A Simulation supported chimney design application for greener buildings

Exhaust gases emitted by heat sources must be discharged into the atmosphere in the most dependable manner possible without endangering human health. This is possible because the chimneys are connected to the heat source. There are some guidelines for locating chimneys in relation to existing structures, determining the minimum height, and calculating the chimney section. The performance of the heat source is also directly affected by the correct sizing of the chimneys. The large diameter of the chimney at a fixed height causes hot air inside the heat source to be thrown into the atmosphere more than necessary, resulting in incomplete combustion formation and additional cost. A small chimney diameter affects the device\u27s combustion performance and causes efficiency loss. The ideal chimney diameter should be chosen with the existing conditions in mind. There are numerous calculation programs available for checking chimney diameter on a computer. In this study, the performances of chimney building materials and chimney type alternatives that can be used for the most environmental chimney design in a planned building in Malatya province of Turkey were investigated. Boilers for the building are designed as solid fuel (coal). The calculations have been expanded so that the boiler capacities are between 100.000 kcal/h and 250.000 kcal/h, taking into account the variability of the usable energy amounts in the planned building. The analysis was carried out for comparison using the Kesa-aladin calculation program, which was accepted by Europ

A Datamining Based Decision Support System For Fruit Manufacturing

Agricultural activities provide one of the main sources of living in many regions of the world. Such products play significant roles for the survival of living organisms. Farmers all around the world work towards reaching their economic goals through agricultural activities. By doing this, they invest both their capital and time. In some occasions, such investments end up with serious losses and planted products either grow in low levels or do not grow at all. In this study, in order to avoid such situations and guide the investors intelligently, a decision support system based on decision tree is developed. Related parameters in accordance with the climatic and geographic characteristics of the region are determined within this proposed system. Then, appropriate types of fruits are proposed to the users as the outcome of the system based on these parameters. By doing this, producing more efficient and profitable products is aimed