Optimization of catalytic glycerol steam reforming to light olefins using Cu/ZSM-5 catalyst

Z.Y. Zakaria, N.A.S. Amin (Corresponding Author), Juha Linnekoski

    Research output: Contribution to journalArticleScientificpeer-review

    18 Citations (Scopus)

    Abstract

    Response surface methodology (RSM) and multi-objective genetic algorithm was employed to optimize the process parameters for catalytic conversion of glycerol, a byproduct from biodiesel production, to light olefins using Cu/ZSM-5 catalyst. The effects of operating temperature, weight hourly space velocity (WHSV) and glycerol concentration on light olefins selectivity and yield were observed. Experimental results revealed the data adequately fitted into a second-order polynomial model. The linear temperature and quadratic WHSV terms gave significant effect on both responses. Optimization of both the responses indicated that temperature favouring high light olefin formation lied beyond the experimental design range. The trend in the temperature profile concurred commensurately with the thermodynamic analysis. Multi-objective genetic algorithm was performed to attain a single set of processing parameters that could produce both the highest light olefin selectivity and yield. The turn-over-frequency (TOF) of the optimized responses demonstrated a slightly higher value than the one which was not optimized. Combination of RSM, multi-objective response and thermodynamic is useful to determine the process optimal operating conditions for industrial applications.
    Original languageEnglish
    Pages (from-to)735-744
    Number of pages9
    JournalEnergy Conversion and Management
    Volume86
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Steam reforming
    Glycerol
    Olefins
    Catalysts
    Genetic algorithms
    Thermodynamics
    Temperature
    Biodiesel
    Design of experiments
    Industrial applications
    Byproducts
    Processing

    Keywords

    • biodiesel
    • biofuels
    • glycerol
    • olefins
    • catalytic conversion
    • process optimization
    • response surface methodology

    Cite this

    Zakaria, Z.Y. ; Amin, N.A.S. ; Linnekoski, Juha. / Optimization of catalytic glycerol steam reforming to light olefins using Cu/ZSM-5 catalyst. In: Energy Conversion and Management. 2014 ; Vol. 86. pp. 735-744.
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    abstract = "Response surface methodology (RSM) and multi-objective genetic algorithm was employed to optimize the process parameters for catalytic conversion of glycerol, a byproduct from biodiesel production, to light olefins using Cu/ZSM-5 catalyst. The effects of operating temperature, weight hourly space velocity (WHSV) and glycerol concentration on light olefins selectivity and yield were observed. Experimental results revealed the data adequately fitted into a second-order polynomial model. The linear temperature and quadratic WHSV terms gave significant effect on both responses. Optimization of both the responses indicated that temperature favouring high light olefin formation lied beyond the experimental design range. The trend in the temperature profile concurred commensurately with the thermodynamic analysis. Multi-objective genetic algorithm was performed to attain a single set of processing parameters that could produce both the highest light olefin selectivity and yield. The turn-over-frequency (TOF) of the optimized responses demonstrated a slightly higher value than the one which was not optimized. Combination of RSM, multi-objective response and thermodynamic is useful to determine the process optimal operating conditions for industrial applications.",
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    author = "Z.Y. Zakaria and N.A.S. Amin and Juha Linnekoski",
    year = "2014",
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    Optimization of catalytic glycerol steam reforming to light olefins using Cu/ZSM-5 catalyst. / Zakaria, Z.Y.; Amin, N.A.S. (Corresponding Author); Linnekoski, Juha.

    In: Energy Conversion and Management, Vol. 86, 2014, p. 735-744.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Optimization of catalytic glycerol steam reforming to light olefins using Cu/ZSM-5 catalyst

    AU - Zakaria, Z.Y.

    AU - Amin, N.A.S.

    AU - Linnekoski, Juha

    PY - 2014

    Y1 - 2014

    N2 - Response surface methodology (RSM) and multi-objective genetic algorithm was employed to optimize the process parameters for catalytic conversion of glycerol, a byproduct from biodiesel production, to light olefins using Cu/ZSM-5 catalyst. The effects of operating temperature, weight hourly space velocity (WHSV) and glycerol concentration on light olefins selectivity and yield were observed. Experimental results revealed the data adequately fitted into a second-order polynomial model. The linear temperature and quadratic WHSV terms gave significant effect on both responses. Optimization of both the responses indicated that temperature favouring high light olefin formation lied beyond the experimental design range. The trend in the temperature profile concurred commensurately with the thermodynamic analysis. Multi-objective genetic algorithm was performed to attain a single set of processing parameters that could produce both the highest light olefin selectivity and yield. The turn-over-frequency (TOF) of the optimized responses demonstrated a slightly higher value than the one which was not optimized. Combination of RSM, multi-objective response and thermodynamic is useful to determine the process optimal operating conditions for industrial applications.

    AB - Response surface methodology (RSM) and multi-objective genetic algorithm was employed to optimize the process parameters for catalytic conversion of glycerol, a byproduct from biodiesel production, to light olefins using Cu/ZSM-5 catalyst. The effects of operating temperature, weight hourly space velocity (WHSV) and glycerol concentration on light olefins selectivity and yield were observed. Experimental results revealed the data adequately fitted into a second-order polynomial model. The linear temperature and quadratic WHSV terms gave significant effect on both responses. Optimization of both the responses indicated that temperature favouring high light olefin formation lied beyond the experimental design range. The trend in the temperature profile concurred commensurately with the thermodynamic analysis. Multi-objective genetic algorithm was performed to attain a single set of processing parameters that could produce both the highest light olefin selectivity and yield. The turn-over-frequency (TOF) of the optimized responses demonstrated a slightly higher value than the one which was not optimized. Combination of RSM, multi-objective response and thermodynamic is useful to determine the process optimal operating conditions for industrial applications.

    KW - biodiesel

    KW - biofuels

    KW - glycerol

    KW - olefins

    KW - catalytic conversion

    KW - process optimization

    KW - response surface methodology

    U2 - 10.1016/j.enconman.2014.06.040

    DO - 10.1016/j.enconman.2014.06.040

    M3 - Article

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    SN - 0196-8904

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