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Authors: Nelson Garcia-Polanco, Joaquín Capablo and John Doyle Whirlpool R&D, Italy. Multiphysics Approach to Improve the Performance of a Domestic Oven 17-19 September 2014 Cambridge – UK 1

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Page 1: MultiphysicsApproach to Improve the Performance of a ...cdn.comsol.com/.../2014-ccup/...the-Performance-of-Domestic-Ovens… · Consumption of Electrical Ovens. • Set up an accurate

Authors: Nelson Garcia-Polanco, Joaquín Capablo and John Doyle

Whirlpool R&D, Italy.

Multiphysics Approach to Improve thePerformance of a Domestic Oven

17-19 September 2014 Cambridge – UK

1

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217-19 September 2014 Cambridge – UK

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317-19 September 2014 Cambridge – UK

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417-19 September 2014 Cambridge – UK

Whirlpool EMEA, Italy J. Capablo, J. Doyle and N. Garcia-Polanco

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Summary

1. Introduction and scopes

2. Normative Oven Energy Class Test, EN 50304

3. Numerical Model (COMSOL Multiphysics®)

4. Results

5. Conclusions

517-19 September 2014 Cambridge – UK

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1. Introduction and Scopes

417-19 September 2014 Cambridge – UK

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Green Kitchen ProjectEuropean funded project

IAPP (Industry-Academia Partnerships and Pathways)

717-19 September 2014 Cambridge – UK

Reduction of the energy and water

consumption of home appliances.

Partners:

www.iapp-greenkitchen.eu

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• Reduction of the Energy

Consumption of Electrical Ovens.

• Set up an accurate digital model to

test our new solutions.

• Improve the performance of our

products in cooking performance

and energy consumption.

Specific Objectives

817-19 September 2014 Cambridge – UK

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2. NORMATIVE OVEN

ENERGY CLASS TEST

EN 50304

17-19 September 2014 Cambridge – UK

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Oven model

Energy

Consumption

(kWh)

Energy

consumption

label

Heating

function

Usable

Volume (l)

MINERVA 0.90 A Static 73

OVEN MODEL

WHIRLPOOL MODEL: MINERVA OVEN

1017-19 September 2014 Cambridge – UK

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Brick Test (CEI EN 50304)

BRICK (Food Load Simulator)

-Dimensions: 230mm x 114mm x 64mm

-Material: Hypor

Cp=0.80 J/g°C

ρ=550 ± 40 kg/m3

Porosity=77%

-Weight:

Winitial ≈ 920g (brick) + 1050 g (water)

≈ 1050 g water absorved after 8h in chilled water

11

Representing

similar food matrix

behavior inside the

oven cavity

BRICK

-Tfinal: Tinitial + ∆T (55 °C)

17-19 September 2014 Cambridge – UK

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EXPERIMENTAL STUDY

Thermocouples type J (iron/constatan)

Heating elements

Walls

Glass

Brick

Temperature monitoration:

Data logger: Yokogawa MV100

Frequence: Every second

Range: −40 to +750 °C

Precision: 0.1 °C

Tair out: 1 measurement

Tcavity: 2 measurements

Tbrick: 2 measurements

1217-19 September 2014 Cambridge – UK

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3. NUMERICAL MODEL(COMSOL Multiphysics®)

17-19 September 2014 Cambridge – UK

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Numerical Model

• It is important to model the transient behavior of the oven to be able to reduce the energy consumption.

• For example, advanced design can be developed by performing some parametric analyses:

– Emissivity of the glass

– Dimensions of the cavity walls

– Material properties of the cavity walls

– Heating elements design

1417-19 September 2014 Cambridge – UK

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Modeling a domestic oven with a 3-glasses door

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“Transport of Dilute Species” Module

“Heat and Mass Transfer” Module

17-19 September 2014 Cambridge – UK

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Boundary conditions:

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Experimental transient temperature of the

oven parts.

Broil

Bake

Ring

Air cavity

17-19 September 2014 Cambridge – UK

Brick surface

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Boundary conditions:

17

Hot wire anemometers

17-19 September 2014 Cambridge – UK

α

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Validation:

18

Experimental transient temperature of the

oven parts.

Brick

Bottom surface

Walls

Glass

17-19 September 2014 Cambridge – UK

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4. RESULTS

17-19 September 2014 Cambridge – UK

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• Oven Temperature (t=50min)

Results: Evolution of the Temperature

20

Broil Bake

17-19 September 2014 Cambridge – UK

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• Evolution of the Brick Temperature (transient)

Results: Evolution of the Temperature

2117-19 September 2014 Cambridge – UK

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Results: concentration of the water

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EVAPORATED WATER (BRICK)

166g (Predicted) vs 171 g (Experimental)

17-19 September 2014 Cambridge – UK

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• Experimental Study Information:

– Standard test for energy consumption, EN 50304.

• Temperature Evolution obtained in the test:

– Similar to the predictions of evolution of the temperature obtained in the theoretical model.

• Experimental Validation of the Model:

– Make possible to further study innovative strategies to obtain an optimized oven performance

• Parametric study

• Design optimization

Conclusions

2317-19 September 2014 Cambridge – UK

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Thanks

2417-19 September 2014 Cambridge – UK

More info: [email protected]

[email protected]