UNCERTAINTY ANALYSIS OF AVERAGE FLOW DURATION CURVES USED IN HYDRPOWER PLANTS FEASABILITY STUDIES

C. Simões, A. S. Ribeiro, M. C. Almeida, D. Covas
Abstract:
This study applies a Monte Carlo method (MCM) to estimate the uncertainty related to the determination of the annual flow duration curve determined at a river weir, considering the dynamic behaviour of processes and the intrinsic uncertainty contributions to the raw data. The computation of the curve uses a time series of average daily flow data collected at a hydrometric station at an upstream river section. This curve was used for a hydropower plant feasibility study. Results show how model uncertainty can be estimated from the measurement uncertainty of raw data and mathematical formulation applied.
Keywords:
Uncertainty; time series; mathematical models; Monte Carlo method; data
Download:
IMEKO-TC11-2022-18.pdf
DOI:
10.21014/tc11-2022.18
Event details
IMEKO TC:
TC11
Event name:
Joint IMEKO TC11 & TC24 hybrid conference
Title:

Measurement for a better life

Place:
Dubrovnik, CROATIA
Time:
16 October 2022 - 20 October 2022