Publicacions en què col·labora amb Eduardo José Ayesa Iturrate (11)

2024

  1. A CFD-based compartmental modelling approach for long-term dynamic simulation of water resource recovery facilities

    Water Science and Technology, Vol. 90, Núm. 2, pp. 490-509

2021

  1. Corrigendum to A New Mass-Based Discretized Population Balance Model for Precipitation Processes: Application to Struvite Precipitation Water Research 155 (2019) 26-41 (Water Research (2019) 155 (26–41), (S0043135419301034), (10.1016/j.watres.2019.01.047))

    Water Research

  2. Inclusion of shear rate effects in the kinetics of a discretized population balance model: Application to struvite precipitation

    Water Research, Vol. 200

2019

  1. A New Mass-Based Discretized Population Balance Model for Precipitation Processes: Application to Struvite Precipitation

    Water Research, Vol. 155, pp. 26-41

2008

  1. Model-based optimisation of Wastewater Treatment Plants design

    Environmental Modelling and Software, Vol. 23, Núm. 4, pp. 435-450

2001

  1. Application of mathematical tools to improve the design and operation of activated sludge plants. Case study: The new WWTP of Galindo-Bilbao Part I: Optimum design

    Water Science and Technology

  2. Application of mathematical tools to improve the design and operation of activated sludge plants. Case study: The new WWTP of Galindo-Bilbao Part II: Operational strategies and automatic controllers

    Water Science and Technology

  3. New simulators for the optimum management and operation of wastewater treatment plant

    Water Science and Technology

1998

  1. Selection of operational strategies in activated sludge processes based on optimization algorithms

    Water Science and Technology, Vol. 37, Núm. 12, pp. 327-334

  2. Selection of operational strategies in activated sludge processes based on optimization algorithms

    Water Science and Technology

1997

  1. Optimum design of activated sludge plants using the simulator daisy 2.0

    International Conference on Measurements and Modelling in Environmental Pollution, MMEP, Proceedings