- Water Quality Monitoring and Analysis
- Advanced oxidation water treatment
- Solar Thermal and Photovoltaic Systems
- Advanced Data Processing Techniques
- TiO2 Photocatalysis and Solar Cells
- Water-Energy-Food Nexus Studies
- Solar-Powered Water Purification Methods
- Radiative Heat Transfer Studies
- Nuclear reactor physics and engineering
- Listeria monocytogenes in Food Safety
- Process Optimization and Integration
- Photovoltaic System Optimization Techniques
- Graphite, nuclear technology, radiation studies
- Innovative Microfluidic and Catalytic Techniques Innovation
- Advanced Computational Techniques in Science and Engineering
- Building Energy and Comfort Optimization
- Infection Control and Ventilation
- Solar Radiation and Photovoltaics
- Energy and Environment Impacts
- Advanced Scientific Techniques and Applications
- Advanced Bandit Algorithms Research
- Atmospheric chemistry and aerosols
- Reinforcement Learning in Robotics
- Water Quality Monitoring Technologies
- Advanced Multi-Objective Optimization Algorithms
Universidad Rey Juan Carlos
2020-2023
Space Hellas (Greece)
2021
This paper studies the worldwide applicability of solar water disinfection (SODIS) technology through a novel parameter: SODIS potential. parameter is defined as inverse ratio between required exposure time to achieve four log E. coli and six hours recommended by standard protocol. The inactivation kinetics was predicted fitting results under different temperature incident radiation semi-empirical model, including synergy term bacterial stress sources (light/heat). To estimate potential,...
This work presents the enhanced numerical simulation of radiation transport in three different types photocatalytic reactor using a novel Discrete Ordinate Method model recently developed for open-source Computational Fluid Dynamics (CFD) platform OpenFOAM. The photoreactors represent commonly used geometries and illumination sources field heterogeneous photocatalysis: an annular illuminated by mercury fluorescent lamp, tubular coupled to compound parabolic collector sunlight, LEDs....
This work focuses, for the first time, on mechanistic modelling of wastewater disinfection by solar photo-Fenton process using controlled simulated radiation. At circumneutral pH, iron precipitates forming hydroxides and significantly affecting optical properties water. In this regard, radiation transfer in reactor has been taken into account. The proposed model considers that inactivation bacteria follows a serial n-event mechanism with n reversible steps photonic attacks leading to...
Solar technologies constitute an excellent alternative for water treatment in low-income countries where the poverty of a large part population hinders their access to safe water. From technical point view, use compound parabolic collectors (CPC) has been consolidated last decades. However, relatively high cost tooling conventional manufacturing processes these makes them difficult afford most impoverished regions. This work presents development low-cost CPC and through solar (PTC) by 3D...
In this second part of the development a mechanistic kinetic model solar inactivation E. coli enhanced with hydrogen peroxide, we evaluate mechanisms based on photonic and integrate them into dark process developed in Part 1. The direct was modelled using series-event accumulation damage by photons it coupled used 1 for modelling caused radicals multiple target – hit model, including recovery constant to define ability cells face specific damage. Catalase superoxide dismutase inactivation,...
The present bi-partite work describes the development and validation of a mechanistic kinetic model SODIS E. coli inactivation, enhanced with H2O2. In this first part, mechanism baseline dark phenomena is modelled. A involving cellular respiration, inactivation due to HO· O2·- radicals, bacterial thermal was developed using series-event based on accumulation damage cell recovery corrected Arrhenius equation for inclusion events. contribution external H2O2 included in internal balance, while...
In this study, the possibility of predicting efficacy Solar water disinfection (SODIS) for removal bacterial pathogens was assessed by development a three-level plan: firstly, systematic E. coli inactivation performed (in vitro) in Lake Geneva water, under otherwise controlled conditions temperature (20–50 °C), sunlight intensity (0–1200 W/m2), presence natural dissolved organic matter (DOM, 0–6 mg/L) and turbidity (0–50 NTU). As second step kinetic evaluation led to selection most relevant...
Photoactivated advanced oxidation processes have excellent performance in removing recalcitrant pollutants from water. However, the high operating cost associated with energy consumption of UV lamps is a big drawback. In this work, design and optimization reflector tube-in-tube membrane photoreactor were carried out using ray tracing methodology to maximize light deployed reactor. Simulations different lamps/reactor arrangements 1, 2 3-sided flat reflectors circular parabolic geometries....
Solar-driven photoactivated processes have proven to be effective technologies for removing pathogens and chemical contaminants from water. Reflector systems are commonly used concentrate the sunlight improve their efficiency. Among them, compound parabolic collectors (CPC) most widely used, being concentration factor (CF), main design parameter, calculated directly geometry. This work presents development of a novel called dynamic (DCF), assess efficiency CPC as function solar vector (the...
This paper describes the reduction in memory and computational time for simulation of complex radiation transport problems with discrete ordinate method (DOM) model open-source fluid dynamics platform OpenFOAM. Finite volume models require storage vector variables each spatial cell; DOM introduces two additional discretizations, direction wavelength, making a limiting factor. Using specific classes sources data, changing store fluxes other minor changes allowed 75% requirements. Besides,...
Abstract Numerical optimization solves problems that are analytically intractable at the cost of arriving a sufficiently good but rarely optimal solution. To maximize result, algorithms run with guidance and supervision human, usually an expert in problem. Recent advances deep reinforcement learning motivate interest artificial agent capable to do expert’s task. Specifically, we present proximal policy learns optimize real case study such as modeling photo-fenton disinfection process, which...