Evaluation of agricultural systems across time and spatial scales. An extended LCA approach. Amalia...
-
Upload
william-kent -
Category
Documents
-
view
216 -
download
1
Transcript of Evaluation of agricultural systems across time and spatial scales. An extended LCA approach. Amalia...
Evaluation of agricultural systems
across time and spatial scales. An
extended LCA approach.
Amalia Zucaro, Silvio Viglia and Sergio Ulgiati
IntroductionIntroduction
In times of depletion of fossil fuels and
minerals reservoirs, agriculture is a potential
source of food, fibers, energy, chemicals,
materials, jobs and landscape protection
(multifunctional role).
Problems and Challenges
1. Introduction
Focus is placed on agricultural systems in
order to implement opportunities and
synergies and suggest different scenarios at
different scales, from local to regional and
national.
The concept of multifunctionality expresses
the inescapable link of roles and functions
of agriculture with social, economic and
environmental aspects.
Materials and MethodsMaterials and Methods
Life Cycle Assessment- LCA
2. Materials and
Methods
Life Cycle Assessment- LCA
2. Materials and
Methods
LCA - Life Cycle Assessment
Processes &
Products
Processes, Products,
&Complex Systems
Extended LCA: SUMMA SUstainability Multimethod Multiscale Approach
2. Materials and
Methods
SYSTEM BOUNDARY
SUstainability Multimethod Multiscale Approach
SUstainability Multimethod Multiscale Approach
SUstainability Multimethod Multiscale Approach
SUstainability Multimethod Multiscale Approach
SUstainability Multimethod Multiscale Approach
SUstainability Multimethod Multiscale Approach
SUstainability Multimethod Multiscale Approach
SUstainability Multimethod Multiscale Approach
SUstainability Multimethod Multiscale Approach
Case studies
Urban System
Agricultural System
[. . .]
Catalonia
Finland
Forestry
Italy
Scotland
Lao Ulgiati et al.,
2010“Material, energy and
environmental performance of technological and socialsystems under a Life Cycle
Assessment perspective” Ecological Modelling.
SUMMA Application: SMILE project
3. Case studies
The Italian agricultural sector across time and hierarchical levels:Country-Region-FarmCountry-Region-Farm
(from 1985 to 2006)
The Italian agricultural sector across time and hierarchical levels:Country-Region-FarmCountry-Region-Farm
(from 1985 to 2006)
3. Case studies
Italian case study
3. Case studies
System diagram at National scales
3. Case studies
System diagram of agricultural sector
3. Case studies
System diagram of Farm
3. Case studies
Data collection: National scale Flows Unit 1985 1993 2002 2006
Rainfall g/yr 1.19E+17 9.71E+16 1.09E+17 1.03E+17Total land cropped ha/yr 1.70E+07 1.50E+07 1.45E+07 1.37E+07Fertilizers (N + PO4 + K2O) g/yr 1.96E+12 1.98E+12 1.60E+12 1.48E+12
Nitrogen (N) g/yr 1.01E+12 9.45E+11 8.51E+11 8.27E+11Phosphate (PO4) g/yr 6.10E+11 6.39E+11 4.27E+11 3.61E+11Potassium (K2O) g/yr 3.40E+11 3.91E+11 3.19E+11 2.94E+11
Electricity J/yr 1.18E+16 1.66E+16 1.76E+16 1.98E+16Water for irrigation g/yr 7.89E+15 4.64E+15 3.41E+15 2.35E+15Liquid fuels J/yr 7.92E+16 1.04E+17 8.46E+16 9.60E+16Machinery kg/yr 2.58E+08 2.32E+08 2.25E+08 2.17E+08Direct Labor hours/yr 2.19E+09 2.00E+09 1.88E+09 1.75E+09Direct Labor €/yr 4.58E+09 8.31E+09 1.61E+10 1.75E+10Indirect labor (services) €/yr 3.43E+09 5.54E+09 6.46E+09 8.11E+09Products Mass of agricultural production (dry matter) g d. m/yr 1.25E+14 1.12E+14 1.03E+14 9.63E+13Energy content of agricultural production J/yr 2.02E+18 1.81E+18 1.66E+18 1.55E+18Economic value of agricultural production €/yr 1.85E+10 2.26E+10 2.73E+10 2.53E+10Agricultural residues t d.m./yr 7.81E+06 7.01E+06 6.42E+06 6.02E+06
3. Case studies
Data collection: Regional scaleFlows Unit 1985 1993 2002 2006
Rainfall g/yr 7.59E+15 5.56E+15 5.17E+15 4.88E+15Total land cropped ha/yr 9.49E+05 7.42E+05 6.15E+05 6.03E+05Fertilizers (N + PO4 + K2O), TOTAL g/yr 9.36E+10 7.80E+10 8.94E+10 7.29E+10
Nitrogen (N) g/yr 5.95E+10 4.41E+10 5.25E+10 4.25E+10Phosphate (PO4) g/yr 2.53E+10 2.38E+10 2.53E+10 2.01E+10Potassium (K2O) g/yr 8.83E+09 1.01E+10 1.17E+10 1.03E+10
Electricity J/yr 4.61E+14 7.49E+14 7.99E+14 8.87E+14Water for irrigation g/yr 4.42E+14 2.30E+14 1.53E+14 1.04E+14Liquid fuels J/yr 4.10E+15 5.37E+15 5.73E+15 6.74E+15Machinery kg/yr 1.42E+07 1.15E+07 8.94E+06 9.07E+06Direct Labor hours/yr 1.46E+08 1.11E+08 8.93E+07 8.10E+07Direct Labor €/yr 3.07E+08 4.61E+08 7.68E+08 8.10E+08Indirect labor (services) €/yr 1.99E+08 5.09E+08 3.20E+08 4.26E+08Products Mass of agricultural production (dry matter) g d.m./yr 1.19E+13 1.30E+13 5.27E+12 5.09E+12Energy content of agricultural production J/yr 1.98E+17 2.16E+17 8.54E+16 7.99E+16Economic value of agricultural production €/yr 1.53E+09 1.72E+09 2.46E+09 2.22E+09Agricultural residues t d.m.//yr 7.44E+05 8.13E+05 3.30E+05 3.18E+05
3. Case studies
Data collection: Local scale Unit Lemon Farm Olive Farm Grape Farm
Rainfall g/yr 9.11E+09 6.67E+09 8.54E+09Total land cropped ha/yr 1.00E+00 1.00E+00 1.00E+00Fertilizers (N + PO4 + K2O), TOTAL g/yr 1.98E+05 1.40E+05 1.85E+05
Nitrogen (N) g/yr 8.00E+04 1.40E+05 7.50E+04Phosphate (PO4) g/yr 4.50E+04 0.00E+00 5.50E+04Potassium (K2O) g/yr 7.25E+04 0.00E+00 5.50E+04
Electricity J/yr 1.33E+09 0.00E+00 0.00E+00Water for irrigation g/yr 1.31E+09 2.00E+06 0.00E+00Liquid fuels J/yr 6.02E+09 6.19E+09 7.34E+09Machinery kg/yr 1.46E+04 2.55E+04 1.50E+04Direct Labor hours/yr 7.00E+02 6.56E+02 7.57E+02Direct Labor €/yr 7.00E+03 6.56E+03 7.57E+03Indirect Labor (services) €/yr 4.18E+03 1.33E+03 1.78E+03Products Mass of agricultural production (dry matter) g dry matter/yr 3.15E+06 2.32E+06 2.96E+06Energy content of agricultural production J/yr 1.38E+10 5.94E+10 3.87E+10Economic value of agricultural production €/yr 1.65E+04 3.50E+03 3.60E+03Agricultural residues t dry matter/yr 1.80E+00 3.60E+00 1.48E+00
Year 2006
3. Case studies
Data comparison: National-Regional-LocalFlows Unit Italia Campania Lemon Olive Grape
Rainfall g/yr 7.50E+09 8.10E+09 9.11E+09 6.67E+09 8.54E+09Total land cropped ha/yr 1.00E+00 1.00E+00 1.00E+00 1.00E+00 1.00E+00Fertilizers (N + PO4 + K2O), TOTAL g/yr 1.08E+05 1.21E+05 1.98E+05 1.40E+05 1.85E+05
Nitrogen (N) g/yr 6.03E+04 7.05E+04 8.00E+04 1.40E+05 7.50E+04Phosphate (PO4) g/yr 2.63E+04 3.34E+04 4.50E+04 0.00E+00 5.50E+04Potassium (K2O) g/yr 2.14E+04 1.71E+04 7.25E+04 0.00E+00 5.50E+04
Electricity J/yr 1.45E+09 1.47E+09 1.33E+09 0.00E+00 0.00E+00Water for irrigation g/yr 1.72E+08 1.73E+08 1.31E+09 2.00E+06 0.00E+00Liquid fuels J/yr 7.00E+09 1.12E+10 6.02E+09 6.19E+09 7.34E+09Machinery kg/yr 1.58E+01 1.46E+01 1.46E+04 2.55E+04 1.50E+04Direct Labor hours/yr 1.28E+02 1.34E+02 7.00E+02 6.56E+02 7.57E+02Direct Labor €/yr 1.28E+03 1.34E+03 7.00E+03 6.56E+03 7.57E+03Indirect labor (services) €/yr 5.92E+02 7.07E+02 4.18E+03 1.33E+03 1.78E+03Products Mass of agricultural production (dry matter) g d.m./yr 7.03E+06 8.45E+06 3.15E+06 2.32E+06 2.96E+06Energy content of agricultural production J/yr 1.14E+11 1.33E+11 1.38E+10 5.94E+10 3.87E+10Economic value of agricultural production €/yr 1.85E+03 3.68E+03 1.65E+04 3.50E+03 3.60E+03Agricultural residues t d.m.//yr 4.39E-01 5.28E-01 1.80E+00 3.60E+00 1.48E+00
Year 2006
3. Case studies
Results & Discussion
Results and Performance IndicatorsItaly: National case study
4. Results and
Discussion
0.00
0.50
1.00
1.50
2.00
2.50
MIabiot per unit of mass (g/gd.m.)
GER per unit of mass (J/g d.m.)
Oil equivalent intensity per unit mass (g/g d.m.)
1/EROI
Specific emergy (with L&S) (seJ/g d.m.)
1/EYR
ELR (with L&S)
Global warming per unit mass (CO2-equiv, g/gd.m.)
Acidification per unit mass (SO2-equiv, g/gd.m.)
1985 1993 2002 2006National scale over time
Results and Performance Indicators
4. Results and
Discussion
Results and Performance IndicatorsRegional scale over time
4. Results and
Discussion
0.00
0.50
1.00
1.50
2.00
2.50
3.00
MIabiot per unit mass (g/gd.m.)
Miwater per unit mass (g/gd.m.)
1/EYR
ELR
Specific emergy (seJ/ gd.m.)
GER per unit mass (J/ gd.m.)
Oil equivalent intensity per unit mass (g/g d.m.)
1/EROI
Global warming per unit mass (CO2-equiv, g/gd.m.)
Acidification per unit mass (SO2-equiv, g/gd.m.)
1985 1993 2002 2006
Comparison across
scales
Results and Performance Indicators
4. Results and
Discussion
-1.50-1.00-0.500.000.501.001.502.00
MIabiot per unit mass (g/gd.m.)
Miwater per unit mass (g/gd.m.)
GER per unit mass (J/g d.m.)
1/EROI
Specific emergy (seJ/g d.m.)
1/EYR
ELR
Global warming per unit mass(CO2-equiv, g/gd.m.)
Acidification per unit mass (SO2-equiv, g/gd.m.)
Italy Campania Lemon Olive Winegard
Synergies
SUMMA MSI ASEM ASAInvesti-gatedSystem
ScenariosPerformanceparameters
Cross-scaleconstraints
Environmental stress
Economic production
Social welfareA
B
Environmental stress
Economic production
Social welfareA
BB
-40
-30
-20
-10
0
10
20
1980 1985 1990 1995 2000
% o
f 198
0 D
E
DE
DM
GRbPRb(GDP/POP)
PRb(POP)
DE
SUMMA MSI ASEM ASAInvesti-gatedSystem
ScenariosPerformanceparameters
Cross-scaleconstraints
Environmental stress
Economic production
Social welfareA
B
Environmental stress
Economic production
Social welfareA
BB
-40
-30
-20
-10
0
10
20
1980 1985 1990 1995 2000
% o
f 198
0 D
E
DE
DM
GRbPRb(GDP/POP)
PRb(POP)
DE
SUMMA MSI ASEM ASAInvesti-gatedSystem
ScenariosPerformanceparameters
Cross-scaleconstraints
Environmental stress
Economic production
Social welfareA
B
Environmental stress
Economic production
Social welfareA
BB
-40
-30
-20
-10
0
10
20
1980 1985 1990 1995 2000
% o
f 198
0 D
E
DE
DM
GRbPRb(GDP/POP)
PRb(POP)
DE
SUMMA MSI ASEM ASAInvesti-gatedSystem
ScenariosPerformanceparameters
Cross-scaleconstraints
Environmental stress
Economic production
Social welfareA
B
Environmental stress
Economic production
Social welfareA
BB
-40
-30
-20
-10
0
10
20
1980 1985 1990 1995 2000
% o
f 198
0 D
E
DE
DM
GRbPRb(GDP/POP)
PRb(POP)
DE
DECOIN Toolkit
ITALYITALYLevel Level n+2n+2
Level Level n+1n+1
Level Level nn
Level Level n-1 n-1
Other Sectors Other Sectors in Italyin Italy
Agricultural Agricultural Sector in ItalySector in Italy
Other Other Agricultural Agricultural
AreasAreas
Agricultural Agricultural Sector in CampaniaSector in Campania
OlivesOlives VineyarVineyardd
LemonsLemonsOther Other CropsCrops
Integration SUMMA - MuSIASEM(Multi-Scale Integrated Analysis Societal Ecosystem Metabolism)
5. Synergies
Agricultural sector year 2006
€
MJTETGDP
=
TETTHA
GDPTHA
Campania (regional scale)= 6.28 MJ/€
Campania = 186 MJ/hr
Campania = 27 €/hr
€
MJTETGDP
=
TETTHA
GDPTHA
Italy (National scale) = 10.48 MJ/€
Italy = 152 MJ/hr
Italy = 14 €/hr
5. Synergies
€
MJTETGDP
=
TETTHA
GDPTHA
Lemon (local scale) = 3.06 MJ/€
Lemon = 72 MJ/hr
Lemon= 24 €/hr
Agricultural sector year 2006
€
MJTETGDP
=
TETTHA
GDPTHA
Olive (local scale) = 7.76 MJ/€
Olive = 41 MJ/hr
Olive = 5 €/hr
€
MJTETGDP
=
TETTHA
GDPTHA
Grape (local scale) = 8.69 MJ/€
Grape = 41 MJ/hr
Grape = 5 €/hr
5. Synergies
Integration SUMMA-ASA (Advanced Sustainability Analysis)
Decomposition
CO2 emissions are determined by
CO2 intensity of the economy (CO2/GDP) economic activity (GDP)
GDPGDP
COCO 2
2
5. Synergies
ASA decomposition ASA decomposition can be
deepened
TPES is primary energy supply
FEC is final energy
consumption
CO2/TPES is CO2 intensity of
primary energy use
TPES/FEC is intensity of
energy system
FEC/GDP is energy intensity
of production
GDPGDP
COCO 2
2
GDPGDP
TPES
TPES
COCO 2
2
GDPGDP
FEC
FEC
TPES
TPES
COCO 2
2
POPPOP
GDP
GDP
FEC
FEC
TPES
TPES
COCO 2
2
5. Synergies
AAAA
labor
labor
GDP
GDP
U
U
R
R
NFNF
)()(
Change in nonrenewable emergy in agricultural sector of Campania as % of 1985 value
29,8
58,6
97,4
-62,5
-19,8
-35,0
2,6 1,2
41,4
95,3
64,0
-26,3
-54,3-62,8
4,310,9
39,2
-70,2
-32,0
-11,2
38,0
-80
-60
-40
-20
0
20
40
60
80
100
120
1993
2002
2006
%
F+N / R
R / U
U / GDP
GDP / labor
labor / AA
AA
Total effect onnonrenewable emergy
ASA decomposition of emergy indicators from Campania region
6. Synergies
Conclusion
SUMMAry of results The conventional LCA approach was improved (SUMMA) for
Complex Systems assessment (firms, farms, production
sectors, economies)
Focus can be placed on different steps, time & spatial
scales, and development levels
Quantitative and qualitative performance indicators
are designed, as a basis for policy choices
Identification of bottlenecks and limiting factors is
made easier
Integration with MuSIASEM and ASA allows societal
constraints investigation, identification of drivers
of change, and finally allows alternative scenario
designs.
6. Conclusion
Thank you for your attention!