comparative eco-efficiency analysis between hot in-place...

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Comparative Eco - Efficiency Analysis between Hot In - place Recycling and Milling - and - Filling Ms. Ruijun Cao, Dr. Zhen Leng, Dr. Mark Shu-Chien Hsu Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Pavement Life-Cycle Assessment Symposium 2017 13 April 2017, Champaign, IL

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Page 1: Comparative Eco-Efficiency Analysis between Hot In-place ...publish.illinois.edu/lcaconference/files/2016/06/03_PLCAS2017-ppt_z… · Comparative Eco-Efficiency Analysis between Hot

Comparative Eco-Efficiency Analysis between

Hot In-place Recycling and Milling-and-Filling

Ms. Ruijun Cao, Dr. Zhen Leng, Dr. Mark Shu-Chien Hsu

Department of Civil and Environmental Engineering

The Hong Kong Polytechnic University

Pavement Life-Cycle Assessment Symposium 2017

13 April 2017, Champaign, IL

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Outline

Eco-efficiency Analysis2

Case Study3

Service Life Sensitivity Analysis

Conclusions5

Objective1

4

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Objective

3

To quantify and visualize advantages and disadvantages of two asphalt pavement rehabilitation techniques in terms of economy and environment by employing Eco-efficiency analysis (EEA):

• Hot In-place Recycling (HIPR) • Milling- and-Filling (M&F)

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Eco-Efficiency Analysis (1/4)

The best alternative(Competing products, Processes, or Services)

Environmental Impact

Initially developed by a German chemicals company BASF

Economic Performance

Identify

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Eco-Efficiency Analysis (2/4)

The general framework of Eco-efficiency Analysis

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Eco-Efficiency Analysis (3/4)-Integration

Step 1: Normalization

The impact of each of environmental categories is normalized with respect to one another.

0

0.5

1Emissions

Energyconsumption

Raw materialconsumption

Toxicitypotential

Risk potential

Normalized Environmental Impacts

HIPR M&F

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Step 2: Weighting

Combine the normalized values via a weighting scheme to form a total index for the environmental impact categories.

Emissions 20%

Energy consumption

25%

Raw material consumption

25%

Toxicity potential

20%

Risk potential

10%

WEIGHTING FACTORS [%]

Eco-Efficiency Analysis (3/4)-Integration

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𝑷𝑷𝐄,𝜶 =𝑬𝑰𝜶

(𝚺𝐄𝐈)/𝒋

𝑷𝑷𝐂,𝜶 =𝑵𝑭𝑪,𝜶

(𝚺𝑵𝑭𝑪)/𝒋

Where, 𝑃𝑃𝑬, = Environmental impact portfolio position for product α 𝑃𝑃𝑪,= Cost impact portfolio position for product α 𝐸𝐼𝑎= Environmental impact of product α𝑁𝐹𝐶,𝛼= Normalization factor for the costs of product system α𝒋 = Number of products under consideration

Step 3: Eco-efficiency portfolio position

The EI and the NFC are used to calculate the portfolio position. (Kicherer et al., 2007)

Eco-Efficiency Analysis (3/4)-Integration

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Step 3: Eco-efficiency portfolio position

The EI and the NFC are used to calculate the portfolio position. (Kicherer et al., 2007)

Eco-Efficiency Analysis (3/4)-Integration

0.85

0.9

0.95

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1.05

1.1

1.15

0.850.951.051.15

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Costs (relative)

HIPR M&F

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Case Study (1/4) - Basic Information

Yingbin Avenue

LocationXianyang, Shaanxi, ChinaRehabilitation Method: HIPR Time: 2015Length: 3.8km

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HIPR (Real case) M & F (Mock case)

ConstructionScheme

Half Range Closure Half Range Closure

Reference Construction Report from the Freetech Technology Ltd.

The Chinese Industry Recommendatory Standards:

JTG-D50-2006JTG-F40-2004

JTG/T B06-02-2007

Service Life 15 years (Assumption) 15 years (Assumption)

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Case Study (1/4)-Basic Information

Wearing course: AC-10 30mm

Base course: AC-25 50mm

Wearing course: AC-13 40mm

Base course: AC-25 50mm

Before After

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Case Study (2/4)-System Boundary

Materials Extraction and

Production Phase

Transportation Phase

Construction Phase

End-of-Life Phase

Quarry/Asphalt Production Plant

Hot Asphalt Mixing Plant (Type 3000)

Construction Site

Scrap Yard

40km

0.5km

15km

Heating & Softening current pavement

Lifting & Remixing with new HMA and

rejuvenator

Paving

Compacting

Milling & Removing current pavement

Laying down the new HMA

HIPR M&F

Asphalt Refinery

Stone Mining

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Case Study (3/4)-Data Acquisition

Life Cycle Phase Software Function DeveloperMaterial

production phaseSimapro

7.0Model the GHGs, energy and raw material used in

the material extraction phasePRe

ConsultantsTransportation

phaseMOVES 2014a

Evaluate the GHGs and energy during the transportation of material

US EPA

Construction phase

NONROAD Provides emission factors for various ranges of horsepower of different construction equipment.

US EPA

End-of-life phase “Cut-off” allocation method

• Environmental Impact Data

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Case Study (3/4)-Data Acquisition

Cost Reference Developer

AgencyCost

Construction cost Contract &JTG/T b06-02-2007

Ministry of Communications of PRC

Energy consumption cost

User cost Traffic delay cost Real Cost FHWA

• Cost Data

AssumptionsAADT: 15000Speed limit: 90km/h 60km/h (work zone speed)

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Normalized results HIPR M&F

Environmental Impacts

Emissions (20%) 0.72 1Energy consumption (25%) 1 0.93

Raw material consumption (25%) 0.52 1Toxicity potential (20%) 1 1

Risk potential (10%) 1 1Overall environmental impact 0.84 1

Cost Performance

Agency cost (50%) 0.71 1User cost (50%) 1 0.99

Total Cost performance 0.95 1PPE 0.91 1.09PPC 0.97 1.03

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Case Study (4/4)-Results

• Normalized numerical results

• Reduce 28%

• Save 48%

• 7% more

• Save 29%

• Almost same

• Reduce 16%

• Reduce 5%

Same service life: 15 years

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Case Study (4/4)-Results• Graphical Results

00.10.20.30.40.50.60.70.80.9

1Emissions

Energy consumption

Raw materialconsumption

Toxicity potential

Risk potential

Normalized Environmental Impacts

HIPR M&F

0.85

0.9

0.95

1

1.05

1.1

1.15

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Costs (relative)HIPR M&F

It is clear to identify that the HIPR has the higher eco-efficiency than M&F for this case.

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Service Life Sensitivity Analysis (1/3)

15 15 15 15 151514 13 12

11

-3

2

7

12

17

Scenario A

Scenario B

Scenario C

Scenario D

Scenario E

M&F service life (year) HIPR service life (year)

SL (year)

Five Scenarios

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Service Life Sensitivity Analysis (2/3)

0

0.5

1

Emissions

Energyconsumption

Raw materialconsumption

Toxicitypotential

Risk potential

HIPR-A M&F-A

Scenario A

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Service Life Sensitivity Analysis (2/3)

0

0.5

1

Emissions

Energyconsumption

Raw materialconsumption

Toxicitypotential

Risk potential

HIPR-A HIPR-B M&F-A M&F-B

Scenario A

Scenario B

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Service Life Sensitivity Analysis (2/3)

0

0.5

1

Emissions

Energyconsumption

Raw materialconsumption

Toxicitypotential

Risk potential

HIPR-A HIPR-B HIPR-C M&F-A M&F-B M&F-C

Scenario A

Scenario B

Scenario C

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Service Life Sensitivity Analysis (2/3)

0

0.5

1

Emissions

Energyconsumption

Raw materialconsumption

Toxicitypotential

Risk potential

HIPR-A HIPR-B HIPR-C HIPR-D

M&F-A M&F-B M&F-C M&F-D

Scenario A

Scenario B

Scenario C

Scenario D

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Service Life Sensitivity Analysis (2/3)

0

0.5

1

Emissions

Energyconsumption

Raw materialconsumption

Toxicitypotential

Risk potential

HIPR-A HIPR-B HIPR-C HIPR-D HIPR-E

M&F-A M&F-B M&F-C M&F-D M&F-E

Scenario A

Scenario B

Scenario C

Scenario D

Scenario E

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Service Life Sensitivity Analysis (3/3)

A

B

C

D

E

A

B

C

D

E

0.85

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0.95

1

1.05

1.1

1.15

0.850.90.9511.051.11.15

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Costs (relative)

HIPR-A HIPR-B HIPR-C HIPR-D HIPR-E

M&F-A M&F-B M&F-C M&F-D M&F-E

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Service Life Sensitivity Analysis (3/3)

A

B

C

D

E

A

B

C

D

E

0.85

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0.95

1

1.05

1.1

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Costs (relative)

HIPR-A HIPR-B HIPR-C HIPR-D HIPR-E

M&F-A M&F-B M&F-C M&F-D M&F-E

M&F HIPR

15 15

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Service Life Sensitivity Analysis (3/3)

A

B

C

D

E

A

B

C

D

E

0.85

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0.95

1

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1.1

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Costs (relative)

HIPR-A HIPR-B HIPR-C HIPR-D HIPR-E

M&F-A M&F-B M&F-C M&F-D M&F-E

M&F HIPR

15 14

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Service Life Sensitivity Analysis (3/3)

A

B

C

D

E

A

B

C

D

E

0.85

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0.95

1

1.05

1.1

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Costs (relative)

HIPR-A HIPR-B HIPR-C HIPR-D HIPR-E

M&F-A M&F-B M&F-C M&F-D M&F-E

M&F HIPR

15 13

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Service Life Sensitivity Analysis (3/3)

A

B

C

D

E

A

B

C

D

E

0.85

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0.95

1

1.05

1.1

1.15

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Costs (relative)

HIPR-A HIPR-B HIPR-C HIPR-D HIPR-E

M&F-A M&F-B M&F-C M&F-D M&F-E

M&F HIPR

15 12

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Service Life Sensitivity Analysis (3/3)

A

B

C

D

E

A

B

C

D

E

0.85

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0.95

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1.1

1.15

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Costs (relative)

HIPR-A HIPR-B HIPR-C HIPR-D HIPR-E

M&F-A M&F-B M&F-C M&F-D M&F-E

M&F HIPR

15 11

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Conclusions

• In this project, the decreasing service life of HIPR witnesses itsreduction of relative eco-efficiency compared with M&F techniques.For the presented case study, when the ratio of service life of twoalternatives reaches 12/15 (HIPR/M&F), the M&F starts to show itsadvantages.

• EEA shows its high potential as an effective sustainabilityassessment tool for comparing asphalt pavement rehabilitationalternatives.

• Time period, region, system boundaries, transportation distance,crude source distribution, and treatment of refinery allocation willall affect the final eco-efficiency results. Therefore, further researchis recommended on the sensitivity analysis about the effects ofvarious factors to obtain more comprehensive results.

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Thanks [email protected]