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New Approach for Calculation of Recycling Rates of Municipal Waste in the Circular Economy (CE) Cover

New Approach for Calculation of Recycling Rates of Municipal Waste in the Circular Economy (CE)

Open Access
|Aug 2022

Figures & Tables

Figure 1.

Investment gap and investment outlays in the treatment of municipal waste. Source: Own study based on data from KPGO 2022 [18]
Investment gap and investment outlays in the treatment of municipal waste. Source: Own study based on data from KPGO 2022 [18]

Figure 2.

Tendency of changes in the recycling rate [%] in the adopted variants. Source: Own study
Tendency of changes in the recycling rate [%] in the adopted variants. Source: Own study

Recycling rates [%] in the analyzed scenarios in two variants

DescriptionLarge municipalities Recycling rate [%]Medium municipalities Recycling rate [%]Small municipalities Recycling rate [%]Average value of the recycling rate [%]
Scenario numberVariant Number
Scenario 1Variant I12.9615.0812.2213.4216.65
 Variant II18.4821.2019.9419.87
Scenario 2Variant I21.7417.3716.5216.5222.95
 Variant II31.0324.1226.9026.90
Scenario 3Variant I29.3833.1218.2618.2633.55
 Variant II42.7247.9929.8129.81

Summary of scenarios and determination of the patterns of the recycling rate in the developed variants

Scenario numberScenario descriptionDetermining the pattern – variant IDetermining the pattern – variant II
Scenario 1the recycling rate is calculated as the ratio of the weight of paper, metal, plastic and glass (PMPG) prepared for re-use and recycling to the weight of total municipal waste generated p=MrpmpgMwREAL×100% where:P – level of preparation for re-use and recycling of municipal waste, %,Mrpmpg – total mass of paper, metal, plastic and glass waste prepared for re-use and recycling, Mg,MwREAL – total mass of generated (collected) municipal waste, Mg p=MrpmpgMwCSO×100% where:P – level of preparation for re-use and recycling of municipal waste, %,Mrpmpg – total mass of paper, metal, plastic and glass waste prepared for re-use and recycling, Mg,MwCSO – total mass of generated municipal waste, Mg
Scenario 2the recycling rate is calculated as the ratio of the weight of paper, metal, plastic and glass waste prepared for re-use and recycling, and bio-waste transferred to the recycling process (input into the recycling process) to the total weight of municipal waste generated p=Mrpmpg+BIOMwREAL×100% where:P – level of preparation for re-use and recycling of municipal waste,%, Mrpmpg+BIOrec – total weight of paper, metal, plastic, glass and recycled bio-waste, Mg,MwREAL – total mass of generated (collected) municipal waste, Mg p=Mrpmpg+BIOMwCSO×100% where:P – level of preparation for re-use and recycling of municipal waste, %,Mrpmpg+BIOrec – total weight of paper, metal, plastic, glass and recycled bio-waste, Mg,MwCSO – total mass of generated municipal waste, Mg
Scenario 3the recycling rate is calculated as the ratio of the weight of paper, metal, plastic and glass waste and bio-waste collected and collected selectively in municipal waste management systems to the total weight of municipal waste generated p=Mrsel(pmpg+BIO)MwREAL×100% where:P – level of preparation for re-use and recycling of municipal waste, %,Mrsel(pmpg+BIO) – total mass of separately collected waste paper, metals, plastics, recycled glass and bio-waste, Mg,MwREAL – total mass of generated (collected) municipal waste, Mg p=Mrsel(pmpg+BIO)MwCSO×100% where:P – the level of preparation for re-use and recycling of municipal waste, expressed in %,Mrsel(pmpg+BIO) – total mass of separately collected waste paper, metals, plastics, recycled glass and bio-waste, Mg,MwCSO – total mass of generated municipal waste, Mg

Recycling rates [%] in the analysed scenarios according to two variants for GMK in 2018-2020

Description201820192020
Recycling levels achieved by the City of Krakow42.0055.9269.49
Scenario numberVariant NumberRecycling rate [%]Recycling rate [%]Recycling rate [%]
Scenario 1Variant I12.7814.0417.35
 Variant II20.9222.8826.91
Scenario 2Variant I18.1419.6727.52
 Variant II29.6932.0542.66
Scenario 3Variant I32.2034.2640.55
 Variant II52.7155.8362.88
DOI: https://doi.org/10.21307/acee-2021-036 | Journal eISSN: 2720-6947 | Journal ISSN: 1899-0142
Language: English
Page range: 125 - 136
Submitted on: Nov 13, 2021
Accepted on: Nov 24, 2021
Published on: Aug 4, 2022
Published by: Silesian University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2022 Aneta DOROSZ, Agnieszka GENEROWICZ, Henryk KULTYS, published by Silesian University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.