Modelling & Integrated Assessment

Recent Publications

Pandemic paper

Published in Water Environment Research (Water Environ Res. 2021;1–10. ): Digital solutions for continued operation of WRRFs during pandemics and other interruptions

  • Authors:
    • Arifur Rahman
    • Evangelia Belia
    • Gamze Kirim
    • Mahmudul Hasan
    • Sina Borzooei
    • Domenico Santoro
    • Bruce Johnson
  • Link
Digital Water

Published on March 10, 2021: Operational digital twins in the urban water sector: case studies

  • Authors:
    • Borja Valverde-Pérez
    • Bruce Johnson
    • Christoffer Wärff
    • Douglas Lumley
    • Elena Torfs
    • Ingmar Nopens
    • Lloyd Townley
  • Link
For your interest:

Top 10 cited IWA Publishing papers on modelling and simulation in the last 4 years (2017 and beyond)

  • Laureni M., Weissbrodt D.G., Villez K., Robin O., de Jonge N., Rosenthal A., Wells G., Nielsen J.L., Morgenroth E., Joss A. 2019. Biomass segregation between biofilm and flocs improves the control of nitrite-oxidizing bacteria in mainstream partial nitritation and anammox processes, Water Research, 154: 104-116 (DOI: 10.1016/j.watres.2018.12.051)
  • Meng F., Fu G., Farmani R., Sweetapple C., Butler D. 2018. Topological attributes of network resilience: A study in water distribution systems, Water Research, 143: 376-386 (DOI: 10.1016/j.watres.2018.06.048)
  • Arnell M., Rahmberg M., Oliveira F., Jeppsson U. 2017. Multi-objective performance assessment of wastewater treatment plants combining plant-wide process models and life cycle assessment, Journal of Water and Climate Change, 8 (4): 715–729 (DOI: 10.2166/wcc.2017.179).
  • Sabba F., Picioreanu C., Boltz J.P., Nerenberg R. 2017. Predicting N2O emissions from nitrifying and denitrifying biofilms: A modeling study, Water Sci Technol, 75 (3): 530–538 (DOI: 10.2166/wst.2016.484).
  • Nourani V., Elkiran G., Abba S.I. 2018. Wastewater treatment plant performance analysis using artificial intelligence – An ensemble approach. Water Sci Technol 78 (10): 2064–2076 (DOI: 10.2166/wst.2018.477).
  • Picioreanu C., Blauert F., Horn H., Wagner M. 2018. Determination of mechanical properties of biofilms by modelling the deformation measured using optical coherence tomography. Water Research, 145: 588-598 (DOI: 10.1016/j.watres.2018.08.070).
  • Zischg J., Zeisl P., Winkler D., Rauch W., Sitzenfrei R. 2018. On the sensitivity of geospatial low impact development locations to the centralized sewer network. Water Sci Technol 77 (7): 1851–1860. (DOI: 10.2166/wst.2018.060)
  • Rehman U., Audenaert W., Amerlinck Y., Maere T., Arnaldos M., Nopens I. 2017. How well-mixed is well mixed? Hydrodynamic-biokinetic model integration in an aerated tank of a full-scale water resource recovery facility. Water Sci Technol 76 (8): 1950–1965 (DOI: 10.2166/wst.2017.330).
  • Schraa O., Rieger L., Alex J. 2017. Development of a model for activated sludge aeration systems: Linking air supply, distribution, and demand. Water Sci Technol 75 (3): 552–560.
  • Shoener B.D., Schramm S.M., Béline F., Bernard O., Martínez C., Plósz B.G., Snowling S., Steyer J.-P., Valverde-Pérez B., Wágner D., Guest J.S. 2019. Microalgae and cyanobacteria modeling in water resource recovery facilities: A critical review. Water Research X, 2:100024 (DOI: 10.1016/j.wroa.2018.100024)
Books
Innovative Wastewater Treatment & Resource Recovery Technologies: Impacts on Energy, Economy and Environment

Edited by Juan M. Lema and Sonia Suarez Martinez, this book is one of the outcomes to the EU COST Action Water 2020, to which several MIA members participated.

For more details, visit the IWA bookstore.

Articles in scientific journals
2020
  • Martin C., Kamara O., Berzosa I., Badiola J.L. (2020), “Smart GIS platform that facilitates the digitalization of the integrated urban drainage system”. Environmental Modelling and Software, vol. 123, pp. 104-568. https://doi.org/10.1016/j.envsoft.2019.104568
  • Capson-Tojo G., Moscoviz R., Astals S., Robles A., Steyer J.-P. (2020), “Unraveling the literature chaos around free ammonia inhibition in anaerobic digestion”. Renewable and Sustainable Energy Reviews, vol. 117, p. 109487. https://doi.org/10.1016/j.rser.2019.109487
  • Jimenez J., Charnier C., Kouas M., Latrille E., Torrijos M., Harmand J., Patureau D., Spérandio M., Morgenroth E., Béline F., Ekama G.,  Vanrolleghem P.A., Robles A., Seco A., Batstone D.J., Steyer J.P. (2020), “Modelling hydrolysis: Simultaneous versus sequential biodegradation of the hydrolysable fractions”. Waste Management, vol. 101, pp. 150-160. https://doi.org/10.1016/j.wasman.2019.10.004
2019
  • Castillo-Calzadilla T., Martin Andonegui C., Gómez-Goiri M., Macarulla A.M., Borges C.E. (2019), “Systematic Analysis and Design of Water Networks With Solar Photovoltaic Energy”. IEEE Transactions on Engineering Management, pp. 1-14. https://doi.org/10.1109/TEM.2019.2940340
  • Yuan Z., Olsson G., Cardell-Oliver R., van Schagen K., Marchi A., Deletic A., Urich C., Rauch W., Liu Y., Jiang G. (2019), “Sweating the assets – the role of instrumentation, control and automation in urban water systems”. Water Research, vol. 155, pp. 381-402. https://doi.org/10.1016/j.watres.2019.02.034
  • Regmi P., Stewart H., Amerlinck Y., Arnell M., Garcia P.J., Johnson B., Maere T., Miletic I., Miller M., Rieger L., Samstag R., Santoro D., Schraa O., Snowling S., Takacs I., Torfs E., van Loosdrecht M.C.M., Vanrolleghem P.A., Villez K., Volcke E.I.P., Weijers S., Grau P., Jimenez J., Rosso D. (2019), “The Future of WRRF modelling – Outlook and challenges”. Water Science and Technology, vol. 79, no. 1, pp. 3-14. https://doi.org/10.2166/wst.2018.498
  • Kazadi-Mbamba C., Lindblom E., Flores-Alsina X., Tait S., Andersson S., Saagi R., Batstone D.J., Gernaey K.V., Jeppsson U. (2019), “Plant wide model-based analysis of iron dosage strategies for chemical phosphorus removal in water treatment systems”. Water Research, vol. 155, pp. 12-25. https://doi.org/10.1016/j.watres.2019.01.048
  • Flores-Alsina X., Feldman H., Monge-Lopez V., Ramin P., Kjellberg K., Jeppsson U., Batstone D.J., Gernaey K.V. (2019), “Evaluation of anaerobic digestion post-treatment options using an integrated model-based approach”. Water Research, vol. 156, pp. 264-276. https://doi.org/10.1016/j.watres.2019.02.035
  • Feldman H., Flores-Alsina X., Ramin P., Kjellberg K., Jeppsson U., Batstone D.J., Gernaey K.V. (2019), “Assessing the effects of intra-granule precipitation in a full-scale industrial anaerobic digester”. Water Science and Technology, vol. 79, no. 7, pp. 1327-1337. https://doi.org/10.2166/wst.2019.129
  • Bareha Y., Girault R., Guezela S., Chakera J., Trémier A. (2019), “Modeling the fate of organic nitrogen during anaerobic digestion: Development of a bioaccessibility based ADM1”. Water Research, vol. 154, pp. 298-315. https://doi.org/10.1016/j.watres.2019.02.011
  • Amaral A., Gillot S., Garrido-Baserba M., Filali A., Karpinska A., Plosz B., De Groot C., Bellandi G., Nopens I., Takacs I., Lizarralde I., Jimenez J., Fiat J., Rieger L., Arnell M., Andersen M., Jeppsson U., Rehman U., Fayolle Y., Amerlinck Y., Rosso D. (2019), “Modelling gas-liquid mass transfer in wastewater treatment: When current knowledge needs to encounter engineering practice and vice-versa”. Water Science and Technology, vol. 80, no. 4, pp. 607-619. https://doi.org/10.2166/wst.2019.253
  • Batstone D.J., Hülsen T., Oehmen A. (2019) “Metabolic modelling of mixed culture anaerobic microbial processes”. Current Opinion in Biotechnology, vol. 57, pp. 137-144. https://doi.org/10.1016/j.copbio.2019.03.014
2018
  • Robles A., Ruano M.V., Charfi A., Lesage G., Heran M., Harman J., Seco A., Steyer J.-P., Batstone D.J., Kim J., Ferrer J. “A review on anaerobic membrane bioreactors (AnMBRs) focused on modelling and control aspects”. Bioresource Technology, vol. 270, pp. 612-626. https://doi.org/10.1016/j.biortech.2018.09.049
  • Feldman H., Flores-Alsina X., Ramin P., Kjellberg K., Jeppsson U., Batstone D.J., Gernaey K.V. (2018), “Model-based analysis and optimization of a full-scale industrial high rate anaerobic bioreactor”. Biotechnology and Bioengineering, vol. 115, no. 11, pp. 2726-2739. https://doi.org/10.1002/bit.26807
  • Saagi R., Kroll S., Flores-Alsina X., Gernaey K.V., Jeppsson U. (2018), “Key control handles in integrated urban wastewater systems for improving receiving water quality”. Urban Water Journal, vol. 15, no. 8, pp. 790-800. https://doi.org/10.1080/1573062X.2018.1547771
  • Amaral A., Bellandi G., Rehman U., Neves R., Amerlinck Y., Nopens I. (2018), “Towards improved accuracy in modeling aeration efficiency through understanding bubble size distribution dynamics”, Water Research, vol 131, pp. 346-355. https://doi.org/10.1016/j.watres.2017.10.062
  • Atinkpahoun C.N.H., Le, N.D., Pontvianne S., Poirot H., Leclerc J.P., Pons M.N., Soclo H.H. (2018), “Population mobility and urban wastewater dynamics”, Science of the Total Environment, vol 622-623, pp. 1431-1437. https://doi.org/10.1016/j.scitotenv.2017.12.087
  • Keucken A., Habagil M., Batstone D.J,, Jeppsson U., Arnell M. (2018), “Anaerobic co-digestion of sludge and organic food waste – performance, inhibition and impact on the microbial community”. Energies, vol. 11(2325), pp. 1-13. https://doi.org/10.3390/en11092325
2017
  • Puyol D., Barry E.M., Hülsen T., Batstone D.J. (2017) A mechanistic model for anaerobic phototrophs in domestic wastewater applications: Photo-anaerobic model (PAnM)”. Water Research, vol. 116, pp. 241-253. http://dx.doi.org/10.1016/j.watres.2017.03.022
  • Arnell M., Rahmberg M., Oliveira F., Jeppsson, U. (2017), “Multi-objective performance assessment of wastewater treatment plants combining plant-wide process models and life cycle assessment”. Journal of Water and Climate Change, vol. 8, no. 1, pp. 715-729. https://doi.org/10.2166/wcc.2017.179.
  • Feldman H., Flores-Alsina X., Ramin P., Kjellberg K., Batstone D.J., Jeppsson U., Gernaey K.V. (2017) Modelling an industrial anaerobic granular sludge reactor using a multi-scale approach”. Water Research, vol. 126, pp. 488-500. https://doi.org/10.1016/j.watres.2017.09.033.
  • Fernández-Arévalo T., Lizarralde I., Fdz-Polanco F., Pérez-Elvira S.I., Garrido J.M., Puig S., Poch M., Grau P., Ayesa E. (2017), “Quantitative assessment of energy and resource recovery in wastewater treatment plants based on plant-wide simulations”. Water Research, vol. 118. pp. 272-288. https://doi.org/10.1016/j.watres.2017.04.001
  • Fernández-Arévalo T., Lizarralde I., Grau P., Ayesa E. (2017), Diagnosis and optimization of WWTPs using the PWM library: full-scale experiences”. Water Science & Technology, 75(3), 518-529. DOI:10.2166/wst.2016.482
  • Le N.D., France X., Pontvianne S., Poirot H., Leclerc J. P., Pons M. N. (2017), Daily wastewater pollutant dynamics with respect to catchment population structure”. Urban Water Journal, vol. 14, pp. 1016-1022 DOI: 10.1080/1573062X.2017.1325498
  • Li Y., Wang X., Liu J., Qu J. (2017) Energy use and carbon footprints differ dramatically for diverse wastewater-derived carbonaceous substrates: An integrated exploration of biokinetics and life-cycle assessment. Scientific Reports, vol. 7, pp. 243. DOI: 10.1038/s41598-017-00245-1
  • Man Y., Shen W., Chen X., Long Z., Pons M.N. (2017) Modeling and simulation of the industrial sequencing batch reactor wastewater treatment process for cleaner production in pulp and paper mills”. Journal of Cleaner Production, vol. 167, pp. 643-652. http://dx.doi.org/10.1016/j.jclepro.2017.08.236
  • Puyol D., Flores-Alsina X., Molina R., Segura Y., Padrino B., Fierro J.L., Gernaey L.V., Melero J.A., Martínez F. (2017) Exploring the effects of ZVI addition on resource recovery in the anaerobic digestion process”. Chemical Engineering Journal, vol. 335, pp. 703-711. https://doi.org/10.1016/j.cej.2017.11.029.
  • Saagi R., Flores-Alsina X., Kroll S., Gernaey K.V., Jeppsson U. (2017) A model library for simulation and benchmarking of integrated urban wastewater systems”. Environmental Modelling & Software, vol. 93, pp. 282-295. https://doi.org/10.1016/j.envsoft.2017.03.026
  • Solon K., Flores-Alsina X., Kazadi-Mbamba C., Ikumi D., Volcke E.I.P., Vaneeckhaute C., Ekama G., Vanrolleghem P.A., Batstone D.J., Gernaey K.V., Jeppsson U. (2017), “Plant-wide modelling of phosphorus transformations in wastewater treatment systems: Impacts of control and operational strategies”. Water Research, vol. 113, pp. 97-110.http://dx.doi.org/10.1016/j.watres.2017.02.007
2016
  • Arnell M., Astals S., Åmand L., Batstone D.J., Jensen P.D., Jeppsson U. (2016), “Modelling anaerobic co-digestion in Benchmark Simulation Model No. 2: parameter estimation, substrate characterisation and plant-wide integration”. Water Research, vol. 98, pp. 138-146, DOI:10.1016/j.watres.2016.03.070.
  • Flores-Alsina X., Solon K., Kazadi-Mbamba C., Tait S., Gernaey K.V., Jeppsson U., Batstone D.J. (2016), “Modelling phosphorus (P), sulfur (S) and iron (Fe) interactions for dynamic simulations of anaerobic digestion processes”. Water Research, vol. 95, pp. 370-382, DOI:10.1016/j.watres.2016.03.012.
  • Kazadi Mbamaba C., Flores-Alsina X., Batstone D.J., Tait S. (2016) “Validation of a plant-wide modelling approach with solids precipitation in a full-scale WWTP”. Water Research, 100, 169-183, DOI:10.1016/j.watres.2016.05.003.
  • Lindblom E., Arnell M., Flores-Alsina X., Stenström F., Gustavsson D.J.I., Yang J., Jeppsson U. (2016) “Dynamic modelling of nitrous oxide emissions from three Swedish sludge liquor treatment systems”. Water Science & Technology, 73(4), 798-806, DOI:10.2166/wst.2015.534
  • Mannina G., Ekama G., Caniani D., Cosenza A., Esposito G., Gori R., Garrido-Baserba M., Rosso D., Olsson G. (2016), “Greenhouse gases from wastewater treatment – A review of modelling tools”. Science of the Total Environment, vol. 551-552, pp. 254-270, DOI:10.1016/j.scitotenv.2016.01.163.
  • Saagi R., Flores-Alsina X., Fu G., Butler D., Gernaey K.V., Jeppsson U. (2016), “Catchment & sewer network simulation model to benchmark control strategies within urban wastewater systems”. Environmental Modelling & Software, vol. 78, pp. 16-30, DOI:10.1016/j.envsoft.2015.12.013.
  • Snip L.J.P., Flores-Alsina X., Aymerich I., Rodríguez-Mozaz S., Barceló D., Plósz B.G., Corominas Ll., Rodriguez-Roda I., Jeppsson U., Gernaey K.V. (2016) “Generation of synthetic influent data to perform (micro) pollutant wastewater treatment modelling studies”. Science of the Total Environment, vol. 569-570, pp. 278-290, DOI: 10.1016/j.scitotenv.2016.05.012.
2015
  • Flores-Alsina X., Kazadi-Mbama C., Solon K., Vrecko D., Tait S., Batstone D., Jeppsson U., Gernaey K.V. (2015) “A plant wide aqueous phase chemistry module describing pH variations and ion speciation/pairing in wastewater treatment models”. Water Research vol. 85, pp. 255-265 https://doi.org/10.1016/j.watres.2015.07.014.
  • Kazadi Mbamba C., Flores-Alsina X., Batstone D., Tait S. (2015) “A systematic study of multiple minerals precipitation modelling in wastewater treatment”. Water Research vol. 85, pp. 359-70 https://doi.org/10.1016/j.watres.2015.08.041.
  • Solon K., Flores-Alsina X., Gernaey K.V., Jeppsson U. (2015) “Effects of influent fractionation, kinetics & stoichiometry and mass transfer on CH4, H2 and CO2 production for (plant-wide) modelling of anaerobic digesters”. Wat. Sci. Technol. vol. 71(6), pp. 870-87 https://doi.org/10.2166/wst.2015.029.
  • Solon K, Flores-Alsina X , Kazadi Mbamaba C., Gernaey K. V, Tait S., Batstone D., Volcke E. I. P., Jeppsson U. (2015) “Effects of ion strength and ion pairing on plant wide modelling on anaerobic digester”. Water Research vol. 70, pp. 235-245 https://doi.org/10.1016/j.watres.2014.11.035.
  • Wang X., McCarty P.L., Liu J., Ren N.Q? Lee D.J., Yu H.Q., Qian Y., Qu J. (2015) Probabilistic evaluation of integrating resource recovery into wastewater treatment to improve environmental sustainability. Proceedings of the National Academy of Sciences of the United States of America (PNAS), vol. 112, pp. 1630-1635 https://doi.org/10.1073/pnas.1410715112.
  • Wang X.H., Wang X., Huppes G., Heijungs R., Ren N.Q. (2015) Environmental implications of increasingly stringent sewage discharge standards in municipal wastewater treatment plants: Case study of a cool area of China. Journal of Cleaner Production, vol. 94, pp. 278-283 https://doi.org/10.1016/j.jclepro.2015.02.007.