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  <rdf:Description rdf:about="https://doi.org/10.1016/j.watres.2019.114932">
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    <dct:references>https://www.iris.unina.it/bitstream/11588/757589/1/Post-print%20for%20IRIS.pdf</dct:references>
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    <dct:isPartOf>Water Research</dct:isPartOf>
    <dct:license>Open Access</dct:license>
    <dct:created>2019-07-30</dct:created>
    <dct:available>2021-12-20</dct:available>
    <dct:available>2019-08-07</dct:available>
    <dc:description>High-solids anaerobic digestion (HS-AD) of the organic fraction of municipal solid waste (OFMSW) is operated at a total solid (TS) content&#8239;&#8805;&#8239;10% to enhance the waste treatment economy, though it might be associated to free ammonia (NH3) inhibition. This study aimed to calibrate and cross-validate a HS-AD model for homogenized reactors in order to assess the effects of high NH3 levels in HS-AD of OFMSW, but also to evaluate the suitability of the reversible non-competitive inhibition function to reproduce the effect of NH3 on the main acetogenic and methanogenic populations. The practical identifiability of structural/biochemical parameters (i.e. 35) and initial conditions (i.e. 32) was evaluated using batch experiments at different TS and/or inoculum-to-substrate ratios. Variance-based global sensitivity analysis and approximate Bayesian computation were used for parameter optimization. The experimental data in this study permitted to estimate up to 8 biochemical parameters, whereas the rest of parameters and biomass contents were poorly identifiable. The study also showed the relatively high levels of NH3 (i.e. up to 2.3&#8239;g&#8239;N/L) and ionic strength (i.e. up to 0.9&#8239;M) when increasing TS in HS-AD of OFMSW. However, the NH3 non-competitive function was unable to capture the acetogenic/methanogenic inhibition. Therefore, the calibration emphasized the need for target-oriented experimental data to enhance the practical identifiability and the predictive capabilities of structured HS-AD models, but also the need for further testing the NH3 inhibition function used in these simulations.</dc:description>
    <dc:subject>[SDE] Environmental Sciences</dc:subject>
    <dc:subject>[SDV]Life Sciences [q-bio]</dc:subject>
    <dc:subject>0207 environmental engineering</dc:subject>
    <dc:subject>high-solids anaerobic digestion model</dc:subject>
    <dc:subject>Bayes Theorem</dc:subject>
    <dc:subject>02 engineering and technology</dc:subject>
    <dc:subject>Solid Waste</dc:subject>
    <dc:subject>01 natural sciences</dc:subject>
    <dc:subject>7. Clean energy</dc:subject>
    <dc:subject>6. Clean water</dc:subject>
    <dc:subject>Refuse Disposal</dc:subject>
    <dc:subject>12. Responsible consumption</dc:subject>
    <dc:subject>[SDV] Life Sciences [q-bio]</dc:subject>
    <dc:subject>High-solids anaerobic digestion model, ammonia inhibition, ionic strength, global sensitivity analysis, approximate bayesian computation</dc:subject>
    <dc:subject>Bioreactors</dc:subject>
    <dc:subject>global sensitivity analysis</dc:subject>
    <dc:subject>[SDE]Environmental Sciences</dc:subject>
    <dc:subject>Calibration</dc:subject>
    <dc:subject>High-solids anaerobic digestion model</dc:subject>
    <dc:subject>Anaerobiosis</dc:subject>
    <dc:subject>ionic strength</dc:subject>
    <dc:subject>Methane</dc:subject>
    <dc:subject>ammonia inhibition</dc:subject>
    <dc:subject>approximate bayesian computation</dc:subject>
    <dc:subject>0105 earth and related environmental sciences</dc:subject>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-7041-2962"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0003-0467-8081"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0001-7960-5253"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-9447-5968"/>
    <dc:creator>Renaud Escudi&#233;, Eric Trably, J&#233;r&#244;me Harmand, Jean-Philippe Steyer, Vicente Pastor-Poquet, Vicente Pastor-Poquet, Giovanni Esposito, Stefano Papirio, </dc:creator>
    <dc:date>2019-11-01</dc:date>
    <dc:type>journalpaper</dc:type>
    <dct:abstract>High-solids anaerobic digestion (HS-AD) of the organic fraction of municipal solid waste (OFMSW) is operated at a total solid (TS) content&#8239;&#8805;&#8239;10% to enhance the waste treatment economy, though it might be associated to free ammonia (NH3) inhibition. This study aimed to calibrate and cross-validate a HS-AD model for homogenized reactors in order to assess the effects of high NH3 levels in HS-AD of OFMSW, but also to evaluate the suitability of the reversible non-competitive inhibition function to reproduce the effect of NH3 on the main acetogenic and methanogenic populations. The practical identifiability of structural/biochemical parameters (i.e. 35) and initial conditions (i.e. 32) was evaluated using batch experiments at different TS and/or inoculum-to-substrate ratios. Variance-based global sensitivity analysis and approximate Bayesian computation were used for parameter optimization. The experimental data in this study permitted to estimate up to 8 biochemical parameters, whereas the rest of parameters and biomass contents were poorly identifiable. The study also showed the relatively high levels of NH3 (i.e. up to 2.3&#8239;g&#8239;N/L) and ionic strength (i.e. up to 0.9&#8239;M) when increasing TS in HS-AD of OFMSW. However, the NH3 non-competitive function was unable to capture the acetogenic/methanogenic inhibition. Therefore, the calibration emphasized the need for target-oriented experimental data to enhance the practical identifiability and the predictive capabilities of structured HS-AD models, but also the need for further testing the NH3 inhibition function used in these simulations.</dct:abstract>
    <dc:title>Assessing practical identifiability during calibration and cross-validation of a structured model for high-solids anaerobic digestion</dc:title>
    <dc:identifier>10.1016/j.watres.2019.114932</dc:identifier>
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