Assessing the Carbon Footprint of Plastic Bottle Blow Mold Based on Product Life Cycle for Managing the Mold Industry’s Carbon Emission
Abstract
:1. Introduction
1.1. Background
1.2. Literature Review
1.3. The Legal Framework of the Relationship between Green Steel and the European Green Deal
1.4. Research Aims
2. Materials and Methods
2.1. Product-Based Carbon Tracking and Analysis of “Plastic Bottle Blow Mold”
2.2. Life Cycle Assessment Analysis
- Step 1: Clarify the study’s objective.
- Step 2: Define the functional unit.
- Step 3: Establish system boundaries.
- Source of Raw Materials: Raw materials are transported via sea and road.
- Production Process: Both production phases for the goods align with the factory’s established production cycle.
- Stuffing: Packaging for the produced items is crafted using both recyclable and nonrecyclable materials.
- Delivery of Finished Goods: The finalized products are assuredly shipped via cargo ships to Europe and then delivered by road to businesses in Turkey.
- Last Phase: The ultimate stage involves the disposal of both the product and its packaging.
- Step 4: Gathering data.
- Information on raw materials is sourced directly from the purchasing unit.
- Production quantities and shipment details are obtained from invoices, marketing records, and the foreign trade unit. The computation of this information relies primarily on the installed power of the machines, given that not all aspects of energy consumption are equipped with individual meters. The study predominantly relies on primary data.
- Quantity of purchased raw materials
- Shipment details during the raw material supply phase
- Utilization of natural gas and electricity during production
- Quantity of PBBMs processed by the business
- Amount of purchased packaging materials
- Information on shipments during the raw material supply phase
- Details regarding product delivery to customers
- Wastewater and solid waste generation
3. Results
3.1. CF Analysis of the Transportation Process
3.2. CF Analysis of Energy Consumption
3.3. Uncertainty Analysis
4. Discussion
- Further categorizing deliveries by transportation modes reveals that sea transportation has the least environmental impact in terms of carbon emissions (Figure 6).
- To enhance the robustness of the findings, a thorough uncertainty analysis has been conducted. This involved the identification and quantification of uncertainties associated with data sources, model parameters, and key assumptions. The results of the uncertainty analysis provide a more detailed understanding of the reliability of the calculated CF.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Countries of Raw Material Supply | Transport Mode | Distance (km) | Ton CO2 Equivalent |
Germany | Road | 6448 | 1181.134273 |
France | Airway | 2973 | 1859.561474 |
Countries of Product Delivery | Transport Mode | Distance (km) | Ton CO2 Equivalent |
Azerbaijan | Road | 2070 | 1181.134 |
Saudi Arabia | Airway | 1692 | 1859.561474 |
Belgium | Airway | 2871 | 3155.319735 |
Pakistan | Airway | 3377 | 3711.429727 |
Libya | Airway | 1496 | 1644.15128 |
Lebanon | Seaway | 326 | 2.94052 |
Uzbekistan | Airway | 2762 | 3035.52529 |
Kyrgyzstan | Airway | 3380 | 3714.726822 |
South Africa | Airway | 6621 | 7276.68825 |
Iraq | Road | 1104 | 629.9382789 |
Kuwait | Airway | 1420 | 1560.624878 |
Czech Republic | Road | 2779 | 1585.687026 |
Russia | Airway | 8614 | 9467.058237 |
Kazakhstan | Airway | 2844 | 3125.645882 |
Kyrgyzstan | Road | 4669 | 2664.113971 |
Cyprus | Seaway | 255 | 2.3001 |
Lebanon | Airway | 8457 | 9294.510275 |
Jordan | Airway | 9914 | 10,895.79932 |
Georgia | Airway | 749 | 823.1746714 |
United Arab Emirates | Airway | 2285 | 2511.287215 |
Tunisia | Airway | 2408 | 2646.468102 |
Czech Republic | Airway | 2212 | 2431.057908 |
Greece | Airway | 933 | 1025.396487 |
Poland | Road | 3220 | 1837.31998 |
Germany | Road | 3224 | 1839.602365 |
Iraq | Airway | 922 | 1013.307139 |
Electricity Activity Data (MWh) | CO2 eq/MWh | Ton CO2 Equivalent |
0.90 | 0.44 | 0.40 |
Electricity Leakage | CO2 eq/MWh | Ton CO2 Equivalent |
0.1463 | 0.13 | 0.06 |
Source Description | Activity Data | Unit Used to Measure Activity Data | GHG Emission Factor | Uncertainty of Emission Factor |
---|---|---|---|---|
Water | 93.00 | lt | 0.18 | +/−5.0% |
Electricity | 0.90 | kW | 0.44 | +/−5.0% |
Boron oil | 7.00 | kg | 0.05 | +/−5.0% |
Raw material | 0.03 | kg | 0.36 | +/−5.0% |
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Yavuzdeğer, A.; Esenboğa, B.; Tümay Ateş, K.; Demirdelen, Ö.; Yüksel, M. Assessing the Carbon Footprint of Plastic Bottle Blow Mold Based on Product Life Cycle for Managing the Mold Industry’s Carbon Emission. Sustainability 2024, 16, 2149. https://doi.org/10.3390/su16052149
Yavuzdeğer A, Esenboğa B, Tümay Ateş K, Demirdelen Ö, Yüksel M. Assessing the Carbon Footprint of Plastic Bottle Blow Mold Based on Product Life Cycle for Managing the Mold Industry’s Carbon Emission. Sustainability. 2024; 16(5):2149. https://doi.org/10.3390/su16052149
Chicago/Turabian StyleYavuzdeğer, Abdurrahman, Burak Esenboğa, Kübra Tümay Ateş, Özge Demirdelen, and Mehmet Yüksel. 2024. "Assessing the Carbon Footprint of Plastic Bottle Blow Mold Based on Product Life Cycle for Managing the Mold Industry’s Carbon Emission" Sustainability 16, no. 5: 2149. https://doi.org/10.3390/su16052149
APA StyleYavuzdeğer, A., Esenboğa, B., Tümay Ateş, K., Demirdelen, Ö., & Yüksel, M. (2024). Assessing the Carbon Footprint of Plastic Bottle Blow Mold Based on Product Life Cycle for Managing the Mold Industry’s Carbon Emission. Sustainability, 16(5), 2149. https://doi.org/10.3390/su16052149