Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Makina Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2014
Öğrenci: KORAY TAŞTANKAYA
Danışman: İLKER TARI
Özet:Renewable energy usage has become widespread and gained world-wide importance lately. In order to get high quality power from renewable energy sources to the grid, bulk energy storage system will be required as a buffer, due to the intermittent nature of renewable energy. Advanced adiabatic compressed air energy storage (AA-CAES) technology is uniquely different from conventional energy storage techniques for renewable energy in that it captures and stores the heat generated during the compression cycle and releases this heat in the expansion cycle. In this thesis, a new method is developed for sizing and assessment of adiabatic compressed air energy storage system (AA-CAES) as a buffer for wind energy production taking into consideration the indeterminacy of the wind resource and variations in electrical demand. In this methodology, a specific place in which the wind farms and very large air storage cavern are located is selected for the system construction. For that specific place, the hourly electricity production for the wind farm is calculated according to wind speed taken from TMY2 data by using power output graph for specific wind turbines. Additionally, hourly power consumption of the selected place is taken according to energy consumption data of the selected place. These generation and consumption values are compared and hourly energy storage and energy production algorithms are developed. For this method, components used during the energy production and storage process such as compressor, turbine and thermal energy storage tank are separately examined and modeled in MATLAB software platform. According to the energy production and storage algorithms, sizing of packed bed thermal energy storage tank and air storage cavern are studied by using a simplified packed bed thermal energy storage method, and this method is verified with experimental data in the open literature. In addition, several parametric studies related to the sizing and properties of the system components are performed and the effect of these to the system performance is evaluated. Finally, the total system efficiency is calculated and compared with existing AA-CAES concepts. To demonstrate this method, the power generations of DARES Datça wind farm according to TMY2 data and power consumption of Datça peninsula, which is calculated indirectly from total Aegean Region power consumption data, values are used as input values.