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Inspection Scheduling Decision Model at CNG Charging Station Using Risk Based Inspection (RBI) Method 1Department of Industrial Engineering, Universitas Muhammadiyah Magelang, Indonesia Abstract Most of the transportation industry is still dependent on fossil fuels. The use of fuel oil in the transportation industry has a negative impact on environmental pollution because fuel oil contains CO2. With the increasing use of fuel oil and environmental pollution problems, Compressed Natural Gas (CNG) is now being developed in the transportation industry. When compared to fuel oils such as gasoline, diesel, and Liquified Petroleum Gas (LPG), CNG emits less harmful gas during combustion. CNG distribution requires a storage device, namely a buffer storage tank which is a closed vessel to accommodate liquids and gases with different temperatures and pressures according to environmental conditions. Buffer storage tanks have a very large risk of accidents including leaks that pose a hazard of fire, explosion, and environmental pollution, which has an impact on technical and financial aspects. Seeing the risks posed by the buffer storage tank, it is necessary to take precautions, inspections, and maintenance to minimize the risk of accidents. This research plan proposes a calculation model using a tool developed based on the RBI method with the API 581 standard in analysing the level of risk of leakage and the economic consequences of CNG buffer storage tanks. This research is expected to be able to produce an appropriate inspection scheduling decision model for CNG buffer storage tanks and recommendations for preventive actions based on leakage risk and financial aspects. Keywords: Buffer Storage Tank, RBI, CNG, Economic Consequence, Leakage Consequence Topic: Engineering |
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