1. ECO-BOND GRAPHS An Energy-Based Modeling and Simulation Framework for Complex Dynamic Systems with a focus on Sustainability and Embodied Energy Flows Dr. Rodrigo Castro ETH Zürich, Switzerland. University of Buenos Aires & CIFASIS-CONICET, Argentina. The 10th International Multidisciplinary Modelling & Simulation Multiconference The 1st Int’l. Workshop on Simulation for Energy, Sustainable Development & Environment

2. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 2 Problem formulation Problem formulation – Emergy tracking & Complex Dynamics Systems Possible approaches Possible approaches Our approach Our approach – Networked Complex Processes – 3-faceted representation of energy flows The Bond Graph formalism The Bond Graph formalism The new Eco Bond Graphs The new Eco Bond Graphs – Definition – Examples – Simulation results Conclusions Conclusions Agenda

3. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 3 System Theoretic Approach Complex Dynamics Systems Complex Dynamics Systems – Global scale socio-natural processes We live in a nonlinear world, mostly away from equilibrium Problem formulation

4. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 4 System Theoretic Approach Complex Dynamics Systems Complex Dynamics Systems – Global scale socio-natural processes We live in a nonlinear world, mostly away from equilibrium Problem formulation

5. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 5 System Theoretic Approach Complex Dynamics Systems Complex Dynamics Systems – Global scale socio-natural processes We live in a nonlinear world, mostly away from equilibrium Problem formulation 

6. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 6 System Theoretic Approach Complex Dynamics Systems Complex Dynamics Systems – Global scale socio-natural processes We live in a nonlinear world, mostly away from equilibrium Problem formulation 

7. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 7 Storages and Processes Problem formulation Flows of Mass and Energy Flows of Mass and Energy – Each process can abstract several internal sub processes

8. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 8 Storages and Processes Problem formulation Flows of Mass and Energy Flows of Mass and Energy – Each process can abstract several internal sub processes

9. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 9 Storages and Processes Problem formulation Flows of Mass and Energy Flows of Mass and Energy – Each process can abstract several internal sub processes

10. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 10 Storages and Processes Problem formulation Flows of Mass and Energy Flows of Mass and Energy – Each process can abstract several internal sub processes

11. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 11 Storages and Processes Problem formulation “Grey Energy” Flows of Mass and Energy Flows of Mass and Energy – Each process can abstract several internal sub processes

12. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 12 Storages and Processes Problem formulation “Grey Energy” Flows of Mass and Energy Flows of Mass and Energy – Each process can abstract several internal sub processes – We want to model systematically this type of systems – Structural approach  Sustainability properties

13. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 13 Sankey Diagrams Sankey Diagrams – Static (snapshot-like) World Energy Flow. Considering energy losses Possible approaches

14. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 14 Sankey Diagrams Sankey Diagrams – Static (snapshot-like) World Energy Flow. Considering energy losses Possible approaches

15. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 15 Considering energy losses Energy System Language (H.T. Odum) Energy System Language (H.T. Odum) – Account for dynamics  Differential Eqns. Possible approaches

16. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 16 Considering energy losses Energy System Language (H.T. Odum) Energy System Language (H.T. Odum) – Account for dynamics  Differential Eqns. Possible approaches

17. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 17 Considering energy losses Energy System Language (H.T. Odum) Energy System Language (H.T. Odum) – Account for dynamics  Differential Eqns. Possible approaches

18. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 18 Considering energy losses Energy System Language (H.T. Odum) Energy System Language (H.T. Odum) – Account for dynamics  Differential Eqns. Possible approaches

19. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 19 Networked processes Multi Input/Multi Output Processes Multi Input/Multi Output Processes – Including recycling paths Our approach

20. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 20 Networked processes Multi Input/Multi Output Processes Multi Input/Multi Output Processes – Including recycling paths Our approach

21. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 21 Networked processes Multi Input/Multi Output Processes Multi Input/Multi Output Processes – Including recycling paths Our approach

22. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 22 Focus on mass flows 3-Faceted representation 3-Faceted representation Our approach

23. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 23 Focus on mass flows 3-Faceted representation 3-Faceted representation Our approach Balance: Mass and Energy

24. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 24 Focus on mass flows 3-Faceted representation 3-Faceted representation Our approach Balance: Mass and Energy Tracking: Emergy

25. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 25 Focus on mass flows 3-Faceted representation 3-Faceted representation Our approach Balance: Mass and Energy Tracking: Emergy

26. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 26 Minimum required formulation Minimum required formulation – To achieve the modeling goal systematically How do we formalize and generalize this structure ? How do we formalize and generalize this structure ? Basic formulation Our approach

27. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 27 Bondgraph is a graphical modeling technique Bondgraph is a graphical modeling technique – Rooted in the tracking of power [Joules/sec=Watt] – Represented by effort variables (e) and flow variables (f) Bondgraphic approach The Bond Graph Formalism e f Power = e · f e: Effort f: Flow

28. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 28 Bondgraph is a graphical modeling technique Bondgraph is a graphical modeling technique – Rooted in the tracking of power [Joules/sec=Watt] – Represented by effort variables (e) and flow variables (f) Goal: Goal: – Sound physical modeling of generalized flows of energy – Self checking capabilities for thermodynamic feasibility Strategy: Strategy: – Bondgraphic modeling of phenomenological processes – Including emergy tracking capabilities Bondgraphic approach The Bond Graph Formalism e f Power = e · f e: Effort f: Flow

29. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 29 Energy domains Bondgraph is multi-energy domain Bondgraph is multi-energy domain The Bond Graph Formalism e f

30. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 30 Energy Domain e Effort variable f Flow variable Mechanical, translation ForceLinear velocity Mechanical, rotationTorqueAngular velocity ElectricalElectromotive forceCurrent MagneticMagnetomotive forceFlux rate HydraulicPressureVolumetric flow rate Thermaltemperatureentropy flow rate Energy domains Bondgraph is multi-energy domain Bondgraph is multi-energy domain The Bond Graph Formalism e f

31. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 31 As every bond defines two separate variables – The effort e and the flow f – We need two equations to compute values for these two variables It is always possible to compute one of the two variables at each side of the bond. Causal Bonds The Bond Graph Formalism e f

32. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 32 As every bond defines two separate variables – The effort e and the flow f – We need two equations to compute values for these two variables It is always possible to compute one of the two variables at each side of the bond. A vertical bar symbolizes the side where the flow is being computed. Causal Bonds The Bond Graph Formalism e f

33. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 33 Local balances of energy Local balances of energy Junctions The Bond Graph Formalism 0 e1e1 e2e2 e3e3 f1f1 f2f2 f3f3 e 2 = e 1 e 3 = e 1 f 1 = f 2 + f 3  1 e1e1 e2e2 e3e3 f1f1 f2f2 f3f3 f 2 = f 1 f 3 = f 1 e 1 = e 2 + e 3 

34. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 34 Local balances of energy Local balances of energy Junctions The Bond Graph Formalism 0 e1e1 e2e2 e3e3 f1f1 f2f2 f3f3 e 2 = e 1 e 3 = e 1 f 1 = f 2 + f 3  1 e1e1 e2e2 e3e3 f1f1 f2f2 f3f3 f 2 = f 1 f 3 = f 1 e 1 = e 2 + e 3  Junctions of type 0 have only one flow equation, and therefore, they must have exactly one causality bar.

35. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 35 Local balances of energy Local balances of energy Junctions The Bond Graph Formalism 0 e1e1 e2e2 e3e3 f1f1 f2f2 f3f3 e 2 = e 1 e 3 = e 1 f 1 = f 2 + f 3  1 e1e1 e2e2 e3e3 f1f1 f2f2 f3f3 f 2 = f 1 f 3 = f 1 e 1 = e 2 + e 3  Junctions of type 0 have only one flow equation, and therefore, they must have exactly one causality bar. Junctions of type 1 have only one effort equation, and therefore, they must have exactly (n-1) causality bars.

36. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 36 An electrical energy domain model An electrical energy domain model Example I The Bond Graph Formalism Electrical Circuit

37. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 37 An electrical energy domain model An electrical energy domain model Example I The Bond Graph Formalism Electrical Circuit Voltage Source Capacitor Resistor Inductor Resistor

38. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 38 An electrical energy domain model An electrical energy domain model Example I The Bond Graph Formalism Bondgraphic equivalentElectrical Circuit Voltage Source Capacitor Resistor Inductor Resistor

39. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 39 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Bondgraphic model

40. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 40 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Bondgraphic model

41. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 41 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations Bondgraphic model

42. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 42 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) Bondgraphic model

43. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 43 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f Bondgraphic model

44. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 44 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f d/dt L1.f = U0.e / L1 Bondgraphic model

45. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 45 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f d/dt L1.f = U0.e / L1 R1.e = U0.e – C1.e Bondgraphic model

46. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 46 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f d/dt L1.f = U0.e / L1 R1.e = U0.e – C1.e R1.f = R1.e / R1 Bondgraphic model

47. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 47 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f d/dt L1.f = U0.e / L1 R1.e = U0.e – C1.e R1.f = R1.e / R1 C1.f = R1.f – R2.f Bondgraphic model

48. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 48 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f d/dt L1.f = U0.e / L1 R1.e = U0.e – C1.e R1.f = R1.e / R1 C1.f = R1.f – R2.f d/dt C1.e = C1.f / C1 Bondgraphic model

49. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 49 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f d/dt L1.f = U0.e / L1 R1.e = U0.e – C1.e R1.f = R1.e / R1 C1.f = R1.f – R2.f d/dt C1.e = C1.f / C1 R2.f = C1.e / R2 Bondgraphic model

50. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 50 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f d/dt L1.f = U0.e / L1 R1.e = U0.e – C1.e R1.f = R1.e / R1 C1.f = R1.f – R2.f d/dt C1.e = C1.f / C1 R2.f = C1.e / R2 Bondgraphic model

51. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 51 Example I The Bond Graph Formalism U0.e C1.e R1.e U0.fL1.fR1.f R2.fC1.f Systematic derivation of equations U0.e = f(t) U0.f = L1.f + R1.f d/dt L1.f = U0.e / L1 R1.e = U0.e – C1.e R1.f = R1.e / R1 C1.f = R1.f – R2.f d/dt C1.e = C1.f / C1 R2.f = C1.e / R2 Bondgraphic model

52. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 52 A multi-energy domain model A multi-energy domain model – Electricity – Mechanical rotational – Mechanical translational Example II The Bond Graph Formalism Special elements such as Gyrator and Transformer convert energy flows across diff. physical domains

53. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 53 A multi-energy domain model A multi-energy domain model – Electricity – Mechanical rotational – Mechanical translational Example II The Bond Graph Formalism Special elements such as Gyrator and Transformer convert energy flows across diff. physical domains

54. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 54 A multi-energy domain model A multi-energy domain model – Electricity – Mechanical rotational – Mechanical translational Example II The Bond Graph Formalism uaua iaia iaia iaia iaia u Ra u La uiui τ ω1ω1 ω1ω1 ω1ω1 ω1ω1 τ B3 τ B1 τ J1 ω2ω2 ω 12 ω2ω2 ω2ω2 ω2ω2 τ k1 τGτG FGFG v v v v v F B2 F k2 FmFm -m·g τ J2 Special elements such as Gyrator and Transformer convert energy flows across diff. physical domains

55. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 55 Facets and Bonds Bond Graph variables for Complex Systems Bond Graph variables for Complex Systems – Facets 1 and 2 Power variables: – Specific Enthalpy [J/kg] (an effort variable) – Mass Flow [kg/sec] (a flow variable). [J/sec] = [J/kg] · [kg/sec] represents power Information variable – Mass [Kg] (a state variable) – Facet 3 (the emergy facet) Information variable – Specific Emergy [J/kg] (a structural variable) – [J/sec] = [J/kg] · [kg/sec] also denotes power Eco Bond Graphs EcoBG

56. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 56 Facets and Bonds Bond Graph variables for Complex Systems Bond Graph variables for Complex Systems – Facets 1 and 2 Power variables: – Specific Enthalpy [J/kg] (an effort variable) – Mass Flow [kg/sec] (a flow variable). [J/sec] = [J/kg] · [kg/sec] represents power Information variable – Mass [Kg] (a state variable) – Facet 3 (the emergy facet) Information variable – Specific Emergy [J/kg] (a structural variable) – [J/sec] = [J/kg] · [kg/sec] also denotes power Eco Bond Graphs EcoBG

57. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 57 Facets and Bonds Bond Graph variables for Complex Systems Bond Graph variables for Complex Systems – Facets 1 and 2 Power variables: – Specific Enthalpy [J/kg] (an effort variable) – Mass Flow [kg/sec] (a flow variable). [J/sec] = [J/kg] · [kg/sec] represents power Information variable – Mass [Kg] (a state variable) – Facet 3 (the emergy facet) Information variable – Specific Emergy [J/kg] (a structural variable) – [J/sec] = [J/kg] · [kg/sec] also denotes power Eco Bond Graphs EcoBG

58. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 58 Facets and Bonds Bond Graph variables for Complex Systems Bond Graph variables for Complex Systems – Facets 1 and 2 Power variables: – Specific Enthalpy [J/kg] (an effort variable) – Mass Flow [kg/sec] (a flow variable). [J/sec] = [J/kg] · [kg/sec] represents power Information variable – Mass [Kg] (a state variable) – Facet 3 (the emergy facet) Information variable – Specific Emergy [J/kg] (a structural variable) – [J/sec] = [J/kg] · [kg/sec] also denotes power Eco Bond Graphs EcoBG

59. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 59 Facets and Bonds Bond Graph variables for Complex Systems Bond Graph variables for Complex Systems – Facets 1 and 2 Power variables: – Specific Enthalpy [J/kg] (an effort variable) – Mass Flow [kg/sec] (a flow variable). [J/sec] = [J/kg] · [kg/sec] represents power Information variable – Mass [Kg] (a state variable) – Facet 3 (the emergy facet) Information variable – Specific Emergy [J/kg] (a structural variable) – [J/sec] = [J/kg] · [kg/sec] also denotes power Eco Bond Graphs EcoBG

60. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 60 Accumulators The EcoBG Storage element The EcoBG Storage element – A Capacitive Field (CF) accumulates more than one quantity: Enthalpy, Mass and Emergy Eco Bond Graphs The specific enthalpy is a property of the accumulated mass Known in advance -> A parameter q

61. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 61 Junctions The EcoBG 0-Junction The EcoBG 0-Junction Eco Bond Graphs M1M1 M2M2 M3M3

62. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 62 Reusable structures Basic unit based on EcoBG elements Basic unit based on EcoBG elements – An important “building block” Storage of mass and energy adhering to the proposed 3-Faceted approach: Eco Bond Graphs M1M1 M2M2 M3M3

63. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 63 Modeling processes EcoBG Process elements EcoBG Process elements Eco Bond Graphs PR(  )

64. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 64 Modeling processes EcoBG Process elements EcoBG Process elements Eco Bond Graphs PR(  )

65. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 65 Modeling processes EcoBG Process elements EcoBG Process elements Eco Bond Graphs PR(  )

66. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 66 Example Extraction of renewable resources for consumption Extraction of renewable resources for consumption Eco Bond Graphs

67. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 67 Example Extraction of renewable resources for consumption Extraction of renewable resources for consumption Eco Bond Graphs Natural Renewable Primary Reservoir Natural Renewable Primary Reservoir Consumption Secondary Reservoir Supply Process Demand Process

68. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 68 Software tools EcoBG library implemented in the Dymola® tool. EcoBG library implemented in the Dymola® tool. Eco Bond Graphs

69. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 69 Software tools EcoBG library implemented in the Dymola® tool. EcoBG library implemented in the Dymola® tool. Eco Bond Graphs Natural Renewable Primary Reservoir Natural Renewable Primary Reservoir Consumption Secondary Reservoir Supply Process Demand Process

70. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 70 The Mass Layer Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

71. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 71 The Mass Layer Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

72. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 72 The Mass Layer Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

73. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 73 The Mass Layer Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

74. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 74 The Mass Layer Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

75. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 75 Energy and Emergy Layers Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

76. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 76 Energy and Emergy Layers Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

77. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 77 Energy and Emergy Layers Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

78. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 78 Energy and Emergy Layers Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

79. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 79 Energy and Emergy Layers Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

80. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 80 Energy and Emergy Layers Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

81. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 81 Energy and Emergy Layers Eco Bond Graphs Rain Accumulated Deposit (M a ) Consumption Reservoir (M c ) Human Demand

82. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 82 Accumulated quantities (Deposit and Reservoir) Accumulated quantities (Deposit and Reservoir) Simulation results Eco Bond Graphs eq. EnergyEmergy Transformity eq.

83. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 83 Experiment: Rain flow reduced 4x. Results for Reservoir. Experiment: Rain flow reduced 4x. Results for Reservoir. Simulation results Eco Bond Graphs Mass EnergyEmergy

84. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 84 Eco Bond Graphs – A new “Plumbing Technology” for modeling Complex Dynamics Systems – A low-level tool to equip other higher-level modeling formalisms with the ability to track emergy flows Hierarchical interconnection of EcoBG subsystems – Automatic and systematic evaluation of sustainability: global tracking of emergy and local checking of energy balances M&S practice – The laws of thermodynamics are not an opinable subject Every sustainability-oriented effort should -at some point- consider emergy We should become able to inform both: decision makers (experts, politicians, corporations) and people who express their wishes (democratic societies) – about which are the feasible physical boundaries within which their -largely opinable- desires and/or plans can be possibly implemented in a sustainable fashion. Conclusions

85. Dr. Rodrigo Castro I3M–SESDE 2013. Athens, Greece. September 27, 2013. 85 Q&A rodrigo.castro@usys.ethz.ch rodrigo.castro@cifasis-conicet.gov.ar rcastro@dc.uba.ar Thanks for your attention !