Ozyildiz G.; Zengin G.E.; Güven D.; Cokgor E.; Özdemir Ö.; Hauduc H.; Takács I.; Insel G. (2023): Restructuring anaerobic hydrolysis kinetics in plant-wide models for accurate prediction of biogas production. Water Research, 245, 120620.
Bencsik D.; Takács I.; Rosso D. (2022): Dynamic alpha factors: Prediction in time and evolution along reactors. Water Research, 216, 118339. Open Access
Hauduc H.; Wadhawan T.; Johnson B.; Bott C.; Ward M.; Takács I. (2019): Incorporating sulfur reactions and interactions with iron and phosphorus into a general plant-wide model. Water Science & Technology, 79(1), 26–34. Open Access
Hauduc H.; Al-Omari A.; Wett B.; Jimenez J.; De Clippeleir H.; Rahman A.; Wadhawan T.; Takács I. (2019): Colloids, flocculation and carbon capture – a comprehensive plant-wide model. Water Science & Technology, 79(1), 15–25. Open Access
Varga E.; Hauduc H.; Barnard J.; Dunlap P.; Jimenez J.; Menniti A.; Schauer P.; Lopez Vazquez C.M.; Gu A.Z.; Sperandio M.; Takács I. (2018): Recent advances in bio-P modelling – a new approach verified by full-scale observations. Water Science & Technology, 78(10), 2119–2130. Open Access
Hauduc H.; Takács I.; Smith S.; Szabó A.; Murthy S.; Daigger G.; Spérandio M. (2015): A dynamic physicochemical model for chemical phosphorus removal. Water Research, 73, 157-170.
Boltz J.P.; Johnson B.R.; Takács I.; Daigger G.T.; Morgenroth E.; Brockmann D.; Kovács R.; Calhoun J.M.; Choubert J-M; Derlon N. (2017): Biofilm carrier migration model describes reactor performance. Water Science & Technology, 75(12), 2818-2828.
Nogaj T.M.; Randall A.A.; Jimenez J.A.; Takács I.; Bott C.B.; Miller M.W.; Murthy S.; Wett B. (2015): Modeling of organic substrate transformation in the high-rate activated sludge process. Water Science & Technology, 71(7), 971–979.
Conference papers
Sabba F.; Calhoun J.; Johnson B.R.; Daigger G.T.; Kovács R.; Takács I.; Boltz J. (2017): Applications of Mobile Carrier Biofilm Modelling for Wastewater Treatment Processes. Frontiers International Conference on Wastewater Treatment and Modelling.
Nogaj T.M.; Randall A.A.; Jimenez J.A.; Takács I.; Bott C.B.; Miller M.W.; Murthy S.; Wett B. (2013): Mathematical Modeling of Carbon Removal in the High-Rate Activated Sludge System: Model Presentation and Application. WEFTEC 2013.
Kovács R.; Takács I.; Benke J.D. (2013): Facilitating biofilm reactor modelling with an easy-to-use spreadsheet-based tool designed for process engineers. IWA Biofilm Conference, Paris, France, 2013.
Sabba F.; Farmer McK.; Jia Z.; Di Capua F.; Dunlap P.; Barnard J.; Qin C.D.; Kozak J.A.; Wells G.; Downing L. (2023): Impact of operational strategies on a sidestream enhanced biological phosphorus removal (S2EBPR) reactor in a carbon limited wastewater plan. Science of the Total Environment.
Croll H.C.; Ikuma K.; Ong S.K.; Sarkar S. (2023): Systematic Performance Evaluation of Reinforcement Learning Algorithms Applied to Wastewater Treatment Control Optimization. Environmental Science and Technology.
Bencsik D. (2023): Model-Based Strategies for Managing Extreme Weather-Related Emergencies at Wastewater Treatment Plants. Műszaki Katonai Közlöny, 33(1), 67-83. Open Access
Insel G.; Yilmaz G.; Házi F.; Artan N. (2023): Model-based evaluation of simultaneous nitrification and denitrification in aerobic granular sludge systems. Environmental Science and Pollution Research, 30.
Yang C.; Houweling D.; He Huanqi.; Daigger G.T. (2022): Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors. Water Science & Technology, 86(9), 2270–2287. Open Access
Derlon N.; Villodres M.G.; Kovács R.; Brison A.; Layer M.; Takács I.; Morgenroth E. (2022): Modelling of aerobic granular sludge reactors: the importance of hydrodynamic regimes, selective sludge removal and gradients. Water Science & Technology, 86(3), 410-431. Open Access
Abulimiti A.; Wang X.; Kang J.; Li L.; Wu D.; Li Z.; Piao Y.; Ren N. (2022): The trade-off between N2O emission and energy saving through aeration control based on dynamic simulation of full-scale WWTP. Water Research, 223, 118961.
Insel G.; Ozyildiz G.; Okutman-Tas D.; Guven D.; Emel Zengin G.; Pala-Ozkok I.; Sagir Kurt E.; Atli E.; Artan N.; Takács I.; Cokgor E. (2022): A comprehensive evaluation of process kinetics: A plant-wide approach for nutrient removal and biogas production. Water Research, 217, 118410.
Acevedo Alonso V.; Kaiser T.; Babist R.; Fundneider T.; Lackner S. (2021): A multi-component model for granular activated carbon filters combining biofilm and adsorption kinetics. Water Research, 197, 117079.
Ngo K.M.; Van Winckel T.; Massoudieh A.; Wett B.; Al-Omari A.; Murthy S.; Takács I.; De Clippeleir H. (2021): Towards more predictive clarification models via experimental determination of flocculent settling coefficient value. Water Research, 190, 116294.
Liang J.; Yuan Y.; Zhang Z.; You S.; Yuan Y. (2021): Modeling a Three-Stage Biological Trickling Filter Based on the A2O Process for Sewage Treatment. Water, 13(9), 1152. Open Access
Layer M.; Villodres M.G.; Hernandez A.; Reynaert E.; Morgenroth E.; Derlon N. (2020): Limited simultaneous nitrification-denitrification (SND) in aerobic granular sludge systems treating municipal wastewater: Mechanisms and practical implications. Water Research X, 7, 100048.
Li B.; Romero A.; Wadhawan T.; Tobin M.; Manning E.; Higgins M.; Al-Omari A.; Murthy S.; Riffat R.; De Clippeleir H. (2020): Recuperative thickening for sludge retention time and throughput management in anaerobic digestion with thermal hydrolysis pretreatment. Water Environment Research, 92(3), 465-477.
Bazemo U.; Gardner E.; Romero A.; Hauduc H.; Al-Omari A.; Takács I.; Murthy S.; Torrents A.; De Clippeleir H. (2020): Investigating the dynamics of volatile sulfur compound emission from primary systems at a water resource recovery facility. Water Environment Research, 93(2), 316-327.
Seco A.; Ruano M.V.; Ruiz-Martinez A.; Robles A.; Barat R.; Serralta J.; Ferrer J. (2020): Plant-wide modelling in wastewater treatment: showcasing experiences using the Biological Nutrient Removal Model. Water Science & Technology 81(8), 1700–1714. Open Access
Oda K.S.; Nilsen P.J.; Solheim O.E.; Westereng B.; Horn S.J. (2020): Quantification of soluble recalcitrant compounds in commercial thermal hydrolysis digestates. Water Environment Research, 92(11), 1948-1955. Open Access
Tao C.; Hamouda M.A. (2019): Steady-state modeling and evaluation of partial nitrification-anammox (PNA) for moving bed biofilm reactor and integrated fixed-film activated sludge processes treating municipal wastewater. Journal of Water Process Engineering, 31, 100854.
Gazsó Z.; Házi F.; Kenyeres I.; Váci L. (2017): Full-scale wastewater treatment plant simulation for real-time optimization. Water Practice and Technology, 12(4), 848–856.
De Faria A.B.B.; Ahmadi A.; Tiruta-Barna L.; Spérandio M. (2016): Feasibility of rigorous multi-objective optimization of wastewater management and treatment plants. Chemical Engineering Research and Design, 115(B), 394-406.
Aichinger P.; Wadhawan T.; Kuprian M.; Higgins M.; Ebner C.; Fimml C.; Murthy S.; Wett B. (2015): Synergistic co-digestion of solid-organic-waste and municipal-sewage-sludge: 1 plus 1 equals more than 2 in terms of biogas production and solids reduction. Water Research, 87, 416-423.
Conference papers
Nishida S.; Ohtsuki T. (2021): Coupling of Modelica and Biochemical Simulator, SUMO, by Using C-API. Proceedings of the Asian Modelica Conference, Oct 08-09, 2020, Tokyo, Japan.
Ndeba-Nganongo L.A.N.; Ntwampe S.K.O.; Szabolcs S.; Itomba-Tombo E.F. (2018): The Application of ADM/ASM Interface in Sumo Plant Wide Model. 10th International Conference on Advances in Science, Engineering, Technology & Healthcare. Open Access
Besson M.; Tiruta-Barna L.; Spérandio M. (2017): Environmental Assessment of Anammox Process in Mainstream with WWTP Modeling Coupled to Life Cycle Assessment. Frontiers International Conference on Wastewater Treatment and Modelling.
Kolovos A.; Kjorlaug O.; Nilsen, P.J. (2016): Development and assessment of a model for Cambi's SolidStream process using 'SUMO' WWTP simulation software. 21st European Biosolids and Organic Resources Conference. Open Access
Wett B.; Al-Omari A.; Bowden G.; Stinson B.; Szilágyi N.; Takács I.; Jimenez J.; De Clippeleir H.; De Barbadillo C.; Murthy S.; Bailey W. (2015): How short should the SRT be? – Investigation of parallel vs series C- and N-removal processes at the Blue Plains AWTP. WEFTEC 2015.
De Clippeleir et al. (2014): Estimation of apparent nitrification kinetics as the key for reliable greenhouse gas emission prediction. WWTmod 2014.
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