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The lack of attention to unsteady state condition in pipeline networks results a considerable error for gas researchers. Our work aims to fill this gap for pipeline networks in series, parallel and looped based on unsteady Weymouth equation. For this, we introduced “Gain Coefficient” as the scale of gas flow increases in pipelines. Our results showed the gain coefficient for steady flow in series...
A novel method is proposed to interpret sensor data by applying a gas distribution network model based on the steady-state Weymouth equation. The proposed data interpretation method merges data gathered from sensors and models by comparing variances, so that more information is extracted than by applying the methods available in literature. The data interpretation method is subsequently used to define...
A gas network model has been constructed based on the steady-state Weymouth equation. A fast and robust solution algorithm is proposed and subsequently used to calculate all flows and pressures in a gas network with over 40,000 pipes. The obtained result is mathematically accurate within 0.1% and has been obtained within 0.2 seconds. Using basic physical principles, a simple gas consumption model...
In this paper, the problem of flow maximization in pipeline systems for transmission of natural gas is addressed. We extend previously suggested models by incorporating the variation in pipeline flow capacities with gas specific gravity and compressibility. Flow capacities are modeled as functions of pressure, compressibility and specific gravity by the commonly-used Weymouth equation, and the California...
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