Renewable Energy Potential Maps for the West Balkan

Renewable Energy Potential Maps
for the West Balkan Countries
Manual for web application
Draft 1.3
(14/04/2010)
ESA EOMD – Value Adding Element
Reference No. 22338/09/I-EC
Book Captain:
Stefan Kleeschulte
Contributing Authors: Mirko Gregor
Web application manual
1
THE APPLICATION
The demonstration project on “renewable energy potential maps for the West Balkan countries”
provides an interaction web application which allows the user to select one of the four sources of
renewable energy and to identify regions suitable for the generation on energy from renewable
sources by masking out non-suitable areas.
Non-suitable areas are a-priori defined by project experts and are based on land use as well as
terrain characteristics. For the different energy sources, different exclusion criteria are applicable.
The application of any of the exclusion areas is up to the user, i.e. if there are no barriers to
construct on arable land or in protected areas, these layer can be disregarded by the user and
arable land or protected areas will be included (i.e. not activated in the selection) in the selection of
potentially suited areas.
2
WHERE TO FIND THE WEB TOOL?
To launch the application, go to the project web site: http://www.geoville.com/renewables/ and click
on “Web Application” in the top of the page.
The welcome screen will look like this:
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HOW TO USE THE INTERACTIVE TOOL?
You can select the resource of interest by
clicking on one of the radio buttons on the left
side of the application.
By clicking on the
the list can be expanded.
The view on the right show the result after
expanding the option list for solar energy and
the two sub-themes “mask” and “radiation”.
In “mask” different exclusion criteria are
proposed. For “slope” different degree of slope
are available.
The exclusion criteria can be individually
selected by clicking into the check box next to
the theme. When selected, a check mark
will appear in the box.
In order to activity the exclusion layers the
check box next to the “mask” needs to be
activated as well.
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Transparency of the layers can be set by
clicking on the arrow
in front of the subtheme, and selecting settings. Click on
“Properties”
A pop-up window allows setting transparency in
percentage values and transparency colour.
The map display reloads automatically after each change in the themes list. This can be changed
by clicking on “Settings”
in the upper right menu list. In the pop-up
window the automatic map-refresh options can be changed.
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The map below shows the solar energy map with the exclusion areas “protected areas”, “forest
areas” and “settlement areas” turned on. Areas corresponding to these themes are blacked out in
the resulting map.
The different functionalities of the application are explained (in English) under the help function of
the tool located in the upper right corner:
The
button provides the same help functionality.
The tool allows to zoom in & out
and to move around in the map
.
The editing tools
allow to manually delineate areas of interest
which can then be displayed in the context of other renewable resources as well as background
data, such as land cover.
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Area of interest and solar energy potential
Area of interest and wind energy potential
Area of interest and land cover
Area of interest and relief
A synergy layer shows areas in which more than one renewable energy source has a good
potential. Each renewable energy resource was classified into three classes (good – medium - low
potential). Each class received a score (3 = good, 2 = medium, 1 = low) and the scores were
added up across the 4 energy layers.
Areas of a “high combined potential” have scored between 10 and 12, “medium combined
potential” between 7 and 9. “Low combined potential” are 6 and lower.
Currently it is not possible to say which resources have contributed how much to the final
combined result.
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RESOURCE DATA DESCRIPTION
Solar
The atlas provides data on Global Horizontal Irradiation (GHI) for photovoltaic systems and Direct
Normal Irradiation (DNI) for concentrating solar systems. The irradiance information based on EO
data are taken from METEOSAT and is based on a method developed by DLR (SOLEMI, 2009).
The provided data show the annual sum of global horizontal and direct normal irradiation in
kWh/(m²a) for the years 2001 until 2005 with a spatial resolution of approx. 1km²).
Wind
Data on wind speed are based on the “Lokalmodel Europa (LME) provided by the German
Weather Service (DWD).The data show the averaged annual wind speed for 2006 for a height of
116m with a spatial resolution of 0.0625° (~7km x 7km). (DWD, 2009)
Biomass
Within the atlas data on biomass energy potential are provided as biomass energy indicator
developed by DLR using EO data. National and regional statistics for forest wood, agricultural
residues, energy plants, industrial and residential waste wood, black liquor, grass from grassland,
manure wood, industrial wood, barley for the time period 1998-2002 and for the year 2000 are
disaggregated on NPP (Net Primary Productivity), CLC, GLC and population density. (Gehrung
and Scholz, 2009). The provided data show the biomass potential in TJ/km² for the year 2000 with
a spatial resolution of 1km².
Geothermal
Data on geothermal resources are taken from the Atlas of Geothermal Resources in Europe
(Hurter, 2002; Hurtig et al., 1992) which contains information on rock temperature in 2000 m,
3000 m and 5000 m depth. Temperatures at 4000 m depth were assumed to be the average
between the temperatures in 3000 m and 5000 m depth.
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