SMIBIO Case Study in Germany - Green Biorefineries in the Bavarian region of Straubing-Bogen (a case study in progress)

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SMIBIO Case Study in Germany - Green Biorefineries in the Bavarian region of Straubing-Bogen (a case study in progress) SMIBIO Workshop Small-scale Biorefineries for Rural Development in Latin America and Europe 23 November 2016 Buenos Aires, Argentina Ingo Ball WIP Renewable Energies, Germany

Content Green biorefineries concept and classification Setting of the German case study Technical concept Economic possibilities Challenges & Chances Conclusions

Green biorefineries concept and classification A green biorefinery processes fresh wet biomass, such as grass, clover, alfalfa or immature cereals. First processing of wet biomass involves dewatering (e.g. screw press) to obtain two separate intermediates: A nutrient-rich juice Organic Solutions (press juice) and a fibre-rich lignocellulosic press cake Both intermediates are starting points for various valorization pathways. (Source: IEA Bioenergy Task 42 )

Green biorefineries concept and classification The organic solutions (press juice) contains valuable compounds, such as carbohydrates, proteins, free amino acids, organic acids, minerals, hormones and enzymes depending on the used feedstock (fresh biomass or silage). Soluble carbohydrates and proteins can be used as fermentation medium or for generating feed products. Silage juice has been demonstrated as feedstock for biochemicals and fuels production. Lactic acid and its derivatives as well as proteins, amino acids, bioethanol and energy via AD are the most favorable end-products. The press cake fibres can be used as green feed pellets, processed to fibre products (e.g. insulation material) or used as raw material for other platforms (e.g. C6 and C5, syngas and lignin).

Green biorefineries concept and classification Green biorefinery = Product driven biorefinery Target: production of chemicals, materials, food and feed; side-products are used for energy production (power/heat) Only few new facilities in operation yet Key technologies often still at R&D phase High potential (interested stakeholders, advanced properties)

Classification system - IEA Bioenergy Task 42 Anaerobic Digestion Extraction Source: IEA Bioenergy Task 42

Setting of the German case study Wikimedia Commons C. Busch, Hamburg

Setting of the German case study Favored location next to an existing biogas plant close to Straubing, Bavaria Logistics could be included in already existing scheme (optimisation of supply chain)

Technical concept - overview Overview of the process Source: S. Novalin et Al., Grüne Bioraffinerie, 2005

Technical concept the feedstock g/mol Formula Content in silage juice, [g/l] Anorg. ions 26,09 Ammonium 18,039 NH4+ 0,68 Potassium 39,102 K+ 11,66 Magnesium 24,3 Mg++ 0,55 Calcium 40,08 Ca++ 1,54 Chloride 35,453 Cl- 4,13 Nitrate 62,007 NO3-1,70 Phosphate 94,974 PO4--(-) 3,62 Sulphate 96,064 SO4-- 2,21 Mol-Equ+ 0,46 Mol-Equ- 0,27 Carbohydrates 26,59 Mannitol 182,178 C6H14O6 3,36 Arabinose 150,1 C5H10O5 1,35 Galactose 180,2 C6H12O6 2,12 Glucose 180,2 C6H12O6 6,91 Xylose 150,1 C5H10O5 0,51 Fructose 180,2 C6H12O6 9,84 Sucrose 342,3 C12H22O12 2,50 Organic acids 34,30 Lactic acid 90,08 C3H6O3 29,72 Acetic acid 60,05 C2H4O2 4,58 Molequ. - 0,19 Source: S. Novalin et Al., Grüne Bioraffinerie, 2005 Amino acids Peptide 20,27 Aspartic acid 133,1 C4H7NO4 2,27 Glutamic acid 147,1 C5H9NO4 1,04 Asparagine 132,1 C4H8N2O3 0,98 Serine 105 C3H7NO3 0,95 Glutamine 146,1 C5H10N2O3 0,16 Histidine 155,2 C6H9N3O2 0,39 Glycine 75,07 C2H5NO2 0,81 Threonine 119,1 C4H9NO3 1,05 Arginine 174,2 C6H14N4O2 0,22 Alanine 89,09 C3H7NO2 1,82 Gaba 103,1 C4H9NO2 1,40 Tyrosine 181,2 C9H11NO3 0,62 Valine 117,1 C5H11NO2 1,35 Methionine 149,2 C5H11NO2S 0,44 Tryptophan 204,2 C11H12N2O2 0,30 Phenylalanine 165,2 C9H11NO2 0,94 Isoleucine 131,2 C6H13NO2 0,96 Leucine 131,2 C6H13NO2 1,77 Lysine 146,2 C6H14N2O2 1,39 Proline 115,1 C5H9NO2 1,10 Cysteine 121,2 C3H7NO2S 0,30 Mol-Equ+ 0,013 Mol-Equ- 0,024 Dry matter, DM - 100 Crude protein, CP - 31,3 11,06 Vers. Subst. >300 D 2 Vers. Subst. <300 D 2

Technical concept - extraction Extraction Feedstock for free: 1.000 t/a grass clippings 14.500 t/a grass-like garden waste 32.890 t/a Water Energy 2.560 MWh/a Silage 15.500 t FM/a TS~33% Mechanical fractionation Pretreatment Press 1 Press 2 Press cake 11.509 t FM/a DM~50% Press juice 36.881 t FM/a DM~10%

Technical concept - feedstock after extraction g/mol Formula Content in silage juice, [g/l] Anorg. ions 21,06 Ammonium 18,039 NH4+ 1,23 Potassium 39,102 K+ 9,60 Magnesium 24,3 Mg++ 0,25 Calcium 40,08 Ca++ 0,78 Chloride 35,453 Cl- 2,22 Nitrate 62,007 NO3-2,74 Phosphate 94,974 PO4--(-) 2,93 Sulphate 96,064 SO4-- 1,31 Mol-Equ+ 0,37 Mol-Equ- 0,20 Carbohydrates 11,00 Mannitol 182,178 C6H14O6 4,24 Arabinose 150,1 C5H10O5 0,13 Galactose 180,2 C6H12O6 0,74 Glucose 180,2 C6H12O6 1,21 Xylose 150,1 C5H10O5 0,00 Fructose 180,2 C6H12O6 2,07 Sucrose 342,3 C12H22O12 2,62 Organic acids 56,92 Lactic acid 90,08 C3H6O3 46,92 Acetic acid 60,05 C2H4O2 10,00 Molequ. - 0,32 Source: S. Novalin et Al., Grüne Bioraffinerie, 2005 Amino acids 23,56 Aspartic acid 133,1 C4H7NO4 1,70 Glutamic acid 147,1 C5H9NO4 1,52 Asparagine 132,1 C4H8N2O3 1,47 Serine 105 C3H7NO3 1,10 Glutamine 146,1 C5H10N2O3 0,26 Histidine 155,2 C6H9N3O2 0,74 Glycine 75,07 C2H5NO2 0,95 Threonine 119,1 C4H9NO3 1,29 Arginine 174,2 C6H14N4O2 0,16 Alanine 89,09 C3H7NO2 2,01 Gaba 103,1 C4H9NO2 1,93 Tyrosine 181,2 C9H11NO3 0,50 Valine 117,1 C5H11NO2 1,38 Methionine 149,2 C5H11NO2S 0,57 Tryptophan 204,2 C11H12N2O2 0,45 Phenylalanine 165,2 C9H11NO2 1,14 Isoleucine 131,2 C6H13NO2 1,04 Leucine 131,2 C6H13NO2 2,07 Lysine 146,2 C6H14N2O2 1,88 Proline 115,1 C5H9NO2 1,10 Cysteine 121,2 C3H7NO2S 0,30 Mol-Equ+ 0,019 Mol-Equ- 0,023 Dry matter, DM - 117 Crude protein, CP - 31,3 Peptide 3,00 Vers. Subst. >300 D 2 Vers. Subst. <300 D 2

Technical concept - filtration Main process steps: Nanofiltration and chromatography Source: S. Novalin et Al., Grüne Bioraffinerie, 2005

Economic possibilities Production assumption based on Austrian study: Example out of study: Input: silage 150.000 t After extraction: press cake 100.000 t press juice 50.000 t Out of press juice: lactic acid proteins 15.000 t 12.000 t The 100.000 t of press cake are used in AD: 150 GWh thermal energy and 100 GWh electrical energy. Source: S. Novalin et Al., Grüne Bioraffinerie, 2005

Economic possibilities Price assumption: AA-acids category 30 /kg, Tyr 30.000 /ton AA-acids category 10 /kg, Phe 10.000 /ton AA-acids category 10 /kg-aa, Produkt mit 40 % BCAA 10.000 /ton AA-acids category 10 /kg, Cys² 10.000 /ton AA-acids category 5 /kg, Asp 5.000 /ton Aminoacids category 1 /kg-aa unter 25 % AA 1.000 /ton Aminoacids category 2 /kg-aa über 40 % AA 2.000 /ton Lactic acid, 0,6 /kg 600 /ton Source: S. Novalin et Al., Grüne Bioraffinerie, 2005 NB: All assumptions will be verified and updated in the coming months.

Challenges Real value data for all steps To be assessed in the next months Filtration processes are very energy intensive Sustainable energy to be provided by AD / CHP Cooperation partner Agricultural companies (feed & AD) Find markets for production LCA Etc. To be done in next months

Chances - Mobile grass refinery unit Grassa (NL) Separated components of grass value 700-800 EUR/ton, compared to 60 EUR/ton costs of raw material Source: J. Sanders, Wageningen UR, Status of the Bioeconomy, Oslo, 2-3 Sept. 2015

Conclusions Grass as feedstock can be found almost everywhere Realisation of a small green biorefinery concept would be a chance for rural regions First realisations are on the market Economic feasibility needs to proven on the long run Potential for many more small green biorefineries worldwide

The SMIBIO project is implemented in the framework of ERANet-LAC, a Network of the European Union (EU), Latin America and the Caribbean Countries (CELAC) co-funded by the European Commission within the 7th Framework Programme for Research and technology Development (FP7). The sole responsibility of this publication lies with the author. The European Union is not responsible for any use that may be made of the information contained therein. Gracias por su atención Contact: Ingo Ball (ingo.ball@wip-munich.de