High-rate anaerobic digestion of yogurt wastewater in a hybrid EGSB and fixed-bed reactor: Optimizing through response surface methodology
Dairy production industry is one of the most polluting industries since it generates large volumes of high-strength wastewater. In this research, we studied the interactive effects of chemical oxygen demand (COD), hydraulic retention time (HRT), and COD/nitrogen ratio (COD/N) on the performance of a...
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Veröffentlicht in: | Process safety and environmental protection 2018-01, Vol.113, p.255-263 |
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description | Dairy production industry is one of the most polluting industries since it generates large volumes of high-strength wastewater. In this research, we studied the interactive effects of chemical oxygen demand (COD), hydraulic retention time (HRT), and COD/nitrogen ratio (COD/N) on the performance of a hybrid expanded granular sludge bed (EGSB) and fixed-bed (FB) bioreactor treating yogurt effluent was studied. For this purpose, response surface methodology (RSM) was applied to predict the behaviors of the system in term of COD removal and biogas production rate (BPR). RSM showed that the best models for COD removal and biogas production rate were the cubic and quadratic models, respectively. The optimum region of the hybrid EGSB-FB reactor was acquired at influent COD of 11,200mg/L, HRT of 27h, and COD/N ratio of 51. These variables resulted in a 90% COD removal efficiency and a 180mL/h BPR. COD/N ratio (relevant coefficient=4.37) and influent COD (relevant coefficient=29.99) resulted respectively as the most effective parameters on COD removal and BPR. |
doi_str_mv | 10.1016/j.psep.2017.10.012 |
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In this research, we studied the interactive effects of chemical oxygen demand (COD), hydraulic retention time (HRT), and COD/nitrogen ratio (COD/N) on the performance of a hybrid expanded granular sludge bed (EGSB) and fixed-bed (FB) bioreactor treating yogurt effluent was studied. For this purpose, response surface methodology (RSM) was applied to predict the behaviors of the system in term of COD removal and biogas production rate (BPR). RSM showed that the best models for COD removal and biogas production rate were the cubic and quadratic models, respectively. The optimum region of the hybrid EGSB-FB reactor was acquired at influent COD of 11,200mg/L, HRT of 27h, and COD/N ratio of 51. These variables resulted in a 90% COD removal efficiency and a 180mL/h BPR. COD/N ratio (relevant coefficient=4.37) and influent COD (relevant coefficient=29.99) resulted respectively as the most effective parameters on COD removal and BPR.</description><identifier>ISSN: 0957-5820</identifier><identifier>EISSN: 1744-3598</identifier><identifier>DOI: 10.1016/j.psep.2017.10.012</identifier><language>eng</language><publisher>Rugby: Elsevier Ltd</publisher><subject>Anaerobic digestion ; Biogas ; Biogas production ; Bioreactors ; Chemical oxygen demand ; COD removal ; Dairy industry ; Fixed bed reactors ; Hybrid EGSB-FB ; Hydraulic retention time ; Nitrogen ; Optimization ; Organic chemistry ; Reactors ; Response surface methodology ; Response surface methodology (RSM) ; Retention time ; Sludge ; Sludge bed ; Wastewater ; Wastewater treatment ; Yogurt ; Yogurt wastewater</subject><ispartof>Process safety and environmental protection, 2018-01, Vol.113, p.255-263</ispartof><rights>2017 Institution of Chemical Engineers</rights><rights>Copyright Elsevier Science Ltd. 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In this research, we studied the interactive effects of chemical oxygen demand (COD), hydraulic retention time (HRT), and COD/nitrogen ratio (COD/N) on the performance of a hybrid expanded granular sludge bed (EGSB) and fixed-bed (FB) bioreactor treating yogurt effluent was studied. For this purpose, response surface methodology (RSM) was applied to predict the behaviors of the system in term of COD removal and biogas production rate (BPR). RSM showed that the best models for COD removal and biogas production rate were the cubic and quadratic models, respectively. The optimum region of the hybrid EGSB-FB reactor was acquired at influent COD of 11,200mg/L, HRT of 27h, and COD/N ratio of 51. These variables resulted in a 90% COD removal efficiency and a 180mL/h BPR. COD/N ratio (relevant coefficient=4.37) and influent COD (relevant coefficient=29.99) resulted respectively as the most effective parameters on COD removal and BPR.</description><subject>Anaerobic digestion</subject><subject>Biogas</subject><subject>Biogas production</subject><subject>Bioreactors</subject><subject>Chemical oxygen demand</subject><subject>COD removal</subject><subject>Dairy industry</subject><subject>Fixed bed reactors</subject><subject>Hybrid EGSB-FB</subject><subject>Hydraulic retention time</subject><subject>Nitrogen</subject><subject>Optimization</subject><subject>Organic chemistry</subject><subject>Reactors</subject><subject>Response surface methodology</subject><subject>Response surface methodology (RSM)</subject><subject>Retention time</subject><subject>Sludge</subject><subject>Sludge bed</subject><subject>Wastewater</subject><subject>Wastewater treatment</subject><subject>Yogurt</subject><subject>Yogurt wastewater</subject><issn>0957-5820</issn><issn>1744-3598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kM1O3DAUha2qSJ3SvkBXllhnsB3HThCbFvEnIbEorC3Hvk48YuJgO8DwCH3qejSsWV3p3O_cn4PQL0rWlFBxulnPCeY1I1QWYU0o-4JWVHJe1U3XfkUr0jWyalpGvqHvKW0IKYikK_Tvxg9jFXUGrCcNMfTeYOsHSNmHCQeHd2FYYsavOmV4LVzEfsIaj7s-eosvr__-KU6LnX8DW_VgcQRtcohn-H7Ofuvf_TTgPMawDGPppTlMCXBaotMG8BbyGGx4CsPuBzpy-inBz496jB6vLh8ubqq7--vbi993lalFkytOZG1539LWCGOdM0SKlmvaaGM60eqO9bQ8KnnjXNdaabljTLQ950L0AmR9jE4Oc-cYnpfyqNqEJU5lpWJECEbqmrFCsQNlYkgpglNz9Fsdd4oStc9cbdQ-c7XPfK-VQIvp_GCCcv-Lh6iS8TAZsD6CycoG_5n9P7knjKc</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Mortezaei, Y.</creator><creator>Amani, T.</creator><creator>Elyasi, Sh</creator><creator>Akhlaghian, F.</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TB</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope></search><sort><creationdate>201801</creationdate><title>High-rate anaerobic digestion of yogurt wastewater in a hybrid EGSB and fixed-bed reactor: Optimizing through response surface methodology</title><author>Mortezaei, Y. ; Amani, T. ; Elyasi, Sh ; Akhlaghian, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-4073d4b818c6cdffc07684a15acc968a92b1582745ff98d7d4f2268b4466b6e73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Anaerobic digestion</topic><topic>Biogas</topic><topic>Biogas production</topic><topic>Bioreactors</topic><topic>Chemical oxygen demand</topic><topic>COD removal</topic><topic>Dairy industry</topic><topic>Fixed bed reactors</topic><topic>Hybrid EGSB-FB</topic><topic>Hydraulic retention time</topic><topic>Nitrogen</topic><topic>Optimization</topic><topic>Organic chemistry</topic><topic>Reactors</topic><topic>Response surface methodology</topic><topic>Response surface methodology (RSM)</topic><topic>Retention time</topic><topic>Sludge</topic><topic>Sludge bed</topic><topic>Wastewater</topic><topic>Wastewater treatment</topic><topic>Yogurt</topic><topic>Yogurt wastewater</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mortezaei, Y.</creatorcontrib><creatorcontrib>Amani, T.</creatorcontrib><creatorcontrib>Elyasi, Sh</creatorcontrib><creatorcontrib>Akhlaghian, F.</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Process safety and environmental protection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mortezaei, Y.</au><au>Amani, T.</au><au>Elyasi, Sh</au><au>Akhlaghian, F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-rate anaerobic digestion of yogurt wastewater in a hybrid EGSB and fixed-bed reactor: Optimizing through response surface methodology</atitle><jtitle>Process safety and environmental protection</jtitle><date>2018-01</date><risdate>2018</risdate><volume>113</volume><spage>255</spage><epage>263</epage><pages>255-263</pages><issn>0957-5820</issn><eissn>1744-3598</eissn><abstract>Dairy production industry is one of the most polluting industries since it generates large volumes of high-strength wastewater. In this research, we studied the interactive effects of chemical oxygen demand (COD), hydraulic retention time (HRT), and COD/nitrogen ratio (COD/N) on the performance of a hybrid expanded granular sludge bed (EGSB) and fixed-bed (FB) bioreactor treating yogurt effluent was studied. For this purpose, response surface methodology (RSM) was applied to predict the behaviors of the system in term of COD removal and biogas production rate (BPR). RSM showed that the best models for COD removal and biogas production rate were the cubic and quadratic models, respectively. The optimum region of the hybrid EGSB-FB reactor was acquired at influent COD of 11,200mg/L, HRT of 27h, and COD/N ratio of 51. These variables resulted in a 90% COD removal efficiency and a 180mL/h BPR. 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subjects | Anaerobic digestion Biogas Biogas production Bioreactors Chemical oxygen demand COD removal Dairy industry Fixed bed reactors Hybrid EGSB-FB Hydraulic retention time Nitrogen Optimization Organic chemistry Reactors Response surface methodology Response surface methodology (RSM) Retention time Sludge Sludge bed Wastewater Wastewater treatment Yogurt Yogurt wastewater |
title | High-rate anaerobic digestion of yogurt wastewater in a hybrid EGSB and fixed-bed reactor: Optimizing through response surface methodology |
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