experimental and theoretical approach of a multi-stage

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Experimental and Theoretical Approach of a Multi-Stage Membrane Distillation System P. Boutikos, E.S. Mohamed, E. Mathioulakis and V. Belessiotis Solar and Other Energy Systems Laboratory NCSR «DEMOKRITOS» 14 – 16 September 2016, Athens

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Page 1: Experimental and Theoretical Approach of a Multi-Stage

Experimental and Theoretical Approach of a Multi-Stage Membrane Distillation System

P. Boutikos, E.S. Mohamed, E. Mathioulakis and V. BelessiotisSolar and Other Energy Systems Laboratory

NCSR «DEMOKRITOS»

14 – 16 September 2016, Athens

Page 2: Experimental and Theoretical Approach of a Multi-Stage

Contents

Introduction

Aim

Mathematical Model Development

Experimental Approach

Model Validation

Conclusions

Page 3: Experimental and Theoretical Approach of a Multi-Stage

Introduction – Membrane Distillation (MD)

Membrane Distillation (MD): A thermal membrane separationprocess, in which water vapor molecules or volatile compounds aretransferred from a hot aqueous solution (usually saline water), through amicroporous hydrophobic membrane, because of the partial pressuredifference created due to the temperature difference across themembrane.

Page 4: Experimental and Theoretical Approach of a Multi-Stage

Introduction – Membrane Distillation (MD)

Advantages Disadvantages

Production of high purity distillate. Reduced production of the water vapor flux.

The possibility of operating at lower temperatures.

The temperature polarization affects negatively the flux through the membrane.

Operates at relative low pressures. The trapped air in the membrane pores increases the resistance to mass transfer.

It can treat high concentration or supersaturated solutions.

High specific energy consumption, mainly due to the heat losses by conduction.

The capability of utilizing solar thermal energy or even waste heat from other processes.

Page 5: Experimental and Theoretical Approach of a Multi-Stage

Optimized design of a pilot-scale

unit

The development of a mathematical model, which can be

used to study the effect of the significant parameters that

influence the quality and quantity of the produced desalinated water.

The experimental approach of the multi-stage membrane distillation

system.

Aim

Page 6: Experimental and Theoretical Approach of a Multi-Stage

Mathematical Model Development

Page 7: Experimental and Theoretical Approach of a Multi-Stage

Mathematical Model Development

Mass and Energy Balances

Evaporator (Hot water stream):

, , ,

, , , , , ,

Stage Feedsalinesolution :

, , ,

, , , ,

, , , , ,

Condenser (Cold water stream):

, , ,

Page 8: Experimental and Theoretical Approach of a Multi-Stage

Transport Phenomena – Mass Transfer

Mass Transfer: Feed boundary layer (concentration polarization). Through the membrane pores.

The mass transfer in the feed boundary layer can be described by the film theory.

,,

The mass flux through the membrane is proportional to the water vapor partial pressure difference (Darcy’s Law).

,

o : membrane mass transfer coefficient Function of membrane structural properties Knudsen diffusion, Viscous flow, Molecular diffusion or combination

Page 9: Experimental and Theoretical Approach of a Multi-Stage

Transport Phenomena – Heat Transfer

Evaporator

The total heat is transferred from the bulk feed through the hot water boundary layer to the feed membrane interface by conduction.

,

The transferred heat is consumed, at the membrane surface, only by the latent heat of vaporization.

, ∆

Stage

The generated vapor is completely condensed at the surface of the impermeable foil (Qconds,st = Qevap).

The latent heat of condensation is transferred through the condensing film and the foil by conduction and heats up the feed saline stream.

Page 10: Experimental and Theoretical Approach of a Multi-Stage

Transport Phenomena – Heat Transfer

Stage

In the feed channel the feed saline solution is initially pre-heated to its boilingpoint, Tsat, and then is partially evaporated at the membrane interface, wherenew water vapor is produced.

, , ∆

Condenser

The produced vapor from the last stage is completely condensed.

The latent heat of condensation is transferred through the condensing film and the foil by conduction.

In the boundary of the cold water stream the heat is transported by convection.

,

Page 11: Experimental and Theoretical Approach of a Multi-Stage

Experimental Desalination Unit

Page 12: Experimental and Theoretical Approach of a Multi-Stage

Experimental Desalination Unit

Multi-stage membrane distillation unit that employs both the vacuum membrane distillation and multi-stage distillation concept.

Membrane module

Heating Loop Hot water inlet temperature (Thw,in) at 75 oC. Hot water flow rate (Fhw): 1500 – 3500 L/h .

Feed Loop Feed inlet temperature (Tf,in) at 25 oC. Feed solution flow rate (Ff,sw): 40 – 120 L/h .

Cooling Loop Cold water inlet temperature (Tcw,in) at 30 oC. Cold water flow rate (Fcw): 1500 – 3500 L/h .

Vacuum system (Vacuum pressure at ~ 800 mbar)

Page 13: Experimental and Theoretical Approach of a Multi-Stage

Water Productivity, Fdist (L/h): ∗

Recovery Rate, RR (%): 100 ∗

Gained Output Ratio, GOR:

Specific Thermal Energy Consumption, STEC (kWh/m3):

Performance and Energy Efficiency Indicators

Page 14: Experimental and Theoretical Approach of a Multi-Stage

Influence of Hot Water Inlet Temperature

Pure water, Fhw= 3500 L/h, Tf,in= 25 oC, Ff,sw= 80 L/h, Tcw,in= 30 oC, Fcw= 3500 L/h

40 60 80 1000,5

1,0

1,5

2,0

2,5

Gai

ned

Out

put R

atio

, GO

RHot Water Inlet Temperature (oC)

300

600

900

1200 GOR STEC

STEC

(kW

h/m

3 )

40 60 800

10

20

30

40

Wat

er P

rodu

ctiv

ity (L

/h)

Hot Water Inlet Temperature (oC)

Rec

over

y R

atio

, RR

(%)

0

20

40

60 WP RR

Page 15: Experimental and Theoretical Approach of a Multi-Stage

Influence of Feed Flow Rate

50 100 150

0,5

1,0

1,5

2,0

STEC

(kW

h/m

3 )

GOR STEC

Feed Flow Rate (L/h)G

aine

d O

utpu

t Rat

io, G

OR

0

250

500

750

Pure water, Thw,in= 75 oC, Fhw= 3500 L/h, Tf,in= 25 oC, Tcw,in= 30 oC, Fcw= 3500 L/h

50 100 15010

20

30

40

WP RR

Feed Flow Rate (L/h)

Wat

er P

rodu

ctiv

ity (L

/h)

0

20

40

60

80

100

Rec

over

y R

atio

, RR

(%)

Page 16: Experimental and Theoretical Approach of a Multi-Stage

Model Validation – Hot Water Inlet Temperature

50 60 70 80 900

20

40

Pure water Experimental data Simulation Curve

Hot Water Inlet Temperature (oC)

Wat

er P

rodu

ctiv

ity (L

/h)

50 60 70 80 900

20

40

60Saline Solution (30 mS/cm)

Experimental data Simulation Curve

Hot Water Inlet Temperature (oC)W

ater

Pro

duct

ivity

(L/h

)

Page 17: Experimental and Theoretical Approach of a Multi-Stage

Model Validation – Feed Flow Rate

80 100 1200

20

40

60Pure water

Experimental data Simulation Curve

Feed Flow Rate (L/h)

Wat

er P

rodu

ctiv

ity (L

/h)

60 80 100 12010

20

30

40

50Saline Solution (30 mS/cm)

Experimental data Simulation Curve

Wat

er P

rodu

ctiv

ity (L

/h)

Feed Flow Rate (L/h)

Page 18: Experimental and Theoretical Approach of a Multi-Stage

An experimental multi-stage membrane desalination unit was designed and tested to several operating conditions.

A mathematical model was developed with aim of maximizing the productivity and the energy optimization of the process.

The water productivity and the recovery ratio increases with the increase of the hot water inlet temperature. The GOR also increases and obtains an asymptotic valueat high values of the hot water inlet temperature. However, the STEC decreases as the hot water inlet temperature increases.

Increasing the feed flow rate the residence time decreases and the water vapor flux and the recovery ratio decreases. The GOR ratio increases, whereas the specific thermal energy consumption increases.

The model predictions were in a good agreement with the experimental results, presenting low deviations (1 – 15%) from the experimental data for the pure water, whilst for the saline water the deviations were in the range of 5 – 22%.

Conclusions

Page 19: Experimental and Theoretical Approach of a Multi-Stage

Thank you for your attention