Master Degree / Yüksek Lisans Tezleri

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

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Subject: search.filters.subject.Buildings, Energy consumption

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  • Master Thesis
    Optimization of cooling energy consumption and thermal comfort in existing residential buildings against climate change: A case study in Mediterranean climate
    (2023) Uçaryılmaz, Sedef; Arsan, Zeynep Durmuş
    The built environment is at risk of facing significant impacts due to climate change and extreme weather occurrences. An adverse consequence of climate change on the construction industry is the degradation of thermal comfort within buildings, leading to increased energy usage for air conditioning. Because existing residential buildings are unprepared for the future climate. The Mediterranean climate is one of the climate classes that will be mostly affected by the global climate, especially in terms of temperature increases. Yet, to access sensitive and accurate climatic data and find the best retrofit scenarios is problematic. Two IoT devices were used in this study to overcome this problem. This study aims to observe and minimize the energy consumption and thermal heat comfort of the flat on the ground floor of a 3-story residential building located in Aydın province, which has a Mediterranean climate, against climatic conditions. In the study, climate predictions for 2049-2050 and 2079-2080 were also made, and it was investigated whether the currently optimized building would remain optimized in future climate conditions. According to the results, while the cooling energy consumption of the currently optimized building decreased by 43% compared to the base case, it decreased by 25% according to the 2049-2050 climate predictions and by 8% according to the 2079-2080 climate predictions. There was no visible change in discomfort hours. In the separate optimization results for the 2049-2050 and 2079-2080 periods of the building, which could not remain optimized according to future climate conditions, a 30% and 21% decrease in cooling energy consumption was observed, respectively, compared to the base case. There was no visible change for discomfort hours. According to this study, it was concluded that the building should be re-optimized in future climate scenarios.
  • Master Thesis
    An Investigation Into the Building Performance Impact of Occupant Behavior Through Energy Simulations
    (2023) Demir, Rümeysa; İlal, Mustafa Emre
    The building industry greatly impacts worldwide energy consumption. Residential energy use is significant, making it a key area for energy efficiency and environmental concerns. Building simulation tools are used to predict energy consumption. One shortcoming of simulations that are employed is that building occupants are assumed to behave uniformly. This study explores the potential of including variability of occupant behavior in building simulation models and its impact on the accuracy and reliability of simulation results. Actual consumption data and energy simulation results are used in tandem to investigate this topic. The first phase involved a seven-week monitoring program in a dormitory where each room was equipped with an independent air-conditioning unit. The goal was to record and analyze electricity consumption that included this heating system. The second phase of the study explored occupant behavior. Each room was simulated using schedules representing three different behavior patterns: frugal, standard, and wasteful. Finally, simulation results are compared with actual data. The margin of error in the DesignBuilder standard scenario varies between 4% and 38%, while the average margin of error is 16%. In the frugal scenario, occupants could save 30% to 70% of their energy, with an average savings of 50% possible. For the standard scenario, rooms offer an average saving potential of 16%, and in the wasteful scenario, only one room offers a saving potential of 13%. The results of the study underlines the need for considering the variability in occupant behavior in simulation models.