Optimising Waste Management Technologies through Statistical Entropy Analysis: A Quantitative Approach to Enhanced Resource Recovery
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F25%3A00638422" target="_blank" >RIV/67985858:_____/25:00638422 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22320/25:43932275
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2772912525001976?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2772912525001976?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.clwas.2025.100399" target="_blank" >10.1016/j.clwas.2025.100399</a>
Alternative languages
Result language
angličtina
Original language name
Optimising Waste Management Technologies through Statistical Entropy Analysis: A Quantitative Approach to Enhanced Resource Recovery
Original language description
The recovery of valuable materials from waste streams is essential to achieving global sustainability. Despite the variety of waste management technologies available, systematic and quantitative methods for evaluating and optimising their performance remain limited. This study addresses this gap by focusing on the optimisation of waste management technologies through the statistical entropy analysis (SEA). For the case study, the FLUWA® (fly ash washing) technology for recovering Zn, Pb, and Cu from municipal solid waste incineration (MSWI) fly ash was chosen. Four technology configurations, varying in material intensity and metal recovery efficiency, were analysed. The assessment used a comprehensive dataset from long-term monitoring (2018–2022), complemented by laboratory and pilot-scale experiments. It included the chemical composition and properties of the technological streams. After statistical data treatment (removal of outliers, calculation of mean values and standard deviations), a material flow analysis (MFA) was performed. Subsequently, SEA was applied to quantify changes innstatistical entropy (SE). The results show that the basic configuration of FLUWA® increases SE (ΔHMETALS=+3.4%), indicating dilution and loss of target metals. Optimisation of the extraction step led to substantial entropy reductions (ΔHMETALS =−16.3% and ΔHMETALS=−23.8% in two optimised cases), reflecting enhanced metal recovery and reduced dissipation. Additionally, coagulation and flocculation were found to have no effect on SE (ΔHMETALS=0), suggesting that these steps may be redundant from the perspective of metal recovery.
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
10511 - Environmental sciences (social aspects to be 5.7)
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
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Cleaner Waste Systems
ISSN
2772-9125
e-ISSN
2772-9125
Volume of the periodical
12
Issue of the periodical within the volume
DEC 2025
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
100399
UT code for WoS article
001562756800002
EID of the result in the Scopus database
2-s2.0-105014406948