Toribio Echevarria Prize 22-07-2019 (in Spanish)

Gracias por la entrevista!! @gananzia @jamoral
RT @EkoGarapena: 👩🏻💬 "Sería interesante que las mujeres emprendedoras también contáramos con un apoyo y formación en capacitación emocional…
Una suerte haber compartido ese rato con todas vosotras y haber puesto en común nuestras experiencias y puntos de vista sobre el papel de la mujer en el entorno emprendedor. Eskerrik asko!!! @BICGipuzkoa @arantxa_tapia @SOMAprobes @narusolutions @InstitutoQueso @ScrapAd_esp
RT @BICGipuzkoa: La startup gipuzkoana @surphase_swe lanzará un #dispositivo #disruptivo para el tratamiento #sostenible del #agua #monit…
Gracias @aguaresiduales por la entrevista!
RT @AEDyR_es: @ACCIONA #CongresoDigitalAEDyR | Premios Y la ponencia más votada por los asistentes a la Sesión 3 es la de: Iliane Rafani…
SURPHASE enables designing a strategy toward the most sustainable use of detergents. This means a significant advantage for cleaning agent producers over their competitors.
We have learnt that our device offers producers of cleaning agents a unique tool to test their formulations in situ and in real time. This is in stark contrast to current trial&error approaches which are unable to systematically verify the actual detergent efficiency, both ecologically and economically.
SURPHASE enables an optimized design of new desalination plants based on the big data obtained from its network of monitoring devices.
Until today, a significant amount of desalination plants is designed on standard concepts which can be far from optimum. In these cases, posterior adaptation of the plant can turn out costly and even economically inviable, resulting in an inefficient operation of the desalination plant.
By detecting fouling at an early-stage, SURPHASE helps keeping membrane lifetime at the level warranted by the manufacturer.
Furthermore, as an intelligent monitoring device SURPHASE offers the possibility to record – similar to a “black box” – the operating conditions the membrane is being exposed to during operation.
SURPHASE predicts at an early-stage and in a short-term the fouling tendency of desalination membranes. This provides an opportunity for the operator to plan the cleaning cycles well ahead. The data obtained by SURPHASE enable a long-term optimization of the operation of the desalination plant.