Democritus University of Thrace (DUTh) has formed, under the European Project Renaissance (Renewable Integration & Sustainability in Energy Communities, HORIZON 2020, GA 824342), a virtual Renewable Energy Community (REC) in Greece located nearby Kimmeria at the northeast of the city of Xanthi, at the North-eastern Greece. The REC formed is the first energy community designed in a public housing settlement in Greece and its members are: (a) the Democritus University of Thrace, (b) the Municipality of Xanthi and (c) a local industry. DUTh’s main objective is to explore, leverage and mobilize stakeholders to apply schemes for a social group of end users (i.e., students from low-income families) in order to participate in the operation and management of a local renewable energy community, gaining also non-financial benefits. This paper presents the business case scenario and the market players evolving at an Energy Community which includes a public establishment of student residences in Greece.

In the framework of diploma theses elaborated in the Division of Hydraulic Engineering, Department of Civil Engineering, Democritus University of Thrace, measurements of stream discharge and bed load transport rate were carried out at the outlet of the mountain part of Nestos River basin (northeastern Greece). In concrete terms, 68 measurements of stream discharge and bed load transport rate were carried out at a location, near the basin outlet. Apart from the measurements, bed load transport rate was computed by means of Meyer-Peter and Müller formula, after calibrating the above formula in terms of roughness coefficient. The comparison results between computations and measurements of bed load transport rate, on the basis of well-known statistical criteria, were fairly satisfactory

Within the framework of diploma theses elaborated at the Division of Hydraulic Engineering, Department of Civil Engineering, Democritus University of Thrace, measurements of stream discharge and bed load transport rate (experiments in enviromental flow) were carried out at the outlet of the mountainous part of the Nestos River basin (northeastern Greece). In concrete terms, 68 measurements of stream discharge and bed load transport rate were carried out at a location near the basin outlet. Apart from the measurements, the bed load transport rate was computed using the Meyer-Peter-Muller formula, after calibrating the formula in terms of the roughness coefficient. Comparison of the results obtained from the computations and measurements of the bed load transport rate, based on well-known statistical criteria, were fairly satisfactory. Finally, we build an artificial neural network, a data-driven technique, and investigate how well this simulates the site-measured bed load transport rate values.