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Diapositiva 1

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... Nord Pool, where electricity produced from hydropower, wind power, nuclear ... The prices at Nord Pool are in turn influenced by prices at the power exchanges ... – PowerPoint PPT presentation

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Title: Diapositiva 1


1
EO-Hydro Market review meeting Overview on
Scandinavia
2
Content
  • The Nordic power market
  • Customer base
  • Report on customer feedback
  • Lesson learnt in commercial trials of 2005
  • Recommendation for modifications of the service

3
The Nordic Power Market
  • The physical power consumption in the Nordic
    power market is around 390 TWh per year.
  • The price of power for this consumption is
    directly or indirectly determined by the Nordic
    power exchange, Nord Pool, where electricity
    produced from hydropower, wind power, nuclear
    energy, gas and coal is traded.
  • The prices at Nord Pool are in turn influenced by
    prices at the power exchanges in Continental
    Europe, which are in turn influenced by prices in
    other markets.

4
Customer base Scandinavia
  • Current EO-hydro customer portfolio
  • Glommens and Laagens Water Management
    Association
  • BKK
  • Statkraft
  • Service provider
  • Kongsberg Satellite Services

5
GLB Water Management Association
  • Develop and operate storage reservoirs so that
    the production of electricity can be better
    adapted to the actual demand.
  • GLB is responsible for 26 reservoirs and
    watercourse diversions with a combined storage
    capacity of an approximate 3,500 million m3,
    equivalent to 16 of the runoff from the
    catchment area during an average year.
  • The catchment area is Glomma and Laagen rivers
    (41,200 km2). It covers 13 of Norway's total
    land area, equivalent to the size of Denmark.

6
  • GLB catchment in south-eastern Norway
  • Vast areas at lower altitudes

7
BKK
  • BKK one of Norway's largest companies in the
    production, wholesaling and transmission of
    electrical power.
  • BKK owns 29 own power stations.
  • BKK is owned by Statkraft and 17 local
    municipalities in Western Norway.
  • 171.000 network customers
  • 29 own power stations
  • 45 transforming stations in the central and
    regional grids
  • 4,890 network stations in the distribution
    network
  • Produces approx. 8 TWH a year

8
  • Leading company in Europe
  • 39 hydropower in Scandinavia
  • 17 of hydropower in Europe
  • total power production 42 TWh,
  • third largest producer of power in the Nordic
    region,
  • second largest producer of power based on
    renewable energy sources in Europe.
  • the group has 2,000 employees (subsidiaries
    included)

Source www.statkraft.com
9
Statkraft in the Nordic countries
  • Statkraft has more than 60 power stations with
    related regulation facilities across Norway.
  • Many of the more than 120 reservoirs are located
    at high elevations and the catchment areas cover
    extensive mountain areas.
  • Statkraft has recently purchased 24 power
    stations in Sweden and Finland.

10
EO-Hydro activities in 2005
  • Statkraft received optical, SAR and multisensor
    satellite snow cover maps.
  • Concentrated on the following four points
  • Prepare the in-house system for reception of snow
    info products
  • Retrieve snow information products via EO-HYDRO
    Service
  • Inspect and assure quality of products before
    operational use in water management process
  • Take advantage of synergy effects from combining
    EO-HYDRO products with other available
    information on snow
  • The in-house system was set up with separate
    server areas for receiving the EO products. A
    simple file structure where used.
  • The files were joined into the GIS system, where
    it was further analysed.

11
Snow reservoir status
  • A number of activities that contribute to
    Statkraft's overview of the snow situation.
  • The data collected by the met.no and the NVE are
    obtained via internet and the amount of snow in
    all mountain basins is calculated throughout the
    winter with the use of hydrological models
  • However, most important information source are
    the manual measurements that are carried out in
    the catchment areas during the winter season
    according to fixed measurement plans.
  • During melting periods the snowmelt process in
    the mountain areas is monitored as described with
    the help of satellite data and an in-house
    computer system. This gives Statkraft maps and
    snow data for the entire country at short notice
    when conditions make it possible to download
    satellite data.

12
HBV - Hydrological model
  • The original HBV model was developed in 1975 by
    the Swedish Meteorological and Hydrological
    Institute (SMHI) as a conceptual runoff model
  • Original intention a model for operational
    forecasting in Scandinavia
  • Works well in many locations around the world and
    covers a variety of climate conditions
  • The parameters in the HBV model are calibrated to
    the basin but they may not all be physically
    representative even though they are based on
    physical processes

13
HBV - Hydrological model
  • All hydrological forecasts in Statkraft are based
    on the HBV model
  • The forecasting system contains around 200 models
    representing basins from all over Norway and
    Sweden
  • The data acquisition is based on a great number
    of automatic hydrometeorological stations in and
    around the basins
  • The models are operated automatically and the
    results go, after a quality check into production
    planning and energy management models
  • The forecasting model is run on a daily time step.

14
Comparison between two services
  • Comparison between snow covered area (SCA) from
    the multisensor weekly products from EO-Hydro and
    the AVHRR products from SnowStar on April 24th
    for a number of basins in southern Norway.
    EO-Hydro products give a higher percentage for
    SCA than NOAA AVHRR

15
Comparison model/satellite
  • The table shows comparison between EO-Hydro SCA
    and SCA from the HBV model for four basins on May
    14th.
  • Total all-season runoff for Rinna (original
    modelled/corrected and actual)

16
  • Modelled runoff throughout the melting season
    2005 for Rinna in central Norway. The graph show
    the original HBV modelled runoff and the HBV
    modelled runoff after update of SCA from
    satellite images

17
EO-Hydro vs. Snowstar
  • EO-Hydro
  • SnowStar

18
Lessons learnt
  • Plus
  • The web portal easy to access and manoeuvring in
    the portal was facilitated with thumbnail
    previews and a well-organised lay-out.
  • Downloading a product over the internet took only
    15 seconds. This was also the case for the colour
    composites.
  • Improvements were found in the composite snow
    maps
  • The maps were easily imported into Statkrafts
    in-house geographical information system
  • The multi sensor snow cover maps have a better
    resolution and are more geographically detailed
    than e.g. NOAA-AVHRR based maps.
  • The snow cover maps presented would probably be
    effective for an overall inspection of the snow
    situation for many users without further analysis
  • Minus
  • Some products show considerable differences from
    the products generated by the in-house
    well-proven SnowStar system. This might be due to
    the SAR images.
  • The ordering procedures not tested as Statkraft
    primarily is interested in a subscription
    arrangement is this feasible?

19
Potential service and product improvement
  • Service quality
  • Processing time
  • More satellites (optical and radar)
  • Single products in addition to multi products
  • Product quality
  • Need for higher accuracy in snow covered fraction
    in SAR vs MODIS
  • MODIS products need to be calibrated for sun
    angle and terrain to be used in larger areas
  • What about snow volume? Snow coverage information
    gives only marginal contributions

20
KO meeting for 2006 season
  • Took place January 16th at Gardermoen (Statkraft,
    BKK and GLB present)
  • Service
  • Last year only weekly composites, we would like
    to see single products as well
  • Start deliveries for the season a bit earlier
    (GLB)
  • Product
  • Pixels with inferred snow in SAR should be
    identifiable.
  • Show snow in forest in optical (no forest mask)
  • This means a larger number of products compared
    to the previous year
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