CERESiS: ContaminatEd land Remediation through Energy crops for Soil improvement to liquid biofuel Strategies

Making sustainable biofuels on formerly contaminated land

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Decision Support System

One of the key outcomes of the CERESiS project is the Decision Support System (DSS) which supports stakeholders & policy makers in assessing the suitability of integrated pathways of energy crops production in contaminated land to conversion to clean biofuels. It includes techno-economic analysis of pathways, LCA & LCC, supply chain optimization, and multi-criteria assessment. The tool can be accessed here: https://dss.ceresis.eu/

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Methodology

Pillar 1: Phytoremediation

Pillar 1: Phytoremediation

Identify a range of promising energy crops, focusing on key contaminants worldwide.
They will be trialed in North, South, Eastern Europe and Brazil

Pillar 2: Technology

Pillar 2: Technology

Optimize two clean biofuel conversion technologies, Supercritical Water Gasification & Fast Pyrolysis

Pillar 3: Decision Support

Pillar 3: Decision Support

Develop an open access, modular and expandable Decision Support System able to identify optimal solutions for each application

Methodology

The concept proposed in CERESiS is to combine contaminated land characteristics

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CERESiS Use Cases

Use Case #1
Brazil

Large agricultural areas with Cr contamination from tanneries waste used as fertilizers for many years.

Use Case #2
Italy

Agricultural farm area in Viterbo contaminated with As from historical use of pesticides.

Use Case #3
UK

Non-agricultural landbanks, including brownfield sites, former landfills and mining sites, such as Pb-Zn mines.

Use Case #4
Ukraine

Heavy metals contamination at tailing sites of ilmenite sand mines, located within Zhytomyr region.

News & Events

CERESiS came to an end and in the framework of project finalization a final meeting and event were

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CERESiS is coming to an end and the final event will be held in Thessaloniki, Greece, to discuss the

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This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101006717.