BUSCADOR RECOLECTA

The aim of iCAREPLAST project is to provide a cost and energy-efficient alternative to recycle and valorise non-recycled plastic waste (ca. 70% of European plastic waste) that, due to their characteristics or their contamination, are currently disposed into landfills (27%) or underexploited through energy recovery (42%). iCAREPLAST project, summarized in Fig.1, combines pyrolysis, catalytic treatment and membrane separation technologies to obtain high added-value chemicals, as they are (alkyl-)aromatics (BTXs and medium to long-chain alkyl-aromatics), that can be used to produce virgin-quality polymers or as raw materials for other processes in petrochemicals, fine chemicals and surfactants industries. As in other production processes, process control represents a key issue in the efficient operation of the proposed plant. WP5: “Plant modelling, control and optimization” will try to apply some state-of-art control and optimization techniques with the purpose of manage the iCAREPLAST process as a whole, taking into account several key information related to yields, energy use, sustainability indicators, etc. to drive the process towards its optimum operating point. In iCAREPLAST project, several approaches of process model simulations are considered. The first one is known as steady-state simulation, where iCAREPLAST partners can model different scenarios by handling with design parameters. This type of simulation is typically done during the conceptual phase of a project in an effort to gain a better understanding of how a design can be altered to get the most out of the process from both a business standpoint and an engineering perspective. The datasets presented belongs to this kind of simulations where a steady-state model has been developed in Aspen Plus and several sensitivity analysis has been performed. The datasets comprises raw data from steady-state model simulations performed using Aspen Plus Software. Each dataset corresponds with each unit or subprocess belonging to the entire iCARPLAST process.