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OPTIMIZATION TOOL FOR WASTE MANAGEMENT IN BUILDING DECONSTRUCTION - - PowerPoint PPT Presentation

OPTIMIZATION TOOL FOR WASTE MANAGEMENT IN BUILDING DECONSTRUCTION WITH ENVIRONMENTAL CRITERIA EVA QUHEILLE, FRANCK TAILLANDIER, NADIA SAIYOURI 7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 1 PLAN


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SLIDE 1

OPTIMIZATION TOOL FOR WASTE MANAGEMENT IN BUILDING DECONSTRUCTION WITH ENVIRONMENTAL CRITERIA

EVA QUÉHEILLE, FRANCK TAILLANDIER, NADIA SAIYOURI

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 1

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SLIDE 2

PLAN

1.

Demolition waste issue

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 2

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SLIDE 3

PLAN

1.

Demolition waste issue

2.

Demolition and waste management modelling

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 2

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SLIDE 4

PLAN

1.

Demolition waste issue

2.

Demolition and waste management modelling

3.

Study case

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 2

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SLIDE 5

PLAN

1.

Demolition waste issue

2.

Demolition and waste management modelling

3.

Study case

4.

Conclusion and perspectives

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 2

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SLIDE 6

WHY A OPTIMIZATION TOOL FOR WASTE MANAGEMENT DEMOLITION ?

Directive 2008/98/EC : 70 % material recovery rate for construction and demolition waste by 2020

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 3

  • 1. Demolition waste issue
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SLIDE 7

WHY A OPTIMIZATION TOOL FOR WASTE MANAGEMENT DEMOLITION ?

Directive 2008/98/EC : 70 % material recovery rate for construction and demolition by 2020

Recovery rate in France : 40 – 50 %

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 3

  • 1. Demolition waste issue
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SLIDE 8

WHY A OPTIMIZATION TOOL FOR WASTE MANAGEMENT DEMOLITION ?

Directive 2008/98/EC : 70 % material recovery rate for construction and demolition by 2020.

Recovery rate in France : 40 – 50 %

Improvement needed in building demolition :

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 3

  • 1. Demolition waste issue
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SLIDE 9

WHY A OPTIMIZATION TOOL FOR WASTE MANAGEMENT DEMOLITION ?

Directive 2008/98/EC : 70 % material recovery rate for construction and demolition by 2020.

Recovery rate in France : 40 – 50 %

Improvement needed in building demolition :

Huge waste diversity

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 3

  • 1. Demolition waste issue

and more

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SLIDE 10

WHY A OPTIMIZATION TOOL FOR WASTE MANAGEMENT DEMOLITION ?

Directive 2008/98/EC : 70 % material recovery rate for construction and demolition by 2020.

Recovery rate in France : 40 – 50 %

Improvement needed in building demolition :

Huge waste diversity

Waste management = a stage of demolition work, that is ruled by cost and delays

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 3

  • 1. Demolition waste issue
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SLIDE 11

THE OBJECTIVE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 4

  • 1. Demolition waste issue
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SLIDE 12

THE OBJECTIVE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 5

  • 1. Demolition waste issue

Multi-objective

  • ptimization

tool

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SLIDE 13

THE OBJECTIVE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 4

  • 1. Demolition waste issue

Multi-objective

  • ptimization

tool

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SLIDE 14

THE OBJECTIVE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 4

  • 1. Demolition waste issue

Multi-objective

  • ptimization

tool

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SLIDE 15

HOW TO ASSESS DEMOLITION ?

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 5

  • 1. Demolition waste issue
  • 2. Demolition modelling

COMMON OBJECTIVES

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SLIDE 16

HOW TO ASSESS DEMOLITION ?

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 5

  • 1. Demolition waste issue
  • 2. Demolition modelling

COMMON OBJECTIVES Works cost

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SLIDE 17

HOW TO ASSESS DEMOLITION ?

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 5

  • 1. Demolition waste issue
  • 2. Demolition modelling

COMMON OBJECTIVES Works cost Works delay

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SLIDE 18

HOW TO ASSESS DEMOLITION ?

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 5

  • 1. Demolition waste issue
  • 2. Demolition modelling

COMMON OBJECTIVES Works cost Works delays Recovery rate

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SLIDE 19

HOW TO ASSESS DEMOLITION ?

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 5

  • 1. Demolition waste issue
  • 2. Demolition modelling

COMMON OBJECTIVES Works cost Works delay Complete environmental impacts Recovery rate LCA

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SLIDE 20

HOW TO ASSESS DEMOLITION ?

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 5

  • 1. Demolition waste issue
  • 2. Demolition modelling

COMMON OBJECTIVES Works cost Works delay Deconstruction Demolition Complete environmental impacts Recovery rate Transport Waste processing Disposal Benefits and loads beyond the system boundary C1 C2 C3 C4 D End of life stage Beyond the system

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SLIDE 21

VARIABLES ON A DEMOLITION SITE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 6

  • 1. Demolition waste issue
  • 2. Demolition modelling

Figure : Orée, 2018

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SLIDE 22

VARIABLES ON A DEMOLITION SITE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 6

  • 1. Demolition waste issue
  • 2. Demolition modelling

Figure : Orée, 2018

Building : ▪ Waste type and amount ? ▪ Surface ? ▪ Feasible inert reuse ?

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SLIDE 23

VARIABLES ON A DEMOLITION SITE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 6

  • 1. Demolition waste issue
  • 2. Demolition modelling

Figure : Orée, 2018

Building : ▪ Waste type and amount ? ▪ Surface ? ▪ Feasible inert reuse ? Environment : ▪ City center ? ▪ Waste treatment network ?

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SLIDE 24

VARIABLES ON A DEMOLITION SITE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 6

  • 1. Demolition waste issue
  • 2. Demolition modelling

Figure : Orée, 2018

Building : ▪ Waste type and amount ? ▪ Surface ? ▪ Feasible inert reuse ? Environment : ▪ City center ? ▪ Waste treatment network ? Owner objectives : ▪ Cheapest ? ▪ Fastest ? ▪ Environmental performance ?

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SLIDE 25

VARIABLES ON A DEMOLITION SITE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 6

  • 1. Demolition waste issue
  • 2. Demolition modelling

Figure : Orée, 2018

Building : ▪ Waste type and amount ? ▪ Surface ? ▪ Feasible inert reuse ? Environment : ▪ City center ? ▪ Waste treatment network ? Workers, machines and containers : ▪ Number, duration ? ▪ Which demolition technique ? Owner objectives : ▪ Cheapest ? ▪ Fastest ? ▪ Environmental performance ?

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SLIDE 26

VARIABLES ON A DEMOLITION SITE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 6

  • 1. Demolition waste issue
  • 2. Demolition modelling

Figure : Orée, 2018

Building : ▪ Waste type and amount ? ▪ Surface ? ▪ Feasible inert reuse ? Environment : ▪ City center ? ▪ Waste treatment network ? Workers, machines and containers : ▪ Number, duration ? ▪ Which demolition technique ? Waste management plan : ▪ Which treatment ? ▪ Which plant ? Owner objectives : ▪ Cheapest ? ▪ Fastest ? ▪ Environmental performance ?

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SLIDE 27

VARIABLES ON A DEMOLITION SITE

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 6

  • 1. Demolition waste issue
  • 2. Demolition modelling

Figure : Orée, 2018

Building : ▪ Waste type and amount ? ▪ Surface ? ▪ Feasible inert reuse ? Environment : ▪ City center ? ▪ Waste treatment network ? Workers, machines and containers : ▪ Number, duration ? ▪ Which demolition technique ? Waste treatment : ▪ Which treatment ? ▪ Which plant ? ASBESTOS Owner objectives : ▪ Cheapest ? ▪ Fastest ? ▪ Environmental performance ?

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SLIDE 28

DEMOLITION TECHNIQUES

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 7

  • 1. Demolition waste issue
  • 2. Demolition modelling

Traditional demolition

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SLIDE 29

DEMOLITION TECHNIQUES

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 7

  • 1. Demolition waste issue
  • 2. Demolition modelling

Traditional demolition

Fast, cheap

Very low quality of removed materials

Very low on-site sorting capacity

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SLIDE 30

DEMOLITION TECHNIQUES

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 7

  • 1. Demolition waste issue
  • 2. Demolition modelling

Traditional demolition

Fast, cheap

Very low quality of removed materials

Very low on-site sorting capacity

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SLIDE 31

DEMOLITION TECHNIQUES

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 7

  • 1. Demolition waste issue
  • 2. Demolition modelling

Traditional demolition

Fast, cheap

Very low quality of removed materials

Very low on-site sorting capacity Deconstruction

Dismantling stage for the building inside

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SLIDE 32

DEMOLITION TECHNIQUES

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 7

  • 1. Demolition waste issue
  • 2. Demolition modelling

Fast, cheap

Very low quality of removed materials

Very low on-site sorting capacity

Dismantling stage for the building inside

Slow, expensive

Good quality of removed materials

Good on-site sorting capacity Traditional demolition Deconstruction

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SLIDE 33

MULTI-OBJECTIVE OPTIMIZATION

A solution Ԧ 𝑦 = 𝑦1, 𝑦2, … , 𝑦𝑜 with objective functions 𝑔

𝑗

Ԧ 𝑦 :

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 8

  • 1. Demolition waste issue
  • 2. Demolition modelling

GENERAL PRINCIPLE 𝑁𝑗𝑜 𝐺 Ԧ 𝑦 = 𝑔

1 Ԧ

𝑦 , 𝑔

2 Ԧ

𝑦 , … , 𝑔

𝑙 Ԧ

𝑦

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SLIDE 34

MULTI-OBJECTIVE OPTIMIZATION

A solution Ԧ 𝑦 = 𝑦1, 𝑦2, … , 𝑦𝑜 with objective functions 𝑔

𝑗

Ԧ 𝑦 :

Dominance in Pareto meaning for two solutions 𝑣 and Ԧ 𝑤 :

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 8

  • 1. Demolition waste issue
  • 2. Demolition modelling

GENERAL PRINCIPLE 𝑁𝑗𝑜 𝐺 Ԧ 𝑦 = 𝑔

1 Ԧ

𝑦 , 𝑔

2 Ԧ

𝑦 , … , 𝑔

𝑙 Ԧ

𝑦 𝑣 ≺ Ԧ 𝑤 ⇔ ∀ 𝑗 ∈ 1, … , 𝑙 , 𝑣𝑗 ≤ 𝑤𝑗 ∧ ∃ 𝑘 ∈ 1, … , 𝑙 , 𝑣𝑘 < 𝑤𝑘

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SLIDE 35

MULTI-OBJECTIVE OPTIMIZATION

A solution Ԧ 𝑦 = 𝑦1, 𝑦2, … , 𝑦𝑜 with objective functions 𝑔

𝑗

Ԧ 𝑦 :

Dominance in Pareto meaning for two solutions 𝑣 and Ԧ 𝑤 :

Pareto front with non-dominated solutions

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 8

  • 1. Demolition waste issue
  • 2. Demolition modelling

GENERAL PRINCIPLE 𝑁𝑗𝑜 𝐺 Ԧ 𝑦 = 𝑔

1 Ԧ

𝑦 , 𝑔

2 Ԧ

𝑦 , … , 𝑔

𝑙 Ԧ

𝑦 𝑣 ≺ Ԧ 𝑤 ⇔ ∀ 𝑗 ∈ 1, … , 𝑙 , 𝑣𝑗 ≤ 𝑤𝑗 ∧ ∃ 𝑘 ∈ 1, … , 𝑙 , 𝑣𝑘 < 𝑤𝑘

Figure : Ndiaye et al., 2009

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SLIDE 36

MULTI-OBJECTIVE OPTIMIZATION

A solution Ԧ 𝑦 = 𝑦1, 𝑦2, … , 𝑦𝑜 with objective functions 𝑔

𝑗

Ԧ 𝑦 :

Dominance in Pareto meaning for two solutions 𝑣 and Ԧ 𝑤 :

Pareto front with non-dominated solutions

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 8

  • 1. Demolition waste issue
  • 2. Demolition modelling

GENERAL PRINCIPLE 𝑁𝑗𝑜 𝐺 Ԧ 𝑦 = 𝑔

1 Ԧ

𝑦 , 𝑔

2 Ԧ

𝑦 , … , 𝑔

𝑙 Ԧ

𝑦 𝑣 ≺ Ԧ 𝑤 ⇔ ∀ 𝑗 ∈ 1, … , 𝑙 , 𝑣𝑗 ≤ 𝑤𝑗 ∧ ∃ 𝑘 ∈ 1, … , 𝑙 , 𝑣𝑘 < 𝑤𝑘

Figure : Ndiaye et al., 2009

FOR OUR TOOL

Metaheuristic and genetic algorithm : DBEA

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SLIDE 37

STUDY CASE PRESENTATION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 9

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case
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SLIDE 38

STUDY CASE PRESENTATION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 9

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

5 buildings

Medium size town

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SLIDE 39

STUDY CASE PRESENTATION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 9

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

5 buildings

Medium size town

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SLIDE 40

STUDY CASE PRESENTATION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 9

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

5 buildings

Medium size town

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SLIDE 41

STUDY CASE PRESENTATION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 9

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

5 buildings

Medium size town Waste amount (Tons)

Inert waste Concrete 386 Bricks 8 Miscellaneous 6 Non hazardous waste Wood 17 Plaster bricks 100 Miscellaneous 6.5 T

  • tal

523.5

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SLIDE 42

RESULTS AND ANALYSIS

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 10

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case
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SLIDE 43

RESULTS AND ANALYSIS

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 10

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case
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SLIDE 44

RESULTS AND ANALYSIS

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 10

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case
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SLIDE 45

DECISION AND WORKS FEEDBACK

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 11

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case
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SLIDE 46

DECISION AND WORKS FEEDBACK

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 11

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

CONVENIENT FOR G1 AND G2

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SLIDE 47

DECISION AND WORKS FEEDBACK

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 11

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

CONVENIENT FOR G1 AND G2 GHG DECISION

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SLIDE 48

DECISION AND WORKS FEEDBACK

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 11

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

CONVENIENT FOR G1 AND G2 GHG DECISION G2 solution (local waste management)

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SLIDE 49

DECISION AND WORKS FEEDBACK

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 11

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case
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SLIDE 50

DECISION AND WORKS FEEDBACK

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 11

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case
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SLIDE 51

DECISION AND WORKS FEEDBACK

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 11

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

Under-estimation of waste amount by the study engineer CAUSE

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SLIDE 52

CONCLUSION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 12

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

BENEFITS FROM OUR DEMOLITION OPTIMIZATIONTOOL

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SLIDE 53

CONCLUSION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 12

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

BENEFITS FROM OUR DEMOLITION OPTIMIZATIONTOOL

Strategies that include environment without hampering economic criteria

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SLIDE 54

CONCLUSION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 12

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

BENEFITS FROM OUR DEMOLITION OPTIMIZATIONTOOL

Strategies that include environment without hampering economic criteria

Suitable and attractive for demolition companies in a decision level

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SLIDE 55

CONCLUSION

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 12

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

BENEFITS FROM OUR DEMOLITION OPTIMIZATIONTOOL

Strategies that include environment without hampering economic criteria

Suitable and attractive for demolition companies in a decision level

A new step to reach European objective

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SLIDE 56

PERSPECTIVES

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 13

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

IMPROVE THE TOOL

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SLIDE 57

PERSPECTIVES

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 13

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

IMPROVE THE TOOL

Include a complete LCA for decision

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SLIDE 58

PERSPECTIVES

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 13

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

IMPROVE THE TOOL

Include a complete LCA for decision

Use BIM to reduce errors in waste amount estimation

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SLIDE 59

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 14

  • 1. Demolition waste issue
  • 2. Demolition modelling
  • 3. Study case

THANK YOU FOR YOUR ATTENTION

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SLIDE 60

REFERENCES

  • AFNOR. Contribution des ouvrages de construction au développement durable - Évaluation de la performance environnementale des bâtiments - Méthode de calcul. 2011.

  • AFNOR. Contribution des ouvrages de construction au développement durable - Déclarations environnementales sur les produits - Règles régissant les catégories de produits de
  • construction. 2014.

ASAFUDDOULA M., RAY T., SARKER R. A decomposition-based evolutionary algorithm for many objective optimization. IEEE Transactions on evolutionary computation. 2015. Vol. 19, n°3, p. 445-460. Disponible sur : < https://doi.org/10.1109/TEVC.2014.2339823 >

CASTÉRA P., NDIAYE A., DELISÉE C., FERNANDEZ C., MALVESTIO J. Elaboration d’un isolant thermique et acoustique à base végétale - Du concept à sa réalisation. Revue des composites et des matériaux avancés. 2010. Vol. 20, n°3, p. 315-334. Disponible sur : < https://doi.org/10.3166/RCMA.20.315-334 >

  • CGDD. Entreprises du BTP : 227,5 millions de tonnes de déchets en 2014. Datalab : Essentiel. 2017a. Vol. Mars 2017, n°96, p. 4.

  • CGDD. Bilan 2014 de la production de déchets en France. Datalab : Essentiel. 2017b. Vol. Mars 2017, n°98, p. 4.

ECO BTP, RDC ENVIRONNEMENT. Benchmark européen sur la gestion des déchets de chantier - Synthèse. 2017.

HADKA D. MOEA Framework [En ligne]. 2017. Disponible sur : < http://moeaframework.org/index.html > (consulté le 20 juillet 2017)

KOESTEN J. Grands principes de la réglementation relative à la gestion des déchets du BTP. In : Journée technique « Déchets du BTP ». CEREMA, 2015. p. 20. Disponible sur : < http://www.nord-picardie.cerema.fr/IMG/pdf/CEREMA_Dter_NP_JT_D_R_chets_BTP_26112015_R_R_glementation_d_R_chets_BTP_cle61acfd.pdf > (consulté le 13 juillet 2016)

  • MEEM. Article 79 de la loi n°2015-992 du 17 août 2015 relative à la transition énergétique pour la croissance verte. 2015.

ORÉE. Comment mieux déconstruire & valoriser les déchets du BTP. 2018.

PARLEMENT EUROPÉEN ET CONSEIL. Directive 2008/98/CE relative aux déchets et abrogeant certaines directives [En ligne]. 2008. Disponible sur : < http://www.ineris.fr/aida/consultation_document/35787 > (consulté le 13 juillet 2016)

QUÉHEILLE E., TAILLANDIER F., SAIYOURI N. Optimization of strategy planning for building deconstruction. Automation in C

  • nstruction. 2019. Vol. 98, p. 236-247. Disponible sur : <

https://doi.org/10.1016/j.autcon.2018.11.007 >

7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE SOLID WASTE MANAGEMENT, HERAKLION, GREECE 15

  • 3. Study case
  • 2. Demolition modelling
  • 1. Demolition waste issue