Instrumentation and control of anaerobic digestion processes: a review and some research challenges

Vista sencilla de ítem
dc.contributor.authorJimenez, Juliees_ES
dc.contributor.authorLatrille, Erices_ES
dc.contributor.authorHarmand, Jes_ES
dc.contributor.authorRobles Martínez, Ángeles_ES
dc.contributor.authorFERRER, J.es_ES
dc.contributor.authorGaida, Des_ES
dc.contributor.authorWolf, C.es_ES
dc.contributor.authorMairet, F.es_ES
dc.contributor.authorBernard, O.es_ES
dc.contributor.authorAlcaraz-Gonzalez, V.es_ES
dc.contributor.authorMendez-Acosta, H.es_ES
dc.contributor.authorZitomer, D.es_ES
dc.contributor.authorTotzke, D.es_ES
dc.contributor.authorSpanjers, H.es_ES
dc.contributor.authorJacobi, F.es_ES
dc.contributor.authorGuwy, A.es_ES
dc.contributor.authorDinsdale, R.es_ES
dc.contributor.authorPremier, G.es_ES
dc.contributor.authorMazhegrane, S.es_ES
dc.contributor.authorRuiz-Filippi, G.es_ES
dc.contributor.authorSeco, A.es_ES
dc.contributor.authorRibeiro, T.es_ES
dc.contributor.authorPauss, A.es_ES
dc.contributor.authorSteyer, J.P.es_ES
dc.contributor.funderAgence Nationale de la Recherche, Francia
dc.date.accessioned2017-02-22T10:18:17Z
dc.date.available2017-02-22T10:18:17Z
dc.date.issued2015-12
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/s11157-015-9382-6es_ES
dc.description.abstract[EN] To enhance energy production from methane or resource recovery from digestate, anaerobic digestion processes require advanced instrumentation and control tools. Over the years, research on these topics has evolved and followed the main fields of application of anaerobic digestion processes: from municipal sewage sludge to liquid mainly industrial then municipal organic fraction of solid waste and agricultural residues. Time constants of the processes have also changed with respect to the treated waste from minutes or hours to weeks or months. Since fast closed loop control is needed for short time constant processes, human operator is now included in the loop when taking decisions to optimize anaerobic digestion plants dealing with complex solid waste over a long retention time. Control objectives have also moved from the regulation of key variables measured online to the prediction of overall process perfor- mance based on global off-line measurements to optimize the feeding of the processes. Additionally, the need for more accurate prediction of methane production and organic matter biodegradation has impacted the complexity of instrumentation and should include a more detailed characterization of the waste (e.g., biochemical fractions like proteins, lipids and carbohydrates)andtheirbioaccessibility andbiodegradability characteristics. However, even if in the literature several methodologies have been developed to determine biodegradability based on organic matter characterization, only a few papers deal with bioaccessibility assessment. In this review, we emphasize the high potential of some promising techniques, such as spectral analysis, and we discuss issues that could appear in the near future concerning control of AD processes.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationJimenez, J.; Latrille, E.; Harmand, J.; Robles Martínez, Á.; Ferrer Polo, J.; Gaida, D.; Wolf, C.... (2015). Instrumentation and control of anaerobic digestion processes: a review and some research challenges. Reviews in Environmental Science and Biotechnology. 14(4):615-648. doi:10.1007/s11157-015-9382-6es_ES
dc.description.issue4es_ES
dc.description.referencesAceves-Lara CA, Latrille E, Steyer JP (2010) Optimal control of hydrogen production in a continuous anaerobic fermentation bioreactor. Int J Hydrogen Energ 35:10710–10718es_ES
dc.description.referencesAguado D, Montoya T, Ferrer J, Seco A (2006) Relating ions concentration variations to conductivity variations in a sequencing batch reactor operated for enhanced biological phosphorus removal. Environ Modell Softw 21:845–851es_ES
dc.description.referencesAguilar-Garnica E, Dochain D, Alcaraz-González V, González-Álvarez V (2009) A multivariable control scheme in a two-stage anaerobic digestion system described by partial differential equations. J Process Contr 19:1324–1332es_ES
dc.description.referencesAhring BK, Angelidaki I, Johansen K (1992) Anaerobic treatment of manure together with industrial waste. Water Sci Technol 25:311–318es_ES
dc.description.referencesAjeej A, Thanikal JV, Narayanan CM, Senthil Kumar R (2015) An overview of bio augmentation of methane by anaerobic co-digestion of municipal sludge along with microalgae and waste paper. Renew Sustain Energy Rev 50:270–276es_ES
dc.description.referencesAlcaraz-González V, González-Álvarez V (2007) Selected topics in dynamics and control of chemical and biological processes. Springer, Berlines_ES
dc.description.referencesAlcaraz-González V, Harmand J, Rapaport A, Steyer JP, González-Álvarez V, Pelayo-Ortiz C (2005a) Robust interval-based regulation for anaerobic digestion processes. Water Sci Technol 52:449–456es_ES
dc.description.referencesAlcaraz-González V, Salazar-Peña R, González-Alvarez V, Gouzé JL, Steyer JP (2005b) A tunable multivariable nonlinear robust observer for biological systems. C R Biol 328:317–325es_ES
dc.description.referencesAlferes J, Irizar I (2010) Combination of extremum-seeking algorithms with effective hydraulic handling of equalization tanks to control anaerobic digesters. Water Sci Technol 61:2825–2834es_ES
dc.description.referencesAlferes J, García-Heras JL, Roca E, García C, Irizar I (2008) Integration of equalisation tanks within control strategies for anaerobic reactors. Validation based on ADM1 simulations. Water Sci Technol 57:747–752es_ES
dc.description.referencesAlimahmoodi M, Mulligan CN (2008) Anaerobic bioconversion of carbon dioxide to biogas in an upflow anaerobic sludge blanket reactor. J Air Waste Manage Assoc 58:95–103es_ES
dc.description.referencesAlvarez JA, Otero L, Lema JM (2010) A methodology for optimising feed composition for anaerobic co-digestion of agro-industrial wastes. Bioresour Technol 101:1153–1158es_ES
dc.description.referencesAlvarez-Ramirez J, Meraz M, Monroy O, Velasco A (2002) Feedback control design for an anaerobic digestion process. J Chem Technol Biotechnol 77:725–734es_ES
dc.description.referencesAnderson GK, Yang G (1992) Determination of bicarbonate and total volatile acid concentration in anaerobic digesters using a simple titration. Water Environ Res 64:53–59es_ES
dc.description.referencesAndrews JF, Graef SP (1971) Dynamic modelling and simulation of the AD process. Advances in chemistry series no. 105, Anaerobic Biological Treatment Processes. American Chemical Society, Washington, DC, p 126es_ES
dc.description.referencesAndrews JF, Pearson EA (1965) Kinetics and characteristics of volatile acid production in anaerobic fermentation processes. Air Water Pollut 9:439–461es_ES
dc.description.referencesAngelidaki I, Sanders W (2004) Assessment of the anaerobic biodegradability of macropllutants. Rev Environ Sci Biotechnol 3:117–129es_ES
dc.description.referencesAntila J, Tuohiniemi M, Rissanen A, Kantojärvi U, Lahti M, Viherkanto K, Kaarre M, Malinen J (2014) MEMS- and MOEMS-based near-infrared spectrometers. Encycl Anal Chem 1–36. doi: 10.1002/9780470027318.a9376es_ES
dc.description.referencesAntoniades CD, Christofides P (2001) Integrating nonlinear output feedback control and optimal actuator/sensor placement for transport-reaction processes. Chem Eng Sci 56:4517–4535es_ES
dc.description.referencesAPHA (2005) American Public Health Association/American Water Works Association/Water Environmental Federation, Standard methods for the Examination of Water and Wastewater, 21st edn. Washington, DC, USAes_ES
dc.description.referencesAppels L, Baeyens J, Degrève J, Dewil R (2008) Principles and potential of the anaerobic digestion of waste-activated sludge. Prog Energ Combust 34:755–781es_ES
dc.description.referencesAppels L, Lauwers J, Gins G, Degreve J, Van Impe J, Dewil R (2011) Parameter identification and modeling of the biochemical methane potential of waste activated sludge. Environ Sci Technol 45:4173–4178es_ES
dc.description.referencesAquino SF, Chernicharo CAL, Soares H, Takemoto SY, Vazoller RF (2008) Methodologies for determining the bioavailability and biodegradability of sludges. Environ Technol 29:855–862es_ES
dc.description.referencesAstals S, Esteban-Gutiérrez M, Fernández-Arévalo T, Aymerich E, García-Heras JL, Mata-Alvarez J (2013a) Anaerobic digestion of seven different sewage sludges: a biodegradability and modelling study. Water Res 47:6033–6043es_ES
dc.description.referencesAstals S, Nolla-Ardèvol V, Mata-Alvarez J (2013b) Thermophilic co-digestion of pig manure and crude glycerol: process performance and digestate stability. J Biotechnol 166:97–104es_ES
dc.description.referencesBabary JP, Julien S, Nihtilä MT et al (1999) New boundary conditions and adaptive control of fixed-bed bioreactors. Chem Eng Process Process Intensif 38:35–44es_ES
dc.description.referencesBarat R, Serralta J, Ruano MV, Jiménez E, Ribes J, Seco A, Ferrer J (2012) Biological nutrient removal model No 2 (BNRM2): a general model for wastewater treatment plants. Water Sci Technol 67:1481–1489es_ES
dc.description.referencesBastin G, Dochain D (1990) On-line estimation and adaptive control of bioreactors. Elsevier Science, Amsterdames_ES
dc.description.referencesBatstone DJ (2013) Modelling and control in anaerobic digestion: achievements and challenges. 13th IWA World Congress on Anaerobic Digestion (AD 13), pp 1–6es_ES
dc.description.referencesBatstone DJ, Keller J, Angelidaki I et al (2002) Anaerobic digestion model No. 1. (ADM1). IWA Scientific and Technical Report No. 13. IWAes_ES
dc.description.referencesBatstone DJ, Tait S, Starrenburg D (2009) Estimation of hydrolysis parameters in full-scale anaerobic digesters. Biotechnol Bioeng 102:1513–1520es_ES
dc.description.referencesBatstone DJ, Amerlinck Y, Ekama G et al (2012) Towards a generalized physicochemical framework. Water Sci Technol 66:1147–1161es_ES
dc.description.referencesBaumann WT, Rugh WJ (1986) Feedback control of nonlinear systems by extended linearization. IEEE Trans Automat Contr AC-31:40–46es_ES
dc.description.referencesBenyahia B, Campillo F, Cherki B, Harmand J (2012) Particle filtring for the chemostat. In: MED’12, Barcelone, Spaines_ES
dc.description.referencesBernard O (2011) Hurdles and challenges for modelling and control of microalgae for CO2 mitigation and biofuel production. J Process Control 21:1378–1389es_ES
dc.description.referencesBernard O, Gouzé JL (2004) Closed loop observers bundle for uncertain biotechnological models. J Process Control 14:765–774es_ES
dc.description.referencesBernard O, Hadj-Sadok Z, Dochain D et al (2001a) Dynamical model development and parameter identification for an anaerobic wastewater treatment process. Biotechnol Bioeng 75:424–438es_ES
dc.description.referencesBernard O, Polit M, Hadj-Sadok Z, Pengov M, Dochain D, Estaben M, Labat P (2001b) Advanced monitoring and control of anaerobic wastewater treatment plants: software sensors and controllers for an anaerobic digester. Water Sci Technol 43:175–182es_ES
dc.description.referencesBernard O, Chachuat B, Hélias A, Rodriguez J (2005a) Can we assess the model complexity for a bioprocess? Theory and example of the anaerobic digestion process. Water Sci Technol 53:85–92es_ES
dc.description.referencesBernard O, Chachuat B, Hélias A, Le Dantec B, Sialve B, Steyer JP, Lavigne JF (2005b) An integrated system to remote monitor and control anaerobic wastewater treatment plants through the internet. Water Sci Technol 52:457–464es_ES
dc.description.referencesBjörnsson L, Hörnsten EG, Mattiasson B (2001a) Utilization of a palladium–metal oxide semiconductor (Pd-MOS) sensor for on-line monitoring of dissolved hydrogen in anaerobic digestion. Biotechnol Bioeng 73:35–43es_ES
dc.description.referencesBjörnsson L, Murto M, Jantsch TG, Mattiasson B (2001b) Evaluation of new methods for the monitoring of alkalinity, dissolved hydrogen and the microbial community in anaerobic digestion. Water Res 35:2833–2840es_ES
dc.description.referencesBoe K (2006) Online monitoring and control of the biogas process. Technical University of Denmarkes_ES
dc.description.referencesBoe K, Batstone D, Angelidaki I (2007) An innovative online VFA monitoring system for the anerobic process, based on headspace gas chromatography. Biotechnol Bioeng 96:712–721es_ES
dc.description.referencesBoe K, Steyer JP, Angelidaki I (2008) Monitoring and control of the biogas process based on propionate concentration using online VFA measurement. Water Sci Technol 57:661–766es_ES
dc.description.referencesBoe K, Batstone DJ, Steyer JP, Angelidaki I (2010) State indicators for monitoring the anaerobic digestion process. Water Res 44:5973–5980es_ES
dc.description.referencesBradford MM (1976) A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 72:248–254es_ES
dc.description.referencesBrinkmann K, Blaschke L, Polle A (2002) Comparison of different methods for lignin determination as a basis for calibration of near-infrared reflectance spectroscopy and implications of lignoproteins. J Chem Ecol 28:2483–2501es_ES
dc.description.referencesBuendía IM, Fernández FJ, Villaseñor J, Rodríguez L (2008) Biodegradability of meat industry wastes under anaerobic and aerobic conditions. Water Res 42:3767–3774es_ES
dc.description.referencesBuffiere P, Loisel D, Bernet N, Delgenes JP (2006) Towards new indicators for the prediction of solid waste anaerobic digestion properties. Water Sci Technol 53:233–241es_ES
dc.description.referencesCao Y, Pawlowski A (2012) Sewage sludge-to-energy approaches based on anaerobic digestion and pyrolysis: brief overview and energy efficiency assessment. Renew Sust Energ Rev 16:1657–1665es_ES
dc.description.referencesCarballa M, Regueiro L, Lema JM (2015) Microbial management of anaerobic digestion: exploiting the microbiome-functionality nexus. Curr Opin Biotechnol 33:103–111es_ES
dc.description.referencesCarlos-Hernandez S, Beteau JF, Sanchez EN (2007) Intelligent control strategy for an anaerobic fluidized bed reactor. In: Michel P (ed) Computer applications in biotechnology, vol 1. Cancun, Mexico, pp 73–78es_ES
dc.description.referencesCarlos-Hernandez S, Sanchez EN, Bueno JA (2010) Neurofuzzy control strategy for an abattoir wastewater treatment process. In: Banga JR, Bogaerts P, Van Impe J, Dochain D, Smets I (eds) 11th International symposium on computer applications in biotechnology. Leuven, Belgium, pp 84–89es_ES
dc.description.referencesChandler JA, Jewell WJ, Gossett JM (1980) Predicting methane fermentation biodegradability. Biotechnol Bioeng Symp 10:93–107es_ES
dc.description.referencesChen YH (1990) Adaptive robust observers for non-linear uncertain systems. Int J Syst Sci 21:803–814es_ES
dc.description.referencesChen Y, Cheng JJ, Creamer KS (2008) Inhibition of anaerobic digestion process: a review. Bioresour Technol 99:4044–4064es_ES
dc.description.referencesChynoweth DP, Turick CE, Owens JM, Jerger DE, Peck MW (1993) Biochemical methane potential of biomass and waste feedstocks. Biomass Bioenerg 5:95–111es_ES
dc.description.referencesCirne DG, van der Zee FP, Fernandez-Polanco M, Fernandez-Polanco F (2008) Control of sulphide during anaerobic treatment of S-containing wastewaters by adding limited amounts of oxygen or nitrate. Rev Environ Sci Biotechnol 7:93–105es_ES
dc.description.referencesColombié S, Latrille E, Sablayrolles JM (2007) Online estimation of assimilable nitrogen by electrical conductivity measurement during alcoholic fermentation in enological conditions. J Biosci Bioeng 103:229–235es_ES
dc.description.referencesCord-Ruwisch R, Mercz TI, Hoh CY, Strong GE (1997) Dissolved hydrogen concentration as an on-line control parameter for the automated operation and optimization of anaerobic digesters. Biotechnol Bioeng 56:626–634es_ES
dc.description.referencesCossu R, Raga R (2008) Test methods for assessing the biological stability of biodegradable waste. Waste Manage 28:381–388es_ES
dc.description.referencesCresson R, Pommier S, Béline F et al (2014) Etude interlaboratoires pour l’harmonisation des protocoles de mesure du potentiel bio-méthanogène des matrices solides hétérogènes—Final report (in French) ADEMEes_ES
dc.description.referencesDalmau J, Comas J, Rodríguez-Roda I, Pagilla K, Steyer JP (2010) Model development and simulation for predicting risk of foaming in anaerobic digestion systems. Bioresour Technol 101:4306–4314es_ES
dc.description.referencesDavidsson A, Gruvberger C, Christensen TH, Hansen TL, Jansen J (2007) Methane yield in source-sorted organic fraction of municipal solid waste. Waste Manage 27:406–414es_ES
dc.description.referencesDe Baere L (2000) Anaerobic digestion of solid waste: state-of-the-art. Water Sci Technol 41:283–290es_ES
dc.description.referencesDe Baere L (2008) Partial stream digestion of residual municipal solid waste. Water Sci Technol 57:1073–1077es_ES
dc.description.referencesDe Gracia M, Grau P, Huete E et al (2009) New generic mathematical model for WWTP sludge digesters operating under aerobic and anaerobic conditions: model building and experimental verification. Water Res 43:4626–4642es_ES
dc.description.referencesDe Vrieze J, Verstraete W, Boon N (2013) Repeated pulse feeding induces functional stability in anaerobic digestion. Microb Biotechnol 6:414–424es_ES
dc.description.referencesDelattre C, Dochain D, Winkin J (2004) Observability analysis of nonlinear tubular (bio)reactor models: a case study. J Process Control 14:661–669es_ES
dc.description.referencesDi Pinto AC, Limoni N, Passino R, Rozzi A, Tomei MC (1990) Instrumentation, control and automation of water and wastewater treatment and transport systems. In: Proceedings of the 5th IAWPRC workshop, pp 51–58es_ES
dc.description.referencesDíaz I, Pérez C, Alfaro N, Fdz-Polanco F (2015) A feasibility study on the bioconversion of CO2 and H2 to biomethane by gas sparging through polymeric membranes. Bioresour Technol 185:246–253es_ES
dc.description.referencesDochain D (2003) State and parameter estimation in chemical and biochemical processes: a tutorial. J Process Control 13:801–818es_ES
dc.description.referencesDochain D, Tali-Maamar N, Babary JP (1997) On modelling, monitoring and control of fixed bed bioreactors. Comput Chem Eng 21:1255–1266es_ES
dc.description.referencesDochain D, Perrier M, Guay M (2011) Extremum seeking control and its application to process and reaction systems: a survey. Math Comput Simulat 82:369–380es_ES
dc.description.referencesDonoso-Bravo A, Garcia G, Pérez-Elvira S, Fernandez-Polanco F (2011) Initial rates technique as a procedure to predict the anaerobic digester operation. Biochem Eng J 53(3):275–280es_ES
dc.description.referencesDoublet J, Boulanger A, Ponthieux A, Laroche C, Poitrenaud M, Cacho Rivero JA (2013) Predicting the biochemical methane potential of wide range of organic substrates by near infrared spectroscopy. Bioresour Technol 128:252–258es_ES
dc.description.referencesDreywood R (1946) Qualitative test for carbohydrate material. Industrial & Engineering Chemistry Analytical Edition. Am Chem Soc 18:499es_ES
dc.description.referencesDubois M, Gilles KA, Hamilton JK, Rebers PA, Smith F (1956) Colorimetric method for determination of sugars and related substances. Anal Chem 28:350–356es_ES
dc.description.referencesEkama GA, Sotemann SW, Wentzel MC (2007) Biodegradability of activated sludge organics under anaerobic conditions. Water Res 41:244–252es_ES
dc.description.referencesEllison WJ, Pedarros-Caubet F, Caubet R (2007) Automatic and rapid measurement of microbial suspension growth parameters: application to the evaluation of effector agents. J Rapid Meth Aut Mic 15:369–410es_ES
dc.description.referencesFang HHP (2012) Bioenergy production from waste and wastewater in China. In: Technical proceedings of the 2012 NSTI nanotechnology conference and expo, NSTI-nanotech 2012, pp 381–383es_ES
dc.description.referencesFannin KF, Chynoweth DP, Isaacson R (1987) Start-up, operation, stability, and control. Anaerob Dig Biomass 171–196es_ES
dc.description.referencesFdz-Polanco M, Díaz I, Pérez SI, Lopes AC, Fdz-Polanco F (2009a) Hydrogen sulphide removal in the anaerobic digestion of sludge by micro-aerobic processes: pilot plant experience. Water Sci Technol 60:3045–3050es_ES
dc.description.referencesFdz-Polanco M, Pérez-Elvira SI, Díaz I, García L, Torío R, Acevedo AF (2009b) Eliminación de H2S en digestión anaerobia de lodos por procesos microaerofílicos: experiencia en planta piloto. Tecnol del Agua 29:58–64es_ES
dc.description.referencesFeitkenhauer H, von Sachs J, Meyer U (2002) On-line titration of volatile fatty acids for the process control of anaerobic digestion plants. Water Res 36:212–218es_ES
dc.description.referencesFernández YB, Soares A, Villa R, Vale P, Cartmell E (2014) Carbon capture and biogas enhancement by carbon dioxide enrichment of anaerobic digesters treating sewage sludge or food waste. Bioresour Technol 159:1–7es_ES
dc.description.referencesFountoulakis MS, Stamatelatou K, Lyberatos G (2008) The effect of pharmaceuticals on the kinetics of methanogenesis and acetogenesis. Bioresour Technol 99:7083–7090es_ES
dc.description.referencesFrancioso O, Rodriguez-Estrada MT, Montecchio D, Salomoni C, Caputo A, Palenzona D (2010) Chemical characterization of municipal wastewater sludges produced by two-phase anaerobic digestion for biogas production. J Hazard Mater 175:740–746es_ES
dc.description.referencesFrigon JC, Roy C, Guiot SR (2012) Anaerobic co-digestion of dairy manure with mulched switchgrass for improvement of the methane yield. Bioprocess Biosyst Eng 35:341–349es_ES
dc.description.referencesFrings CS, Dunn RT (1970) A colorimetric method for determination of total serum lipids based on the sulfo-phospho-vanillin reaction. Am J Clin Pathol 53:89–91es_ES
dc.description.referencesFrølund B, Palmgren R, Keiding K, Nielsen PH (1996) Extraction of extracellular polymers from activated sludge using a cation exchange resin. Water Res 30:1749–1758es_ES
dc.description.referencesGaida D, Wolf C, Meyer C, Stuhlsatz A, Lippel J, Bäck T, Bongards M, McLoone S (2012) State estimation for anaerobic digesters using the ADM1. Water Sci Technol 66:1088–1095es_ES
dc.description.referencesGanesh R, Torrijos M, Sousbie P et al (2013) Anaerobic co-digestion of solid waste: effect of increasing organic loading rates and characterization of the solubilised organic matter. Bioresource Technol 130:559–569es_ES
dc.description.referencesGarcía-Diéguez C, Molina F, Roca E (2011) Multi-objective cascade controller for an anaerobic digester. Process Biochem 46:900–909es_ES
dc.description.referencesGarcía-Gen (2015) Modelling, optimisation and control of anaerobic co-digestion processes (2015), Ph.D. Thesis, Universidad de Santiago de Compostela, Departamento de Ingeniería Químicaes_ES
dc.description.referencesGarcía-Gen S, Sousbie P, Rangaraj G et al (2015) Kinetic modelling of anaerobic hydrolysis of solid wastes, including disintegration processes. Waste Manag 35:96–104es_ES
dc.description.referencesGauthier JP, Kupka IAK (1994) Observability and observers for nonlinear systems. SIAM J Control Optim 32:975–994es_ES
dc.description.referencesGauthier JP, Hammouri H, Othman S (1992) A simple observer for nonlinear systems applications to bioreactors. Autom Control IEEE Trans 37:875–880es_ES
dc.description.referencesGe H, Jensen PD, Batstone DJ (2011) Increased temperature in the thermophilic stage in temperature phased anaerobic digestion (TPAD) improves degradability of waste activated sludge. J Hazard Mater 187:355–361es_ES
dc.description.referencesGendron S, Perrier M, Barrett J, Legault N (1993) Adaptive control of brightness: the model weighting approach. Annual meeting—technical section, Canadian Pulp and Paper Association, Preprints. Publ by Canadian Pulp & Paper Assoces_ES
dc.description.referencesGhosh S, Conrad JR, Klass DL (1975) Anaerobic acidogenesis of waste activated sludge, WPCF 47es_ES
dc.description.referencesGoffaux G, Van de Wouwer A (2005) Bioprocess state estimation: some classical and less classical approaches. Springer, Berlines_ES
dc.description.referencesGornall AG, Bardawill CJ, David MM (1949) Determination of serum proteins by means of the biuret reaction. J Biochem Chem 177:751–766es_ES
dc.description.referencesGouzé JL, Rapaport A, Hadj-Sadok MZ (2000) Interval observers for uncertain biological systems. Ecol Model 133:45–56es_ES
dc.description.referencesGrau P, de Gracia M, Vanrolleghem PA, Ayesa E (2007) A new plant-wide modelling methodology for WWTPs. Water Res 41:4357–4372es_ES
dc.description.referencesGregersen KH (2003) Økonomien i biogasfællesanlæg, Udvikling og status medio (2002) Report no. 150. Institute of Food and Resource Economic, Rolighedsvej 25, DK 1958, Frederiksberg C, Denmarkes_ES
dc.description.referencesGrepmeier M (2002) Experimentelle Untersuchungen an einer zweistufigen fuzzy-geregelten anaeroben Abwasserreinigungsanlage mit neuartigem Festbettmaterial. TU Muniches_ES
dc.description.referencesGuay M, Dochain D, Perrier M (2004) Adaptive extremum seeking control of continuous stirred tank bioreactors with unknown growth kinetics. Automatica 40:881–888es_ES
dc.description.referencesGunaseelan VN (2007) Regression models of ultimate methane yields of fruits and vegetable solid wastes, sorghum and napiergrass on chemical composition. Bioresour Technol 98:1270–1277es_ES
dc.description.referencesGunaseelan VN (2009) Predicting ultimate methane yields of Jatropha curcus and Morus indica from their chemical composition. Bioresour Technol 100:3426–3429es_ES
dc.description.referencesGuwy AJ, Hawkes FR, Wilcox SJ, Hawkes DL (1997) Neural network and on-off control of bicarbonate alkalinity in a fluidised-bed anaerobic digester. Water Res 31:2019–2025es_ES
dc.description.referencesGuwy AJ, Dinsdale RM, Kim JR et al (2011) Fermentative biohydrogen production systems integration. Bioresour Technol 102:8534–8542es_ES
dc.description.referencesHao OJ (2003) Sulphate-reducing bacteria. In: Mara D, Horan N (eds) Handbook of water and wastewater microbiology. Academic Press Inc, London, pp 459–468es_ES
dc.description.referencesHarremoës P, Capodaglio AG, Hellström BG, Henze M, Jensen KN, Lynggaard-Jensen A, Otterpohl R, Søeberg H (1993) Wastewater treatment plants under transient loading – performance, modelling and control. Water Sci Technol 27(12):71–115es_ES
dc.description.referencesHawkes FR, Guwy AJ, Rozzi AG, Hawkes DL (1993) A new instrument for on-line measurement of bicarbonate alkalinity. Water Res 27:167–170es_ES
dc.description.referencesHawkes FR, Guwy AJ, Hawkes DL, Rozzi AG (1994) On-line monitoring of anaerobic digestion: application of a device for continuous measurement of bicarbonate alkalinity. Water Sci Technol 30:1–10es_ES
dc.description.referencesHe XS, Xi BD, Wei ZM, Jiang YH, Yang Y, Cao JL, Liu HL (2011) Fluorescence excitation-emission matrix spectroscopy with regional integration analysis for characterizing composition and transformation of dissolved organic matter in landfill leachates. J Hazard Mater 190:293–299es_ES
dc.description.referencesHenneberg W, Stohmann F (1860) Beiträge zur Begründer einer rationellen. Fütterung Der Wiederkäer I & II.Braunschweiges_ES
dc.description.referencesHenson MA, Seborg DE (1997) Adaptive input-output linearization of a pH neutralization process. Int J Adapt Control Signal Process 11:171–200es_ES
dc.description.referencesHobson PN (1985) A model of anaerobic bacterial degradation of solid substrates in a batch digester. Agric Wastes 14:255–274es_ES
dc.description.referencesHoffmann F, Schmidt M, Rinas U (2000) Simple technique for simultaneous on-line estimation of biomass and acetate from base consumption and conductivity measurements in high-cell density cultures of Escherichia coli. Biotechnol Bioeng 70:358–361es_ES
dc.description.referencesHolm-Nielsen JB, Lomborg CJ, Oleskowicz-Popiel P, Esbensen KH (2008) On-line near infrared monitoring of glycerol-boosted anaerobic digestion processes: evaluation of process analytical technologies. Biotechnol Bioeng 99:302–313es_ES
dc.description.referencesHolubar P, Zani L, Hager M, Fröschl W, Radak Z, Braun R (2002) Advanced controlling of anaerobic digestion by means of hierarchical neural networks. Water Res 36:2582–2588es_ES
dc.description.referencesHolubar P, Zani L, Hager M, Fröschl W, Radak Z, Braun R (2003) Start-up and recovery of a biogas-reactor using a hierarchical neural network-based control tool. J Chem Technol Biot 78:847–854es_ES
dc.description.referencesHuang M, Li Y, Gu G (2010) Chemical composition of organic matters in domestic wastewater. Desalination 262:36–42es_ES
dc.description.referencesHuete E, de Gracia M, Ayesa E, Garcia-Heras JL (2006) ADM1-based methodology for the characterisation of the influent sludge in anaerobic reactors. Water Sci Technol 54:157–166es_ES
dc.description.referencesHunt LR, Su R (1983) Linear approximations of nonlinear systems. In: Proceedings of the IEEE conference on decision and control. IEEE, pp 122–125es_ES
dc.description.referencesHuntington R (1998) Twenty years development of ICA in a water utility. Water Sci Technol 37:27–34es_ES
dc.description.referencesIgnatova MN, Lyubenova VN, García MR, Vilas C, Alonso AA (2008) Indirect adaptive linearizing control of a class of bioprocesses—estimator tuning procedure. J Process Control 18:27–35es_ES
dc.description.referencesImhoff K (1938) Sedimentation and digestion in Germany, in modern sewage disposal. Lancaster Press, Lancaster, PA, USAes_ES
dc.description.referencesIsidori A (1989) Nonlinear control systems: an introduction, 2nd edn. Springer, New Yorkes_ES
dc.description.referencesISO 11734 (1995) Evaluation of the “ultimate” anaerobic biodegradability of organic compounds in digested sludge—method by measurement of the biogases_ES
dc.description.referencesJacobi HF, Moschner CR, Hartung E (2009) Use of near infrared spectroscopy in monitoring of volatile fatty acids in anaerobic digestion. Water Sci Technol 60:339–346es_ES
dc.description.referencesJacobi HF, Ohl S, Hartung E (2012) NIRS-aided monitoring and prediction of biogas yields from maize silage at a full-scale biogas plant applying lumped kinetics. Bioresour Technol 103:162–172es_ES
dc.description.referencesJáuregui-Medina EA, Alcaraz-González V, Méndez-Acosta HO, González-Alvarez V (2009) Observer-based input estimation in continuous anaerobic wastewater treatment processes. Water Sci Technol 60:805–812es_ES
dc.description.referencesJeison D, van Lier JB (2006) On-line cake-layer management by trans-membrane pressure steady state assessment in Anaerobic Membrane Bioreactors for wastewater treatment. Biochem Eng J 29:204–209es_ES
dc.description.referencesJensen PD, Hardin MT, Clarke WP (2009) Effect of biomass concentration and inoculum source on the rate of anaerobic cellulose solubilization. Bioresour Technol 100:5219–5225es_ES
dc.description.referencesJimenez J, Vedrenne F, Denis C, Mottet A, Déléris S, Steyer JP, Cacho Rivero JA (2013) A statistical comparison of protein and carbohydrate characterisation methodology applied on sewage sludge samples. Water Res 47:1751–1762es_ES
dc.description.referencesJimenez J, Gonidec E, Cacho Rivero JA, Latrille E, Vedrenne F, Steyer JP (2014) Prediction of anaerobic biodegradability and bioaccessibility of municipal sludge by coupling sequential extractions with fluorescence spectroscopy: towards ADM1 variables characterization. Water Res 50:359–372es_ES
dc.description.referencesJiménez J, Guardia-Puebla Y, Romero-Romero O, Cisneros-Ortiz ME, Guerra G, Morgan-Sagastume JM, Noyola A (2014) Methanogenic activity optimization using the response surface methodology, during the anaerobic co-digestion of agriculture and industrial wastes. Microbial community diversity. Biomass Bioenerg 71:84–97es_ES
dc.description.referencesJones RJ, Massanet-Nicolau J, Guwy AJ, Premier GC, Dinsdale RM, Reilly M (2015) Removal and recovery of inhibitory volatile fatty acids from mixed acid fermentations by conventional electrodialysis. Bioresour Technol 189:279–284es_ES
dc.description.referencesKaur A, Kim JR, Dinsdale RM, Guwy AJ (2013) Microbial fuel cell type biosensor for volatile fatty acid with an acclimated bacterial community. Biosens Bioelectron 47:50–55es_ES
dc.description.referencesKaur A, Ibrahim S, Pickett C, Michie I, Kim JR, Dinsdale RM, Guwy AJ, Premier GC (2014) Anode modification to improve the performance of a microbial fuel cell volatile fatty acid biosensor. Sensor Actuat B Chem 47:50–55es_ES
dc.description.referencesKayhanian M (1995) Biodegradability of the organic fraction of municipal solid waste in a high-solids anaerobic digester. Waste Manage Res 13:123–136es_ES
dc.description.referencesKjeldahl J (1883) A new method for the determination of nitrogen in organic matter. Z Anal Chem 22:366es_ES
dc.description.referencesKleerebezem R, van Loosdrecht MCM (2006) Waste characterization for implementation in ADM1. Water Sci Technol 54:167–174es_ES
dc.description.referencesKoch C, Müller S, Harms H, Harnisch F (2014) Microbiomes in bioenergy production: from analysis to management. Curr Opin Biotechnol 27:65–72es_ES
dc.description.referencesKrapf LC, Heuwinkel H, Schmidhalter U, Gronauer A (2013) The potential for online monitoring of short-term process dynamics in anaerobic digestion using near-infrared spectroscopy. Biomass Bioenerg 48:224–230es_ES
dc.description.referencesKurtz MJ, Henson MA (1997) Input-output linearizing control of constrained nonlinear processes. J Process Contr 7:3–17es_ES
dc.description.referencesLabatut RA, Angenent LT, Scott NR (2011) Biochemical methane potential and biodegradability of complex organic substrates. Bioresour Technol 102:2255–2264es_ES
dc.description.referencesLara-Cisneros G, Aguilar-López R, Femat R (2015) On the dynamic optimization of methane production in anaerobic digestion via extremum-seeking control approach. Comput Chem Eng 75:49–59es_ES
dc.description.referencesLauwers J, Appels L, Thompson IP, Degrève J, Van Impe JF, Dewil R (2013) Mathematical modelling of anaerobic digestion of biomass and waste: power and limitations. Prog Energ Combust 39:383–402es_ES
dc.description.referencesLesteur M, Bellon-Maurel V, Gonzalez C, Latrille E, Roger JM, Junqua G, Steyer JP (2010) Alternative methods for determining anaerobic biodegradability: a review. Process Biochem 45:431–440es_ES
dc.description.referencesLesteur M, Latrille E, Maurel VB, Roger JM, Gonzalez C, Junqua G, Steyer JP (2011) First step towards a fast analytical method for the determination of Biochemical Methane Potential of solid wastes by near infrared spectroscopy. Bioresour Technol 102:2280–2288es_ES
dc.description.referencesLi YF, Yu Z (2015) Construction and evaluation of a genetic construct for specific detection and measurement of propionate by whole-cell bacteria. Biotechnol Bioeng 112:280–287es_ES
dc.description.referencesLin Y, Lü F, Shao L, He P (2013) Influence of bicarbonate buffer on the methanogenetic pathway during thermophilic anaerobic digestion. Bioresour Technol 137:245–253es_ES
dc.description.referencesLiu J, Olsson G, Mattiasson B (2004a) Control of an anaerobic reactor towards maximum biogas production. Water Sci Technol 50:189–198es_ES
dc.description.referencesLiu J, Olsson G, Mattiasson B (2004b) Monitoring and control of an anaerobic upflow fixed-bed reactor for high-loading-rate operation and rejection of disturbances. Biotechnol Bioeng 87:43–53es_ES
dc.description.referencesLiu J, Olsson G, Mattiasson B (2006) Extremum-seeking with variable gain control for intensifying biogas production in anaerobic fermentation. Water Sci Technol 53:35–44es_ES
dc.description.referencesLiu X, Li R, Ji M, Han L (2013) Hydrogen and methane production by co-digestion of waste activated sludge and food waste in the two-stage fermentation process: substrate conversion and energy yield. Bioresour Technol 146:317–323es_ES
dc.description.referencesLowry OH, Rosebrough NJ, Farr AL, Randall RJ (1951) Protein measurement with the Folin phenol reagent. J Biol Chem 193:265–275es_ES
dc.description.referencesLuo G, Angelidaki I (2013) Co-digestion of manure and whey for in situ biogas upgrading by the addition of H2: process performance and microbial insights. Appl Microbiol Biotechnol 97:1373–1381es_ES
dc.description.referencesLuo G, Johansson S, Boe K, Xie L, Zhou Q, Angelidaki I (2012) Simultaneous hydrogen utilization and in situ biogas upgrading in an anaerobic reactor. Biotechnol Bioeng 109:1088–1094es_ES
dc.description.referencesMadsen M, Holm-Nielsen JB, Esbensen KH (2011) Monitoring of anaerobic digestion processes: a review perspective. Renew Sust Energ Rev 15:3141–3155es_ES
dc.description.referencesMailleret L, Bernard O, Steyer JP (2004) Nonlinear adaptive control for bioreactors with unknown kinetics. Automatica 40:1379–1385es_ES
dc.description.referencesMairet F, Bernard O (2014) Robustness of closed-loop control to biodiversity: a didactic example. In: Proceedings of the 19th IFAC world congress. Cape Town, South Africaes_ES
dc.description.referencesMäkynen JH, Tuohiniemi M, Näsilä A, Mannila R, Antila JE (2014) MEMS Fabry-Perot interferometer-based spectrometer demonstrator for 7.5 μm to 9.5 μm wavelength range. MOEMS and miniaturized systems XIII. SPIE Proc 8977:1–8es_ES
dc.description.referencesMalinen J, Rissanen A, Saari H, Karioja P, Karppinen M, Aalto T, Tukkiniemi K (2014) Advances in miniature spectrometer and sensor development. Next-generation spectroscopic technologies VII. SPIE proceedings (9101)es_ES
dc.description.referencesMarcos NI, Guay M, Dochain D (2004a) Output feedback adaptive extremum seeking control of a continuous stirred tank bioreactor with Monod’s kinetics. J Process Control 14:807–818es_ES
dc.description.referencesMarcos NI, Guay M, Dochain D, Zhang T (2004b) Adaptive extremum-seeking control of a continuous stirred tank bioreactor with Haldane’s Kinetics. J Process Control 14:317–328es_ES
dc.description.referencesMarsili-Libelli S, Beni S (1996) Shock load modelling in the anaerobic digestion process. Ecol Modell 84:215–232es_ES
dc.description.referencesMassanet-Nicolau J, Dinsdale R, Guwy A, Shipley G (2013) Use of real time gas production data for more accurate comparison of continuous single-stage and two-stage fermentation. Bioresour Technol 129:561–567es_ES
dc.description.referencesMata-Alvarez J, Macé S, Llabres P (2000) Anaerobic digestion of organic solid wastes. An overview of research achievements and perspectives. Bioresour Technol 74:3–16es_ES
dc.description.referencesMata-Alvarez J, Dosta J, Macé S, Astals S (2011) Codigestion of solid wastes: a review of its uses and perspectives including modelling. Crit Rev Biotechnol 31:99–111es_ES
dc.description.referencesMata-Alvarez J, Dosta J, Macé S, Romero-Güiza MC, Fonoll X, Peces M, Astals S (2014) A critical review on anaerobic co-digestion achievements between 2010 and 2013. Renew Sust Energ Rev 36:412–427es_ES
dc.description.referencesMathiot S, Escoffier Y, Ehlinger F, Couderc JP, Leyris JP, Moletta R (1992) Control parameter variations in an anaerobic fluidised bed reactor subjected to organic shockloads. Water Sci Technol 25:93–101es_ES
dc.description.referencesMcCartney DM, Oleszkiewicz JA (1991) Sulfide inhibition of anaerobic degradation of lactate and acetate. Water Res 25:203–209es_ES
dc.description.referencesMcCartney DM, Oleszkiewicz JA (1993) Competition between methanogens and sulfate reducers: effect of COD:sulfate ratio and acclimation. Water Environ Res 65:655–664es_ES
dc.description.referencesMcCarty PL (1964) Anaerobic waste treatment fundamentals. Public Works 95:91–99es_ES
dc.description.referencesMcMahon K (2001) Anaerobic codigestion of municipal solid waste and biosolids under various mixing conditions—II: microbial population dynamics. Water Res 35:1817–1827es_ES
dc.description.referencesMehta CM, Batstone DJ (2013) Nutrient solubilization and its availability following anaerobic digestion. Water Sci Technol 67:756–763es_ES
dc.description.referencesMéndez-Acosta HO, Femat R, Campos-Delgado DU (2004) Improving the performance on the chemical oxygen demand regulation in anaerobic digestion. Ind Eng Chem Res 43:95–104es_ES
dc.description.referencesMéndez-Acosta HO, Campos-Delgado DU, Femat R, González-Alvarez V (2005) A robust feedforward/feedback control for an anaerobic digester. Comput Chem Eng 29:1613–1623es_ES
dc.description.referencesMéndez-Acosta HO, Palacios-Ruiz B, Alcaraz-González V, Steyer JP, González-Álvarez V, Latrille E (2008) Robust control of volatile fatty acids in anaerobic digestion processes. Ind Eng Chem Res 47:7715–7720es_ES
dc.description.referencesMéndez-Acosta HO, Palacios-Ruiz B, Alcaraz-González V, González-Álvarez V, García-Sandoval JP (2010) A robust control scheme to improve the stability of anaerobic digestion processes. J Process Control 20:375–383es_ES
dc.description.referencesMéndez-Acosta HO, García-Sandoval JP, González-Álvarez V, Alcaraz-González V, Jáuregui-Jáuregui JA (2011) Regulation of the organic pollution level in anaerobic digesters by using off-line COD measurements. Bioresour Technol 102:7666–7672es_ES
dc.description.referencesMisawa EA, Hedrick JK (1989) Nonlinear observers—a state-of-the-art survey. J Dyn Syst Meas Control Trans ASME 111:344–352es_ES
dc.description.referencesMohd Yasin NH, Maeda T, Hu A, Yu CP, Wood TK (2015) CO2 sequestration by methanogens in activated sludge for methane production. Appl Energy 142:426–434es_ES
dc.description.referencesMoisan M, Bernard O, Gouzé JL (2009) Near optimal interval observers bundle for uncertain bioreactors. Automatica 45:291–295es_ES
dc.description.referencesMosey FE (1983) Mathematical modelling of the anaerobic digestion process: regulatory mechanisms for the formation of short-chain volatile acids from glucose. Water Sci Technol 15:209–232es_ES
dc.description.referencesMotte JC, Escudié R, Beaufils N et al (2014) Morphological structures of wheat straw strongly impacts its anaerobic digestion. Ind Crops Prod 52:695–701es_ES
dc.description.referencesMottet A, François E, Latrille E, Steyer JP, Déléris S, Vedrenne F, Carrère H (2010) Estimating anaerobic biodegradability indicators for waste activated sludge. Chem Eng J 160:488–496es_ES
dc.description.referencesMottet A, Ramirez I, Carrère H et al (2013) New fractionation for a better bioaccessibility description of particulate organic matter in a modified ADM1 model. Chem Eng J 228:871–881es_ES
dc.description.referencesMu SJ, Zeng Y, Tartakovsky B, Wu P (2007) Simulation and control of an upflow anaerobic sludge blanket (UASB) reactor using an ADM1-based distributed parameter model. Ind Eng Chem Res 46:1519–1526es_ES
dc.description.referencesMurnleitner E, Becker TM, Delgado A (2002) State detection and control of overloads in the anaerobic wastewater treatment using fuzzy logic. Water Res 36:201–211es_ES
dc.description.referencesNeave SL, Buswell AM (1930) The anaerobic oxidation of fatty acids. J Am Chem Soc 52:3308–3314es_ES
dc.description.referencesNeumann N, Ebermann M, Gittler E, Meinig M, Kurth S, Hiller K (2010) Uncooled IR sensors with tunable MEMS Fabry-P. IEEE sensors conference, pp 2383–2387es_ES
dc.description.referencesNghiem LD, Manassa P, Dawson M, Fitzgerald SK (2014) Oxidation reduction potential as a parameter to regulate micro-oxygen injection into anaerobic digester for reducing hydrogen sulphide concentration in biogas. Bioresour Technol 173:443–447es_ES
dc.description.referencesNielfa A, Cano R, Vinot M et al (2015) Anaerobic digestion modeling of the main components of organic fraction of municipal solid waste. Process Saf Environ Prot 94:180–187es_ES
dc.description.referencesO’Flaherty V, Mahony T, O’Kennedy R, Colleran E (1998) Effect of pH on growth kinetics and sulphide toxicity thresholds of a range of methanogenic, syntrophic and sulphate-reducing bacteria. Process Biochem 33:555–569es_ES
dc.description.referencesOlsson G, Newell R (1998) Reviewing, assessing and speculating. Water Sci Technol 37:397–401es_ES
dc.description.referencesOlsson G, Nielsen MK, Yuan Z, Lynggaard-Jensen A, Steyer JP (2005) Instrumentation, control and automation in wastewater systems. IWA Publishing, Londones_ES
dc.description.referencesOlsson G, Carlsson B, Comas J et al (2014) Instrumentation, control and automation in wastewater—from London 1973 to Narbonne 2013. Water Sci Technol 69:1373–1385es_ES
dc.description.referencesOwen WF, Stuckey DC, Healy J, Young LY, McCarty PL (1979) Bioassay for monitoring biochemical methane potential and anaerobic toxicity. Water Res 13:485–492es_ES
dc.description.referencesPant D, Van Bogaert G, Diels L, Vanbroekhoven K (2010) A review of the substrates used in microbial fuel cells (MFCs) for sustainable energy production. Bioresour Technol 101:1533–1543es_ES
dc.description.referencesPark C, Novak JT (2007) Characterization of activated sludge exocellular polymers using several cation-associated extraction methods. Water Res 41:1679–1688es_ES
dc.description.referencesPark C, Novak JT, Helm RF, Ahn YO, Esen A (2008) Evaluation of the extracellular proteins in full-scale activated sludges. Water Res 42:3879–3889es_ES
dc.description.referencesPark HD, Lee YH, Kim HB et al (2010) Reduction of membrane fouling by simultaneous upward and downward air sparging in a pilot-scale submerged membrane bioreactor treating municipal wastewater. Desalination 251:75–82es_ES
dc.description.referencesPauss A, Nyns E-J (1993) Past, present and future trends in anaerobic digestion applications. Biomass Bioenerg 4:263–270es_ES
dc.description.referencesPerrier M, de Azevedo SF, Ferreira EC, Dochain D (2000) Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters. Control Eng Pract 8:377–388es_ES
dc.description.referencesPind PF, Angelidaki I, Ahring BK, Stamatelatou K, Lyberatos G (2003) Monitoring and control of anaerobic reactors. Adv Biochem Eng Biot 82:135–182es_ES
dc.description.referencesPratt S, Yuan Z, Gapes D et al (2003) Development of a novel titration and off-gas analysis (TOGA) sensor for study of biological processes in wastewater treatment systems. Biotechnol Bioeng 81:482–495es_ES
dc.description.referencesPratt S, Liew D, Batstone DJ, Werker G, Morgan-Sagastume F, Lant P (2012) Inhibition by fatty acids during fermentation of pre-treated waste activated sludge. J Biotechnol 159:38–43es_ES
dc.description.referencesProvenzano MR, Malerba AD, Pezzolla D, Gigliotti G (2014) Chemical and spectroscopic characterization of organic matter during the anaerobic digestion and successive composting of pig slurry. Waste Manag 34:653–660es_ES
dc.description.referencesPullammanappallil P, Harmon J, Chynoweth DP, Lyberatos G, Svoronos SA (1991) Avoiding digester imbalance through real-time expert system control of dilution rate. Appl Biochem Biotech 28–29:33–42es_ES
dc.description.referencesPullammanappallil PC, Svoronos SA, Chynoweth DP, Lyberatos G (1998) Expert system for control of anaerobic digesters. Biotechnol Bioeng 58:13–22es_ES
dc.description.referencesPuñal A, Palazzotto L, Bouvier JC, Conte T, Steyer JP (2003) Automatic control of volatile fatty acids in anaerobic digestion using a fuzzy logic based approach. Water Sci Technol 48:103–110es_ES
dc.description.referencesPurser BJJ, Thai SM, Fritz T et al (2014) An improved titration model reducing over estimation of total volatile fatty acids in anaerobic digestion of energy crop, animal slurry and food waste. Water Res 61:162–170es_ES
dc.description.referencesRamirez I, Volcke EIP, Rajinikanth R, Steyer JP (2009) Modeling microbial diversity in anaerobic digestion through an extended ADM1 model. Water Res 43:2787–2800es_ES
dc.description.referencesRapaport A, Dochain D (2005) Interval observers for biochemical processes with uncertain kinetics and inputs. Math Biosci 193:235–253es_ES
dc.description.referencesRapaport A, Harmand J (2002) Robust regulation of a class of partially observed nonlinear continuous bioreactors. J Process Contr 12:291–302es_ES
dc.description.referencesRapaport A, Haidar I, Harmand J (2014) Global dynamics of the buffered chemostat for a general class of response functions. J Math Biol 71:69–98es_ES
dc.description.referencesRaposo F, De la Rubia MA, Fernandez-Cegri V, Borja R (2011) Anaerobic digestion of solid organic substrates in batch mode: an overview relating to methane yields and experimental procedures. Renew Sust Energ Rev 16:861–877es_ES
dc.description.referencesRaposo F, Borja R, Cacho JA et al (2013) Review—First international comparative study of volatile fatty acids in aqueous samples by chromatographic techniques: evaluating sources of error. Trends Anal Chem 51:127–144es_ES
dc.description.referencesRas M, Girbal-Neuhauser E, Paul E, Sperandio M, Lefebvre D (2008) Protein extraction from activated sludge: an analytical approach. Water Res 42:1867–1878es_ES
dc.description.referencesRaunkjær K, Hvitved-Jacobsen T, Nielsen PH (1994) Measurement of pools of protein, carbohydrate and lipid in domestic wastewater. Water Res 28:251–262es_ES
dc.description.referencesReilly M, Dinsdale R, Guwy A (2015) Enhanced biomethane potential from wheat straw by low temperature alkaline calcium hydroxide pre-treatment. Bioresour Technol 189:258–265es_ES
dc.description.referencesRenard P, Dochain D, Bastin G, Naveau H, Nyns EJ (1988) Adaptive control of anaerobic digestion processes—a pilot-scale application. Biotechnol Bioeng 31:287–294es_ES
dc.description.referencesReynolds DM, Ahmad SR (1997) Rapid and direct determination of wastewater BOD values using a fluorescence technique. Water Res 31:2012–2018es_ES
dc.description.referencesRipley LE, Boyle WC, Converse JC (1985) Improved alkalimetric monitoring for anaerobic digestion of poultry manure. In: Proceedings of the industrial waste conference, pp 141–149es_ES
dc.description.referencesRobles A, Ruano MV, Ribes J, Ferrer J (2013) Advanced control system for optimal filtration in submerged anaerobic MBRs (SAnMBRs). J Membrane Sci 430:330–341es_ES
dc.description.referencesRobles A, Ruano MV, Ribes J, Seco A, Ferrer J (2014) Model-based automatic tuning of a filtration control system for submerged anaerobic membrane bioreactors (AnMBR). J Membrane Sci 465:14–26es_ES
dc.description.referencesRobles A, Durán F, Ruano MV, Ribes J, Rosado A, Seco A, Ferrer J (2015) Instrumentation, control, and automation for submerged anaerobic membrane bioreactors. Environ Technol 36:1795–1806es_ES
dc.description.referencesRodriguez CER, Latrille E, Harmand J, Alcaraz González V, González Álvarez V, Steyer JP (2013) A switching control strategy based on alkalinity to optimize biogas outflow in the startup of an anaerobic digester, IWA ICA2013, September 18–20. Narbonne, Francees_ES
dc.description.referencesRosén C, Jeppsson U (2006) Aspects on ADM1 Implementation within the BSM2 Framework. Lund Universityes_ES
dc.description.referencesRuiz G, Castellano M, González W et al (2005) European symposium on computer-aided process engineering-15, 38th european symposium of the working party on computer aided process engineering. Elsevier, New Yorkes_ES
dc.description.referencesRyhiner G, Dunn IJ, Heinzle E, Rohani S (1992) Adaptive on-line optimal control of bioreactors: application to anaerobic degradation. J Biotechnol 22:89–105es_ES
dc.description.referencesRyhiner GB, Heinzle E, Dunn IJ (1993) Modeling and simulation of anaerobic wastewater treatment and its application to control design: case whey. Biotechnol Progr 9:332–343es_ES
dc.description.referencesSalomoni C, Petazzoni E (2006) Capture de co2 et utilisation dans la digestion de matiere organique en vue de la production de methane. Patent WO 2006108532:A1es_ES
dc.description.referencesSalomoni C, Caputo A, Bonoli M et al (2011) Enhanced methane production in a two-phase anaerobic digestion plant, after CO2 capture and addition to organic wastes. Bioresour Technol 102:6443–6448es_ES
dc.description.referencesSarraguça MC, Paulo A, Alves MM, Dias AMA, Lopes JA, Ferreira EC (2009) Quantitative monitoring of an activated sludge reactor using on-line UV-visible and near-infrared spectroscopy. Anal BioAnal Chem 395:1159–1166es_ES
dc.description.referencesSbarciog M, Loccufier M, Noldus E (2010) Determination of appropriate operating strategies for anaerobic digestion systems. Biochem Eng J 51:180–188es_ES
dc.description.referencesSbarciog M, Moreno JA, Vande Wouwer A (2012) A biogas-based switching control policy for anaerobic digestion systems. In: Vinay K (ed) Advanced control of chemical processes vol 8. Furama Riverfront, Singapore, pp 603–608es_ES
dc.description.referencesScaglia B, Confalonieri R, D’Imporzano G, Adani F (2010) Estimating biogas production of biologically treated municipal solid waste. Bioresour Technol 101:945–952es_ES
dc.description.referencesSchauer-Gimenez AE, Zitomer DH, Maki JS, Struble CA (2010) Bioaugmentation for improved recovery of anaerobic digesters after toxicant exposure. Water Res 44:3555–3564es_ES
dc.description.referencesShanmugam P, Horan NJ (2009) Simple and rapid methods to evaluate methane potential and biomass yield for a range of mixed solid wastes. Bioresour Technol 100:471–474es_ES
dc.description.referencesSilvestre G, Bonmatí A, Fernández B (2015) Optimisation of sewage sludge anaerobic digestion through co-digestion with OFMSW: effect of collection system and particle size. Waste Manag 43:137–143es_ES
dc.description.referencesSimeonov I, Queinnec I (2006) Linearizing control of the anaerobic digestion with addition of acetate (control of the anaerobic digestion). Control Eng Pract 14:799–810es_ES
dc.description.referencesSmith PK, Krohn RI, Hermanson GT et al (1985) Measurement of protein using bicinchoninic acid. Anal Biochem 150:76–85es_ES
dc.description.referencesSmith PJ, Vigneswaran S, Ngo HH, Ben-Aim R, Nguyen H (2006) A new approach to backwash initiation in membrane systems. J Membrane Sci 278:381–389es_ES
dc.description.referencesSpanjers H, van Lier JB (2006) Instrumentation in anaerobic treatment—research and practice. Water Sci Technol 53:63–76es_ES
dc.description.referencesSpanjers H, Bouvier JC, Steenweg P, Bisschops I, van Gils W, Versprille B (2006) Implementation of in-line infrared monitor in full-scale anaerobic digestion process. Water Sci Technol 53:55–61es_ES
dc.description.referencesSpeece RE (2008) Anaerobic biotechnology and odor/corrosion control for municipalities and industries. Archae Press, Nashville, TN, USAes_ES
dc.description.referencesSteyer JP, Rolland D, Bouvier JC, Moletta R (1997) Hybrid fuzzy neural network for diagnosis—application to the anaerobic treatment of wine distillery wastewater in a fluidized bed reactor. Water Sci Technol 36:209–217es_ES
dc.description.referencesSteyer JP, Buffière P, Rolland D, Moletta R (1999) Advanced control of anaerobic digestion processes through disturbances monitoring. Water Res 33:2059–2068es_ES
dc.description.referencesSteyer JP, Bouvier JC, Conte T, Gras P, Harmand J, Delgenes JP (2002) On-line measurements of COD, TOC, VFA, total and partial alkalinity in anaerobic digestion processes using infra-red spectrometry. Water Sci Technol 45:133–138es_ES
dc.description.referencesSteyer JP, Lardon L, Bernard O (2004) Sensors network diagnosis in anaerobic digestion processes using evidence theory. Water Sci Technol 50:21–29es_ES
dc.description.referencesSteyer JP, Bernard O, Batstone DJ, Angelidaki I (2006) Lessons learnt from 15 years of ICA in anaerobic digesters. Water Sci Technol 53:25–33es_ES
dc.description.referencesStrömberg S, Nistor M, Liu J (2015) Early prediction of biochemical methane potential through statistical and kinetic modelling of initial gas production. Bioresour Technol 176:233–241es_ES
dc.description.referencesSundberg C, Al-Soud WA, Larsson M (2013) 454 pyrosequencing analyses of bacterial and archaeal richness in 21 full-scale biogas digesters. FEMS Microbiol Ecol 85:612–626es_ES
dc.description.referencesSzarka N, Scholwin F, Trommler M et al (2013) A novel role for bioenergy: a flexible, demand-oriented power supply. Energy 61:18–26es_ES
dc.description.referencesTafdrup S (1994) Centralized biogas plants combine agricultural and environmental benefits with energy production. Water Sci Technol 30:133–141es_ES
dc.description.referencesTale VP, Maki JS, Struble CA, Zitomer DH (2011) Methanogen community structure-activity relationship and bioaugmentation of overloaded anaerobic digesters. Water Res 45:5249–5256es_ES
dc.description.referencesTartakovsky B, Lishman LA, Legge RL (1996) Application of multi-wavelength fluorometry for monitoring wastewater treatment process dynamics. Water Res 30:2941–2948es_ES
dc.description.referencesTheilliol D, Ponsart JC, Harmand J et al (2003) On-line estimation of unmeasured inputs for anaerobic wastewater treatment processes. Control Eng Pract 11:1007–1019es_ES
dc.description.referencesTriolo JM, Sommer SG, Møller HB, Weisbjerg MR, Jiang XY (2011) A new algorithm to characterize biodegradability of biomass during anaerobic digestion: influence of lignin concentration on methane production potential. Bioresour Technol 102:9395–9402es_ES
dc.description.referencesVal Del Rio MA, Morales N, Isanta E, Mosquera-Corral A, Campos JL, Steyer JP, Carrère H (2011) Thermal pre-treatment of aerobic granules, impact on anaerobic biodegradability. Water Res 45:6011–6020es_ES
dc.description.referencesVan der Zee FP, Villaverde S, García PA, Fdz-Polanco F (2007) Sulfide removal by moderate oxygenation of anaerobic sludge environments. Bioresour Technol 98:518–524es_ES
dc.description.referencesVan Ginkel S, Logan BE (2005) Inhibition of biohydrogen production by undissociated acetic and butyric acids. Environ Sci Technol 39:9351–9356es_ES
dc.description.referencesvan Lier JB (2008) High-rate anaerobic wastewater treatment: diversifying from end-of-the-pipe treatment to resource-oriented conversion techniques. Water Sci Technol 57:1137–1148es_ES
dc.description.referencesVan Soest PJ (1963) Use of detergents in the analysis of fibrous feeds. II. A rapid method for the determination of fiber and lignin. J Assoc Off Anal Chem 46:829–835es_ES
dc.description.referencesVanwonterghem I, Jensen PD, Ho DP et al (2014) Linking microbial community structure, interactions and function in anaerobic digesters using new molecular techniques. Curr Opin Biotechnol 27:55–64es_ES
dc.description.referencesVargas A, Moreno-Andrade I, Buitrón G (2008) Controlled backwashing in a membrane sequencing batch reactor used for toxic wastewater treatment. J Membrane Sci 320:185–190es_ES
dc.description.referencesVarley J, Brown AK, Boyd JWR, Dodd PW, Gallagher S (2004) Dynamic multi-point measurement of foam behaviour for a continuous fermentation over a range of key process variables. Biochem Eng J 20:61–72es_ES
dc.description.referencesVavilin VA, Rytov SV, Lokshina LY (1997) A description of hydrolysis kinetics in anaerobic degradation of particulate organic matter. Bioresour Technol 56:229–237es_ES
dc.description.referencesVerbruggen HB, Bruijn PM (1997) Fuzzy control and conventional control: what is (and can be) the real contribution of Fuzzy Systems? Fuzzy Set Syst 90:151–160es_ES
dc.description.referencesVon Sachs J, Meyer U, Rys P, Feitkenhauer H (2003) New approach to control the methanogenic reactor of a two-phase anaerobic digestion system. Water Res 37:973–982es_ES
dc.description.referencesWaewsak C, Nopharatana A, Chaiprasert P (2010) Neural-fuzzy control system application for monitoring process response and control of anaerobic hybrid reactor in wastewater treatment and biogas production. J Environ Sci 22:1883–1890es_ES
dc.description.referencesWan S, Xi B, Xia X, Li M, Lv D, Wang L, Song C (2012) Using fluorescence excitation-emission matrix spectroscopy to monitor the conversion of organic matter during anaerobic co-digestion of cattle dung and duck manure. Bioresour Technol 123:439–444es_ES
dc.description.referencesWang X, Yang G, Feng Y, Ren G, Han X (2012) Optimizing feeding composition and carbon-nitrogen ratios for improved methane yield during anaerobic co-digestion of dairy, chicken manure and wheat straw. Bioresour Technol 120:78–83es_ES
dc.description.referencesWang X, Yang G, Li F, Feng Y, Ren G, Han X (2013a) Evaluation of two statistical methods for optimizing the feeding composition in anaerobic co-digestion: mixture design and central composite design. Bioresour Technol 131:172–178es_ES
dc.description.referencesWang W, Xie L, Luo G et al (2013b) Performance and microbial community analysis of the anaerobic reactor with coke oven gas biomethanation and in situ biogas upgrading. Bioresour Technol 146:234–239es_ES
dc.description.referencesWard AJ, Bruni E, Lykkegaard MK, Feilberg A, Adamsen APS, Jensen AP, Poulsen AK (2011) Real time monitoring of a biogas digester with gas chromatography, near-infrared spectroscopy, and membrane-inlet mass spectrometry. Bioresour Technol 102:4098–4103es_ES
dc.description.referencesWard AJ, Lewis DM, Green FB (2014) Anaerobic digestion of algae biomass: a review. Algal Res 5:204–214es_ES
dc.description.referencesWijekoon KC, Visvanathan C, Abeynayaka A (2011) Effect of organic loading rate on VFA production, organic matter removal and microbial activity of a two-stage thermophilic anaerobic membrane bioreactor. Bioresour Technol 102:5353–5360es_ES
dc.description.referencesWolf C, Gaida D, Stuhlsatz A, Ludwig T, McLoone S, Bongards M (2013) Predicting organic acid concentration from UV/vis spectrometry measurements—a comparison of machine learning techniques. T I Meas Control 35:5–15es_ES
dc.description.referencesWolf C, Gaida D, Bongards M (2014) Online monitoring of AD processes using a fully automated, low maintenance middle-infrared (MIR) measurement system. Conf Proc Int Sci Conf Biogas Sci 2014:24–25es_ES
dc.description.referencesXiong Y, Mehrdad S (2003) Unknown disturbance inputs estimation based on a state functional observer design. Automatica 39:1389–1398es_ES
dc.description.referencesYasui H, Sugimoto M, Komatsu K, Goel R, Li YY, Noike T (2006) An approach for substrate mapping between ASM and ADM1 for sludge digestion. Water Sci Technol 54:83–92es_ES
dc.description.referencesYasui H, Goel R, Li YY, Noike T (2008) Modified ADM1 structure for modelling municipal primary sludge hydrolysis. Water Res 42:249–259es_ES
dc.description.referencesZadeh LA (1965) Fuzzy sets. Inf Control 8:338–353es_ES
dc.description.referencesZhang ML, Sheng GP, Mu Y, Li WH, Yu HQ, Harada H, Li YY (2009) Rapid and accurate determination of VFAs and ethanol in the effluent of an anaerobic H2-producing bioreactor using near-infrared spectroscopy. Water Res 43:1823–1830es_ES
dc.description.referencesZhou H, Li H, Wang F (2012) Anaerobic digestion of different organic wastes for biogas production and its operational control performed by the modified ADM1. J Environ Sci Health A Toxic Hazard Subst Environ Eng 47:84–92es_ES
dc.description.referencesZumbusch PV, Meyer-Jens T, Brunner G, Märkl H (1994) On-line monitoring of organic substances with high-pressure liquid chromatography (HPLC) during the anaerobic fermentation of waste-water. Appl Microbiol Biotechnol 42:140–146es_ES
dc.description.sponsorshipThe authors acknowledge the financial support of INRA (the French National Institute for Agricultural Research), the French National Research Agency (ANR) for the "Phycover" project (project ANR-14-CE04-0011) and ADEME for Inter-laboratory assay financial support.
dc.description.upvformatpfin648es_ES
dc.description.upvformatpinicio615es_ES
dc.description.volume14es_ES
dc.identifier.doi10.1007/s11157-015-9382-6
dc.identifier.issn1569-1705
dc.identifier.urihttps://riunet.upv.es/handle/10251/78177
dc.languageIngléses_ES
dc.publisherSpringer Verlag (Germany)es_ES
dc.relation.ispartofReviews in Environmental Science and Biotechnologyes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ANR//ANR-14-CE04-0011 /FR/Sustainable microalgal production by recycling phosphorus and nitrogen from wastewaters : toward a next generation of sewage treatment plant/Phycover/es_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s11157-015-9382-6es_ES
dc.relation.references10.1016/j.ijhydene.2010.02.110es_ES
dc.relation.references10.1016/j.envsoft.2005.03.004es_ES
dc.relation.references10.1016/j.jprocont.2009.04.003es_ES
dc.relation.references10.2166/wst.1992.0163es_ES
dc.relation.references10.1016/j.rser.2015.04.121es_ES
dc.relation.references10.2166/wst.2005.0552es_ES
dc.relation.references10.1016/j.crvi.2004.11.008es_ES
dc.relation.references10.2166/wst.2010.093es_ES
dc.relation.references10.2166/wst.2008.104es_ES
dc.relation.references10.3155/1047-3289.58.1.95es_ES
dc.relation.references10.1016/j.biortech.2009.09.061es_ES
dc.relation.references10.1002/jctb.609es_ES
dc.relation.references10.2175/WER.64.1.8es_ES
dc.relation.references10.1007/s11157-004-2502-3es_ES
dc.relation.references10.1002/9780470027318.a9376es_ES
dc.relation.references10.1016/S0009-2509(01)00123-3es_ES
dc.relation.references10.1016/j.pecs.2008.06.002es_ES
dc.relation.references10.1021/es1037113es_ES
dc.relation.references10.1080/09593330802015508es_ES
dc.relation.references10.1016/j.watres.2013.07.019es_ES
dc.relation.references10.1016/j.jbiotec.2013.05.004es_ES
dc.relation.references10.1016/S0255-2701(98)00070-1es_ES
dc.relation.references10.2166/wst.2013.004es_ES
dc.relation.references10.2166/wst.2002.0292es_ES
dc.relation.references10.1002/bit.22163es_ES
dc.relation.references10.2166/wst.2012.300es_ES
dc.relation.references10.1109/TAC.1986.1104100es_ES
dc.relation.references10.1109/MED.2012.6265665es_ES
dc.relation.references10.1016/j.jprocont.2011.07.012es_ES
dc.relation.references10.1016/j.jprocont.2003.12.006es_ES
dc.relation.references10.1002/bit.10036es_ES
dc.relation.references10.2166/wst.2001.0418es_ES
dc.relation.references10.2166/wst.2006.010es_ES
dc.relation.references10.2166/wst.2005.0553es_ES
dc.relation.references10.1002/1097-0290(20010405)73:1<35::AID-BIT1034>3.0.CO;2-Hes_ES
dc.relation.references10.1016/S0043-1354(00)00585-6es_ES
dc.relation.references10.1002/bit.21131es_ES
dc.relation.references10.2166/wst.2008.046es_ES
dc.relation.references10.1016/j.watres.2010.07.043es_ES
dc.relation.references10.1016/0003-2697(76)90527-3es_ES
dc.relation.references10.1023/A:1021484002582es_ES
dc.relation.references10.1016/j.watres.2008.06.027es_ES
dc.relation.references10.2166/wst.2006.254es_ES
dc.relation.references10.1016/j.rser.2011.12.014es_ES
dc.relation.references10.1016/j.copbio.2015.01.008es_ES
dc.relation.references10.3182/20070604-3-MX-2914.00014es_ES
dc.relation.references10.3182/20100707-3-BE-2012.0065es_ES
dc.relation.references10.1080/00207729008910416es_ES
dc.relation.references10.1016/j.biortech.2007.01.057es_ES
dc.relation.references10.1016/0961-9534(93)90010-2es_ES
dc.relation.references10.1007/s11157-008-9128-9es_ES
dc.relation.references10.1263/jbb.103.229es_ES
dc.relation.references10.1002/(SICI)1097-0290(19971220)56:6<626::AID-BIT5>3.0.CO;2-Pes_ES
dc.relation.references10.1016/j.wasman.2007.01.014es_ES
dc.relation.references10.1016/j.biortech.2010.01.056es_ES
dc.relation.references10.1016/j.wasman.2006.02.013es_ES
dc.relation.references10.2166/wst.2000.0082es_ES
dc.relation.references10.2166/wst.2008.078es_ES
dc.relation.references10.1016/j.watres.2009.07.014es_ES
dc.relation.references10.1111/1751-7915.12025es_ES
dc.relation.references10.1016/j.jprocont.2003.10.006es_ES
dc.relation.references10.1016/j.biortech.2015.02.114es_ES
dc.relation.references10.1016/S0959-1524(03)00026-Xes_ES
dc.relation.references10.1016/S0098-1354(96)00370-5es_ES
dc.relation.references10.1016/j.matcom.2010.10.022es_ES
dc.relation.references10.1016/j.bej.2010.11.007es_ES
dc.relation.references10.1016/j.biortech.2012.10.044es_ES
dc.relation.references10.1021/ac60111a017es_ES
dc.relation.references10.1016/j.watres.2006.08.014es_ES
dc.relation.references10.1111/j.1745-4581.2007.00108.xes_ES
dc.relation.references10.2166/wst.2009.738es_ES
dc.relation.references10.1016/S0043-1354(01)00189-0es_ES
dc.relation.references10.1016/j.biortech.2014.02.010es_ES
dc.relation.references10.1016/j.biortech.2008.01.008es_ES
dc.relation.references10.1016/j.jhazmat.2009.10.071es_ES
dc.relation.references10.1007/s00449-011-0572-5es_ES
dc.relation.references10.1093/ajcp/53.1.89es_ES
dc.relation.references10.1016/0043-1354(95)00323-1es_ES
dc.relation.references10.2166/wst.2012.286es_ES
dc.relation.references10.1016/j.biortech.2012.12.119es_ES
dc.relation.references10.1016/j.procbio.2010.12.015es_ES
dc.relation.references10.1016/j.wasman.2014.10.012es_ES
dc.relation.references10.1137/S0363012991221791es_ES
dc.relation.references10.1109/9.256352es_ES
dc.relation.references10.1016/j.jhazmat.2011.01.032es_ES
dc.relation.references10.1016/S0304-3800(00)00279-9es_ES
dc.relation.references10.1016/j.watres.2007.06.019es_ES
dc.relation.references10.1016/j.automatica.2004.01.002es_ES
dc.relation.references10.1016/j.biortech.2006.05.014es_ES
dc.relation.references10.1016/j.biortech.2009.02.005es_ES
dc.relation.references10.1016/S0043-1354(97)00016-Xes_ES
dc.relation.references10.1016/j.biortech.2011.04.051es_ES
dc.relation.references10.1016/B978-012470100-7/50029-7es_ES
dc.relation.references10.2166/wst.1993.0292es_ES
dc.relation.references10.1016/0043-1354(93)90208-Yes_ES
dc.relation.references10.2166/wst.1994.0571es_ES
dc.relation.references10.1016/j.jhazmat.2011.03.047es_ES
dc.relation.references10.1002/(SICI)1099-1115(199705)11:3<171::AID-ACS428>3.0.CO;2-#es_ES
dc.relation.references10.1016/S0141-4607(85)80008-1es_ES
dc.relation.references10.1002/1097-0290(20001105)70:3<358::AID-BIT14>3.0.CO;2-Tes_ES
dc.relation.references10.1002/bit.21571es_ES
dc.relation.references10.1016/S0043-1354(01)00487-0es_ES
dc.relation.references10.1002/jctb.854es_ES
dc.relation.references10.1016/j.desal.2010.05.037es_ES
dc.relation.references10.2166/wst.2006.537es_ES
dc.relation.references10.1109/CDC.1983.269813es_ES
dc.relation.references10.1016/S0273-1223(98)00367-9es_ES
dc.relation.references10.1016/j.jprocont.2007.06.001es_ES
dc.relation.references10.1007/978-3-662-02581-9es_ES
dc.relation.references10.2166/wst.2009.345es_ES
dc.relation.references10.1016/j.biortech.2011.10.012es_ES
dc.relation.references10.2166/wst.2009.354es_ES
dc.relation.references10.1016/j.bej.2005.11.017es_ES
dc.relation.references10.1016/j.biortech.2009.05.018es_ES
dc.relation.references10.1016/j.watres.2012.11.052es_ES
dc.relation.references10.1016/j.watres.2013.10.048es_ES
dc.relation.references10.1016/j.biombioe.2014.10.023es_ES
dc.relation.references10.1016/j.biortech.2015.04.001es_ES
dc.relation.references10.1016/j.bios.2013.02.033es_ES
dc.relation.references10.1177/0734242X9501300203es_ES
dc.relation.references10.1007/BF01338151es_ES
dc.relation.references10.2166/wst.2006.538es_ES
dc.relation.references10.1016/j.copbio.2013.11.006es_ES
dc.relation.references10.1016/j.biombioe.2012.10.027es_ES
dc.relation.references10.1016/S0959-1524(96)00006-6es_ES
dc.relation.references10.1016/j.biortech.2010.10.035es_ES
dc.relation.references10.1016/j.compchemeng.2015.01.018es_ES
dc.relation.references10.1016/j.pecs.2013.03.003es_ES
dc.relation.references10.1016/j.procbio.2009.11.018es_ES
dc.relation.references10.1016/j.biortech.2010.10.044es_ES
dc.relation.references10.1002/bit.25358es_ES
dc.relation.references10.1016/j.biortech.2013.03.093es_ES
dc.relation.references10.2166/wst.2004.0687es_ES
dc.relation.references10.1002/bit.20088es_ES
dc.relation.references10.2166/wst.2006.108es_ES
dc.relation.references10.1016/j.biortech.2013.07.096es_ES
dc.relation.references10.1007/s00253-012-4547-5es_ES
dc.relation.references10.1002/bit.24360es_ES
dc.relation.references10.1016/j.rser.2011.04.026es_ES
dc.relation.references10.1016/j.automatica.2004.01.030es_ES
dc.relation.references10.3182/20140824-6-ZA-1003.02193es_ES
dc.relation.references10.1117/12.2053567es_ES
dc.relation.references10.1016/j.jprocont.2003.12.002es_ES
dc.relation.references10.1016/S0959-1524(03)00070-2es_ES
dc.relation.references10.1016/0304-3800(94)00125-1es_ES
dc.relation.references10.1016/j.biortech.2012.11.102es_ES
dc.relation.references10.1016/S0960-8524(00)00023-7es_ES
dc.relation.references10.3109/07388551.2010.525496es_ES
dc.relation.references10.1016/j.rser.2014.04.039es_ES
dc.relation.references10.2166/wst.1992.0142es_ES
dc.relation.references10.1016/0043-1354(91)90030-Tes_ES
dc.relation.references10.2175/WER.65.5.8es_ES
dc.relation.references10.1016/S0043-1354(00)00438-3es_ES
dc.relation.references10.2166/wst.2012.622es_ES
dc.relation.references10.1021/ie030298ces_ES
dc.relation.references10.1016/j.compchemeng.2005.01.005es_ES
dc.relation.references10.1021/ie800256ees_ES
dc.relation.references10.1016/j.jprocont.2010.01.006es_ES
dc.relation.references10.1016/j.biortech.2011.05.053es_ES
dc.relation.references10.1115/1.3153059es_ES
dc.relation.references10.1016/j.apenergy.2014.12.069es_ES
dc.relation.references10.1016/j.automatica.2008.07.006es_ES
dc.relation.references10.2166/wst.1983.0168es_ES
dc.relation.references10.1016/j.indcrop.2013.11.038es_ES
dc.relation.references10.1016/j.cej.2010.03.059es_ES
dc.relation.references10.1016/j.cej.2013.05.082es_ES
dc.relation.references10.1021/ie060853les_ES
dc.relation.references10.1016/S0043-1354(01)00186-5es_ES
dc.relation.references10.1021/ja01371a044es_ES
dc.relation.references10.1109/ICSENS.2010.5690856es_ES
dc.relation.references10.1016/j.biortech.2014.09.052es_ES
dc.relation.references10.1016/j.psep.2015.02.002es_ES
dc.relation.references10.1016/S0032-9592(98)00018-1es_ES
dc.relation.references10.1016/S0273-1223(98)00382-5es_ES
dc.relation.references10.2166/wst.2014.057es_ES
dc.relation.references10.1016/0043-1354(79)90043-5es_ES
dc.relation.references10.1016/j.biortech.2009.10.017es_ES
dc.relation.references10.1016/j.watres.2007.01.031es_ES
dc.relation.references10.1016/j.watres.2008.05.014es_ES
dc.relation.references10.1016/j.desal.2009.09.140es_ES
dc.relation.references10.1016/0961-9534(93)90084-Hes_ES
dc.relation.references10.1016/S0967-0661(99)00164-1es_ES
dc.relation.references10.1002/bit.10490es_ES
dc.relation.references10.1016/j.jbiotec.2012.02.001es_ES
dc.relation.references10.1016/j.wasman.2013.12.001es_ES
dc.relation.references10.1007/BF02922587es_ES
dc.relation.references10.1002/(SICI)1097-0290(19980405)58:1<13::AID-BIT2>3.0.CO;2-Xes_ES
dc.relation.references10.2166/wst.2003.0368es_ES
dc.relation.references10.1016/j.watres.2014.05.020es_ES
dc.relation.references10.1016/j.watres.2009.03.034es_ES
dc.relation.references10.1016/j.mbs.2004.07.004es_ES
dc.relation.references10.1016/S0959-1524(01)00029-4es_ES
dc.relation.references10.1007/s00285-014-0814-7es_ES
dc.relation.references10.1016/j.rser.2011.09.008es_ES
dc.relation.references10.1016/j.trac.2013.07.007es_ES
dc.relation.references10.1016/j.watres.2007.11.011es_ES
dc.relation.references10.1016/0043-1354(94)90261-5es_ES
dc.relation.references10.1016/j.biortech.2015.03.150es_ES
dc.relation.references10.1002/bit.260310402es_ES
dc.relation.references10.1016/S0043-1354(97)00015-8es_ES
dc.relation.references10.1016/j.memsci.2012.11.078es_ES
dc.relation.references10.1016/j.memsci.2014.04.012es_ES
dc.relation.references10.1080/09593330.2015.1012180es_ES
dc.relation.references10.1016/0168-1656(92)90134-Ues_ES
dc.relation.references10.1021/bp00021a013es_ES
dc.relation.references10.1016/j.biortech.2011.03.079es_ES
dc.relation.references10.1007/s00216-009-3042-zes_ES
dc.relation.references10.1016/j.bej.2010.06.016es_ES
dc.relation.references10.1016/j.biortech.2009.08.085es_ES
dc.relation.references10.1016/j.watres.2010.03.037es_ES
dc.relation.references10.1016/j.biortech.2008.06.027es_ES
dc.relation.references10.1016/j.wasman.2015.06.029es_ES
dc.relation.references10.1016/j.conengprac.2005.04.011es_ES
dc.relation.references10.1016/0003-2697(85)90442-7es_ES
dc.relation.references10.1016/j.memsci.2005.11.024es_ES
dc.relation.references10.2166/wst.2006.111es_ES
dc.relation.references10.2166/wst.2006.110es_ES
dc.relation.references10.1016/S0273-1223(97)00525-8es_ES
dc.relation.references10.1016/S0043-1354(98)00430-8es_ES
dc.relation.references10.2166/wst.2002.0310es_ES
dc.relation.references10.2166/wst.2004.0667es_ES
dc.relation.references10.2166/wst.2006.107es_ES
dc.relation.references10.1016/j.biortech.2014.11.033es_ES
dc.relation.references10.1111/1574-6941.12148es_ES
dc.relation.references10.1016/j.energy.2012.12.053es_ES
dc.relation.references10.2166/wst.1994.0597es_ES
dc.relation.references10.1016/j.watres.2011.07.035es_ES
dc.relation.references10.1016/S0043-1354(96)00196-0es_ES
dc.relation.references10.1016/S0967-0661(02)00230-7es_ES
dc.relation.references10.1016/j.biortech.2011.07.026es_ES
dc.relation.references10.1016/j.watres.2011.08.050es_ES
dc.relation.references10.1016/j.biortech.2006.02.011es_ES
dc.relation.references10.1021/es0510515es_ES
dc.relation.references10.2166/wst.2008.040es_ES
dc.relation.references10.1016/j.copbio.2013.11.004es_ES
dc.relation.references10.1016/j.memsci.2008.03.073es_ES
dc.relation.references10.1016/j.bej.2004.02.012es_ES
dc.relation.references10.1016/0960-8524(96)00034-Xes_ES
dc.relation.references10.1016/S0165-0114(97)00081-Xes_ES
dc.relation.references10.1016/S0043-1354(02)00446-3es_ES
dc.relation.references10.1016/S1001-0742(09)60334-Xes_ES
dc.relation.references10.1016/j.biortech.2012.04.001es_ES
dc.relation.references10.1016/j.biortech.2012.06.058es_ES
dc.relation.references10.1016/j.biortech.2012.12.174es_ES
dc.relation.references10.1016/j.biortech.2013.07.049es_ES
dc.relation.references10.1016/j.biortech.2010.12.052es_ES
dc.relation.references10.1016/j.algal.2014.02.001es_ES
dc.relation.references10.1016/j.biortech.2010.12.081es_ES
dc.relation.references10.1177/0142331211403797es_ES
dc.relation.references10.1016/S0005-1098(03)00087-6es_ES
dc.relation.references10.2166/wst.2006.529es_ES
dc.relation.references10.1016/j.watres.2007.07.004es_ES
dc.relation.references10.1016/S0019-9958(65)90241-Xes_ES
dc.relation.references10.1016/j.watres.2009.01.018es_ES
dc.relation.references10.1080/10934529.2012.629585es_ES
dc.relation.references10.1007/BF00170237es_ES
dc.relation.senia301406es_ES
dc.rightsReserva de todos los derechoses_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectAnaerobic digestiones_ES
dc.subjectOrganic matteres_ES
dc.subjectCharacterizationes_ES
dc.subjectInstrumentationes_ES
dc.subjectControles_ES
dc.subjectDiagnosis,es_ES
dc.subject.classificationINGENIERIA HIDRAULICAes_ES
dc.subject.classificationTECNOLOGIA DEL MEDIO AMBIENTEes_ES
dc.titleInstrumentation and control of anaerobic digestion processes: a review and some research challengeses_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
upv.uuid70c2e7b7-4c1a-4e25-9356-a896707366bces_ES

Archivos

Bloque original

Mostrando 1 - 2 de 2
Miniatura
Nombre:
Instrumentation and control of anaerobic digestion processes.pdf
Tamaño:
726.83 KB
Formato:
Adobe Portable Document Format
Descripción:
Versión del Autor.
[object Object] Descargar
Miniatura
Nombre:
Instrumentation and control of anaerobic digestion processes_ a review and some research challenges - art%3A10.1007%2Fs11157-015-9382-6.pdf
Tamaño:
8.71 MB
Formato:
Adobe Portable Document Format
Descripción:
Versión editorial
Descargar

Colecciones

Artículos, conferencias, monografías