Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

Browse

Filters

2006 - 200922020 - 20231

Settings

Publisher: search.filters.publisher.National Technical University of Athens

Search Results

Now showing 1 - 3 of 3
  • Conference Object
    The Challenges and Advantages of Macro Modeling in Ansys Software for Seismic Vulnerability Assessment of Historic Masonry Structures
    (National Technical University of Athens, 2023) Demir, Hatice Ayşegül; Yücetürk, Kutay; Aktaş, Engin; Hamamcıoğlu Turan, Mine
    This study aims at creating an advancement guideline for a software which can be used for seismic vulnerability assessment of historic masonry structures by revealing the results of an experience related to the macro modeling of a historic masonry building. The case study structure is Bergama Bedesten (15th-16th centuries) located in Bergama, Izmir, Turkey. ANSYS software is used for the Finite Element Modeling of the structure. The seismicity at its location is determined and the structural response under lateral loads is obtained together with the dynamic characteristics. Mesh design, component creation according to the used material change in structural elements, contact surface identification, the arrangement of the stress scales, and result interpretation are realized. For these stages, the challenges are discussed with the solutions. The advantageous aspects of the software are explained. For the challenges, in mesh design, the ineffectiveness of cartesian method for some elements was detected and tetrahedrons method was chosen. In contact surface identification, the overlapping portions of structural components could not be detected by the software exactly, so the manual surface separation was realized. In the stress level interpretation, the lack of assignment for material limit strength values to the analysis scale was experienced and the addition of limit values was carried out. The scale also needs manual arrangement for the increase of interval numbers of stress values to emphasize vulnerable zones. This flexibility of scale to be arranged can be seen as an advantage, as well. The 3d section and axonometric view creation provide the presentation of stress changes at inner and outer surfaces of the structure which is another positive side. © 2023 COMPDYN Proceedings. All rights reserved
  • Conference Object
    Heat Load Factor for Geothermal District Heating System Design
    (National Technical University of Athens, 2006) Yıldırım, Nurdan; Gökçen, Gülden
    Design of heating systems using conventional fuels is based on peak load which is calculated according to the coldest outdoor design temperature. But in geothermal district heating system design it is common practice to use a heat load factor between 0.6-0.7 since the resource is continues, cheap and system can be run for 24 hours a day. Heat load factor can be defined as a ratio of actual heat load to design heat load of the system. In this study, a geothermal district heating system is designed for Izmir Institute of Technology Campus, Izmir, Turkey and simulated for a heat load factor range of 0.5-1. For the Campus case, the heat load factor is determined as 0.53-0.0.67 based on indoor air temperature and operational cost.
  • Conference Object
    Cash Flow Forecasting by Using Time Series Methods in Geothermal District Heating Systems: Balcova - Narlidere Case
    (National Technical University of Athens, 2006) Erdoğmuş, Abdullah Berkan; Özerdem, Barış
    Cash flow forecasting is one of the difficult and important tasks in an economic evaluation of a geothermal investment. Geothermal district heating systems are characterized by a high capital cost. In addition, relatively low operation and maintenance costs occur throughout their life. The aim of this research is to estimate the potential cash flows for Balcova - Narlidere Geothermal District Heating System by using historical data accumulated over a period of time and several forecasting methods: moving average, exponential smoothing, adjusted exponential smoothing and curve fitting functions. Mean absolute percentage deviation (MAPD) which is the most common approach to select the appropriate method to a particular time series is used in the selection of the most suitable model. Alternative methods are compared with each other regarding to their MAPD values. It is found that the models represented by exponential curve fitting functions have smaller MAPD values and give better results in cash flow forecasting of investment investigated.