Among the Greek islands, 61 are based-currently-on autonomous electrical systems for covering the electrical energy demand and are characterized as Non-Interconnected Islands (NII). The average electricity production cost in the NII is 2.5 times higher than in areas with access to the main, interconnected electricity grid (IEG) of Greece. In this paper, an analytic overview of the autonomous electricity systems of Greek islands is provided, focusing on electricity consumption and production, as well as on the relative costs. For investigating possibilities for improving the situation, especially in small, remote islands, simulations for the energy system of Astypalea are conducted. It is proved that further use of renewables in combination with energy storage can lower the current, high energy costs. Expansion of the IEG is not economically viable for islands which are far away from the mainland and their peak loads are less than 10 ΜW.
In many European countries, energy poverty is measured on the basis of real energy bills, as theoretical energy costs are hard to calculate. The UK is an exception—the data inputs for the Low Income-High Cost (LIHC) indicator are based on reasonable energy costs, these data are collected through specially designed surveys, often an intensive and costly procedure. Approaches which calculate energy needs are valid when energy bill data are unreliable or where households restrict consumption. In this analysis, energy poverty levels are evaluated for Greece, the municipality of Évora (Portugal), and the Basque Country (Spain): energy bills are modeled based on building energy performance data and other energy uses, and adjusted according to socio-demographic variables. To this end, equivalization weights are calculated using socio-economic data from the aforementioned southern European countries/regions. Data are analyzed to compare measurements with actual versus modeled bills using the Ten-Percent Rule (TPR) and Hidden Energy Poverty (HEP) against twice the median (2M) indicator, enhancing the identification of households with low energy consumption. In conclusion, theoretical energy needs can be combined with socio-demographic data instead of actual energy bills to measure energy poverty in a simplified way, avoiding the problem of targeting households that under consume.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.