Hydrometeorological monitoring for hydropower reservoirs in remote areas

2019 9th International Conference on Future Environment and Energy

生态环境科学;能源学

Basri, H.^1 ; Sidek, L.M.^1 ; Chua, L.H.C.^2 ; Abdul Razad, A.Z.^3 ; Kamarulzaman, M.S.^4

Civil Engineering Department, College of Engineering, and Sustainable Technology and Environment Group, Institute of Energy Infrastructure, Universiti Tenaga Nasional, Malaysia^1

School of Engineering, Faculty of Science Engineering and Built Environment, Deakin University, 75 Pigdons Road, Waurn Ponds

VIC

3220, Australia^2

TNB Research Sdn Bhd, Malaysia^3

SCADA and Instrumentation Engineer, Tenaga Nasional Berhad, Malaysia^4

关键词: Communication technologies;    Decision support modules;    Essential elements;    Forecasting system;    Forested catchments;    Hydrometric networks;    Hydropower reservoirs;    Operational requirements;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/257/1/012009/pdf
DOI  :  10.1088/1755-1315/257/1/012009

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Operational hydrometric network is an essential element in hydropower reservoir operation. The data collected, to be used for reservoir management and decision making require high reliability with automatic data monitoring, processing and retrieval. However, the unique characteristic of every catchment and operational requirements raises the need to balance hydrometeorological monitoring objectives and site desirability. This paper describes the overall component of the Temengor Inflow Forecasting System developed as part of a decision support module for optimised hydropower dam operation for the Temengor Hydropower Dam system in Malaysia. The equipment used and challenges faced in deployment in a densely forested catchment in the Sungei Perak basin are discussed. The siting of the hydrometeorological network was made based on World Meterological Organisation guidelines and state of the art communication technology was utilized in overcoming accessibility to our monitoring sites. The real time data on power generation, river and reservoir level, rainfall that were collected are presented in this paper.