Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Citation - WoS: 12Citation - Scopus: 13Assessment of Thermal Comfort Preferences in Mediterranean Climate a University Office Building Case(Vinca Inst Nuclear Sci, 2018) Turhan, Cihan; Gökçen Akkurt, GüldenThis study aims at evaluating the perceived thermal sensation of occupants with respect to thermal comfort standards, ASHRAE 55 and ISO 7730, for office buildings located in Mediterranean climate. A small office building in Izmir Institute of Technology Campus Area, Izmir, Turkey, was chosen as a case building and equipped with measurement devices to assess thermal comfort of occupants with respect to predicted mean vote and actual mean vote. Both objective and subjective measurements were conducted. The former included indoor and outdoor air temperature, mean radiant temperature, relative humidity and air velocity that were used for evaluating the thermal comfort of occupants. Oxygen concentration which can play an additional role in thermal comfort/discomfort, health and productivity of the office occupants, was also measured. Furthermore, occupants were subjected to a survey via a mobile application to obtain subjective measurements to calculate actual mean vote values. Based on objective and subjective measurements, the relationships among the parameters were derived by using simple regression analysis technique while a new combined mean vote correlation was also derived but this time by using multiple linear regression model. Neutral and comfort temperatures were obtained using indoor air temperature and actual mean vote values which were calculated from subjective measurements. The results showed that neutral temperature in the university office building was 20.9 degrees C whilst the comfort temperature range was between 19.4 and 22.4 degrees C for the heating season. By applying new comfort temperatures, energy consumption of the case building located in Mediterranean climate, can be reduced.Article Citation - Scopus: 1The Impacts of Window To Wall Ratio and Window Orientation on Building Energy Consumption and Co2 Emissions Under Climate Change(Inderscience Enterprises, 2019) Gerçek, Mümine; Güçü, İlkerDecisions about the openings of the buildings play crucial role for improvements in recent and future energy and environmental performance characteristics. Therefore, the effects of window to wall ratio and window orientation on building annual heating, cooling energy consumptions and operational CO2 emissions are investigated regarding recent (2018) and future weather conditions (2050s and 2080s) of Izmir. The simulation model of a typical office building is created, and several scenarios are generated, including four facade orientations and different window to wall ratios, simultaneously. Then, the impacts of retrofits in window characteristics on building performance under climate change are examined for Izmir and Ankara. Finally, the results are evaluated in terms of different weather conditions to reach the most efficient opening design alternative. Considering the average life time of buildings, the outcomes of this study can be used as additional data for understanding the relation between transparent surface design and energy, environmental performance of buildings.Article Citation - WoS: 31Citation - Scopus: 37Application of Artificial Neural Networks To Predict Prevalence of Building-Related Symptoms in Office Buildings(Elsevier Ltd., 2008) Sofuoğlu, Sait CemilArtificial neural networks (ANN) were constructed to predict prevalence of building-related symptoms (BRS) of office building occupants. Six indoor air pollutants and four indoor comfort variables were used as input variables to the networks. A symptom metric was used as the measure of BRS prevalence, and employed as the output variable. Pollutant concentration, comfort variable, and occupant symptom data were obtained from the Building Assessment and Survey Evaluation study conducted by the US Environmental Protection Agency, in which all were measured concurrently. Feed-forward networks that employ back-propagation algorithm with momentum term and variable learning rate were used in ANN modeling. Root mean square error and R2 value of the simple linear regression between observed and predicted output were used as performance measures. Among the constructed networks, the best prediction performance was observed in a one-hidden-layered network with an R2 value of 0.56 for the test set. All constructed networks except one showed a better performance than the multiple linear regression analysis.Article Citation - WoS: 39Citation - Scopus: 48The Indoor Environmental Index and Its Relationship With Symptoms of Office Building Occupants(Taylor and Francis Ltd., 2004) Moschandreas, Demetrios J.; Sofuoğlu, Sait CemilAn index for indoor environmental quality, the Indoor Environmental Index (IEI), was developed. This study aggregates the Indoor Air Pollution Index, an index found in the literature, and a new index: the Indoor Discomfort Index. The average of these two indices is the IEI, which is calculated using concentrations of eight pollutants and two comfort variables measured in 100 office buildings in the United States. The database used was developed for the U.S. Environmental Protection Agency Building Assessment Survey Evaluation study. A symptom index also is developed to denote persistent occupant symptoms. The IEI and the symptom index are used to investigate the relationship between indoor environmental quality and symptoms. Two simple linear regression models were formulated; these models explain 67 and 79% of the variation in the average symptom index, with the variation of the average IEI depending on the method of averaging used in the construction of the models. In addition, a conceptual explanation is provided for the empirical or regression models formulated. The IEI and the associated models relating indoor environmental quality with the office occupant symptom index may be used as management tools, as illustrated with an example.Article Citation - WoS: 37The Link Between Symptoms of Off Ice Building Occupants and In-Office Air Pollution: the Indoor Air Pollution Index(Blackwell Publishing, 2003) Sofuoğlu, Sait Cemil; Moschandreas, Demetrios J.The lack of an effective indoor air quality (IAQ) metric causes communication concerns among building tenants (the public),buildi ng managers (decision-makers),and IAQ investigators (engineers). The Indoor Air Pollution Index (IAPI) is developed for office buildings to bridge this communication discord. The index, simple and easily understood,employ s the range of pollutant concentrations and concentrations in the subject building to estimate a unitless single number,the IAPI,between 0 (lowest pollution level and best IAQ) and ten (highest pollution level and worst IAQ). The index provides a relative measure of indoor air pollution for office buildings and ranks office indoor air pollution relative to the index distribution of the US office building population. Furthermore,the index associates well with occupant symptoms,pe rcentage of occupants with persistent symptoms. A tree-structured method is utilized in conjunction with the arithmetic mean as the aggregation function. The hierarchical structure of the method renders not only one index value,but also several sub-index values that are critical in the study of an office air environment. The use of the IAPI for IAQ management is illustrated with an example. The decomposition of the index leads to the ranking of sampled pollutants by their relative contribution to the index and the identification of dominant pollutant(s). This information can be applied to design an effective strategy for reducing in-office air pollution.