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Agency: Cordis | Branch: H2020 | Program: RIA | Phase: SPIRE-06-2015 | Award Amount: 5.91M | Year: 2015

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

Agency: Cordis | Branch: FP7 | Program: CP | Phase: ENV.2012.6.3-2 | Award Amount: 3.71M | Year: 2012

The project will construct a theoretical framework for the analysis of resource efficiency, with detailed comparison of the trends and policies at EU and Member State (MS) level, cross-country econometric analysis to derive resource-reduction cost curves, and an analysis of business barriers to resource efficiency; thereby developing an enhanced understanding of the drivers of inefficient resource use. This will lead to an exploration of new concepts and paradigms that can bring about a radical increase in resource efficiency, and a vision for a resource-efficient economy in the EU, with suggestions also for new more resource-efficient business models for firms, and ideas for a global governance regime that can promote resource-efficient economies among the EUs trading partners and more widely will be explored. From its new vision for a resource-efficient Europe, the project will propose new policy mixes, business models and mechanisms of global governance through which resource-efficient economies may be promoted. This will lead in turn to intensive work on creating, modelling and visualising scenarios for the emergence of resource-efficient economies, through linking quantitative economic and ecological models, and simulating the policies and policy mixes derived in the earlier work, supplemented with appropriate LCA analysis for selected products and sectors, to ensure that the policies and business models in the scenarios lead to adequate absolute decoupling of economic activity from resource use and environmental degradation. The scenarios and associated policy analysis will be given an integrated interpretation across economic, ecological and social dimensions. The project will be explicitly geared to support policy efforts and initiatives on resource efficiency in the European Commission, and will involve a wide range of stakeholders from business, the policy world, and NGOs. The results will be widely disseminated in a variety of innovative ways.

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