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Influence of the configuration of heat exchangers on the performance of ORCs: a first step towards a system optimization Daniël Walraven 1,* , Ben Laenen 2 and William D’haeseleer 1 1 University of Leuven (KU Leuven) 2 Flemish Institute for Technological Research (VITO)

Influence of the configuration of heat exchangers on the

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Page 1: Influence of the configuration of heat exchangers on the

Influence of the configuration of heat exchangers on the performance of ORCs:

a first step towards a system optimization

Daniël Walraven1,*, Ben Laenen2 and William D’haeseleer1

1University of Leuven (KU Leuven) 2Flemish Institute for Technological Research (VITO)

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Introduction

• Optimization for ORCs:

– Cycle: temperatures, pressures, …

or

– Components: turbine, cooling system, heat exchangers, …

Assumptions

• System optimization:

– Combine cycle- and component optimization

Eliminate many assumptions

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Introduction (2)

• System optimization with heat exchangers:

– Shell-and-tube heat exchangers

– Plate heat exchangers

Pinch-point ΔT, pressure drop, condenser temperature, … are results

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Content

• Introduction

• ORC-model

• Heat exchanger models:

– Shell-and-tube heat exchanger

– Plate heat exchanger

• Optimization method

• Results

• Conclusions

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Single-pressure ORC

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• Inputs:

– Inlet states

– Requirement outlet state

– Geometry

• Outputs:

– Outlet states

– Size

– Heat transfer coefficient, ΔT, etc.

Shell-and-tube heat exchanger: Tema E

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• Inputs:

– Inlet states

– Requirement outlet state

– Geometry

• Outputs:

– Outlet states

– Size

– Heat transfer coefficient, ΔT, etc.

Plate heat exchanger: chevron corrugations

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• Optimization variables:

– Cycle: • Temperature before

turbine

• Pressure before turbine

• Pressure before pump

• Working fluid mass flow

– Heat exchangers: • 4/5 geometrical variables

for every heat exchanger

Computationally difficult

• Gradient-based:

– Automatic differentiation in reverse mode

– Adaptation RefProp

• Extra constraint:

– Maximum total heat exchanger surface

Optimization method

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Content

• Introduction

• ORC-model

• Heat exchanger models:

– Shell-and-tube heat exchanger

– Plate heat exchanger

• Optimization method

• Results

• Conclusions

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• Heat source:

– Water

– 125°C

– 100 kg/s

• Cooling fluid:

– Water

– 20°C

– 800 kg/s

• ORC:

– Simple/recuperated

– 1 pressure level

– Amax = 4000 m²

Reference data

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• Plate • Shell-and-tube, 90°

Influence maximum total heat exchanger surface

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• Plate • Shell-and-tube, 90°

Influence maximum total heat exchanger surface (2)

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• Plate • Shell-and-tube, 90°

Influence maximum total heat exchanger surface (3)

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• Plate • Shell-and-tube, 90°

Influence maximum total heat exchanger surface (4)

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Influence configuration tubes

• Isobutane, shell-and-tube

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Influence heat source outlet temperature

• Plate heat exchanger, simple

• Plate heat exchanger, recuperated

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Influence cooling fluid inlet temperature

• Plate heat exchanger

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Influence cooling fluid mass flow

• Plate heat exchanger

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Conclusions and further work

• System optimization of ORCs is possible

• Plate heat exchangers perform mostly the best

• Strong influence cooling fluid properties

Include cooling system in optimization

• Strong influence Amax

Economic system optimization