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Cooking oils and fat waste collection infrastructure planning: a regional-level outline

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dc.title Cooking oils and fat waste collection infrastructure planning: a regional-level outline en
dc.contributor.author Matušinec, Josef
dc.contributor.author Hrabec, Dušan
dc.contributor.author Šomplák, Radovan
dc.contributor.author Nevrlý, Vlastimir
dc.contributor.author Redutskiy, Yury
dc.relation.ispartof Clean Technologies and Environmental Policy
dc.identifier.issn 1618-954X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2021
dc.type article
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.identifier.doi 10.1007/s10098-021-02087-y
dc.relation.uri https://link.springer.com/article/10.1007/s10098-021-02087-y
dc.subject cooking oil and fat waste en
dc.subject waste infrastructure planning en
dc.subject waste bin and container en
dc.subject network design en
dc.description.abstract Among the current trends in waste management and circular economy is the involvement of new fractions of waste for sorting and collection. One of them is fats and cooking oils, especially those coming from households. Now, the nascent fat waste recycling becomes promoted as regulations and waste recovery targets have been set in the European Union. The traditional manner of discarding household fat waste usually causes sewage problems. However, utilisation of this waste brings the potential for contributing to the energy supply and material recovery. This research presents a mathematical model for the optimal location of fat waste bins and containers in the given municipalities. The container network should comprise as few containers as possible, while the walking distance for the citizens towards the container is as short as possible. The objective of the proposed optimisation model is to minimise the total number of collection points (infrastructure cost). The collection points represent the citizens’ addresses in a municipality. The average walking distance towards a container is a novel feature in the model, which is pertinent to waste fractions with low production per person. Cluster analysis describes the variability between municipalities, and further, it is possible to use regression analysis to model the number of containers for any municipality or region. The proposed general decision support tool estimates the total cost and number of bins needed for any region or a country. The region from the Czech Republic, which was used as a study area, revealed the requirement for 609 containers, with only EUR 30,000 of investment cost. There are around 950 inhabitants assigned to a single collection point on average. Graphic abstract: [Figure not available: see fulltext.]. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010342
utb.identifier.obdid 43884150
utb.identifier.scopus 2-s2.0-85105343798
utb.identifier.wok 000644749300001
utb.source j-scopus
dc.date.accessioned 2021-05-25T11:04:51Z
dc.date.available 2021-05-25T11:04:51Z
dc.description.sponsorship [GA 20-00091Y]; [CZ.02.1.01/0.0/0.0/15_003/0000456]; [CZ.02.1.01/0.0/0.0/16026/0008392]
dc.description.sponsorship CZ.02.1.01/0.0/0.0/15_003/0000456; European Commission, EC: CZ.02.1.01/0.0/0.0/16026/0008392; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Grantová Agentura České Republiky, GA ČR
utb.contributor.internalauthor Matušinec, Josef
utb.contributor.internalauthor Hrabec, Dušan
utb.fulltext.sponsorship This work was supported by Grant No. GA 20-00091Y of the Czech Science Foundation. The support is gratefully acknowledged. The authors also acknowledge the financial support provided by the project Sustainable Process Integration Laboratory – SPIL, funded as project No. CZ.02.1.01/0.0/0.0/15_003/0000456, the Operational Programme Research, Development and Education of the Czech Ministry of Education, Youth and Sports by EU European Structural and Investment Funds, Operational Programme Research, Development and Education. The research was also supported by the project Computer Simulations for Effective Low-Emission Energy funded as project No. CZ.02.1.01/0.0/0.0/16026/0008392.
utb.wos.affiliation [Matusinec, Josef; Hrabec, Dusan] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic; [Somplak, Radovan; Nevrly, Vlastimir] Brno Univ Technol VUT Brno, NETME Ctr, Sustainable Proc Integrat Lab SPIL, Fac Mech Engn, Tech 2896-2, Brno 61669, Czech Republic; [Redutskiy, Yury] Specialized Univ Logist, Molde Univ Coll, POB 2110, N-6402 Molde, Norway
utb.scopus.affiliation Faculty of Applied Informatics, Tomaš Baťa University in Zlín, T.G. Masaryka 5555, Zlín, 760 01, Czech Republic; Sustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology – VUT Brno, Technická 2896/2, Brno, 616 69, Czech Republic; Molde University College – Specialized University in Logistics, P.O. Box 2110, Molde, 6402, Norway
utb.fulltext.projects GA 20-00091Y
utb.fulltext.projects CZ.02.1.01/0.0/0.0/15_003/0000456
utb.fulltext.projects CZ.02.1.01/0.0/0.0/16026/0008392
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