PhD's

Thus, the subject of the thesis is the modeling of the required energy consumption at country level and the correct application of the definition of energy poverty. At the same time, such a model leads to the parameterization of the factors contributing to energy poverty, as well as to the determination of their weighting factors. The above goals are achieved through the development of the Stochastic Model of Energy Poverty (SMEP). The model was developed for Greece, as a country-level application. As a case study, the mountainous population of Greece was selected, as a population group particularly vulnerable to energy poverty, but also due to the high importance of mountainous regions of the planet. Through the development of the model (SMEP), a more accurate estimation of energy poverty is achieved, the weighting factors of the various parameters affecting energy poverty at a given country are determined and underestimated but important aspects of energy poverty are highlighted, through the introduction of new indicators.

The integrated system entitled IDPSS (Integrated development Planning Support System) is based on the synthesis of interdisciplinary research with advanced technologies (Planning support systems, Spatial decision-making systems, Exert Systems) in the light of an integrated development cadastre. Key features are the use of qualitative and quantitative research approaches, the use of objective and subjective indicators and the integrated synthesis of research data. The system allows the incorporation of any development objective related to a specific group of people or a certain area of any size (neighborhood, community, municipality, region). The system was constructed in three stages. In the first stage, a mixed method strategy was conducted by an Interdisciplinary Research Team aiming at investigating factors that tend to play an important role in the well-being, local psychical and socio-economic features, political will of authorities, social consciousness about the problems, constraints, opportunities and prospects and social dynamics for development of the study area. In the second stage, a knowledge base for the study area, based on triangulation and descriptive statistical analysis, was created. In the third stage in order to develop the decision making system, linkages between variables were elaborated with bivariate and multivariate statistical analysis and logical chains of linked variables, from the level of outputs to the level of overall improvement of life satisfaction, were substantiated thought means-ends analysis.
This integrated tool can help development actors to identify appropriate development strategies for different social groups, assess benefits, and clarify connections between outputs and their intended effects on selected development objective.

In the area of Metsovo, which has been used as a case study, environmental economics surveys have been conducted, in order to directly estimate the externalities of “green” energy investments in the area. After testing the energy optimization model in Metsovo, it is generalized. A hypothetical settlement is created and so, various “mountain” characteristics are introduced in the decentralized energy planning process. In this way, their influence on energy planning is assessed.