Performance of Operational Inflow Forecasting System for Hydropower Reservoir
The inflow forecasting system is an essential tool to assist dam owners in decision making and planning. Effective and optimized hydropower reservoir operation, monitor and forecast inflows and lake level to provide benefits in maximizing energy revenue, while taking into account dam safety risks. The Temengor Inflow Forecasting System for Temengor dam was developed in a robust system that runs on a real-time modeling platform. Reservoir inflow forecast results must be able to provide a timely and accurate forecast for appropriate reservoir management. Thus, it is essential to monitor the performance of the forecasting system to ensure the developed system is performing to its maximum potential. This paper discussed the performance of the Temengor inflow forecasting system. In general, the comparison of forecast model results with observed data shows that the model is able to provide good forecast accuracy. Continuous model performance monitoring enables reliable forecast results, which can be used for future resource availability for hydropower generation and advance warning of water-related disasters such as a flood.
KeywordsInflow forecasting Hydropower Dam Reservoir Temengor
The study is supported by Tenaga Nasional Berhad in collaboration with SSJ Sg Perak, TNB Research Sdn Bhd. and Entura Hydro Tasmania. The authors also would like to acknowledge the support from the Malaysian Ministry of Higher Education in the form of the Fundamental Research Grant Scheme 20170106FRGS.
- 3.Razali, J., Sidek, L.M., Rashid, M.A., Hussein, A., Marufuzzaman, M.: Probable maximum precipitation comparison using hershfield’s statistical method and hydro-meteorological method for Sungai Perak Hydroelectric scheme. Int. J. Eng. Technol. (UAE) 7(4), 603–608 (2018)Google Scholar
- 4.Al-Ani, I.A.R., Sidek, L.M., Basri, N.E.A.: Expert system for mitigating erosion and sedimentation due to storm water during construction activities in Malaysia. Eur. J. Sci. Res. 38(1), 38–44 (2009)Google Scholar
- 12.Sidek, L.M., Al-Ani, I.A.R., DESA, M.N.M., Basri, N.E.A.: Knowledge-based expert system for stormwater management in Malaysia. J. Environ. Sci. Technol. 5(5), 381–388 (2014)Google Scholar
- 16.WMO, W.: Manual on flood forecasting and warning. WMO, No. 1072 (2011)Google Scholar