1. C R O P S T O I N D U S T R Y WP4 TaskS 4.1 & 4.2 Task leader: ICCEPT Crops2Industry “Non-food Crops-to-Industry schemes in EU27” Calliope Panoutsou & Arturo Castillo Imperial College London c.panoutsou@imperial.ac.uk

2. C R O P S T O I N D U S T R Y Content 1.Objectives 2.Progress of work 3.Results 4.Status of deliverables & milestones 5.Problems encountered 6.Plans for the next 6 Months

3. C R O P S T O I N D U S T R Y 1. Objectives Objective perform supply chain cost analysis, identify best business opportunities and assess the socio- economic impacts of selected crop-to- product schemes at EU-27, regional and country levels. Tasks Task 4.1 Modelling framework Task 4.2 Data collection Task 4.3 Cost analysis Task 4.4 Socio- economic assessment

4. C R O P S T O I N D U S T R Y 2. Progress of work Modeling framework: first version ready Database structure: Prepared

5. C R O P S T O I N D U S T R Y 3. Results Task 4.1 Modelling framework

6. C R O P S T O I N D U S T R Y Cost analysis model layout

7. C R O P S T O I N D U S T R Y Input: Data from literature & consultations with partners. Information form the data collection exercise will be stored in two separate worksheets: one containing data relating to each crop and chain section and a second one containing assumptions considered in the selected crop-to-product schemes. References will be provided. Cost analysis: A sheet is set-up for each section of the crop chain, the output is a cost in €/ t per feedstock. Cost data will be linked to the data review sheets and referenced to ensure full transparency. Output: A summary sheet which is linked to each data processing sheet. This provides crop chain costs in €/t segmented by sector, scale and crop type (per conversion technology). Cost analysis model

8. C R O P S T O I N D U S T R Y Data collection & model validation  Apart from literature, data will be collected from selected stakeholders in participating countries or selected industrial ones suggested by the partner responsible for each feedstock.  Model versions will be regularly circulated for validation to project partners and the Steering Committee. Discussions with industrial representatives will be planned. These activities will be coordinated through various channels:  primarily email correspondence  telephone contact  face-to-face discussions.

9. C R O P S T O I N D U S T R Y Key issues Selection of crops Oil: Carbohydrate: Fibre: Other speciality: Countries per crop E.g. Rapeseed- DE/ FR

10. C R O P S T O I N D U S T R Y HEDEIAUUKPROFRNL Crop1 Crop 2

11. C R O P S T O I N D U S T R Y Results Task 4.2 Database with costs for the crop-to- product scheme steps in each region/ country

12. C R O P S T O I N D U S T R Y Overview of database Location Yields & increase projections Crop production regions with yields and costs Crop production costs Land Rent Labour costs Country/ region level data for crop costs

13. C R O P S T O I N D U S T R Y Location variables Name of member state Name of region (north/ south, etc.) Yield variables Irrigation requirements affecting yield - average amount of water (affecting costs). Yields monitored in three groups: Type of crop (annual- perennial) Average estimated yield (t/ha/yr) Optimistic estimated yield (t/ha/yr) Pessimistic estimated yield (t/ha/yr) Yield projections for 2020 & 2030 Database variables

14. C R O P S T O I N D U S T R Y Land value variables Member-state-level rent data will be included (at regional level where available). These will be further analysed in high, average and low values based on the quality of the land. Production cost variables for the different crops (in 2010 & 2020) Total economic production cost of X crop (€/ha/yr) excluding only land rent and assuming: i)average crop yield ii)optimistic crop yield iii)pessimistic crop yield. Database variables

15. C R O P S T O I N D U S T R Y Farm-gate price variables Farm-gate prices of studied crops will be calculated using: the average crop yield value the total production cost, with and without land cost. The final stage of the database will provide data on: Estimated average farm gate price (€/t) of crops. Database variables

16. C R O P S T O I N D U S T R Y Discussion List of selected crops? Member States where these crops are cultivated? Additional stakeholders that can provide cost related data? Comments/ suggestions to improve the model are very welcome!

17. C R O P S T O I N D U S T R Y 4. Status of deliverables & milestones D4.1: OK D4.2: OK

18. C R O P S T O I N D U S T R Y 5. Problems encountered A slight delay in selecting crops & populating the data base linked to the maturity of related deliverables in WP1, due M15.

19. C R O P S T O I N D U S T R Y 6. Plans for the next 6 months Run the model for selected crops (3 per crop category) Populate database with data from partners Contact stakeholders for cost data Validation of first results