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Modelling anaerobic...
Modelling anaerobic co-digestion in Benchmark Simulation Model No. 2 : Parameter estimation, substrate characterisation and plant-wide integration
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- Arnell, Magnus (author)
- RISE,Lund University,Lunds universitet,Industriell elektroteknik och automation,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Industrial Electrical Engineering and Automation,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,SP Swedish National Testing and Research Institute,Lund University, Sweden,Urban Water Management
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- Astals, Sergi (author)
- University of Queensland, Australia
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- Åmand, Linda (author)
- IVL Svenska Miljöinstitutet
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- Batstone, Damien J. (author)
- University of Queensland, Australia
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- Jensen, Paul D. (author)
- University of Queensland, Australia
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- Jeppsson, Ulf (author)
- Lund University,Lunds universitet,Industriell elektroteknik och automation,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Industrial Electrical Engineering and Automation,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,Lund University, Sweden
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(creator_code:org_t)
- Elsevier BV, 2016
- 2016
- English 9 s.
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In: Water Research. - : Elsevier BV. - 0043-1354 .- 1879-2448. ; 98, s. 138-146
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Abstract
Subject headings
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- Anaerobic co-digestion is an emerging practice at wastewater treatment plants (WWTPs) to improve the energy balance and integrate waste management. Modelling of co-digestion in a plant-wide WWTP model is a powerful tool to assess the impact of co-substrate selection and dose strategy on digester performance and plant-wide effects. A feasible procedure to characterise and fractionate co-substrates COD for the Benchmark Simulation Model No. 2 (BSM2) was developed. This procedure is also applicable for the Anaerobic Digestion Model No. 1 (ADM1). Long chain fatty acid inhibition was included in the ADM1 model to allow for realistic modelling of lipid rich co-substrates. Sensitivity analysis revealed that, apart from the biodegradable fraction of COD, protein and lipid fractions are the most important fractions for methane production and digester stability, with at least two major failure modes identified through principal component analysis (PCA). The model and procedure were tested on bio-methane potential (BMP) tests on three substrates, each rich on carbohydrates, proteins or lipids with good predictive capability in all three cases. This model was then applied to a plant-wide simulation study which confirmed the positive effects of co-digestion on methane production and total operational cost. Simulations also revealed the importance of limiting the protein load to the anaerobic digester to avoid ammonia inhibition in the digester and overloading of the nitrogen removal processes in the water train. In contrast, the digester can treat relatively high loads of lipid rich substrates without prolonged disturbances.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Vattenteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Water Engineering (hsv//eng)
Keyword
- ADM1
- Anaerobic digestion
- Codigestion
- LCFA inhibition
- Mathematical modelling
- Waste characterisation
- Mathematical modelling
Publication and Content Type
- art (subject category)
- ref (subject category)
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