Hydrometeorological monitoring for hydropower reservoirs in remote areas

Basri, H., Sidek, L.M ., Chua, L., Abdul Razad, A. Z. and Kamarulzaman, M. S. 2019, Hydrometeorological monitoring for hydropower reservoirs in remote areas, in 2019 9th International Conference on Future Environment and Energy, IOP Publishing, Bristol, Eng., doi: 10.1088/1755-1315/257/1/012009.

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Title Hydrometeorological monitoring for hydropower reservoirs in remote areas
Author(s) Basri, H.
Sidek, L.M .
Chua, L.ORCID iD for Chua, L. orcid.org/0000-0003-2523-3735
Abdul Razad, A. Z.
Kamarulzaman, M. S.
Conference name Future Environment and Energy. International Conference (9th : 2019 : Osaka, Japan)
Conference location Osaka, Japan
Conference dates 2019/01/09 - 2019/01/11
Title of proceedings 2019 9th International Conference on Future Environment and Energy
Publication date 2019
Series IOP Conference Series: Earth and Environmental Science
Total pages 12
Publisher IOP Publishing
Place of publication Bristol, Eng.
Summary © Published under licence by IOP Publishing Ltd. 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.
Notes Article number 012009
ISSN 1755-1307
Language eng
DOI 10.1088/1755-1315/257/1/012009
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2019, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128153

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