ADM1 calibration using BMP tests for modeling the effect of autohydrolysis pretreatment on the performance of continuous sludge digesters

Improving anaerobic digestion of sewage sludge through pretreatment techniques is a suitable solution for better sludge management. In this sense, modeling may present itself as an important tool to assess and predict process performance and pretreatment effects. In this study, the feasibility of us...

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Veröffentlicht in:Water research (Oxford) 2013-06, Vol.47 (9), p.3244-3254
Hauptverfasser: Souza, Theo S.O., Carvajal, Andrea, Donoso-Bravo, Andres, Peña, Mar, Fdz-Polanco, Fernando
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container_issue 9
container_start_page 3244
container_title Water research (Oxford)
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creator Souza, Theo S.O.
Carvajal, Andrea
Donoso-Bravo, Andres
Peña, Mar
Fdz-Polanco, Fernando
description Improving anaerobic digestion of sewage sludge through pretreatment techniques is a suitable solution for better sludge management. In this sense, modeling may present itself as an important tool to assess and predict process performance and pretreatment effects. In this study, the feasibility of using biochemical methane potential (BMP) tests data for calibrating the Anaerobic Digestion Model No. 1 (ADM1) was evaluated, in order to simulate the operation of continuous digesters fed, at different HRTs, with raw and autohydrolysis-pretreated waste activated sludge. This was achieved using a simplified COD fractioning methodology proposed to define ADM1 inputs. Hydrolysis constant rates were determined as the most sensitive parameters, and estimated using BMP tests. The calibrated model was then cross-validated with continuous digesters data sets. Good model performance was attained employing these techniques. The ADM1 was able to successfully represent the consumption of slowly biodegradable organic matter in BMP tests, the changes in hydrolytic limiting steps due to the autohydrolysis pretreatment and the behavior of the continuous digesters in overall. The COD fractioning methodology and the Xc variable manipulation proposed seemed to be crucial for proper model predictions. Results indicate that BMP tests are a suitable data source for ADM1 calibration, and that the model can be a powerful tool to assess the effect of the autohydrolysis pretreatment on the anaerobic digestion of sewage waste activated sludge. [Display omitted] •A novel sludge pretreatment technique was assessed using a modeling approach.•The feasibility of using BMP tests to calibrate the ADM1 was evaluated.•Changes in hydrolytic limiting steps were well represented by the model.•Good model performance was attained and pretreatment effects correctly predicted.•Combining BMP tests with the ADM1 proved to be a powerful tool in this study.
doi_str_mv 10.1016/j.watres.2013.03.041
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Psychology ; Hydrolysis ; Industrial applications and implications. Economical aspects ; Kinetics ; methane ; Methane - metabolism ; model validation ; Modeling ; Models, Theoretical ; organic matter ; Other industrial wastes. Sewage sludge ; Pollution ; prediction ; Pretreatment ; sewage ; Sewage - chemistry ; sewage sludge ; Sludge ; Waste Products - analysis ; Wastes</subject><ispartof>Water research (Oxford), 2013-06, Vol.47 (9), p.3244-3254</ispartof><rights>2013 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Ltd. 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In this sense, modeling may present itself as an important tool to assess and predict process performance and pretreatment effects. In this study, the feasibility of using biochemical methane potential (BMP) tests data for calibrating the Anaerobic Digestion Model No. 1 (ADM1) was evaluated, in order to simulate the operation of continuous digesters fed, at different HRTs, with raw and autohydrolysis-pretreated waste activated sludge. This was achieved using a simplified COD fractioning methodology proposed to define ADM1 inputs. Hydrolysis constant rates were determined as the most sensitive parameters, and estimated using BMP tests. The calibrated model was then cross-validated with continuous digesters data sets. Good model performance was attained employing these techniques. The ADM1 was able to successfully represent the consumption of slowly biodegradable organic matter in BMP tests, the changes in hydrolytic limiting steps due to the autohydrolysis pretreatment and the behavior of the continuous digesters in overall. The COD fractioning methodology and the Xc variable manipulation proposed seemed to be crucial for proper model predictions. Results indicate that BMP tests are a suitable data source for ADM1 calibration, and that the model can be a powerful tool to assess the effect of the autohydrolysis pretreatment on the anaerobic digestion of sewage waste activated sludge. [Display omitted] •A novel sludge pretreatment technique was assessed using a modeling approach.•The feasibility of using BMP tests to calibrate the ADM1 was evaluated.•Changes in hydrolytic limiting steps were well represented by the model.•Good model performance was attained and pretreatment effects correctly predicted.•Combining BMP tests with the ADM1 proved to be a powerful tool in this study.</description><subject>activated sludge</subject><subject>ADM1</subject><subject>Anaerobic digestion</subject><subject>Anaerobiosis</subject><subject>Applied sciences</subject><subject>Biodegradation, Environmental</subject><subject>Biological and medical sciences</subject><subject>Biological Oxygen Demand Analysis</subject><subject>Biological treatment of sewage sludges and wastes</subject><subject>Bioreactors</subject><subject>Biotechnology</subject><subject>Calibration</subject><subject>chemical oxygen demand</subject><subject>Chemical Sciences</subject><subject>Computer Simulation</subject><subject>data collection</subject><subject>Engineering Sciences</subject><subject>Environment and pollution</subject><subject>Environmental Restoration and Remediation - instrumentation</subject><subject>Environmental Restoration and Remediation - methods</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Hydrolysis</subject><subject>Industrial applications and implications. Economical aspects</subject><subject>Kinetics</subject><subject>methane</subject><subject>Methane - metabolism</subject><subject>model validation</subject><subject>Modeling</subject><subject>Models, Theoretical</subject><subject>organic matter</subject><subject>Other industrial wastes. Sewage sludge</subject><subject>Pollution</subject><subject>prediction</subject><subject>Pretreatment</subject><subject>sewage</subject><subject>Sewage - chemistry</subject><subject>sewage sludge</subject><subject>Sludge</subject><subject>Waste Products - analysis</subject><subject>Wastes</subject><issn>0043-1354</issn><issn>1879-2448</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kd2K1DAUgIMo7rj6BqK5EfSi40nSn_RGGNefFWZR0L0OmfRkJkPbjEm7Ms_gS_gsPpnpdlzvhEDg5Ds_OR8hTxksGbDy9X75Qw8B45IDE0tIJ2f3yILJqs54nsv7ZAGQi4yJIj8jj2LcAwDnon5IzrgoJC_LakF-rt5dMWp06zZBD873dIyu39K3V1_ogHGI1PpAO99gO4WHHVK0Fs1Avf39S4-D3x2b4NtjdJEeAqaJ9NBhn977W_qAIVXodG_wNsX4fnD96MdIYzs2W6SN26ZGGOJj8sDqNuKT031Orj-8_3Zxma0_f_x0sVpnRkgYMlvxDTBe2IZzI43NgZcWG5B1oTnWuGEoKqjBahS2ElBK0MyURpZCy4aV4py8muvudKsOwXU6HJXXTl2u1mqKAQNZgqhvWGJfzuwh-O9jmlN1LhpsW91j-oNiQkhR17yY0HxGTfAxBrR3tRmoSZnaq1mZmpQpSCef0p6dOoybDpu7pL-OEvDiBOiYRNmQduniPy59UQArEvd85qz2Sm9DYq6_pk5F8g51UeWJeDMTmLZ74zCoaBwmM40LSalqvPv_rH8AL0DC6Q</recordid><startdate>20130601</startdate><enddate>20130601</enddate><creator>Souza, Theo S.O.</creator><creator>Carvajal, Andrea</creator><creator>Donoso-Bravo, Andres</creator><creator>Peña, Mar</creator><creator>Fdz-Polanco, Fernando</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>IWA Publishing/Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope></search><sort><creationdate>20130601</creationdate><title>ADM1 calibration using BMP tests for modeling the effect of autohydrolysis pretreatment on the performance of continuous sludge digesters</title><author>Souza, Theo S.O. ; Carvajal, Andrea ; Donoso-Bravo, Andres ; Peña, Mar ; Fdz-Polanco, Fernando</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-f72b0125fd22c8cf4026fed0895a2e9eb1e37090fae3f730680a1c6c863a8d163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>activated sludge</topic><topic>ADM1</topic><topic>Anaerobic digestion</topic><topic>Anaerobiosis</topic><topic>Applied sciences</topic><topic>Biodegradation, Environmental</topic><topic>Biological and medical sciences</topic><topic>Biological Oxygen Demand Analysis</topic><topic>Biological treatment of sewage sludges and wastes</topic><topic>Bioreactors</topic><topic>Biotechnology</topic><topic>Calibration</topic><topic>chemical oxygen demand</topic><topic>Chemical Sciences</topic><topic>Computer Simulation</topic><topic>data collection</topic><topic>Engineering Sciences</topic><topic>Environment and pollution</topic><topic>Environmental Restoration and Remediation - instrumentation</topic><topic>Environmental Restoration and Remediation - methods</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Hydrolysis</topic><topic>Industrial applications and implications. Economical aspects</topic><topic>Kinetics</topic><topic>methane</topic><topic>Methane - metabolism</topic><topic>model validation</topic><topic>Modeling</topic><topic>Models, Theoretical</topic><topic>organic matter</topic><topic>Other industrial wastes. Sewage sludge</topic><topic>Pollution</topic><topic>prediction</topic><topic>Pretreatment</topic><topic>sewage</topic><topic>Sewage - chemistry</topic><topic>sewage sludge</topic><topic>Sludge</topic><topic>Waste Products - analysis</topic><topic>Wastes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Souza, Theo S.O.</creatorcontrib><creatorcontrib>Carvajal, Andrea</creatorcontrib><creatorcontrib>Donoso-Bravo, Andres</creatorcontrib><creatorcontrib>Peña, Mar</creatorcontrib><creatorcontrib>Fdz-Polanco, Fernando</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Water research (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Souza, Theo S.O.</au><au>Carvajal, Andrea</au><au>Donoso-Bravo, Andres</au><au>Peña, Mar</au><au>Fdz-Polanco, Fernando</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ADM1 calibration using BMP tests for modeling the effect of autohydrolysis pretreatment on the performance of continuous sludge digesters</atitle><jtitle>Water research (Oxford)</jtitle><addtitle>Water Res</addtitle><date>2013-06-01</date><risdate>2013</risdate><volume>47</volume><issue>9</issue><spage>3244</spage><epage>3254</epage><pages>3244-3254</pages><issn>0043-1354</issn><eissn>1879-2448</eissn><coden>WATRAG</coden><abstract>Improving anaerobic digestion of sewage sludge through pretreatment techniques is a suitable solution for better sludge management. In this sense, modeling may present itself as an important tool to assess and predict process performance and pretreatment effects. In this study, the feasibility of using biochemical methane potential (BMP) tests data for calibrating the Anaerobic Digestion Model No. 1 (ADM1) was evaluated, in order to simulate the operation of continuous digesters fed, at different HRTs, with raw and autohydrolysis-pretreated waste activated sludge. This was achieved using a simplified COD fractioning methodology proposed to define ADM1 inputs. Hydrolysis constant rates were determined as the most sensitive parameters, and estimated using BMP tests. The calibrated model was then cross-validated with continuous digesters data sets. Good model performance was attained employing these techniques. The ADM1 was able to successfully represent the consumption of slowly biodegradable organic matter in BMP tests, the changes in hydrolytic limiting steps due to the autohydrolysis pretreatment and the behavior of the continuous digesters in overall. The COD fractioning methodology and the Xc variable manipulation proposed seemed to be crucial for proper model predictions. Results indicate that BMP tests are a suitable data source for ADM1 calibration, and that the model can be a powerful tool to assess the effect of the autohydrolysis pretreatment on the anaerobic digestion of sewage waste activated sludge. [Display omitted] •A novel sludge pretreatment technique was assessed using a modeling approach.•The feasibility of using BMP tests to calibrate the ADM1 was evaluated.•Changes in hydrolytic limiting steps were well represented by the model.•Good model performance was attained and pretreatment effects correctly predicted.•Combining BMP tests with the ADM1 proved to be a powerful tool in this study.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>23582667</pmid><doi>10.1016/j.watres.2013.03.041</doi><tpages>11</tpages></addata></record>
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subjects activated sludge
ADM1
Anaerobic digestion
Anaerobiosis
Applied sciences
Biodegradation, Environmental
Biological and medical sciences
Biological Oxygen Demand Analysis
Biological treatment of sewage sludges and wastes
Bioreactors
Biotechnology
Calibration
chemical oxygen demand
Chemical Sciences
Computer Simulation
data collection
Engineering Sciences
Environment and pollution
Environmental Restoration and Remediation - instrumentation
Environmental Restoration and Remediation - methods
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Hydrolysis
Industrial applications and implications. Economical aspects
Kinetics
methane
Methane - metabolism
model validation
Modeling
Models, Theoretical
organic matter
Other industrial wastes. Sewage sludge
Pollution
prediction
Pretreatment
sewage
Sewage - chemistry
sewage sludge
Sludge
Waste Products - analysis
Wastes
title ADM1 calibration using BMP tests for modeling the effect of autohydrolysis pretreatment on the performance of continuous sludge digesters
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