Documentation

Our Wiki pages

SUMO wiki

sumo wiki

  • Up-to-date documentation is now available on the SUMO Wiki page
DYNAMIZU wiki

dynamizu wiki

  • Up-to-date documentation is now available on the DYNAMIZU Wiki page
SUMO wiki

sumo wiki

  • Up-to-date documentation is now available on the SUMO Wiki page

DYNAMIZU wiki

dynamizu wiki

  • Up-to-date documentation is now available on the DYNAMIZU Wiki page

Please write to us at for further information

Short video tutorials

Webinars

Scientific papers

Looking to cite SUMO in your paper? Here's how to cite us: Dynamita, dynamita.com (year)

Model Descriptions

    Journal papers
  • 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.

Applications of SUMO

    Journal papers
  • Yun-Peng Song; Li-Li Du; Bao-Gui Wang; Ling-Min Zhang; Hong-Yong Lin; Fang Ma; Yu Bai; Ai-Jie Wang; Hong-Cheng Wang; Nan-Qi Ren. (2025): Flexible Carbon Source Regulation for Mitigating Greenhouse Gas Emissions in Full-Scale Wastewater Treatment. Environmental Science and Technology.
  • 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.