Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 1 / 12
Tristan Rigaut (Efficacity) Energy and Climate Management of a - - PowerPoint PPT Presentation
Tristan Rigaut (Efficacity) Energy and Climate Management of a - - PowerPoint PPT Presentation
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 1 / 12 Energy and Climate Management of a Subway Station Tristan Rigaut 1 1 Ple Gare, Lot 1 Efficacity, Institute for the Energy Transition
Energy and Climate Management of a Subway Station
Tristan Rigaut1
1Pôle Gare, Lot 1
Efficacity, Institute for the Energy Transition October 22, 2015
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 2 / 12
Outline
1
A subway station microgrid A subway station Microgrid
2
Dynamic modelling of the station Supply/demand balance Particles dynamics Battery dynamics Economic criterion
3
Optimization of the energy and climate management Results
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 3 / 12
Subway stations potential energetic flows
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 4 / 12
A subway station Microgrid
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 5 / 12
Supply/Demand balance
Over τ = 24 hours we have to ensure : PG(t)
Main Grid Power
+ PTrain(t)
- Brakes Power
= PL(t)
Lights, Elevators
+ PV (t)
Ventilation
+PH(t)
Heating
+ PB(t)
Battery
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 6 / 12
Particles Dynamics
We have to ensure the occupants safety regarding air quality : QPMmin < QPM(t) < QPMmax Knowing the PM10 dynamics :
Zone Volume
- Vz
dQPM dt (t)
- Particulate Matters Dynamics
=
Fan Air Flow
rvPV (t) (QPMe(t) − QPM(t))
- Ventilation
+ VzQPMBrakes(t)
- Braking Emissions
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 7 / 12
Battery Dynamics
We can control the battery knowing its dynamic : dSOC dt (t) =
Charge/Discharge Efficiency
- ρB
V0Qmax
Tension × Maximum Charge
× PB(t)
Charge/Discharge Power
Which are valid between bounds that ensure good ageing of the battery SOC min ≤ SOC(t) ≤ SOC max
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 8 / 12
Economic criterion
Here is the criterion : J(u(.)) =
Total cost of consumed electricity
- τ
C(t)
- Cost (€/ Watt)
× PG(t)
Main Grid Power
dt
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 9 / 12
No battery vs. Battery controlled
We could save 55% of money everyday with a battery
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 10 / 12
Current air quality vs. Ventilation controlled air quality
We could save 45% of money everyday with a proper control of ventilation.
Tristan Rigaut (Efficacity) Energy and Climate Management of a Subway Station October 22, 2015 11 / 12
Perspectives
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