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 Modelling 2|WEF Conclusions • • • • • • • • • • • • • 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 Exeter, 2012 Slobodan P. Simonović Modelling 3|WEF Outline • • • • Challenges of the new/old context Integration Systems approach Example • • • ANEMI model Lessons learned Conclusions Exeter, 2012 Slobodan P. Simonović Context 4|WEF Definitions • 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 Exeter, 2012 Slobodan P. Simonović Context 5|WEF Challenges • Water-Energy-Food common concerns • • • • Growing population • • • Mitigation – energy Adaptation – land and water Management • • • • Poverty Health Climate change • • • Access to services Environmental impacts Price volatility 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 Exeter, 2012 Slobodan P. Simonović Modelling 7|WEF Systems approach • • 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 Exeter, 2012 Slobodan P. Simonović Modelling 8|WEF Example ANEMI • • • i. NSERC Discovery Grant (2005 – 2007) ANEMI ver 1 NSERC Strategic Grant (2007 – 2011) ANEMI ver 2 Project objectives ii. iii. • • • • • • • • • • To develop system dynamics-based model of society-biosphere-climate system To provide support for communication between the science and policy communities. 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 Exeter, 2012 Slobodan P. Simonović Modelling 9|WEF Example ANEMI • • • • • • • • • • • • • • • • 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 0.28 Water Stress Effects (dimensionless) • • • 0.26 0.24 0.22 Base Condition 3 degree with transfer 2 degree 4 degree 2 degree with transfer 4 degree with transfer 3 degree 0.20 0.18 0.16 0.14 0.12 2020 2040 Exeter, 2012 2060 Slobodan P. 2080 Simonović2100 Time (Year) Modelling 10| WEF Example ANEMI Land Use Emissions + Carbon Atmospheric + + CO2 Emission Arable Land + Index Food Industrial Production emission + + Temperature Per capita Agricultural food allocation Consumption + − and Labour Energy-Economy Temperature Pollution Index Land Use + Clearing and Burning Water use efficiency Fertility + - - - - Water Stress + + Water Demand + Wastewater Reuse Wastewater Treatment + Water Consumption + − Water Stress Surface Flow Carbon cycle 2. Climate 3. Water Use 4. Water Quality 5. Surface Flow 6. Population 7. Land Use 8. Food Production 9. Energy-Economy Climate Water use Intensity − Population + GDP per capita 1. Water Quality − Wastewater Treatment and Reuse + Temperature Exeter, 2012 Slobodan P. Simonović Modelling 11| WEF Example ANEMI – Stock and flow diagrams Exeter, 2012 Slobodan P. Simonović Modelling 12| WEF Example ANEMI - Equations Available water resources Two stocks (oceans and land surface) Flows (evaporation, evapotranspiration, advection, precipitation, snow and ice melt, percolation, ocean runoff) AM E M Adv PO dt AL Adv ET PR PS dt LS PR ET SF GP dt O SF GD PO M E M dt GS GP GD dt IS PS M dt EM EM 0 T feedback Adv Adv0 1 adv / 100 PO PO 0 AM AM 0 PR PL PS Cwl GP GP0 LS GD GD0 GS LS 0 GS0 C gw GW Exeter, 2012 Slobodan P. Simonović Modelling 13| WEF Example ANEMI – Simulation & optimization Exeter, 2012 Slobodan P. Simonović Modelling 14| WEF Example ANEMI – global and regional • • Global model Regional model – Canada and rest-of-the-world (ROW) Exeter, 2012 Slobodan P. Simonović Modelling 15| WEF Example ANEMI – policy scenarios • • • • • • • • • • • • • • • • 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 Exeter, 2012 Slobodan P. Simonović Modelling 16| WEF Example ANEMI – Carbon tax scenario (global) GDP Energy Used for Electricity Production 500 5 Base 4 With Tax 400 GDP (trillion $) 1011 GJ 6 3 2 With Tax Base 300 200 100 1 0 1980 2000 2020 2040 Time 2060 2080 0 1980 2100 2000 2060 2080 2100 Global Population 14 600 13 With Tax Base Population (Billion) CO2 concentration (ppm) 2040 Time Atmospheric CO2 Concentration 550 2020 500 450 400 12 With Tax 11 Base 10 9 8 7 6 350 5 300 1980 2000 2020 2040 Time 2060 2080 2100 4 1980 2000 2020 2040 Time Exeter, 2012 2060 2080 Slobodan P. Simonović 2100 Modelling 17| WEF Example ANEMI – Increased water use scenario (global) Available Surface Water Water Stress 15900 Water use increase Base Water Stress (dimensionless) Surface water (km^3) 15800 0.70 15700 15600 15500 15400 15300 15200 1980 2000 2020 2040 2060 2080 0.65 0.60 0.55 0.50 0.45 0.40 0.35 0.30 1980 2100 Water use increase Base 2000 2020 Time Food Production 2080 2100 Global Population 13 Water use increase Base 12 Population (Billion) Food(trillion kilocalorie /yr) 2060 14 20000 16000 2040 Time 12000 8000 4000 Water use increase Base 11 10 9 8 7 6 5 0 1980 2000 2020 2040 Time 2060 2080 2100 4 1980 2000 2020 2040 Time Exeter, 2080 2012 2060 2100 Slobodan P. Simonović Modelling 18| WEF Example ANEMI – Increased food production scenario (global) Available Surface Water Atmospheric CO2 Concentration 15900 CO2 concentration (ppm) 15700 Increase in food production Base 15600 15500 15400 15300 15200 1980 2000 2020 2040 2060 2080 Increase in food production Base 550 500 450 400 350 300 1980 2100 2000 2020 2040 2060 2080 2100 Time Time Global Population 14 Population (Billion) Surface water (km^3) 15800 600 13 Increase in food production 12 Base 11 10 9 8 7 6 5 4 1980 2000 2020 2040 Time 2060 2080 2100 Exeter, 2012 Slobodan P. Simonović Modelling 19| WEF Example ANEMI – conclusions • • • • • • • • • • • • • 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 Exeter, 2012 Slobodan P. Simonović Modelling 20| WEF Resources • • • • • • 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) 978-0-77142712-1; (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. Davise, E.G.R. and S.P. Simonovic (2011). “(2011) “Water Resources and Integrated Assessment Modeling – the ANEMI Model”, Advances in Water Resources (available online: 18 February 2011), 34:684-700. www.slobodansimonovic.com -> research -> fids Exeter, 2012 Slobodan P. Simonović