Inestigation of the accumulating behaviors of volatile flammable gases by computational fluid dynamics simulation method

The gases we use in all areas of our lives have many dangers. Depending on the properties of the gases, they can be toxic, flammable/explosive and suffocating. Its usage areas are quite wide. It is mostly used in sectors such as Filling and Distribution Facilities, Natural Gas Power Plants, Oil Refineries, Transformer Stations and Workshops, Fuel Stations, Chemical Industry. In our daily living spaces, natural gas entered our kitchens and living rooms as LNG. Different methods are used to protect from the dangers of these gases. The most common are early warning systems in the event of a gas leak. The effectiveness of these methods used depends on knowing the behavior of the gas that will cause the potential hazard. Incorrect measures can be ineffective, ineffective and create a dangerous situation. For this reason, it should be known where the gas that will pose a risk will accumulate and how it will behave. In addition to these behavioral characteristics, the physical environment of the gas is also important. In this study, especially explosive gas was investigated. Explosive gases have been classified as heavier-than-air and lighter-than-air. Therefore, the distribution of a gas in a closed space varies according to the type and density of the gas. Various gas detectors depending on a gas type are used to detect gas leaks. The most important point for a gas detection system is location of the gas detectors. Early measures can be taken by measuring gas leaks with the help of correctly positioned gas detectors. The location of the gas detector varies according to the type of gas, its density and the physical structure of the space and depends on the type of gas, desired to be detected. Early detection of gas leaks minimizes material and moral damages and reduces the risk of fatal accidents. In this study, the accumulation behavior of volatile-combustible gases was monitored using the computational fluid dynamics simulation method for the methane gas sample. Eight measurement points at different heights are defined in a closed cabinet. The closed area is defined as a room and the measuring points are defined as gas detectors. The closet cabin was created, and gas detectors were prepared using the 3-dimensional Solidworks software. A scenario was created in computer environment with FDS software and PyroSim was used for modelling. Obtained data was analyzed with help of the Smokeview software. Our findings showed that the gas detector closest to the ceiling detected methane gas the earliest.