National Technical University of Athens (NTUA) is the leader of the third Work Package of the EPIC2020, with the title “Assessment of the internal and external bioenergy resource potentials and bioenergy flows”. During the actions of WP3, new methods and techniques were developed, which are now on their way to be published, as Proceedings, into two international conferences. A full paper is also planned to be published in the near future, but is still in earlier stages.

One could find these articles using the following citations:

1. Georgios Lignos, Christina Tsouti and Antonis Kokossis, A systems approach to evaluate bioenergy potential in port areas using industrial symbiosis principles. The 7th International Symposium on Design, Operation and Control of Chemical Processes (PSE ASIA 2016)

2. Georgios Lignos, Simone Stancari, Stelios Bikos, Antonis Kokossis. Structural and economic analysis of Industrial Symbiosis networks: a hybrid approach to assess investment opportunities, Proceedings of the 26th European Symposium on Computer Aided Process Engineering – ESCAPE 26

The first one is actually an introduction to the Bioenergy Networks, as an implementation of Industrial Symbiosis tools and techniques in an expanded basis. The importance and roles of the ports within the formed Networks are explained, including: reduced transportation costs, availability of multiple diverse flows, industrial areas for new investments and ability to facilitate communication among companies. In the rest of this 6 pages-long paper the role of the different entities taking part in the Bioenergy Network is described. Biomass to bioenergy transformations are modeled and named as “enablers”, a concept also described in the Deliverable D3.1. Finally, to allow efficient policies to be designed, a method to estimate local bioenergy demand is also explained.


The second paper presents a two-part method to quantify the different aspects of Bioenergy Networks: Structural and Economical Analysis. Both parts are composed of 9 different metrics. The Structural Analysis metrics are designed to indicate quantitatively information about the Networks, in a more generalised way than the Resilience studies usually do. These metrics refer to the level of: geographical proximity among the Industries, Industrialisation (i.e. number of Industries within the Network), fuel consumption, tendency for cooperation vs. competition, Symbiotic level, resilience using a “Kirchhoff index”, robustness, market diversity and maturity of the Network. These metrics are applied in both the current status of the Networks and the status after the implementation of the proposed enablers. The differences are shown below.

The Economic Analysis method has been developed by the WP5 leaders, but is included in the paper to form a complete approach to evaluate aspects of the port areas that can only be quantified by collecting answers to a questionnaire. More information about these metrics can be found in the Deliverables of Work Package 5 and in the paper.

The methods have been applied to the port areas of EPIC2020, and results show that the proposed approach offers significant insight. Graphics include radar graphs that may be used in the form of fingerprints in multi-parameter SWOT analyses