Valverde Pérez, BorjaMorset, MartinBlum, Jan M.Mauricio Iglesias, MiguelDomingo Felez, CarlosSmets, Barth F.2017-06-062017-06-062017http://hdl.handle.net/10347/1544810th International Conference on Biofilm Reactors, 9th - 12th May 2017, University College Dublin, IrelandCompletely autotrophic nitrogen removal (CANR) can be obtained in single stage granule-based bioreactors. However, their environmental footprint is compromised due to elevated N2O emissions. In this study we develop and present results from a novel spatially explicit biochemical process model of granular CANR systems that predicts N2O dynamics and stripping. The model is adapted to predict pH gradients within the granule and considers different granule size distributions and their impact on N2O emissions. The model will serve as a guiding tool to define an operational window, where aeration strategies, granule size and bulk pH are optimized to retain high nitrogen removal whilst minimizing the N2O productionengAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Biofilm modellingAutotrophic nitrogen removalGlobal warmingN2O strippingMaterias::Investigación::33 Ciencias tecnológicas::3308 Ingeniería y tecnología del medio ambiente::330810 Tecnología de aguas residualesMaterias::Investigación::33 Ciencias tecnológicas::3308 Ingeniería y tecnología del medio ambiente::330801 Control de la contaminación atmosféricaconference outputopen access