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Author Pabon-Pereira, C.P.; Hamelers, H.V.M.; Matilla, I.; van Lier, J.B. doi  openurl
  Title New Insights on the Estimation of the Anaerobic Biodegradability of Plant Material: Identifying Valuable Plants for Sustainable Energy Production Type Journal Article
  Year 2020 Publication Processes Abbreviated Journal Processes  
  Volume 8 Issue 7 Pages 23 pp  
  Keywords anaerobic digestion; biodegradability; lignocellulosics; fiber degradation  
  Abstract Based on fifteen European plant species, a statistical model for the estimation of the anaerobic biodegradability of plant material was developed. We show that this new approach represents an accurate and cost-effective method to identify valuable energy plants for sustainable energy production. In particular, anaerobic biodegradability (B-o) of lignocellulosic material was empirically found to be related to the amount of cellulose plus lignin, as analytically assessed by the van Soest method, i.e., the acid detergent fiber (ADF) value. Apart from being theoretically meaningful, the ADF-based empirical model requires the least effort compared to the other four proposed conceptual models proposed, as individual fractions of cellulose, hemicellulose, and lignin do not need to be assessed, which also enhances the predictive accuracy of the model's estimation. The model's results showed great predictability power, allowing us to identify interesting crops for sustainable crop rotations. Finally, the model was used to predictB(o)of 114 European plant samples that had been previously characterized by means of the van Soest method.  
  Address [Pabon-Pereira, Claudia P.] Univ Adolfo Ibanez, Fac Engn & Sci, Diagonal Las Torres 2700, Penalolen 2700, Santiago De Chi, Chile, Email: claudia.pabon@uai.cl;  
  Corporate Author Thesis  
  Publisher Mdpi Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000556716400001 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 1217  
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Author Crutchik, D.; Franchi, O.; Caminos, L.; Jeison, D.; Belmonte, M.; Pedrouso, A.; Val del Rio, A.; Mosquera-Corral, A.; Campos, J.L. doi  openurl
  Title Polyhydroxyalkanoates (PHAs) Production: A Feasible Economic Option for the Treatment of Sewage Sludge in Municipal Wastewater Treatment Plants? Type Journal Article
  Year 2020 Publication Water Abbreviated Journal Water  
  Volume 12 Issue 4 Pages 12 pp  
  Keywords anaerobic digestion; bioplastics; economic analysis; methane; resource recovery; sewage sludge; WWTP size  
  Abstract Sludge is a by-product of municipal wastewater treatment plants (WWTPs) and its management contributes significantly to the operating costs. Large WWTPs usually have anaerobic sludge digesters to valorize sludge as methane and to reduce its mass. However, the low methane market price opens the possibility for generating other high value-added products from the organic matter in sludge, such as polyhydroxyalkanoates (PHAs). In this work, the economic feasibility of retrofitting two types of WWTPs to convert them into biofactories of crude PHAs was studied. Two cases were analyzed: (a) a large WWTP with anaerobic sludge digestion; and (b) a small WWTP where sludge is only dewatered. In a two-stage PHA-production system (biomass enrichment plus PHAs accumulation), the minimum PHAs cost would be 1.26 and 2.26 US$/kg PHA-crude for the large and small WWTPs, respectively. In a single-stage process, where a fraction of the secondary sludge (25%) is directly used to accumulate PHAs, the production costs would decrease by around 15.9% (small WWTPs) and 19.0% (large WWTPs), since capital costs associated with bioreactors decrease. Sensitivity analysis showed that the PHA/COD (Chemical Oxygen Demand) yield is the most crucial parameter affecting the production costs. The energy, methane, and sludge management prices also have an essential effect on the production costs, and their effect depends on the WWTP's size.  
  Address [Crutchik, Dafne; Franchi, Oscar; Caminos, Luis; Luis Campos, Jose] Univ Adolfo Ibanez, Fac Engn & Sci, Ave Padre Hurtado 750, Vina Del Mar 2520000, Chile, Email: dafne.crutchik@uai.cl;  
  Corporate Author Thesis  
  Publisher Mdpi Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000539527500195 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 1189  
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Author Argiz, L.; Reyes, C.; Belmonte, M.; Franchi, O.; Campo, R.; Fra-Vazquez, A.; del Rio, A.V.; Mosquera-Corral, A.; Campos, J.L. doi  openurl
  Title Assessment of a fast method to predict the biochemical methane potential based on biodegradable COD obtained by fractionation respirometric tests Type Journal Article
  Year 2020 Publication Journal Of Environmental Management Abbreviated Journal J. Environ. Manage.  
  Volume 269 Issue Pages 9 pp  
  Keywords Anaerobic digestion; Biodegradability; BMP; COD fractionation; Respirometric test  
  Abstract The biochemical methane potential test (BMP) is the most common analytical technique to predict the performance of anaerobic digesters. However, this assay is time-consuming (from 20 to over than 100 days) and consequently impractical when it is necessary to obtain a quick result. Several methods are available for faster BMP prediction but, unfortunately, there is still a lack of a clear alternative. Current aerobic tests underestimate the BMP of substrates since they only detect the easily biodegradable COD. In this context, the potential of COD fractionation respirometric assays, which allow the determination of the particulate slowly biodegradable fraction, was evaluated here as an alternative to early predict the BMP of substrates. Seven different origin waste streams were tested and the anaerobically biodegraded organic matter (CODmet) was compared with the different COD fractions. When considering adapted microorganisms, the appropriate operational conditions and the required biodegradation time, the differences between the CODmet, determined through BMP tests, and the biodegradable COD (CODb) obtained by respirometry, were not significant (CODmet (57.8026 +/- 21.2875) and CODb (55.6491 +/- 21.3417), t (5) = 0.189, p = 0.853). Therefore, results suggest that the BMP of a substrate might be early predicted from its CODb in only few hours. This methodology was validated by the performance of an inter-laboratory studyconsidering four additional substrates.  
  Address [Argiz, L.; Fra-Vazquez, A.; Val del Rio, A.; Mosquera-Corral, A.] Univ Santiago de Compostela, CRETUS Inst, Santiago De Compostela 15782, Galicia, Spain, Email: luciaargiz.montes@usc.es  
  Corporate Author Thesis  
  Publisher Academic Press Ltd- Elsevier Science Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0301-4797 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000541757200008 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 1185  
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Author Alejo, L.; Atkinson, J.; Guzman-Fierro, V.; Roeckel, M. pdf  doi
openurl 
  Title Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques Type Journal Article
  Year 2018 Publication Environmental Science And Pollution Research Abbreviated Journal Environ. Sci. Pollut. Res.  
  Volume 25 Issue 21 Pages 21149-21163  
  Keywords Anaerobic digestion; Protein degradation; Machine learning; Prediction methods; Support vector machines  
  Abstract Computational self-adapting methods (Support Vector Machines, SVM) are compared with an analytical method in effluent composition prediction of a two-stage anaerobic digestion (AD) process. Experimental data for the AD of poultry manure were used. The analytical method considers the protein as the only source of ammonia production in AD after degradation. Total ammonia nitrogen (TAN), total solids (TS), chemical oxygen demand (COD), and total volatile solids (TVS) were measured in the influent and effluent of the process. The TAN concentration in the effluent was predicted, this being the most inhibiting and polluting compound in AD. Despite the limited data available, the SVM-based model outperformed the analytical method for the TAN prediction, achieving a relative average error of 15.2% against 43% for the analytical method. Moreover, SVM showed higher prediction accuracy in comparison with Artificial Neural Networks. This result reveals the future promise of SVM for prediction in non-linear and dynamic AD processes.  
  Address [Alejo, Luz; Guzman-Fierro, Victor; Roeckel, Marlene] Univ Concepcion, Dept Ingn Quim, Victor Lamas 1290,Casilla 160-C Correo 3., Concepcion, Chile, Email: john.atkinson@uai.cl;  
  Corporate Author Thesis  
  Publisher Springer Heidelberg Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0944-1344 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000438830900080 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 890  
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Author Da Silva, C.; Astals, S.; Peces, M.; Campos, J.L.; Guerrero, L. pdf  doi
openurl 
  Title Biochemical methane potential (BMP) tests: Reducing test time by early parameter estimation Type Journal Article
  Year 2018 Publication Waste Management Abbreviated Journal Waste Manage.  
  Volume 71 Issue Pages 19-24  
  Keywords Anaerobic digestion; Batch test; Biomethane potential; Kinetics; Modelling; Sensitivity functions  
  Abstract Biochemical methane potential (BMP) test is a key analytical technique to assess the implementation and optimisation of anaerobic biotechnologies. However, this technique is characterised by long testing times (from 20 to > 100 days), which is not suitable for waste utilities, consulting companies or plants operators whose decision-making processes cannot be held for such a long time. This study develops a statistically robust mathematical strategy using sensitivity functions for early prediction of BMP first-order model parameters, i.e. methane yield (B-0) and kinetic constant rate (k). The minimum testing time for early parameter estimation showed a potential correlation with the k value, where (i) slowly biodegradable substrates (k <= 0.1 d(-1)) have a minimum testing times of >= 15 days, (ii) moderately biodegradable substrates (0.1 < k < 0.2 d(-1)) have a minimum testing times between 8 and 15 days, and (iii) rapidly biodegradable substrates (k > 0.2 d(-1)) have testing times lower than 7 days. (C) 2017 Elsevier Ltd. All rights reserved.  
  Address [Da Silva, C.; Guerrero, L.] Univ Tecn Federico Santa Maria, Chem & Environm Engn Dept, Av Espana 1680,Casilla 110, Valparaiso 2340000, Chile, Email: cristopher.dasilva@usm.cl  
  Corporate Author Thesis  
  Publisher Pergamon-Elsevier Science Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0956-053x ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000423248500004 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 821  
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Author Pabon-Pereira, C.P.; de Vries, J.W.; Slingerland, M.A.; Zeeman, G.; van Lier, J.B. pdf  doi
openurl 
  Title Impact of crop-manure ratios on energy production and fertilizing characteristics of liquid and solid digestate during codigestion Type Journal Article
  Year 2014 Publication Environmental Technology Abbreviated Journal Environ. Technol.  
  Volume 35 Issue 19 Pages 2427-2434  
  Keywords anaerobic digestion; codigestion; digestate; energy crops; maize silage; manure  
  Abstract The influence of maize silage-manure ratios on energy output and digestate characteristics was studied using batch experiments. The methane production, nutrients availability (N and P) and heavy metals' content were followed in multiflask experiments at digestion times 7, 14, 20, 30 and 60 days. In addition, the available nutrient content in the liquid and solid parts of the digestate was evaluated. Aanaerobic digestion favoured the availability of nutrients to plants, after 61 days 20-26% increase in NH4+ and 0-36% increase in PO43- were found in relation to initial concentrations. Digestion time and maize addition increased the availability of PO43-. Inorganic nutrients were found to be mainly available in the liquid part of the digestate, i.e. 80-92% NH4+ and 65-74% PO43-. Manure had a positive effect on the methane production rate, whereas maize silage increased the total methane production per unit volatile solids in all treatments.  
  Address [Pabon-Pereira, C. P.] Univ Adolfo Ibanez, Fac Engn & Sci, Penalolen, Santiago De Chi, Chile, Email: claudia.pabon@uai.cl  
  Corporate Author Thesis  
  Publisher Taylor & Francis Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0959-3330 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000337615000004 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 385  
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