Μοντελοποίηση της ενεργειακής ζήτησης στον οικιακό τομέα της Ελλάδας

Abstract

Increasing shares of renewable energy sources and managing total demand are considered pivotal for energy transitions that fundamentally re-envisage the electricity system. A challenge of such transitions is integrating and absorbing increased shares of non-dispatchable renewable energy sources, without jeopardizing the security and the reliability of the electricity system. To this end, key solutions include the introduction of demand-side management technologies and practices. To appreciate the impact of adoption of such technologies it is necessary to fully understand the multi-energy aspects of such technologies, and indeed of any other domestic energy service demands. Such holistic treatment is necessary to fully capture the effects of coincidence in various energy service demands within and across dwellings. As a result, modeling of energy demand and understanding consumption patterns in the residential sector are of crucial importance to quantify the benefits of demand-side management technologies and practices, especially towards the achievement of national targets, in the context of European efforts to achieve climate neutrality by 2050. Building on the latter, the aim of this diploma thesis is to model the energy demand in the residential sector in Greece. To do so, the Dynamic high-Resolution dEmand-sidE Management (DREEM) model is used, parameterized according to existing survey and census data for the Greek residential sector. Results demonstrate the model’s capacity to accurately represent demand patterns for Greek dwellings, highlighting load peaks, for the four different climate zones in Greece, attributed to the different weather boundary conditions and/or different occupancy profiles. Overall, this thesis seeks to provide a first overview on the energy demand modeling necessary, in a series of efforts to quantify the impact of different energy efficiency measures towards the achievement of the respective national targets by 2030, also providing end-users from the field of policy and practice with specific recommendations and useful insights.