Optimising Waste Management Technologies through Statistical Entropy Analysis: A Quantitative Approach to Enhanced Resource Recovery
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/60461373:22320/25:43932275
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimising Waste Management Technologies through Statistical Entropy Analysis: A Quantitative Approach to Enhanced Resource Recovery
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Optimising Waste Management Technologies through Statistical Entropy Analysis: A Quantitative Approach to Enhanced Resource Recovery
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Cleaner Waste Systems
ISSN
2772-9125
e-ISSN
2772-9125
Svazek periodika
12
Číslo periodika v rámci svazku
DEC 2025
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
11
Strana od-do
100399
Kód UT WoS článku
001562756800002
EID výsledku v databázi Scopus
2-s2.0-105014406948