@inproceedings{30ea020a83e247f6b581b6b765c45702,
title = "Estimation of black powder concentration in a short natural gas pipeline network using optimization techniques",
abstract = "Black powder is a major problem in natural gas pipeline networks. It negatively affects the networks gas quality and efficiency and increases corrosion levels. The main objective of this paper is to estimate the black powder concentration by using the black powder concentration measurements at the receiving end or costumer side of the network. The estimation strategy uses one-dimensional model for a short natural gas pipeline network and two optimization algorithms. Genetic algorithm and interior point algorithm are implement and analyzed for this purpose. The simulation results provide good black powder source concentration estimation at the natural gas pipeline network while the interior point algorithm has faster simulation time compared to the genetic algorithm.",
keywords = "black powder, genetic algorithm, interior point algorithm, natural gas pipeline network",
author = "Mahdi Debouza and Musleh, {Ahmed S.} and Imad Matraji and Ahmed Al-Durra and Mohamed Abou-Khousa and Khaled Al-Wahedi",
note = "Funding Information: ACKNOWLEDGMENT The authors acknowledge the Gas Processing & Materials Science Research Centre (GRC) at Khalifa University of Science and Technology, Abu-Dhabi, in addition to Abu Dhabi Gas Industries Limited (GASCO) for funding and supporting this project. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017 ; Conference date: 21-11-2017 Through 23-11-2017",
year = "2018",
month = jan,
day = "8",
doi = "10.1109/ICECTA.2017.8251996",
language = "British English",
series = "2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--4",
booktitle = "2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017",
address = "United States",
}