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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU141152" target="_blank" >RIV/00216305:26210/22:PU141152 - isvavai.cz</a>

  • Alternative codes found

    RIV/70883521:28140/22:63557218

  • Result on the web

    <a href="https://doi.org/10.1007/s10098-021-02087-y" target="_blank" >https://doi.org/10.1007/s10098-021-02087-y</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10098-021-02087-y" target="_blank" >10.1007/s10098-021-02087-y</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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. [GRAPHICS] .

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Clean Technologies and Environmental Policy

  • ISSN

    1618-954X

  • e-ISSN

    1618-9558

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    109-123

  • UT code for WoS article

    000644749300001

  • EID of the result in the Scopus database

    2-s2.0-85105343798