Kocaman, Ayşe Selin2020-02-062020-02-0620191300-1884http://hdl.handle.net/11693/53129There is a need for energy models that include renewable energy sources to reduce the role of fossil fuels in electricity generation. However, renewable energy sources are intermittent and cannot be predicted precisely. Designing hybrid systems that combine alternative resources and energy storage helps reduce the intermittency of renewable sources and result in cost effective and reliable solutions. The most widely used energy storage form in the World is to store the potential energy of water in the pumped hydroelectricity systems (PHES). Pumped hydroelectricity systems can be designed in two types: mixed systems, if there is a natural water inflow to the system and pure systems, if the system is closed to water inflow. In this study, we present two-stage stochastic programming models for both types of PHES, which take into account the uncertainty of resources and electricity demand. For the first time in the literature, we consider the sizing problem of hybrid systems that include solar generation supported by pure and mixed PHES systems separately and present the results for Turkey, which currently does not have any PHES system and highly depends on fossil fuels for electricity generation, despite of the rich renewable energy potential.TurkishHybrid energy systemsPumped hydroelectricity systemsRenewable energyTwo-stage stochastic programmingOptimization of hybrid energy systems with pumped hydro storage: a case study for TurkeyPompaj depolamalı hibrid enerji sistemi optimizasyonu: Türkiye için vaka analiziArticle10.17341/gazimmfd.416461