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Dealing with uncertainties in flow forecasting
for hydropower generation in Brazil
Alberto Assis dos Reis
Chief Hydrology Engineer
Delft-FEWS User Days November 5th
Dealing with uncertainties in flow forecasting for hydropower
generation in Brazil
Flow forecast for more than 160 HPP in Brazil
3 sources of uncertainty
1. The observed precipitation
2. The precipitation forecast
3. The hydrological modeling
• The spot market energy price
• Long-term energy trading strategies
Strategies to deal with the uncertainty at FEWS CEMIG
Dealing with uncertainties in flow forecasting for hydropower
generation in Brazil
1. The observed precipitation uncertainty
• Combine two sources (TRMM-MERGE and CPC)
weighted by the individual uncertainty
E
Strategies to deal with the uncertainty at FEWS CEMIG
Dealing with uncertainties in flow forecasting for hydropower
generation in Brazil
2. The forecast precipitation uncertainty
• Ensemble of models
• Bias correction using Quantile Mapping method
• Seamless forecast
Strategies to deal with the uncertainty at FEWS CEMIG
Dealing with uncertainties in flow forecasting for hydropower
generation in Brazil
3. The hydrological modeling uncertainty
• Dressing forecast technique – to correct the
calibration systematic bias
• Data assimilation – output error correction
method
Thank You!
Alberto Assis dos Reis
aarhidroreis@gmail.com
betoreis@cemig.com.br

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DSD-INT 2020 Dealing with uncertainties in flow forecasting for hydropower generation in Brazil

  • 1. Dealing with uncertainties in flow forecasting for hydropower generation in Brazil Alberto Assis dos Reis Chief Hydrology Engineer Delft-FEWS User Days November 5th
  • 2. Dealing with uncertainties in flow forecasting for hydropower generation in Brazil Flow forecast for more than 160 HPP in Brazil 3 sources of uncertainty 1. The observed precipitation 2. The precipitation forecast 3. The hydrological modeling • The spot market energy price • Long-term energy trading strategies
  • 3. Strategies to deal with the uncertainty at FEWS CEMIG Dealing with uncertainties in flow forecasting for hydropower generation in Brazil 1. The observed precipitation uncertainty • Combine two sources (TRMM-MERGE and CPC) weighted by the individual uncertainty E
  • 4. Strategies to deal with the uncertainty at FEWS CEMIG Dealing with uncertainties in flow forecasting for hydropower generation in Brazil 2. The forecast precipitation uncertainty • Ensemble of models • Bias correction using Quantile Mapping method • Seamless forecast
  • 5. Strategies to deal with the uncertainty at FEWS CEMIG Dealing with uncertainties in flow forecasting for hydropower generation in Brazil 3. The hydrological modeling uncertainty • Dressing forecast technique – to correct the calibration systematic bias • Data assimilation – output error correction method
  • 6. Thank You! Alberto Assis dos Reis aarhidroreis@gmail.com betoreis@cemig.com.br