Using FDS to Predict the Leakage of Natural Gas Pipeline

• Main Authors: LIN, CHIN-MEI, 林金梅
• Other Authors: CHANG, HUI-PEI
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/24z7ke

碩士 === 長榮大學 === 職業安全與衛生學系碩士在職專班 === 106 === In industrial processing, it is common to use piping for raw material or chemical transport. Some pipes are distributed within or outside the plant; many pipes also pass through downtown areas or highly populated areas, while most pipes are either above or below ground. Natural gas power generation processes have everyday maintenance operations, which are performed based on maintenance schedules for the process units. The power generation units are stopped for maintenance to keep their reliability. During annual repairs of the units, the natural gas pipes are maintained, tested, and reinforced for process safety. On the whole currently, natural gas power generation units in Taiwan rely on natural gas pipes to transport fuel, if the pipes were to malfunction and be unable to supply fuel, it would cause an interruption in the production. If production cannot be restored in a short amount of time, it would result in severe losses. This research mainly discusses the safety management of underground piping. If an accident were to occur in underground piping that passes through highly populated downtown areas, it would endanger public safety as well as possibly trigger a series of losses. For companies, damage control and reconstruction costs are enormous and could heavily impact the culture and image of the company, therefore the management of piping and facilities as well as maintenance of equipment is essential to a company. Immediately effective and reliable piping testing methods are critical for inherently safe operations. Performing PIG corrosion testing for underground pipes, while also using FDS computer software to estimate fire and explosion hazards of natural gas emissions before construction can aid in determining if the amount of natural gas emissions can be controlled within a reasonable range. Simultaneously, using the safety management methods of other factories as reference can allow for the discussion of an practical and optimal safety and health management system to elevate disaster prevention.