(TECNUN) Ingeniería Mecánica y Materiales
Departamento académico
Eduardo José
Ayesa Iturrate
Investigador Principal Senior
Publikationen, an denen er mitarbeitet Eduardo José Ayesa Iturrate (11)
2024
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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
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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
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Inclusion of shear rate effects in the kinetics of a discretized population balance model: Application to struvite precipitation
Water Research, Vol. 200
2019
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A New Mass-Based Discretized Population Balance Model for Precipitation Processes: Application to Struvite Precipitation
Water Research, Vol. 155, pp. 26-41
2008
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Model-based optimisation of Wastewater Treatment Plants design
Environmental Modelling and Software, Vol. 23, Núm. 4, pp. 435-450
2001
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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
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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
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New simulators for the optimum management and operation of wastewater treatment plant
Water Science and Technology
1998
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Selection of operational strategies in activated sludge processes based on optimization algorithms
Water Science and Technology, Vol. 37, Núm. 12, pp. 327-334
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Selection of operational strategies in activated sludge processes based on optimization algorithms
Water Science and Technology
1997
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Optimum design of activated sludge plants using the simulator daisy 2.0
International Conference on Measurements and Modelling in Environmental Pollution, MMEP, Proceedings