Binary and ternary trace elements to enhance anaerobic digestion of cattle manure: Focusing on kinetic models for biogas production and digestate utilization

[Display omitted] •Introduction of binary and ternary TEs can improve biogas yield by 66.52–76.32%.•Three kinetic models (FOM, LM, and MGM) are employed to predict biogas yield.•Predicted data (0.32–5.3%) of LM and MGM are closer to measured data than FOM.•Coats-Redfern fitting proves TEs reduce act...

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Veröffentlicht in:Bioresource technology 2021-03, Vol.323, p.124571-124571, Article 124571
Hauptverfasser: Wang, Kaijun, Yun, Sining, Xing, Tian, Li, Bingjie, Abbas, Yasir, Liu, Xinming
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container_end_page 124571
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container_start_page 124571
container_title Bioresource technology
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creator Wang, Kaijun
Yun, Sining
Xing, Tian
Li, Bingjie
Abbas, Yasir
Liu, Xinming
description [Display omitted] •Introduction of binary and ternary TEs can improve biogas yield by 66.52–76.32%.•Three kinetic models (FOM, LM, and MGM) are employed to predict biogas yield.•Predicted data (0.32–5.3%) of LM and MGM are closer to measured data than FOM.•Coats-Redfern fitting proves TEs reduce activation energy of digestate (3.9–26.2%).•The selected kinetic models fit well with the experimental data (R2 > 0.98). The effects of binary and ternary trace elements (TEs) (Fe/Co, Fe/Ni, and Fe/Co/Ni) on the anaerobic digestion (AD) of cattle manure were investigated using kinetic models (first-order, logistic, modified Gompertz, and Coats-Redfern) and experimental measurements. Binary and ternary TEs can significantly improve the biogas production rate and yield potential. The deviation between the predicted and measured data for biogas yield with logistic model (2.1%–5.3%) and modified Gompertz model (0.32%–2.9%) was smaller than that with first-order kinetic model (6.9%–9.9%). The Coats-Redfern model fitting indicated that the activation energy of digestates with trace elements during pyrolysis was reduced by 3.9%–26.2% compared with the control group. Meanwhile, digestates with TEs showed remarkable fertility (5.72%–5.95%). The combination of kinetic models and experimental measurements can effectively quantify the effect of TEs on AD performance and provide an informed choice for industrial production.
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The effects of binary and ternary trace elements (TEs) (Fe/Co, Fe/Ni, and Fe/Co/Ni) on the anaerobic digestion (AD) of cattle manure were investigated using kinetic models (first-order, logistic, modified Gompertz, and Coats-Redfern) and experimental measurements. Binary and ternary TEs can significantly improve the biogas production rate and yield potential. The deviation between the predicted and measured data for biogas yield with logistic model (2.1%–5.3%) and modified Gompertz model (0.32%–2.9%) was smaller than that with first-order kinetic model (6.9%–9.9%). The Coats-Redfern model fitting indicated that the activation energy of digestates with trace elements during pyrolysis was reduced by 3.9%–26.2% compared with the control group. Meanwhile, digestates with TEs showed remarkable fertility (5.72%–5.95%). 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The effects of binary and ternary trace elements (TEs) (Fe/Co, Fe/Ni, and Fe/Co/Ni) on the anaerobic digestion (AD) of cattle manure were investigated using kinetic models (first-order, logistic, modified Gompertz, and Coats-Redfern) and experimental measurements. Binary and ternary TEs can significantly improve the biogas production rate and yield potential. The deviation between the predicted and measured data for biogas yield with logistic model (2.1%–5.3%) and modified Gompertz model (0.32%–2.9%) was smaller than that with first-order kinetic model (6.9%–9.9%). The Coats-Redfern model fitting indicated that the activation energy of digestates with trace elements during pyrolysis was reduced by 3.9%–26.2% compared with the control group. Meanwhile, digestates with TEs showed remarkable fertility (5.72%–5.95%). The combination of kinetic models and experimental measurements can effectively quantify the effect of TEs on AD performance and provide an informed choice for industrial production.</description><subject>Anaerobic digestion</subject><subject>Anaerobiosis</subject><subject>Animals</subject><subject>Biofuels</subject><subject>Bioreactors</subject><subject>Cattle</subject><subject>Fertility</subject><subject>Kinetic model</subject><subject>Manure</subject><subject>Methane</subject><subject>Thermal analysis</subject><subject>Trace Elements</subject><issn>0960-8524</issn><issn>1873-2976</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUctOHDEQtKJEYSH5BeRjLrPY43l4ciJBgURCyiU5Wz12e_FmxgbbgwT_wr_Gy0CuObndXV3VqiLklLMtZ7w7229HF2JGfbOtWV2addP2_A3ZcNmLqh767i3ZsKFjlWzr5ogcp7RnjAne1-_JkRBCynYYNuTpq_MQHyh4QzPG5zpH0Ehxwhl9TjQHiv4GfOmBB4xhdJoat8OUXfA0WKoh5wnpDH6J-JleBr0k53e0TP84j7ng52BwStSGSMvhO0j0Ngaz6GeKg_hKCBnpkt3kHuEw-UDeWZgSfnx5T8jvy2-_Lr5X1z-vflx8ua606GSu-poZkFY2QpoWpQWwMIBAXv620y0ya4sV44hSg-lZLxm3mo1NJxpoxk6ckE8rbznqbil3qNkljdMEHsOSVN30LZOStaxAuxWqY0gpolW30c3FNsWZOkSj9uo1GnWIRq3RlMXTF41lnNH8W3vNogDOV0AxCu8dRpW0w2K7cRF1Via4_2n8BVFvp9Y</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Wang, Kaijun</creator><creator>Yun, Sining</creator><creator>Xing, Tian</creator><creator>Li, Bingjie</creator><creator>Abbas, Yasir</creator><creator>Liu, Xinming</creator><general>Elsevier Ltd</general><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></search><sort><creationdate>202103</creationdate><title>Binary and ternary trace elements to enhance anaerobic digestion of cattle manure: Focusing on kinetic models for biogas production and digestate utilization</title><author>Wang, Kaijun ; Yun, Sining ; Xing, Tian ; Li, Bingjie ; Abbas, Yasir ; Liu, Xinming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-720da8f8438d5e8faafa9a3e138df6c5e0ff960bbe8cad707801fc0b4634a4b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Anaerobic digestion</topic><topic>Anaerobiosis</topic><topic>Animals</topic><topic>Biofuels</topic><topic>Bioreactors</topic><topic>Cattle</topic><topic>Fertility</topic><topic>Kinetic model</topic><topic>Manure</topic><topic>Methane</topic><topic>Thermal analysis</topic><topic>Trace Elements</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Kaijun</creatorcontrib><creatorcontrib>Yun, Sining</creatorcontrib><creatorcontrib>Xing, Tian</creatorcontrib><creatorcontrib>Li, Bingjie</creatorcontrib><creatorcontrib>Abbas, Yasir</creatorcontrib><creatorcontrib>Liu, Xinming</creatorcontrib><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><jtitle>Bioresource technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Kaijun</au><au>Yun, Sining</au><au>Xing, Tian</au><au>Li, Bingjie</au><au>Abbas, Yasir</au><au>Liu, Xinming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Binary and ternary trace elements to enhance anaerobic digestion of cattle manure: Focusing on kinetic models for biogas production and digestate utilization</atitle><jtitle>Bioresource technology</jtitle><addtitle>Bioresour Technol</addtitle><date>2021-03</date><risdate>2021</risdate><volume>323</volume><spage>124571</spage><epage>124571</epage><pages>124571-124571</pages><artnum>124571</artnum><issn>0960-8524</issn><eissn>1873-2976</eissn><abstract>[Display omitted] •Introduction of binary and ternary TEs can improve biogas yield by 66.52–76.32%.•Three kinetic models (FOM, LM, and MGM) are employed to predict biogas yield.•Predicted data (0.32–5.3%) of LM and MGM are closer to measured data than FOM.•Coats-Redfern fitting proves TEs reduce activation energy of digestate (3.9–26.2%).•The selected kinetic models fit well with the experimental data (R2 &gt; 0.98). 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subjects Anaerobic digestion
Anaerobiosis
Animals
Biofuels
Bioreactors
Cattle
Fertility
Kinetic model
Manure
Methane
Thermal analysis
Trace Elements
title Binary and ternary trace elements to enhance anaerobic digestion of cattle manure: Focusing on kinetic models for biogas production and digestate utilization
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