Master Degree / Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/11147/3008

Browse

Filters

2016 - 201912020 - 20231

Settings

Access Right: Embargoed AccessAuthor: search.filters.author.Durmuş Arsan, Zeynep

Search Results

Now showing 1 - 2 of 2
  • Master Thesis
    Optimization of Energy Consumption and Thermal Comfort in Historic Buildings: Case Study of İzmir National Library Building, Türkiye
    (01. Izmir Institute of Technology, 2023) Özsavaşcı, Umut; Durmuş Arsan, Zeynep; Gökçen Akkurt, Gülden
    The 'library,' as a building type, is the visiting space of researchers and storage space of wisdom of past and present thinkers. Historic libraries host unique pieces of cultural heritage such as books, manuscripts, documents, maps, artifacts, paintings, sculptures, and frescos from the previous generations. The thesis aims to reduce energy consumption and improve occupants' comfort while paying attention to degradation risks of paper-based collections in the historic İzmir National Library Building, Türkiye. Thus, it examines building retrofit actions with different impact criteria and conducts the optimization tool to define the most optimal ones. First, three degradation risk assessment procedures were determined for the paper-based collections of the İzmir National Library Building. Within the scope of the thesis, the library building was monitored between 01.10.2016 - 01.10.2017. According to the results of the monitoring process, mechanical, chemical and biological degradation risk analyzes were carried out. The digital simulation model of İzmir National Library was prepared in DesignBuilder v. 7.0.0.102 software and calibrated monthly for a year via hourly air temperature data. Three retrofit optimization scenarios, i.e. neutral, low and high risk impact criteria, were defined by grouping different design variables such as glazing type, exterior door material, pitched roof floor construction, exterior wall construction, heating set point and cooling set point of HVAC system. The objective of optimization was reducing energy consumption and discomfort hours at the same time. The simulation results showed that all three retrofit actions reduced energy consumption and discomfort hours. Scenario 3 was the most successful among other scenarios, providing energy savings by 26.6% and reducing discomfort hours by 80.3%, according to the base case. Besides, there was no significant change in the degradation risk analyzes according to the base case.
  • Master Thesis
    Energy and Environmental Performance Based Decision Support Process for Early Design Stage of Residential Buildings
    (İzmir Institute of Technology, 2016) Gerçek, Mümine; Durmuş Arsan, Zeynep
    Deficiencies in systematic approaches for design decision support to increase energy and environmental performance of buildings in Turkey are projected as the major problem of this study. Rare usage of computational methods for evaluating and improving building performance, need for informational assistance in design, as well as lack of interaction between systematic knowledge and building practice are the secondary problems. This thesis mainly aims to test usability of the decision support process assisting architects in early design stages of residential buildings. Assessing the uncertainties in building performance caused by design parameters and climate change, in terms of determining the most significant parameters on annual energy consumption for heating, cooling and operational CO2 emissions in hot humid climatic region of Turkey is the significant objective of the study. The relation between input parameters and building performance indicators is examined by the uncertainty and global sensitivity analyses for a residential building in İzmir, Turkey. The process is supported by usability testing held with the architect in practice. The results indicate that, the sensitivity between input and output parameters changes according to the projected weather conditions and different floors of the building. The SHGC of windows on south-west, north-east facades, and window U values are the most effective parameters on energy and environmental performance. The proposed decision support process is approved to be applicable for early design stages of the selected building, and helps creating consciousness about the importance of systematic design decision approach for the building professional.