifying simulation models of hydropower plant under the vast amount of data as a premise for other verification experiments of associated simulation models in various of engineering field. | |