Master Degree / Yüksek Lisans Tezleri

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

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Subject: search.filters.subject.Energy performance analysis

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  • Master Thesis
    Comparatic-Ve Energy Performance Assesment of Hemp-Clay as Building Block Material
    (01. Izmir Institute of Technology, 2022) Akkurt, Sedat; Durmuş Arsan, Zeynep; Durmuş Arsan, Zeynep; Akkurt, Sedat; 03.09. Department of Materials Science and Engineering; 02.02. Department of Architecture; 03. Faculty of Engineering; 01. Izmir Institute of Technology; 02. Faculty of Architecture
    Bio-based and earthen building materials have recently started to be used again in seeking sustainable materials to combat climate change. Hemp-based building materials stand out as energy-efficient materials due to their favorable thermal properties, although they still have unstandardized features that vary by location. This study aims to investigate the thermal properties and energy performance of hemp-clay building blocks which are produced with local hemp and clay in the western Aegean region of Turkey for today and the future, leading up the research on hemp-based building materials in the Mediterranean region. The methodology of the research consists of laboratory experiments on material and building energy simulations via DesignBuilder software. Building block samples were produced with 27 different hemp-clay mixtures and tested using a quick thermal conductivity meter. Subsequently, the thermal performance of selected hemp-clay block was compared with conventional wall infill materials such as hollow clay brick, autoclaved aerated concrete, and lightweight pumice block via simulations of the annual energy consumption of an existing residential building in Izmir. Simulation scenarios were generated keeping wall thickness and U-value as constant for the climate of 2020, 2050, and 2080. Hemp-clay building blocks reduced the heating and cooling demands of the case building by 21% and 14%, respectively in 2020. Their energy performance outperformed the other materials' performances even if the scenario walls have the same U-value as hemp-clay walls in today's and the future's climate conditions. Consequently, the hemp-clay building blocks are apparent as a promising material to be improved in Turkey.
  • Master Thesis
    Performance Assessment of a Binary Cycle Geothermal Power Plant
    (Izmir Institute of Technology, 2013) Karadaş, Murat; Çelik, Hüseyin Murat; Çelik, Hüseyin Murat; 02.03. Department of City and Regional Planning; 02. Faculty of Architecture; 01. Izmir Institute of Technology
    An air cooled binary cycle GPP is thermodynamically modeled by using the design data of an actual plant. Effects of design parameters are investigated to plant performance. The modeling binary cycle power plant is produced 6514 kWe by using 542.65 ton/hour brine, 22.45 ton/hour steam and 33.4% NCGs content of steam at 157.9 °C geothermal resource temperature and 17.1 °C average ambient air conditions. The thermal efficiency of the model plant is found 11.32 %. The performance equations and the theoretical net power correction factors of the plant are created by using the thermodynamic model. According to this model, the net power generation of the plant increases with an increase in brine temperature, and mass flow rates of brine and steam; decreases with an increase of ambient air temperature and NCGs content of the steam. Furthermore, regression analysis of DORA-1 GPP is conducted using actual plant data to assess the plant performance. The annual multiple linear regression models are developed from 2006 to 2012 to estimate the performance of a geothermal power plant by using three measured dependent variables: the ambient air temperature, the brine flow rate and temperature. These models are tested by using classical assumptions of linear regressions, positive serial autocorrelation is found in all models. Autocorrelations are eliminated by using Orcutt-Cochran method. Although the performance model trends from 2006 to 2008 are found to be close, the performance status of the plant is generally variable from year to year. According to perennial regression models, the plant performance has started to decline with 270 kWe electricity generation capacity since 2009. The total degradation of the plant performance reached to 760 kWe capacity by 2012. Additionally, the statistical net power correction factors are calculated using regression model of 2008. Consequently, the net power correction factors for thermodynamic model and regression analysis are compared with DORA-1’s manufacturer, Ormat, correction factors. Although there are some minor differences, all of the net power correction factors have similar trends. The comparison shows that Ormat’s correction factors don’t exactly express the performance status of the DORA-1 GPP.