Low Enthalpy Cycles - Power Plant Concepts warm reservoir Q in heat - - PowerPoint PPT Presentation

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Low Enthalpy Cycles - Power Plant Concepts warm reservoir Q in heat - - PowerPoint PPT Presentation

Low Enthalpy Cycles - Power Plant Concepts warm reservoir Q in heat engine W Q out cold reservoir Silke Khler 1 , Felix Ziegler 2 1 GeoForschungsZentrum Potsdam (GFZ) 2 Technical University of Berlin (TUB) Engine workshop 5 Strassbourg 14.


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SLIDE 1

Engine workshop 5 Strassbourg 14. – 15.09.2006

Silke Köhler1, Felix Ziegler2

1GeoForschungsZentrum Potsdam (GFZ) 2Technical University of Berlin (TUB)

Low Enthalpy Cycles - Power Plant Concepts

warm reservoir cold reservoir Qout Qin W heat engine

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SLIDE 2

Situation Heat source

Temperature 100°C – 200°C Mass flow rate 50 – 200 m³/h (~14 – 55 kg/s) Limited heat capacity ~ 5 to 50 MWth per well Sensible heat

Goal: Electricity generation Tools

Cycles and systems Design and optimisation Suitability of different cycles for particular applications

entropy temperature

heat source heat sink cyclic process

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SLIDE 3

Optimisation of Ideal (Reversible) Cycles Internally and externally reversible

Carnot Cycle Lorentz Cycle Triangular Cycle

Internally reversible

Rankine Cycle - ideal cycle for steam power processes

Optimisation of the cycle locates the operating conditions for the optimal ideal cycle performance (Tamm et.al.)! Optimisation approach:

Locate constraints Locate free variables Define optimisation criterium objective function Find Max / Min by analytical or numerical solving of the function T, p

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SLIDE 4
  • added heat qin: A A23B

rejected heat qout: A A14B

  • Net Work w:

area A 1234 Thermal efficiency η: area ratio

entropy temperature

1 2 3 4 A B

Carnot Cycle

= Tds q

qin: A A23B qout: A A14B A A23B A 1234

= − = Tds q q w

  • ut

in

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SLIDE 5

entropy temperature

heat source heat sink Carnot cycle

Optimisation of Carnot Cycle Constraints

Brine temperature, mass flow rate Heat sink temperature

Free variable

Upper process temperature Te

in r b

  • ut

in in

  • ut

q T Tds q q w q q , 1

,

= − = − = η

Possible objective functions

Thermal efficiency η Net Work w Added heat qin / Cooling of the brine Tb,r

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SLIDE 6

Optimisation of Carnot Cycle

entropy temperature

heat source heat sink Carnot cycle

entropy temperature

heat source heat sink

entropy temperature

heat source heat sink

entropy temperature

heat source heat sink

entropy temperature

heat source heat sink

entropy temperature

heat source heat sink Carnot cycle

η ↑ w ↓ Tb,r ↑ η ↓ w ↓ Tb,r ↓

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SLIDE 7

entropy temperature

heat source heat sink Carnot cycle

Optimisation of Carnot Cycle Constraints

Brine temperature, mass flow rate Heat sink temperature

Free variable

Upper process temperature

Possible objective functions

Thermal efficiency η Net Work w Cooling of the brine Tb,r

  • ut

b u

  • u

q T Tds q q w q q , 1

,

= − = − = η

= − = Tds q q w

u

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SLIDE 8

Lorentz Cycle

entropy temperature entropy temperature

heat source heat sink

Constraints

Brine temperature, mass flow rate Heat sink temperature

Free variable

Upper process temperature Te

Possible objective functions

Thermal efficiency η Net Work w Added heat qin / Cooling of the brine Tb,r

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SLIDE 9

Optimisation of Lorentz Cycle

entropy temperature

heat source heat sink

entropy temperature

heat source heat sink

entropy temperature

heat source heat sink

η ↑ w ↓ Tb,r ↑

entropy temperature

heat source heat sink

entropy temperature

heat source heat sink

entropy temperature

heat source heat sink

η ↓ w ↓ Tb,r ↓

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SLIDE 10

Reversible Triangular Cycle

entropy temperature

heat source heat sink

Fits in heat source / heat sink characteristics No optimisation Availability? – not all state changes can be realized with available hard ware Ideal cycles help to analyse complex problems Real cycles suffer losses

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SLIDE 11

Rankine Cycle (Organic Working Fluid)

2 isentropic compression 4 evaporator 5 isentropic expansion 1 constant pressure heat rejection condenser constant pressure heat addition preheater, desuper- heater, 1 2 4 5 temperature entropy 1 2 KP pl pu Te Tc 4 5 6 3

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SLIDE 12

Actual Vapor Power Cycle (Organic Working Fluid)

temperature entropy 1 2 KP pl pu Te Tc 4 5 6 3 2 irreversibility in the pump 3 pressure drop 4 pressure drop 5 irreversibility in the turbine 6 pressure drop 1 pressure drop 1 2 3 4 5 6 real cycle ideal cycle

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SLIDE 13

Irreversible Heat Transfer

temperature entropy Te Tc real cycle DTin DTout

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SLIDE 14

ORC Layout

evaporator preheater feed pump condenser turbine generator heat sink production well injection well cooling water pump down hole pump 1 2 3 4 5

G

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SLIDE 15

Heat Transfer Diagram ORC

Constraints

Brine: Tb,in, mass flow rate, specific heat capacity Cooling medium: TCW,in, TCW,out, specific heat capacity

Free variables

Working fluid Te ∆Tmin,in, ∆Tmin,out

Objective function

Generator capacity Heat transfer area (Ratio heat transfer area / generator capacity, ~ €/kW)

5 3 Tb,out 4 Tb,in Te b r i n e DTmin,out Tc 2 transferred heat Qout Qin temperature 1 TCW,out TCW,in cooling water DTmin,in 6

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SLIDE 16

Kalina KCS 34 Layout

7 6 basic solution rich vapor feed pump absorber turbine generator production well injection well down hole pump cooling water pump separator heat sink

G

1 2 5 6’’ 11 pre- heater desorber 4 poor solution LT-recuperator 3 6’ 8 9 10 4 HT- recuperator

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SLIDE 17

Heat Transfer Diagram Kalina

cooling water desorber brine temperature transferred heat 1 10 6 5 Qout Qin preheater TCW,in TCW,out Tb,in Tb,out absorber

DTmin,in

DTmin,out DTmin,in HT-preheater 11 3 4 6’ 8 Qre LT- preheater

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SLIDE 18

Constraints

Brine: Tb,in, mass flow rate, specific heat capacity Cooling medium: TCW,in, TCW,out, specific heat capacity

Free variables

Composition basic solution Pressure desorption Pressure absorption

  • Mass flow rate basic solution
  • Objective function

Generator capacity Heat transfer area (Ratio heat transfer area / generator capacity, ~ €/kW)

Heat Transfer Diagram Kalina

des

Q &

re

Q &

cooling water desorber brine temperature transferred heat HT-preheater 1 11 10 2 3 4 6 5 6’ 8 Qout Qin Qre preheater LT- preheater TCW,in TCW,out Tb,in Tb,out absorber

DTmin,in

DTmin,out DTmin,in

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SLIDE 19

25 50 75 100 125 100°C 125°C 150°C 175°C 200°C (R290) (RC318) (R600a) (R600) (i-C5) initial temperature brine, (working fluid) return temperature brine (°C) air cooling water cooling

ORC

Return Temperature Brine, ORC & Kalina Optimised for work output

  • 25

50 75 100 125 100°C 125°C 150°C 175°C 200°C initial temperature brine return temperature brine (°C) air cooling water cooling

Kalina

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SLIDE 20

0% 2% 4% 6% 8% 10% 100°C 125°C 150°C 175°C 200°C (R290) (RC318) (R600a) (R600) (i-C5) initial temperature brine, (working fluid)

  • verall efficiency

air cooling water cooling

ORC

Overall Efficiency ORC & Kalina

( )

,

T T c m P P P P Q P

in b b brine CWpump FeedPump DHpump gen brine net sys

− − − − = = η & &

0% 2% 4% 6% 8% 10% 100°C 125°C 150°C 175°C 200°C initial temperature brine

  • verall efficiency

air cooling water cooling

Kalina

Optimised for work output

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SLIDE 21

Conclusions of Comparison Both systems are suitable for power production from low enthalpy reservoirs With given constraints from heat source and heat sink

ORC cool the brine more Kalina reach higher thermal efficiency High parasitic loads at ORC, especially for air cooling ORC are more sensible to changes ORC of heat sink

Suitability of the systems

Kalina KCS34 up to 150 °C brine or CHP ORC from 150 °C brine temperature

Improvements

Supercritical ORC may improve thermal efficiency Other Kalina systems may improve cooling of brine

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SLIDE 22

Geothermal Heat and Power

brine temperature > temperature for heating purposes Not necessarily simultaneous production

Serial

power plant

T s

waste heat heating station brine out brine electrical energy

T QH

heat to district heating system

Additional constraints due to heating demand! Outlet temperature brine Mass flow rate brine Parallel

T QH

brine out brine power plant

T s

waste heat heating station electrical energy heat to district heating system

brine temperature ≈ temperature for heating Subsystems compete

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SLIDE 23

Neustadt-Glewe Constraints

Brine temperature, mass flow rate Heat sink temperature Heating capacity in district heating system

Free variable

Portion of brine through plant / upper process temperature

Objective functions

Generator capacity ~ Pmech Cooling of the brine Tb,out Resource Utilization Factor RUE (overall exergetic efficiency) brine exergy products exergy RUE =

( ) ( )

( ) ( )

, ,

s s T h h m s s T h h m P P

in in brine HS HS HS HS tem heatingsys p t

− ⋅ − − ⋅ − ⋅ − − ⋅ + − = & &

brine 98°C 110 m³/h

power plant generator capacity 210 kWel

T s

heating station 6 MW geothermal

th

11 MW total

th

heat to district heating system net capacity to grid

Tb,out

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SLIDE 24

Brine 35 kg/s, 98 °C District heating system (assumed) 50 kg/s, 70/55, 3.1 MWth Working medium power plant Perflourpentane, water cooling 15/20

50 100 150 200 30 50 70 90 upper process temperature (°C) T, P_mech T bout (°C) P mech (kW)

Results of Optimisation

0.2 0.4 0.6 0.8 1 1.2 30 50 70 90 upper process temperature (°C) portion of brine through plant RUE

( )

  • ut

b in b brine in

T T c m const Q

, , −

⋅ = = & &

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SLIDE 25

Summary

ORC & Kalina follow the same rules, but deal differently with the losses. Losses

Irreversible heat transfer Internal irreversibilities (non-isentropic state changes turbine and pump, pressure losses) Parasitic loads (cycle pump, down hole pump, cooling devices)

Constraints

Heat source and heat sink

Free Variables

Layout Working fluid (medium, composition) Upper process temperature

Power plant: optimised for work output CHP: optimised for RUE