CoursM2-USTH Eco-Optimisation BEN AHMED 2013 Part3

64

Eco-design and eco-optimization methodmethod

preamble:There exist three levels (from least intrusive to most intrusive)eco-qualification: ACV system defineseco-optimization: design of a system according to the LCA criteriaEco-design: design and simulation of a system of LCA criteria

by including parameters related to manufacturing (realization process / manufacturingassembly, ...) and deconstruction.

Classical Optimization65

c

vue de dessus

The problem :

- Identify the variables

a

3a

a

b.a

a

n1n2

2a

vue de face - Identify the variables- Make two objective functions- Formulate constraints

Data: U1=230V, U2=9V, f=50HzS=230 VA in steady state+ materials data (physical characteristics)

Formalism 66

4 variables

Formalisation

2 objectifs To minimizeTo minimize

3 constraints

Results 67

0.1

0.2

0.3

0.4

0.5Config. qui minimise lObjectif N1 (dim. en mtre)

0.1

0.2

0.3

0.4

0.5Exemple de Config. compromis (dim. en mtre)

1 pt of operating

8 10 12 14 16 180

5

10

15

20Front de Pareto

Pertes totales (W)

Mas

se t

otal

e (k

g)

0 0.1 0.2 0.3 0.4 0.50

0.1

0 0.1 0.2 0.3 0.4 0.50

0.1

0.2

0.3

0.4

0.5Config. qui minimise lObjectif N2 (dim. en mtre)

0 0.1 0.2 0.3 0.4 0.50

0.1

Results 68

5

10

15

20

Mas

se t

otal

e (k

g)

Front de Pareto

8 10 12 14 16 180

20

40

60

80

100

120

Pertes totales (W)

Tem

pra

ture

s cu

ivre

=o

et f

er=

+

Tempratures

2Induction maximale CM (T)

8 9 10 11 12 13 14 15 16 17 180

Pertes totales (W)

8 10 12 14 16 180

0.2

0.4

0.6

0.8

Pertes totales (W)

para

mt

res

a=o,

b=

*, c

=+

Variables optimises (m)

8 10 12 14 16 180

100

200

300

400

500

Pertes totales (W)Nom

bre

de s

pire

s pr

imai

re=

o se

cond

aire

=+ Nb spires primaire

b~0.5

c

a

n1

n2

8 10 12 14 16 180

0.5

1

1.5

Pertes totales (W)

Bm

en

T

Second example : PMSM69

we replace the slotted stator armature by a fictitious "smooth" equivalent generatingeven distribution of the tangential magnetic field:

( ) ( )tpcosAt,A LeffL w-g=g 2

e

effLeff R

I.NqA

p=

2

2

Aimants alterns

The average tangential magnetic force density is (TM):

The average electromagnetic torque:

2fMax

LeffnLnttB

.AB.AB.H ===s

( ) eefMaxLeffem RLR22

B.Ac p= rotorfMaxLeffem VB.A2c =

w=W= petaimantsnbp:quetelest)t(Asi L 2

Volume of rotor

Equivalent modelEquivalent model

Formalime

70

7 variables

2 objectifs to minimize

5 constraints

Rsultats 71 1 pt de fonct.

Eco-optimization in EI72

The main costs are considered: GER, GWP and raw materials

Life cycle energie (Eacv)73

PRG (GWP) (q. CO2)74

GWPprod

GWPmat

Approach75

Donnes (matriaux, cycle de fonctionnement, )

Modle multi physique

Performances et

Paramtres de design

ACV

Optimisation Performances et contraintes physiques

Impacts

convergencenon

Solutions optimales

Study cases76

3 study cases:- Single phase transformer- Actuator automation (asynchrone)- Standalone PV system- Standalone PV system

The first two are from the PhD thesis of VinentDebusschre (SATIE, 2009). The third case is the result of the PhD thesis of Yael Thiaux (SATIE, 2010)

Case 1 : transformer77

Cf. Thse V. Debusschre (satie)

Data

12V/230 V, 50 Hz Pnom=200 W

Results 79


Optimal Structures80


Influence of the operation time81


Sensitivity to the type of conductor82


Life cycle Efficiency83

Classical efficiency (operating efficiency) Life Cycle efficiency

Case 2 : Induction motor84


Specifications85

Cmax=0.1 Nm

Torque imposed:

Modlization 86

Results (1/2)87


Results (2/2) 88


Case 3 : Standalone PV system89

Cf. Thse Y. Thiaux (satie)

Model of consumption (load)90


Models of other components91


MPPT converter

Load side converterPV model

Batterie model (Lead Acide type)

92

Optimization approach

Two criteria :

- Minimise the GER of system- Minimise the LLP service


93

LLP Service criteria


94


95


96

Results (1/3)


97

Results (2/3)


98

Results (3/3)


Bibliographie (1/3)99

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CoursM2-USTH Eco-Optimisation BEN AHMED 2013 Part3

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