H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
BBN Meeting – Eberswalde, 01.12.2006BBN Meeting – Eberswalde, 01.12.2006
Work status Brandenburg, Work status Brandenburg, UAS EberswaldeUAS Eberswalde
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
1. Biogas potential for Brandenburg
• for the Brandenburg energy strategy 2010 and biogas handbook
• Based on winter rye & maize potential on the municipality level and slurry potential (cattle & pigs) on the county level
2. Regional analysis of spatial impact (resources, logistics etc.) of planned Biogas facilities in the region of Templin
Schulzenfelde: 4 – 6 plants with 500 kW eachEselshütte: 10 plants
Reinfeld: 4 plants First meetings held, review of applications
done
WP 1 – regional scenario models
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
1. GIS based investment feasibility study planned Straw ethanol plant
in cooperation with VW and Iogen
planned straw ethanol facility in Germany
search for potential sites
UAS was asked for straw potential analysis Germany
1. Model based
2. Statistically based
WP 2 – operational models
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
2. GIS based potential modelling in the Baltic Sea Region
model based on yield index Germany adaption to data situation in baltic states???
WP 2 – GIS modelling
Zustandsstufen Bodenart Entstehung
1 2 3 4 5 6 7
D 41-34 33-27 26-21 20-16 15-12 11-7 S
Al 44-37 36-30 29-24 23-19 18-14 18-9
D 51-43 42-35 34-28 27-22 21-17 16-11
Al 53-46 45-38 37-31 30-24 23-19 18-13 Sl
V 49-43 42-36 35-29 28-23 22-18 17-12
D 68-60 59-51 50-44 43-37 36-30 29-23 22-16
Lö 71-63 62-54 53-46 45-39 38-32 31-25 24-18
Al 71-63 62-54 53-46 45-39 38-32 31-25 24-18
V 57-51 50-44 43-37 36-30 29-24 23-17
lS
Vg 47-41 40-34 33-27 26-20 19-12
D 75-68 67-60 59-52 51-45 44-38 37-31 30-23
Lö 81-73 72-64 63-55 54-47 46-40 39-33 32-25
Al 80-72 71-63 62-55 54-47 46-40 39-33 32-25
V 75-68 67-60 59-52 51-44 43-37 36-30 29-22
SL
Vg 55-48 47-40 39-32 31-24 23-16
D 84-76 75-68 67-60 59-53 52-46 45-49 38-30
Lö 92-83 82-74 73-65 64-56 55-48 47-41 40-32
Al 90-81 80-72 71-64 63-56 55-48 47-41 40-32
V 85-77 76-68 67-59 58-51 50-44 43-36 35-27
sL
Vg 64-55 54-45 44-36 35-27 26-18
D 90-82 81-74 73-66 65-58 57-50 49-43 42-34
Lö 100-92 91-83 82-74 73-65 64-56 55-46 45-36
Al 100-90 89-80 79-71 70-62 61-54 53-45 44-35
V 91-83 82-74 73-65 64-56 55-47 46-39 38-30
L
Vg 70-61 60-51 50-41 40-30 29-19
D 87-79 78-70 69-62 61-54 53-46 45-38 37-28
Al 91-83 82-74 73-65 64-57 56-49 48-40 39-29
V 87-79 78-70 69-61 60-52 51-43 42-34 33-24 LT
Vg 67-58 57-48 47-38 37-28 27-17
D 71-64 63-64 55-48 47-40 39-30 29-18
Al 74-66 65-58 57-50 49-41 40-31 30-18
V 71-63 62-54 53-45 44-36 35-26 25-14 T
Vg 59-51 50-42 41-33 32-24 23-14
Mo 54-46 45-37 36-29 28-22 21-16 15-10
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
WP 2 – GIS modelling
Zustandsstufen Bodenart Entstehung
1 2 3 4 5 6 7
D 41-34 33-27 26-21 20-16 15-12 11-7 S
Al 44-37 36-30 29-24 23-19 18-14 18-9
D 51-43 42-35 34-28 27-22 21-17 16-11
Al 53-46 45-38 37-31 30-24 23-19 18-13 Sl
V 49-43 42-36 35-29 28-23 22-18 17-12
D 68-60 59-51 50-44 43-37 36-30 29-23 22-16
Lö 71-63 62-54 53-46 45-39 38-32 31-25 24-18
Al 71-63 62-54 53-46 45-39 38-32 31-25 24-18
V 57-51 50-44 43-37 36-30 29-24 23-17
lS
Vg 47-41 40-34 33-27 26-20 19-12
D 75-68 67-60 59-52 51-45 44-38 37-31 30-23
Lö 81-73 72-64 63-55 54-47 46-40 39-33 32-25
Al 80-72 71-63 62-55 54-47 46-40 39-33 32-25
V 75-68 67-60 59-52 51-44 43-37 36-30 29-22
SL
Vg 55-48 47-40 39-32 31-24 23-16
D 84-76 75-68 67-60 59-53 52-46 45-49 38-30
Lö 92-83 82-74 73-65 64-56 55-48 47-41 40-32
Al 90-81 80-72 71-64 63-56 55-48 47-41 40-32
V 85-77 76-68 67-59 58-51 50-44 43-36 35-27
sL
Vg 64-55 54-45 44-36 35-27 26-18
D 90-82 81-74 73-66 65-58 57-50 49-43 42-34
Lö 100-92 91-83 82-74 73-65 64-56 55-46 45-36
Al 100-90 89-80 79-71 70-62 61-54 53-45 44-35
V 91-83 82-74 73-65 64-56 55-47 46-39 38-30
L
Vg 70-61 60-51 50-41 40-30 29-19
D 87-79 78-70 69-62 61-54 53-46 45-38 37-28
Al 91-83 82-74 73-65 64-57 56-49 48-40 39-29
V 87-79 78-70 69-61 60-52 51-43 42-34 33-24 LT
Vg 67-58 57-48 47-38 37-28 27-17
D 71-64 63-64 55-48 47-40 39-30 29-18
Al 74-66 65-58 57-50 49-41 40-31 30-18
V 71-63 62-54 53-45 44-36 35-26 25-14 T
Vg 59-51 50-42 41-33 32-24 23-14
Mo 54-46 45-37 36-29 28-22 21-16 15-10
soil data in the baltic states used for derivation of yield index
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
WP 2 – GIS modelling
annual percipitation (mm)
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
First results:
annual yield potential winter rye in Germany, Poland and
Baltics
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
Potentials and actually harvested amounts (statistically based) of cereals in Germany and the Baltic States
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
Szenario: BioethanolWinterroggen
Average year (100 %)
Catchment area in dry years
Catchment area for the ethanol plant in Schwedt (winterryre): in average years, in dry years
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
• Soil data of Estonia are already purchased and currently tested on our model
• Finnish soil data are going to be obtained via spatial data exchange plattform
• Latvia: only analog soil data digitalisation?!• Lithuania: soil yield index exists purchase of data
sets possible?• Poland: yield index map exists but difficult to talk with
IUNG/Pulawy about purchasing the data
Soil data situation for more accurate modelling:
At the moment we are modelling with coarse European data
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
WP 3 – Strategies, Networking & Dissemination
Master class course renewable energies – 23.- 27. October 2006 Students, stakeholders, representatives from politics,
economy and society are invited to discuss possibilities of extensive renewable Energy applications
under the patronage of the Brandenburg minister for science, research and culture Dr. Johanna Wanka
Over 100 participants during the 5 days For more information take a look at our BBN website and at
www.fh-eberswalde/mcc-re
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
WP 3 - Networking
Sample Moisture TSW HL-weight Starch Protein Cultivar Kind Harvest HarvestStarchharves
t AZ
No. [%] [gTM] [g OS] [hl/kg] [% TM] [86% TM] [% TM] [% OS] [dt/ha] [TM dt/ ha] [TM dt/ ha]
1 89,0 31,1 34,9 73,40 63,8 54,9 12,5 11,5 Kaupo H 84,7 72,8 46,5
4 89,0 29,8 33,5 73,30 63,9 55,0 10,4 9,4 Kaupo H 82,3 70,8 45,2
7 89,0 30,0 33,7 73,30 63,8 54,9 10,6 9,6 Kaupo H 88,5 76,1 48,6
10 89,0 30,7 34,5 73,50 64,4 55,4 11,1 10,1 Kaupo H 84,4 72,6 46,7
13 89,0 32,4 36,4 74,65 64,7 55,6 10,2 9,2 Kaupo H 95,8 82,4 53,3
2 89,0 29,0 32,6 75,30 64,0 55,0 11,2 10,2 Amilo P 87,0 74,8 47,9
5 89,0 29,0 32,6 76,15 64,8 55,7 11,1 10,1 Amilo P 85,3 73,4 47,5
8 89,0 29,8 33,5 76,15 64,3 55,3 11,3 10,4 Amilo P 90,6 77,9 50,1
11 89,0 30,0 33,7 75,85 64,7 55,6 11,4 10,4 Amilo P 94,3 81,1 52,5
14 89,0 31,5 35,4 77,10 64,6 55,5 11,1 10,2 Amilo P 92,7 79,7 51,5
3 89,0 31,6 35,6 74,95 64,4 55,4 11,0 10,0 Walet P 89,4 76,9 49,5
6 89,0 32,0 36,0 75,30 64,9 55,8 11,3 10,3 Walet P 90,9 78,2 50,8
9 89,0 32,8 36,9 75,55 64,8 55,7 11,2 10,2 Walet P 92,9 79,9 51,8
12 89,0 32,9 36,9 72,50 64,6 55,5 10,5 9,5 Walet P 96,7 83,2 53,7
15 89,0 34,8 39,1 75,95 64,8 55,8 11,3 10,3 Walet P 97,1 83,5 54,2
Average 89,0 31,2 35,0 74,9 64,4 55,4 11,1 10,1 90,2 77,5 50,0
Min 89,0 29,0 32,6 72,5 63,8 54,9 10,2 9,2 82,3 70,8 45,2
Max 89,0 34,8 39,1 77,1 64,9 55,8 12,5 11,5 97,1 83,5 54,2
German Average 88,7 26,4 29,8 71,3 63,5 54,6 10,8 9,8 44,2 37,9 24,3
Min 86,2 13,8 15,9 62,7 55,8 48,0 7,6 6,6 8,0 6,9 4,5
Max 90,7 53,4 60,0 79,5 67,1 57,7 14,7 13,8 92,0 79,1 51,3
Quality management of rye for ethanol production:
• Analysis of regional rye sample from Brandenburg and baltic sea region during 2005, 2006 ...
• To give recommendations for energy crop growing
Example Latvia: ...more Infos at the BBN website
H. P. Piorr , S. Laufer
University of Applied
Sciences Eberswalde
Thanks a lot for organising
(and carrying) those rye samples!!!