Secure Management Platform for Shared Process Resources

Objective

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.

Field of science

• /natural sciences/computer and information sciences/data science/data mining

Programme(s)

• H2020-EU.2.1.5.3. - Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries

Topic(s)

• SPIRE-06-2015 - Energy and resource management systems for improved efficiency in the process industries

Call for proposal

H2020-SPIRE-2015
See other projects for this call

Funding Scheme

Coordinator

Participants (16)