Mimarlık Bölümü Yayın Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/397
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Article Citation - WoS: 4Effects of Occupant Behavior on the Energy Performance of Dwellings: A Sensitivity Analysis(Locke Science Publ Co inc, 2016) Harputlugil, Gulsu Ulukavak; Bedir, Merve; 36110This paper focuses on the influence of occupant behavior on the energy performance of dwellings in the Dutch context. The aim of this study was to identify, how the energy performance of a dwelling is sensitive to the behavior of its occupants. To this end, the study's methodology adopted the Monte Carlo method of analysis, one of the most commonly used means of analyzing the approximate distribution of possible results on the basis of probabilistic inputs. Data related to occupant behavior were generated from a survey of 313 households in The Netherlands. The Dutch reference row house was used to test the behavioral patterns, and the test results were determined through simulation-based modeling. The key input parameters were presence, heating control patterns (thermostat and radiators), and ventilation control patterns (windows, grilles, and mechanical ventilation), while minimum indoor resultant temperature and heating energy demand served as the key output parameters. The results showed that both heating energy demand and minimum indoor resultant temperature were most sensitive to the thermostat setting and most robust in relation to the radiator setting.Conference Object Citation - Scopus: 0Re-thinking of energy consumption classification by the patterns of occupant behaviour in dwellings: A conceptual framework(Free University of Bozen Bolzano, 2015) Harputlugil, G.U.; Harputlugil, Timuçin; Harputlugil, T.; 40295; 36110; MimarlıkThe aim of this paper is to present the conceptual framework of a TUBİTAK funded project titled "Developing a New Methodology to Improve Housing Quality in Turkey Based on Effects of Occupant Behavior on Energy and Comfort of the Dwellings". Although the objective of the project is the development of new methodologies and tools to be used for the definition of effects of behavior profiles of housing occupants on the energy consumption and usage of this knowledge for building new houses and renovation of existing buildings, here the first step of research has been executed. By defining sensitivity of occupant behavior on energy consumption, it is planned to classify different models of occupant behavior. With data provided, the aim is to develop an "occupant behavior labeling" which rates occupants instead of buildings. To provide the mentioned data, sensitivity analysis of existing occupant behavior will be analysed based on the Monte Carlo Methodology. This methodology is one of the most used methodologies to analyse accurate distribution of possible outputs relied on inputs based on probability. Inputs for this research are (1) number of occupants for each space (for weekdays and weekend) (2) behaviour for ventilation (Window open/closed and mechanical ventilation on/off) (3) control of heating systems (radiator on/off and/or thermostat degree). These data will be provided with survey and data logging of chosen a house occupant group. As a consequence of the research, the aim is not only to rate the behavior of housing occupants but also determine occupancy groups/labels. With this approach, based on occupant's behavior labeling, the aim is to realize fast and affective applications for renovation of existing buildings. Moreover, by evaluation/assessment of houses which will be designed in the future based on determined occupant profiles allow to produce high performance dwellings. © 2015 by Bozen-Bolzano University Press Free University of Bozen-Bolzano All rights reserved.