Welcome to the Biomass conversion technologies database which you can access underneath!
Through the underneath table users can access the database on lignocellulosic biomass conversion technologies characteristics (click on the number in last column). The data included in this database are feeding the Bio2Match, the BeWhere and the LocaGIStics tools all accessible via the main menu in this toolset under 'Tools'. accessible under the ‘Tool' tab in the main menu above. In the process of creating the database it was ensured to take up the technologies relevant for producing the products described in the product market combinations in WP7 and that were the basis for assessing 2020 and 2030 biomass demand and consumption levels (see Tab 'General data' ---> 'Biomass demand'. For heat, power and fuels, several technologies are available in the database, while for other bio-based products (especially through the sugar platform) some but fewer conversion technologies are included. This is a representation of the technology readiness levels and the current and expected market situation for these products.
In the underneath table an overview is provided of all technologies included in the conversion technologies database. To access the detailed technology characterisation sheets in de database click on the technology number in the last column of the table. To return to the overview table again click on the return arrow.
The technologies covered can be classified in 6 main categories: treatment in subcritical water, syngas platform, gasification technologies, fast pyrolysis, direct combustion of solid biomass, chemical pretreatment, biochemical hydrolisis and fermentation and anearobic digestion. For a further description of the biomass conversion technologies database please consult D2.3. The method developed in S2BIOM for minimal biomass quality requirement for each biomass conversion technology is described in D2.1 and D2.2.
Conversion technologies
View details of Residues pyrolysis + Boiler for heat, value chain example
| Name | Residues pyrolysis + Boiler for heat, value chain example |
| Main category | Fast pyrolysis |
| Subcategory | Pyrolysis plus boiler for heat and steam |
| Image url |
| Year of first implementation |
| Estimated number of systems in operation |
| Main operating principle: |
| This entry is an example of a value chain consisting of a pyrolysis plant that produces pyrolysis oil from agricultural residues, which is then shipped to another plant that converts the pyrolysis oil into bio-energy, for example for a district heating system. The entry is a combination of entries 24 and 38: 'Agricultural residues to pyrolysis oil' and 'pyrolysis oil to heat', on the basis of 6.4 t/hr fresh biomass input. Conservatively a scaling factor of 1 was assumed for the boiler sizing (size x2.6), compared to entry 38. |
| Level of commercial application |
| Important pilots and EU projects |
| Expected Developments |
| Current Technology Readiness Level | Level 7, Integrated pilot system demonstrated |
| Expected Technology Readiness Level in 2030 | Level 9, System ready for full scale deployment |
| Justify expected Level in 2030 |
| References: |
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TECHNICAL PROPERTIES
| Power | (MWe) 0.1 |
| Conversion efficiencies: net returns electricity(GJ/GJ biomass input) | typical: 0.005 | min: | max: | typical in 2020: | typical in 2030: |
| Heat | (MWth) 16.4 |
| Conversion efficiencies: net returns heat(GJ/GJ biomass input) | typical: 0.77 | min: | max: | typical in 2020: | typical in 2030: |
| Data sources used to define conversion efficiencies in 2014: |
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| Indication: experience based data | No |
| Number of possible full load hours per year (hours) | 8000 |
| Number of typical full load hours per year (hours) | 7000 |
| Typical Lifetime of Equipment (years) | 25 |
| Data sources used to define conversion efficiencies in 2020: |
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| Data sources used to define conversion efficiencies in 2030: |
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| General data sources for technical properties: |
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BIOMASS INPUT SPECIFICATIONS
| Biomass input, common for the technology used: | Cereals straw, Straw/stubbles; Sunflower straw, Straw/stubbles; Logging residues from final fellings originating from nonconifer trees, Logging residues from final fellings & thinnings; Logging residues from final fellings originating from conifer trees, Logging residues from final fellings & thinnings; |
| Biomass input, technically possible but not common: | |
| Traded form | Chopped straw or energy grass |
| Dimensions | length (mm) 45 |
| Moisture content | (% wet basis) typical 30 | max 55 |
| Minimal bulk density | (kg/m3, wet basis) 100 |
| Maximum ash content | (% dry basis) 9 |
| Minimal ash melting point (= initial deformation temperature) | (°C) 850 |
| Volatile matter (only for thermally trated material, torrefied or steam explosed) | (VM%) |
| Maximum allowable contents |
| Nitrogen, N (wt%, dry) 2.5 | Sulphur, S (wt%, dry) | Chlorine, Cl (wt%, dry) 0.3 |
| Optional attributes |
| Net caloric value | (MJ/kg) min 8 | max |
| Gross caloric value | (MJ/kg) min | max |
| Biogas yield | (m3 gas/ton dry biomass) | % methane |
| Cellulose content | (g/kg dry matter) min | max |
| Hemicellulose content | (g/kg dry matter) min | max |
| Lignin content | (g/kg dry matter) min | max |
| Crude fibre content | (g/kg dry matter) min | max |
| Starch content | (g/kg dry matter) min | max |
| Sugar content | (g/kg dry matter) min | max |
| Fat content | (g/kg dry matter) min | max |
| Protein content | (g/kg dry matter) min | max |
| Acetyl group content | (g/kg dry matter) min | max |
FINANCIAL AND ECONOMIC PROPERTIES
| Investments costs | in 2014 (€): 18400000 | expected in 2020 (€): 18400000 | expected in 2030 (€): 15000000 |
| Labour needed | Operators (FTE): 7 | Staff and engineering (FTE): 2 |
| Edited by: Tijs Lammens |