Hysytech (Italy)

A virtuous biowaste cycle replicated in three industrial sites (Italy, Greece and Cyprus) yielding value added products (SBO) for agriculture and chemicals' bioeconomy. A cofunded LIFE project.

<p>This document, D7.3 Data Management Plan (DMP) presents the main elements of the data management policy used by the consortium during the LICROX project, which is funded by the European Union’s H2020 Programme under Grant Agreement No.951843. It describes the types of data, how they will be preserved and if they are shared or confidential. The DMP provides an overview of the datasets. Initially data management will build on the existing infrastructure within the partners. Data produced by the consortium will be made available through the LICROX website and on the LICROX Teams Working Group, that serves as the internal information sharing tool for the consortium, maintained by the project management board. The publications and data repository for the project outcomes will be gradually shifted to the public repository Zenodo hosted at the Conseil Européen pour la Recherche Nucléaire (CERN) by partner ICIQ. In addition, each institution will also use their regular public repositories. This as a living document, subject to formal change control and a mid-term update is already planned by month 18 (D7.4).</p>

The present work deals with the modelling and simulation of a biogas Demo-processor for green hydrogen production via Autothermal reforming (ATR) process aimed at covering a wide span of potential applications, from fuel cells feed up to the production of pure hydrogen. The biogas ATR unit is composed of a structured catalyst support close coupled to a wall-flow filter that retain soot particles that can be formed during the ATR reaction. Modelling and simulation (CFD and FEM) were carried out to select the innovative catalyst support with promising results for the fuel processor. 3D digital sample reconstruction was performed for the selection of the appropriate porous structures commercially available for the soot filtration and furthermore, 2D CFD analysis was also used to examine flow uniformity issues due to soot trap integration downstream to the ATR. Moreover, the inherent flexibility of the model performed allowed its application in the assessment of the Demonstration plant operating in real conditions. Besides, Aspen simulation has demonstrated that the ATR process is the most promising process to hydrogen production compared to other types of reforming process.