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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63557218" target="_blank" >RIV/70883521:28140/22:63557218 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26210/22:PU141152

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>

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. Graphic abstract: [Figure not available: see fulltext.]. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20704 - Energy and fuels

Project

<a href="/en/project/GJ20-00091Y" target="_blank" >GJ20-00091Y: Development of Sustainable Waste Management: Methods and Operations Research Perspectives</a><br>

Continuities

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

Publication year

2022

Confidentiality

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

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

Neuveden

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

nestrankovano

UT code for WoS article

000644749300001

EID of the result in the Scopus database

2-s2.0-85105343798