The TNO multi-energy method combined to mathematical programming and computational fluid dynamics for optimisation of gas detectors |
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| Institution: | 1. College of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo, 454003, Henan, PR China;2. State Collaborative Innovation Center of Coal Work Safety and Clean-efficiency Utilization, Jiaozuo, 454003, Henan, PR China;3. State Key Laboratory Cultivation Base for Gas Geology and Gas Control, Jiaozuo, 454003, Henan, PR China;1. Department of Safety, Health and Environmental Engineering, National Kaohsiung University of Science and Technology, 1 University Road, Yanchao District, Kaohsiung, Taiwan, ROC;2. Occupational Safety and Health Administration, Ministry of Labor, 439 Zhongping Road, Xinzhuang District, New Taipei, Taiwan, ROC;1. Institute for High Integrity Mechatronic Systems, University of Applied Sciences Aalen, Beethoventraße 1, 73430, Aalen, Germany;2. Advanced Mechatronics GmbH, Robert-Bosch-Straße 6, 73460, Hüttlingen, Germany;1. College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, China;2. Saifeite Engineering Group Co. Ltd., Qingdao, 266061, China;3. Department of Safety, Health, And Environmental Engineering, National Yunlin University of Science and Technology, Yunlin, 64002, Taiwan, ROC |
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| Abstract: | Gas leakage is a matter of concern for several industries such as oil and gas, mining, food, and healthcare. When the industry considers gas detectors, the main questions are: How many gas detectors are required? Where is the best location to install them? To answer these questions Computational Fluid Dynamics (CFD) simulations and optimisation procedures are employed to calculate the plume location and plume volume to better position the gas detectors. We investigated how the optimisation cell size for the set covering problem can be calculated based on a given explosion overpressure threshold. Resorted by the multi-energy explosion model, we calculate the flammable cloud volume associated with a pre-defined overpressure value. The cloud volume is applied in the solution of the set covering problem and an optimal set for the gas detectors is obtained. The final gas detector network (number and location of the devices) is validated against CFD simulations for small releases. The results provide evidence that the optimal gas detector networks is able to detect gas leaks within a feasible time. |
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| Keywords: | CFD Gas dispersion TNO-Multi-Energy method Gas detectors |
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