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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