A SYSTEMS APPROACH TO MODELLING WATER-ENERGY … · A SYSTEMS APPROACH TO MODELLING...
Transcript of A SYSTEMS APPROACH TO MODELLING WATER-ENERGY … · A SYSTEMS APPROACH TO MODELLING...
A SYSTEMS APPROACH TO MODELLING WATER-ENERGY-FOOD NEXUS
Slobodan P. Simonović Department of Civil and Environmental Engineering
The University of Western Ontario London, Ontario, Canada
WEF Modelling Conclusions 2|
• WEF nexus • New challenges • High level of integration • High level of complexity • Common concerns
• Systems approach
• Modelling of the whole system • System dynamics simulation (and optimization)
• Modelling of various scales
• Global • Regional • ….
• ANEMI model example
IISD, Winnipeg 2012 Slobodan P. Simonović
WEF Modelling Outline 3|
• Challenges of the new/old context • Integration • Systems approach • Example
• ANEMI model • Lessons learned
• Conclusions
IISD, Winnipeg 2012 Slobodan P. Simonović
WEF Context Definitions 4|
• Nexus? • A center point of something! • A center of various connections!
• Water, energy and food – pillars of global security, prosperity and equity
• Perspectives • Water perspective – food and energy systems are users of resources • Food perspective – water and energy are inputs • Energy perspective – water is the input and food is the output
• Vast individual areas • Policy and regulations often create sub-optimal solutions
IISD, Winnipeg 2012 Slobodan P. Simonović
WEF Context Challenges 5|
• Water-Energy-Food common concerns • Access to services • Environmental impacts • Price volatility
• Climate change • Mitigation – energy • Adaptation – land and water
• Growing population • Poverty • Health
• Management • Enormous opportunities for higher efficiency • Study of the whole complex system • Understanding interactions – it is all about feedbacks
• Scale • 1.4 billion people without access to electricity • 3 billion with out access to modern fuels or technologies for cooking and heating • 900 million people without access to safe drinking water • 2.6 billion do not have sanitation • 900 million people are chronically hungry • 2 billion people lack food security
IISD, Winnipeg 2012 Slobodan P. Simonović
WEF Modelling Systems approach 7|
IISD, Winnipeg 2012 Slobodan P. Simonović
• Consideration of all three areas together • Systems view
• Complexity • Whole system approach • Difficult to translate into government policy making processes
• System structure • Feedbacks • System behavior
WEF Modelling Example ANEMI 8|
IISD, Winnipeg 2012 Slobodan P. Simonović
• NSERC Discovery Grant (2005 – 2007) ANEMI ver 1 • NSERC Strategic Grant (2007 – 2011) ANEMI ver 2 • Project objectives
i. To develop system dynamics-based model sectors of all biophysical elements of the environment that are relevant to climate change.
ii. To develop system dynamics-based model sectors of all socio-economic elements of the environment that are relevant to climate change.
iii. To couple the biophysical sectors of the model with important socio-economic sectors.
iv. To provide support for communication between the science and policy communities.
v. To examine the effects of climate change on socio-economic and environmental sustainability through the model outputs.
• Interdisciplinary team • Systems modelling – engineering • Climate policy – geography and political science • Economics – economics
• Partners • Environment Canada • Natural Resources Canada • Department of Finance • Department of Fisheries and Oceans • Department of Agriculture
WEF Modelling Example ANEMI 9|
IISD, Winnipeg 2012 Slobodan P. Simonović
• Selection of the methodological approach • First workshop • ANEMI model development
• Structure • Sectors • Preliminary results
• Identification of key issues • Communication with the project
collaborators • Selection of simulation scenarios
• Second workshop • ANEMI model expansion
• Economy-energy integration • Model regionalization
• Model use • Scenario analyses • Model limitations
• Third workshop • Model transfer • Future work
Water stress Effects: Canada
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2020 2040 2060 2080 2100
Time (Year)
Wat
er S
tres
s E
ffec
ts (
dim
ensi
on
less
)
Base Condition 2 degree with transfer3 degree with transfer 4 degree with transfer2 degree 3 degree4 degree
WEF Modelling Example ANEMI 10|
IISD, Winnipeg 2012 Slobodan P. Simonović
Carbon
Climate
+
+
Land Use
+
+
Population
Energy-Economy
Surface Flow
-
+
+ Water Quality
Water Demand
−
−
+
+
+
+
−
−
Food
Production
+
-
-
-
-
+
+
+
+
Clearing
and
Burning
Land Use
Emissions
Temperature
Atmospheric
CO2
Water
Stress
Water
Consumption
Temperature
Consumption
and Labour
GDP
per
capita
Wastewater
Treatment
Wastewater
Reuse
Wastewater
Treatment and
Reuse
Water use Intensity
Industrial
emission
Water use
efficiency
Pollution
Index
Per capita
food
Water
Stress
Arable Land
Agricultural
allocation
Emission
Index
Fertility
+
Temperature
1. Carbon cycle
2. Climate
3. Water Use
4. Water Quality
5. Surface Flow
6. Population
7. Land Use
8. Food Production
9. Energy-Economy
WEF Modelling Example ANEMI - Water 11|
IISD, Winnipeg 2012 Slobodan P. Simonović
lossC
wlgwwares
2
00 C-C-C-E-
LSLSSF =SF
WEF Modelling Example ANEMI - Food 12|
IISD, Winnipeg 2012 Slobodan P. Simonović
)1(Fp lfhly PLAL
WEF Modelling Example ANEMI - Energy 13|
IISD, Winnipeg 2012 Slobodan P. Simonović
)--(1 E LKA =Y tttt
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ElEl AE
1
El,55El,44El,33El,22El,11 ) F+F+F+F+F( =
WEF Modelling Example ANEMI – Simulation & optimization 14|
IISD, Winnipeg 2012 Slobodan P. Simonović
WEF Modelling Example ANEMI – global and regional 15|
IISD, Winnipeg 2012 Slobodan P. Simonović
• Global model • Regional model – Canada and rest-of-the-world (ROW)
WEF Modelling Example ANEMI – policy scenarios 16|
IISD, Winnipeg 2012 Slobodan P. Simonović
• Policy communication process • Set of interviews • Identification of policy questions by the research team • Identification of scenarios
• Initial set of scenarios • Carbon pricing • Economic growth rate • Water pricing • North American water stress • Irrigation • Energy subsidies and pricing • Land use change
• Final choice • Carbon tax • Increased water use • Food production increase
WEF Modelling Example ANEMI – Carbon tax scenario (global) 17|
IISD, Winnipeg 2012 Slobodan P. Simonović
0
1
2
3
4
5
6
1980 2000 2020 2040 2060 2080 2100
10
11 G
J
Time
Energy Used for Electricity Production
Base
With Tax
0
100
200
300
400
500
1980 2000 2020 2040 2060 2080 2100
GD
P (
tril
lio
n $
)
Time
GDP
With Tax
Base
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400
450
500
550
600
1980 2000 2020 2040 2060 2080 2100
CO
2co
nce
ntr
ati
on
(p
pm
)
Time
Atmospheric CO2 Concentration
With Tax
Base
4
5
6
7
8
9
10
11
12
13
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1980 2000 2020 2040 2060 2080 2100
Po
pu
lati
on
(B
illi
on
)
Time
Global Population
With Tax
Base
WEF Modelling Example ANEMI – Increased water use scenario (global) 18|
IISD, Winnipeg 2012 Slobodan P. Simonović
15200
15300
15400
15500
15600
15700
15800
15900
1980 2000 2020 2040 2060 2080 2100
Su
rfa
ce w
ate
r (
km
^3
)
Time
Available Surface Water
Water use increase
Base
0.30
0.35
0.40
0.45
0.50
0.55
0.60
0.65
0.70
1980 2000 2020 2040 2060 2080 2100
Wa
ter
Str
ess
(dim
ensi
on
less
)
Time
Water Stress
Water use increase
Base
0
4000
8000
12000
16000
20000
1980 2000 2020 2040 2060 2080 2100
Fo
od
(tri
llio
n k
ilo
calo
rie
/yr)
Time
Food Production
Water use increase
Base
4
5
6
7
8
9
10
11
12
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14
1980 2000 2020 2040 2060 2080 2100
Po
pu
lati
on
(B
illi
on
)
Time
Global Population
Water use increase
Base
WEF Modelling Example ANEMI – Increased food production scenario (global) 19|
IISD, Winnipeg 2012 Slobodan P. Simonović
15200
15300
15400
15500
15600
15700
15800
15900
1980 2000 2020 2040 2060 2080 2100
Su
rfa
ce w
ate
r (k
m^
3)
Time
Available Surface Water
Increase in food production
Base
300
350
400
450
500
550
600
1980 2000 2020 2040 2060 2080 2100
CO
2co
nce
ntr
ati
on
(p
pm
)
Time
Atmospheric CO2 Concentration
Increase in food production
Base
4
5
6
7
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10
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12
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14
1980 2000 2020 2040 2060 2080 2100
Po
pu
lati
on
(B
illi
on
)
Time
Global Population
Increase in food production
Base
WEF Modelling Example ANEMI – Carbon tax scenario (regional) 20|
IISD, Winnipeg 2012 Slobodan P. Simonović
0
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10
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1980 2000 2020 2040 2060 2080 2100
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9G
J
Time
Total Energy Used in the Production of Aggregate Energy
Services (Canada)
With Tax
Base
0
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0.2
0.3
0.4
0.5
0.6
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0.8
1980 2000 2020 2040 2060 2080 2100
CO2
Emis
sion
s (G
t)
Time
Industrial CO2 Emissions from Fossil Fuel (Canada)
With Tax
Base
0
5
10
15
20
25
30
35
40
45
1980 2000 2020 2040 2060 2080 2100
Th
ou
san
d $
Time
GDP Per Capita (Canada)
Base
With Tax
WEF Modelling Example ANEMI – Increased water use scenario (regional) 21|
IISD, Winnipeg 2012 Slobodan P. Simonović
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
1980 2000 2020 2040 2060 2080 2100
Wa
ter
Str
ess(
dim
ensi
on
less
)
Time
Water Stress (Canada)
Water use increase
Base
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
1980 2000 2020 2040 2060 2080 2100
CO
2em
issi
on
s (G
t)
Time
CO2 Emissions from Fossil Fuel (Canada)
Water use increase
Base
WEF Modelling Example ANEMI – Increased food production scenario (regional) 22|
IISD, Winnipeg 2012 Slobodan P. Simonović
0
50
100
150
200
250
300
350
1980 2000 2020 2040 2060 2080 2100
Fo
od
(tri
llio
n k
ilo
calo
rie/
yr)
Time
Food Production(Canada)
Increase in food production
Base
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
1980 2000 2020 2040 2060 2080 2100
Wa
ter
Str
ess(
dim
ensi
on
less
)
Time
Water Stress (Canada)
Increase in food production
Base
WEF Modelling Example ANEMI – lessons learned 23|
IISD, Winnipeg 2012 Slobodan P. Simonović
• Systems approach • System dynamic simulation – complexity and integrated
modelling • Integration of simulation and optimization • Scenarios
• Global modelling
• Regional modelling
• ….
WEF Modelling Example ANEMI – conclusions 24|
IISD, Winnipeg 2012 Slobodan P. Simonović
• WEF nexus • New challenges • High level of integration • High level of complexity • Common concerns
• Systems approach
• Modelling of the whole system • System dynamics simulation (and optimization)
• Modelling of various scales
• Global • Regional • ….
• ANEMI model example
WEF Modelling Resources 25|
IISD, Winnipeg 2012 Slobodan P. Simonović
• Simonovic, S.P., and E.G.R. Davies (2006), “Are we modeling impacts of climate change properly?”, invited commentary, Hydrological Processes Journal, 20, pp.431-433.
• Davies, E.G.R. and S. P. Simonovic (2009). Energy Sector for the Integrated System Dynamics Model for Analyzing Behaviour of the Social-Economic-Climatic Model. Water Resources Research Report no. 063, Facility for Intelligent Decision Support, Department of Civil and Environmental Engineering, London, Ontario, Canada, 191 pages. ISBN: (print) 978-0-7714-2712-1; (online) 978-0-7714-2713-8.
• Davies, E.G.R, and S.P. Simonovic, (2010) “ANEMI: A New Model for Integrated Assessment of Global Change”, the Interdisciplinary Environmental Review special issue on Climate Change, 11(2/3):127-161.
• M. Khaled Akhtar,M.K., S. P. Simonovic, J. Wibe, J. MacGee and J. Davies (2011). An Integrated System Dynamics Model for Analyzing Behaviour of the Social-Energy-Economy-Climate System: Model Description. Water Resources Research Report no. 075, Facility for Intelligent Decision Support, Department of Civil and Environmental Engineering, London, Ontario, Canada, 211 pagesISBN: (print) 978-0-7714-2896-8; (online) 978-0-7714-2903-3.
• www.slobodansimonovic.com -> research -> fids