Effect of equivalence ratio on gas distribution and performance parameters in air-gasification of asphaltene: A model based on Artificial Neural Network (ANN)-Reference-Cited by-同舟云学术

Effect of equivalence ratio on gas distribution and performance parameters in air-gasification of asphaltene: A model based on Artificial Neural Network (ANN)

Published:2018-12-10 Issue:2 Volume:37 Page:202-207
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Gao Wei¹,Aslam Adnan²,Li Fei³

Affiliation:

1. School of Information Science and Technology, Yunnan Normal University, Kunming, China;

2. Department of Natural Sciences and Humanities, University of Engineering and Technology, Lahore (RCET), Pakistan;

3. Department of Research, Yunnan Normal University, Kunming, China

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2018.1533864

Reference7 articles.

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2. Gasification of n-C7 asphaltenes using Ni-based catalysts

3. Management of waste lubricant oil (WLO): WLO-to-energy through gasification process

4. An experimental study on biomass air–steam gasification in a fluidized bed

5. Mukherjee, D. K. Experience with unconventional gas turbine fuels. In: VTT Symposium 164, Espoo, Finland, 1996.

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