Energy
Recovery of Mechanical Energy from fluids to feed and Internet of Things (IoT) node that monitors diesel-engine exhaust gases.
The project proposes the development of a system to recover kinetic energy from easily accessible sources in order to make it immediately available for equipment in daily use (e.g. sensors for wearable devices, very low power actuators, low range wireless transmitters, etc.), whose need to be as energy independent as possible is propelling a rigorous search for appropriate technological solutions.
The proposed energy recovery system is based on an innovative technology composed of recyclable and environmentally friendly materials, which uses extremely flexible piezoelectric devices and very small dimensions to recover kinetic energy from gaseous fluids (e.g. wind, gases in pipes and air currents), but also from the movement of liquids (e.g. waves, sea and river currents), and which has virtually zero environmental and visual impact.
EnginSoft is the project coordinator and will conduct the FSI (fluid structure interaction) and system simulation activities.
ENGINSOFT SPA | IIT - ISTITUTO ITALIANO DI TECNOLOGIA (CENTER FOR CONVERGENT TECHNOLOGIES) | WEBELETTRONICA SRL
Funding Scheme: MISE Programma Operativo Nazionale (PON) “Ricerca e Innovazione 2014-2020” -European Regional Development Fund (ERDF) 2014-2020 EU Structural Funds
Some of our competences in research and technology transfer

Research project
Il progetto VOLPE mira all’ingegnerizzazione e all’industrializzazione di un innovativo strumento optoelettronico per la rilevazione di sostanze esplosive in forma volatile, integrabile con i sistemi commerciali per il controllo dei bagagli a mano, ed in grado di operare in completa autonomia.

Research project
The main aim of the project is to set out the knowledge and skills that a competent simulation engineer (CAE engineer) should possess, and to develop a set of tools that will enable engineers to develop, manage and certify their competencies within a wide range of industry sectors.
Research project
YOGA develops a semiautomated and standardized platform targeting clinical laboratories for tissue characterization by biopsy when very little material is available.