Dynamic modeling the composting process of the mixture of poultry manure and wheat straw.
Due to lack of understanding of the complex nature of the composting process, there is a need to provide a valuable tool that can help to improve the prediction of the process performance but also its optimization. Therefore, the main objective of this study is to develop a comprehensive mathematica...
| Publicado en: | Journal of Environmental Management Vol. 161; pp. 392 - 402 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
Sep2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=109126049&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 109126049 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Sep2015 vid: 161 pid: 735 pub: Academic Press Inc. artinfo: ui: 109126049 10.1016/j.jenvman.2015.07.033 ppf: 392 ppct: 10 formats: tig: atl: Dynamic modeling the composting process of the mixture of poultry manure and wheat straw. aug: au: Petric, Ivan Mustafić, Nesib affil: Department of Process Engineering, Faculty of Technology, University of Tuzla, Univerzitetska 8, 75000, Tuzla, Bosnia and Herzegovina su: Poultry manure Wheat straw Mathematical optimization Biotic communities Air flow sug: subj: Poultry manure Wheat straw Mathematical optimization Biotic communities Air flow keyword: Composting Microbial kinetics Modeling Reactor model Validation Composting Microbial kinetics Modeling Reactor model Validation ab: Due to lack of understanding of the complex nature of the composting process, there is a need to provide a valuable tool that can help to improve the prediction of the process performance but also its optimization. Therefore, the main objective of this study is to develop a comprehensive mathematical model of the composting process based on microbial kinetics. The model incorporates two different microbial populations that metabolize the organic matter in two different substrates. The model was validated by comparison of the model and experimental data obtained from the composting process of the mixture of poultry manure and wheat straw. Comparison of simulation results and experimental data for five dynamic state variables (organic matter conversion, oxygen concentration, carbon dioxide concentration, substrate temperature and moisture content) showed that the model has very good predictions of the process performance. According to simulation results, the optimum values for air flow rate and ambient air temperature are 0.43 l min −1 kg −1 OM and 28 °C, respectively. On the basis of sensitivity analysis, the maximum organic matter conversion is the most sensitive among the three objective functions. Among the twelve examined parameters, μ max ,1 is the most influencing parameter and X 1 is the least influencing parameter. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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