Energy-Use Indicator. CAPRI-DynaSpat Work Package N 6

Transcription

1 Eidgenössisches Volkswirtschaftsdepartement EVD Forschungsanstalt Agroscope Reckenholz-Tänikon ART Energy-Use Indicator CAPRI-DynaSpat Work Package N 6 Tim Kränzlein and Gabriele Mack 1) CAPRI-DynaSpat Final Meeting, February 27, ) This presentation was prepared with the support of the State Secretariat for Education and Research, SER, Berne, Switzerland

2 Agroscope Reckenholz-Tänikon Research Station, ART CAPRI-DynaSpat Project Responsible for Work Package N 6: Gabi Mack,Tim Kränzlein 2

3 Content 1. Defining the given task 2. Methodological and database aspects (examples) Machinery Diesel fuel Drying Buildings 3. Results 4. Outlook and discussion 3

4 Defining the given task Objectives - Improving the environmental pressure indicators - Quantifying energy requirements of agricultural production in detail Work description - Setting up process-related parameters on energy requirements - Considering major prevailing production and housing systems - Displaying regional differences - Developing a projection module 4

5 Energy requirements of agricultural production Covers (beside others): machinery buildings concentrates fertilizer fuels pesticides 5

6 Energy Resources System Border Direct Input Fuels, Lubricants Combustibles Electricity Indirect Input Buildings Machinery, Facilities Seed, Pesticides Mineral Fertiliser Basic Ration, Concentrates Young Animals, Straw CAPRI Production Activities Plant Production: Cultivation Fertilizing Application of organic manure Seeding Chemical Plant Protection Mechanical Plant Protection Harvesting Transportation Animal Production: Feeding Milking Manure Management Transportation Product Treatment Arable Crops Drying Cleaning, Sorting Fodder Production Conservation Drying Storage Animal Production Milk Cooling Agricultural Sector Products Arable Crops Soft Wheat Barley Rape Potatoes etc. Fodder Production Grass Grass Silage Hay Animal Production Milk Young Animals Beef Side-Products Straw, Org. Manure 6

7 Energy requirements: assessment coefficients - Consideration of the consumption of all non-renewable energy resources - System border: all along the production chain of direct / indirect inputs - Uniform methodological approach - Database: Agroscope ART / Ecoinvent, SALCA061 database 1 kg Diesel 7

8 Machinery and diesel fuel Methodology for machinery energy: - Assessing all tractors and harvesters in all NUTS-II (EUROSTAT, national sources) - Consideration of energy requirements during useful life of machinery (KTBL, Ecoinvent, ART) - Adding trailed machinery - Consideration of grassland use and yields - Including energy required for machinery shed Methodology for diesel-fuel requirements: - Consideration of soil quality, plot size, no-till percentage - Grassland use and yields - National consumption levels 8

9 Energy assessment Energy requirement by machinery depreciation Unit: MJ/ha Activity-based machinery weight: Allocation by: Crop statistics, operating time Lifetime distribution Weight assessment All tractors (NUTSII) Source: Fendt 9

10 Sectoral adjustment Energy requirement by Diesel fuel Unit: MJ/ha Energy assessment Soil quality Parcel size Activity 10

11 Champagne-Ardenne: Soft wheat machinery energy diesel energy Champagne- Ardenne Machinery Energy (MJ/ha) 1241 Diesel fuel

12 Cereal grain drying Problem : - Relevent energy requirements depending on moisture content at harvest but: statistical data available only for a few regions Methodology: development of an estimation model based on: - Statistical data on moisture at harvest if available - Climate data from CRU University of East Anglia (long-term and annual data ) - Crop data from JRC (to exclude non-relevant observation points) Setting up the model: - Principal Component Analysis (5 activities) - Linear estimation model using 5 PCs Source: Dryiar.com 12

13 Mecklenburg-Vorpommern: Rye drying Drying energy energy Mecklenburg- Vorpommern Drying requirements Share of drying energy Energy (MJ/ha) % 13

14 Buildings` energy requirements Problem: lack of statistical data on number, age and structure of buildings...therefore: - Use of UN-Data - Dividing EU into Iso-Buildings-Regions - North / Middle / South - Use of herd size distributions from EUROSTAT 14

15 Energy assessment Energy requirement for building depreciation and maintenance; Unit: MJ/head Herd Size distribution Building type Using UN-Data Animal activity per Region 15

16 Buildings` energy requirements Dairy cow Dairy cow (Észak- Magyarország) Energy (MJ/head) Bull fattening Building Share building ,8% Bull fattening (Veneto) Building Share building ,4% 16

17 Soft wheat Energy input per ha Energy input per kg Champagne-Ardenne requirements requirements (MJ/ha) (MJ/kg) 2,89 17

18 Rye Energy input per ha Energy input per kg Mecklenburg-Vorpommern requirements requirements (MJ/ha) (MJ/kg) 2,54 18

19 Dairy cow Energy input per head Energy input per kg milk Észak-Magyarország requirements requirements (MJ/hd.) (MJ/kg) 6,29 19

20 Bull fattening Energy input per head Energy input per kg meat Veneto requirements requirements (MJ/hd.) (MJ/MJ) 33,56 20

21 Outlook and discussion CAPRI WP N 6 Work package completed Further steps: - Use of the energy indicator within PhD thesis - Therefore: assessment of energy requirements on the basis of CO 2 -equivalents - Analysis of energy effects of existing policy schemes (setaside obligation etc.) - Regional product portfolio establishing reduction obligations on CO 2 -equivalents 21