importance of meteo and hydro services in hep group
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Importance of meteo and hydro services in HEP group. Barbara Tolić, HEP Trgovina d.o.o. SEECOFF-10 20.-21.11.2013., Belgrade. HEP Group. HEP Trade Ltd. O ptimization of power plants operation and trading intermediation in the domestic and international market - PowerPoint PPT PresentationTRANSCRIPT
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Importance of meteo and hydro services in HEP group
Barbara Tolić, HEP Trgovina d.o.o.SEECOFF-10
20.-21.11.2013., Belgrade
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HEP Group
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HEP Trade LtdOptimization of power plants operation and
trading intermediation in the domestic and international market
Midterm planning – a week up to a year aheadShort term planning – day ahead up to a week
aheadIntraday planning – hourly re-planning Electricity tradingGoal – profit maximization of entire HEP
Group in consideration with power system needs
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Users of meteo and hydro data in HEP GroupTemperatures (°C)
Cloud cover (%)
Precipitation(mm)
Wind direction(°)
Wind speed (m/s)
Humidity (%)
Dew point (°C)
Fog (%)Low clouds (%)Middle clouds (%)High clouds (%)
Pressure (hPa)
Inflow (m³/s)
Hourly forecasts and hourly historical data
Evaporation (m³/s)
Satellite maps
Radar maps
Lightning maps
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Installed generation capacities in CroatiaHydro power plants
46%48
%
6%
ThermalHydro
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Energy balance in Croatian power systemGWh
GWh
2006 2007 2008 2009 2010 201117100
17200
17300
17400
17500
17600
17700
17800
17900
18000
18100
-3000
-1000
1000
3000
5000
7000
9000
ConsumptionHydroThermalImportExportNPP KrškoTPP Plomin 2Eligible generationIndustrial powerplants
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Renewables in Croatia
Generation capacity
Wind 205,95 MW
Other 31,05 MWTotal 237 MW
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Midterm planning
Very deterministicSeasonal planningWeekly and monthly planning
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Midterm planning - seasonsEnergy consumption forecastsLarge reservoirs management strategy –
depending on long term precipitation forecastsFuel purchase and management (coal, natural
gas and oil)Guidelines for maintenance planning
Generation (hydro and thermal power plants)Transmission system
Long term trade
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Weather forecast - seasonalInput data for planning
Temperature trends (normal, unusualy hot/cold) Forecasts for regional capitals Zagreb, Split, Rijeka
and Osijek
Precipitation (normal, dry or wet year/season) Regional capitals and river basins
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Midterm planning – weekly and monthlyElectric energy consumption curves – very
dependant on weatherSmaller reservoirs management strategy
All but two of our reservoirs fall into this categoryTorrential rivers – reservoirs have a high risk of
overflowRun-of-river power plants – daily reservoirs
Renewables planning (wind farms and solar power plants)
Short term electricity trading plan
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Weather forcasts – weekly and monthly10-15 days ahead meteograms
Daily temperature (average, high, low)Precipitation (quantity and type) Clouds and fog (big influence on energy
consumption)Relative moistureWind speed and direction
Regional capitals (especialy on the Adriatic coast) Wind farm locations
Extreme weather conditions (storms, floods)
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Forecast interpretationOur planning – very deterministicWeather forecasts – probabilistic
Problem – we need quantitative input data How to interpret probabilistic weather
forecasts?{probability, interval, quantity} {quantity,
reliability}?
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Thank you!