Secure Management Platform for Shared Process Rescources

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SBFI

Projektnummer

15.0225

Projekttitel

Secure Management Platform for Shared Process Rescources

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Abstract (Englisch)	To pave the way forward for IS as a solution for more efficient processing and energy systems for the\nprocess industry, we will develop a secure ICT platform (SHAREBOX) for the flexible management of \nshared process resources that will provide plant operations and production managers with the \nrobust and reliable information that they need in real-time in order to effectively and confidently \nshare resources (plant, energy, water, residues, and recycled materials) with other companies in a \nsymbiotic eco-system. \n\nA suite of new analysis and optimisation tools for flexible energy use and material flow integration \nwill be developed for optimising symbiosis among companies. These tools will be based on input-\noutput (IO) modelling for resource (waste and energy) supply-demand matching and process \nefficiency analysis (to understand physical and technological conditions), game theoretical (GT) \napproach for integrating company behaviour in cost-, benefit-, and resource-sharing (to understand \neconomic conditions), and agent-based modelling (ABM) for designing the (economic, \nenvironmental, and social) optimal symbiotic network (to have the holistic optimum). The outputs \nfrom the SHAREBOX controller will provide plant and operations managers with commands for \nactions to be taken and/or recommendations for decision support. It will be ensured that all \ncommands and recommendations a) fulfil plant operations requirements, b) are within the \nconstraints of any contractual obligations, c) are in compliance with all regulatory thresholds, and d) \ndeliver optimal impacts in terms of cost/savings and ecological footprints. The historical data that is \ngenerated by the SHAREBOX platform will be processed by data mining tools that will provide the \nproduction/process BIG DATA for symbiotic shared resources optimisation. The platform will be co-\ncreated, implemented and tested at 4 demo locations in EU, using realistic industrial streams and \nprocess conditions.

Kategorie

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Abstract
(Englisch)

To pave the way forward for IS as a solution for more efficient processing and energy systems for the\nprocess industry, we will develop a secure ICT platform (SHAREBOX) for the flexible management of \nshared process resources that will provide plant operations and production managers with the \nrobust and reliable information that they need in real-time in order to effectively and confidently \nshare resources (plant, energy, water, residues, and recycled materials) with other companies in a \nsymbiotic eco-system. \n\nA suite of new analysis and optimisation tools for flexible energy use and material flow integration \nwill be developed for optimising symbiosis among companies. These tools will be based on input-\noutput (IO) modelling for resource (waste and energy) supply-demand matching and process \nefficiency analysis (to understand physical and technological conditions), game theoretical (GT) \napproach for integrating company behaviour in cost-, benefit-, and resource-sharing (to understand \neconomic conditions), and agent-based modelling (ABM) for designing the (economic, \nenvironmental, and social) optimal symbiotic network (to have the holistic optimum). The outputs \nfrom the SHAREBOX controller will provide plant and operations managers with commands for \nactions to be taken and/or recommendations for decision support. It will be ensured that all \ncommands and recommendations a) fulfil plant operations requirements, b) are within the \nconstraints of any contractual obligations, c) are in compliance with all regulatory thresholds, and d) \ndeliver optimal impacts in terms of cost/savings and ecological footprints. The historical data that is \ngenerated by the SHAREBOX platform will be processed by data mining tools that will provide the \nproduction/process BIG DATA for symbiotic shared resources optimisation. The platform will be co-\ncreated, implemented and tested at 4 demo locations in EU, using realistic industrial streams and \nprocess conditions.