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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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

The Use Case in Brazil will tackle the issue of large areas with Cr contamination from tanneries waste used in agriculture as fertilizers for many years

Use Case #2
Italy

A single experimental small farm area in Viterbo will be investigated, contaminated with As from historical use of pesticides which are now withdrawn, representative of a widespread issue in other regions and worldwide. 

Use Case #3
UK

Former brownfield industrial sites, landfills and mining sites have recently been compiled into a single GIS database that will be examined for Scotland comprising many sites, small to medium-sized and geographically dispersed within a larger area; this Use Case will represent the largest scale application among all.

Use Case #4
Ukraine

Titanium mining sites of ilmenite, located within Zhytomyr region will be considered. Each example chosen represents generic contaminated land issues present globally.

News & Events

In October the second sampling in the fields of the experimental teaching farm at the University of

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CERESiS will participate in the 5th H2020 Biofuels Workshop, an online event organised by CINEA for

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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.