Application of MFA as a decision support tool for waste … · 2014. 6. 25. · Questionaries Waste...

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Application of MFA as a decision support tool for waste management in small municipalities – case study of Serbia Dr. Nemanja Stanisavljevic Assistant professor Faculty of Technical Sciences Department of Environmental Engineering

Transcript of Application of MFA as a decision support tool for waste … · 2014. 6. 25. · Questionaries Waste...

Page 1: Application of MFA as a decision support tool for waste … · 2014. 6. 25. · Questionaries Waste water Measurements Quantity Quality. Waste generation measurements Implemented

Application of MFA as a decision support tool for waste management in small municipalities – case

study of Serbia

Dr. Nemanja Stanisavljevic

Assistant professor

Faculty of Technical Sciences

Department of Environmental Engineering

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Goal of the project?

Waste management

- OPTIMIZATION -

S

Y

S

T

E

M

S

Waste water

management

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Material Flow Approach?

Waste management systems

Waste

Waste water

Off gas

Solids ?

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Goal oriented decisions?

- Protection of mankind and the environment

- Conservation of recourses

- Sustainable waste management

Available technology treatments

„Economic boundaries = Affordability of waste management“

Legislation (EU Hierarhy)

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Selection of municipalities?

Bela Crkva

20688 st.

Region-VršacKrupanj

20191 st.

Region-Loznica

Kuršumlija

20688 st.

Region-Niš

Aleksandrovac

23971 st.

Region-Kruševac

Svijalnac

33097 st.

Region-Lapovo

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Application of MFA for model development

time boundary: 1 year

Input

Waste generators

Collection and transport

Waste treatment

Regional waste management

center

Emissions

Emissions

&

recyclables

I II III IV

MSW

Agriculture waste

Industry waste

Stock

Recyclables

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Data

Waste

MSW

Agriculture

Industry

4 sesonal

measurements

Calculation

Questionaries

Waste water Measurements

Quantity

Quality

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Waste generation measurementsImplemented by:

Waste Quantity Waste Composition

Collection

Measurement on weight bridges Recording of data

Disposal of measured waste

Perform in period of one week i.e. when whole municipality was covered by collection

Samples collection (3 zones x 500kg)

Manual sorting (15 fractions)

Measuring of each category

Performed in 4 seasons

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Scenario development

- Population under organized waste collection system

- Waste separation activities on a very low level

- No energy recovery from the waste

- Direct landfiling of biodegradable waste fractions without any pretreatment

- Unapropriate landfil practice (landfill gas, leachate)

Critical assesment of status quo

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Status quo

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Scenario development

- Scenario 1 –waste transportation to the Regional center

- Scenario 2 - waste separation plant and transport into the Regional center

- Scenario 3 – waste separation plant, and composting plant

- Scenario 4 – separation plant, anaerobic digestion and composting plant

- Primary selection of recyclable materials -

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Scenario I

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Scenario II

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Scenario III

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Collection system - A

Waste category Wet bin Dry bin

Garden waste 95% 5%

Other biodegradable waste 85% 15%

Paper 30% 70%

Glass 30% 70%

Cardboard 30% 70%

Composite materials 30% 70%

Metals – packaging and other 30% 70%

Aluminum cans 30% 70%

Plastic packaging waste 30% 70%

Plastic bags 70% 30%

Other plastic 30% 70%

Textile 30% 70%

Leather 70% 30%

Diapers 98% 2%

Fine elements 98% 2%

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Scenario IV

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Collection system

Waste category Bio bin Rec. Mat Other

Garden waste 85% 5% 10%

Other biodegradable waste 85% 5% 10%

Paper 3% 95% 2%

Glass 3% 85% 12%

Cardboard 3% 95% 2%

Composite materials 5% 70% 25%

Metals – packaging and other 3% 95% 2%

Aluminum cans 3% 95% 2%

Plastic packaging waste 3% 95% 2%

Plastic bags 5% 15% 80%

Other plastic 3% 95% 2%

Textile 5% 70% 25%

Leather 5% 5% 90%

Diapers 5% 5% 90%

Fine elements 5% 5% 90%

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Criteria's for evaluation

• GHG emissions

• Energy consumption

• Energy production

• Recycling rate

• Landfill volume

• Mass of landfilled organic waste

• N Leachate to the hydrosphere

• Economical feasibility - costs

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Criteria's for evaluation - Results

0

50

100

150

200

250

300

350

400

Bela Crkva

Status quo Scenario 1 Scenario 2 Scenario 3 Scenario 4

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Summarry and conclusion

- Data collection

- Scenario development

- Evaluation of developed scenarios and future perspectives

„SCENARIO ANALYSIS BEFORE MAKING ANY NEW DECISIONS IN WASTE MANAGEMENT“

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THANK YOU!

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ISWA WORLD CONGRESS 2016„NOVI SAD“ SERBIA