Journal
ENERGY
Volume 215, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.119131
Keywords
Natural gas; Composition tracking; Pipe networks; Control volume method
Categories
Funding
- National Natural Science Foundation of China [51874323]
- National Major Science and Technology Projects of China [2016ZX05066005-001]
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The transient composition tracking method developed for natural gas pipe networks uses control volume and one-dimensional unsteady heat transfer models for simulation, enables real-time prediction of gas composition and consideration of its influence on property parameters. The method shows reliability and accuracy in case studies, but caution should be taken regarding the impact of injecting LNG/H-2.
A transient composition tracking method is developed for natural gas pipe networks. It adopts the control volume method for hydraulic simulation and a one-dimensional unsteady heat transfer model for thermal simulation. In order to model the junction in the network, a special grid is proposed to connect all adjacent pipes together. Under this grid, the momentum equation could be discretized by the first order upwind scheme while the mass equation could be discretized just like an ordinary pipe node. To track the composition, the advective concentration equation is given for each component. Therefore, the gas composition in the pipe network could be predicted in real time and its influence on the calculation of property parameters could be taken into consideration. Based on these models, a transient composition tracking algorithm is developed for natural gas pipe networks. It consists of three parts: transient flow simulation, composition tracking and parameters calculation. Case studies show that the proposed method can provide reliable results for transient flow simulation. Compared with the measured data, the composition outcomes given by this method are also very accurate. In addition, the impact of injecting LNG/H-2 into the pipe network is quite complicated and should be treated with caution. (c) 2020 Elsevier Ltd. All rights reserved.
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