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Comparative Analysis of Typical Low Rank Coal Pyrolysis Technology Based on a Nonlinear Programming Model Yi Huang, Wenying Li, GS Wu, Jie Feng, and Qun Yi Energy Fuels, Just Accepted Manuscript • DOI: 10.1021/acs.energyfuels.7b02412 • Publication Date (Web): 28 Sep 2017 Downloaded from http://pubs.acs.org on October 1, 2017
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Comparative Analysis of Typical Low Rank Coal Pyrolysis
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Technology Based on A Nonlinear Programming Model
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Yi Huang1, Wen-ying Li1,2
, Guo-sheng Wu1, Jie Feng1, Qun Yi1*
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1
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Education and Shanxi Province; Training Base of State Key Laboratory of Coal Science and
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Technology Jointly Constructed by Shanxi Province and Ministry of Science and Technology,
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Taiyuan 030024, P. R. China.
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2
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ABSTRACT: A nonlinear programming (NLP) model has been established to describe the process
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of low rank coal pyrolysis and the model was validated through comparing with the pilot or semi-
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industry technologies. Results showed a good agreement with the actual production values,
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suggesting that the model can be regarded as a general one for simulating low rank coal pyrolysis.
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On the basis of this model, the products’ distribution and energy penalty can be obtained from coal
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pyrolysis process. In this study, the NLP model was used to simulate the typical five pyrolysis
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processes such as Toscoal process, Lurgi-Ruhrgas process, Char Oil Energy Development technology,
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Dalian University of Technology process, and Multistage Rotary Furnace technology from China
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Coal Research Institute and Hulunbuir lignite was taken as a coal sample. Combining with the
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simulation results from the NLP model, effects of the key parameters on the performance of the
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pyrolysis technologies are investigated and the comprehensive evaluation in terms of techno-
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economic performance are performed, from which the most suitable pyrolysis technology for the
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Hulunbuir lignite feedstock is Toscoal process and Lurgi-Ruhrgas process. All the above works are
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benefit of assisting a selection of the optimal pyrolysis technology for a coal feedstock with different
Key Laboratory of Coal Science and Technology (Taiyuan University of Technology), Ministry of
Xi’An University of Science and Technology, Xi’An 710054, P. R. China
*Corresponding
author. Tel. & fax: +86 351 6018453. E-mail address:
[email protected] (Li WY),
[email protected] (Yi Q).
Comparative analysis of LRC pyrolysis
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composition features.
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Keywords: Low rank coal; Pyrolysis; Nonlinear programming model; Techno-economic evaluation
3 1. INTRODUCTION 4
Low rank coals (LRC) refer to the lignite and sub-bituminous coals and their share is more than
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50% of world’s coal reserve.1 Their utilization is mostly related to the production of heat and
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electricity with low energy efficiency which leads to huge CO2 emission rising the global warming.2
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On the other hand, LRC pyrolysis technology is a primary, efficient, and clean way for LRC
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classification of refining. LRC pyrolysis at low to middle temperatures (
