Search

Housing production has increased rapidly, with the rapid increase of the world population and industrialization. Designing houses, which are produced in large numbers and intensively, by ignoring the characteristics of the climatic region is effective in the increase of energy and environmental problems. The climatic design, which is made by considering the climatic characteristics of the inhabited region, aims to design the buildings climate responsive and energy efficient. The parameters that are effective in climatic design are mainly; climatic conditions related to the external environment and parameters related to the built environment such as location, orientation, building form, space organization, building envelope (facade), natural ventilation, natural lighting, solar control. Considering that design parameters related to the built environment may have limiting effects on climatic design, the design process becomes an iterative process in which many criteria are observed. In order to choose between these criteria, support systems are needed to identify alternatives and analyze them simultaneously. Most of the energy consumed in houses is through the façades, which is an important design parameter as it separates the interior and exterior environment from each other. In this study, it is aimed to carry out the sensitivity analysis stage in order to create a decision support system model that can produce optimum facade design solutions in order to reduce energy consumption. [ABSTRACT FROM AUTHOR]

Aircraft parking space assignment is the problem of assigning aircrafts to bridge-equipped or remote parking positions under a number of objectives and constraints. The main objective is to maximize the number of aircrafts assigned to bridge-equipped parking positions. Besides this, the efficient use of parking positions, walking distance of passengers, timetables of the flights, and compatibility of aircrafts with the parking positions are also considered. There are a number of problematic issues in Esenboğa Airport of Ankara where the assignments are made manually. A mathematical programming formulation as well as a heuristic algorithm is developed for the problem, which is coded in Java programming language. According to the tests performed using real life data, the number of aircrafts assigned to bridge-equipped parking positions is increased by 7% using the mathematical model and by 5% using the heuristic in comparison to the current system. Furthermore, the solution time is reduced from the current 4 hours to 1 minute using the mathematical model and to 8 seconds using the heuristic. Large number of parametric analysis are performed in order to improve the system performance even further and to determine the sensitivity of the solution methods to problem parameters. [ABSTRACT FROM AUTHOR]