2019
DOI: 10.1016/j.cej.2019.02.055
|View full text |Cite
|
Sign up to set email alerts
|

In-situ and ex-situ catalytic pyrolysis/co-pyrolysis of empty fruit bunches using mesostructured aluminosilicate catalysts

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
56
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 94 publications
(61 citation statements)
references
References 43 publications
5
56
0
Order By: Relevance
“…During this period, the volatile matters released from the material are maximum. e thermal overlapped degradation of the agricultural residues with major cellulose and hemicelluloses content is the primary cause of the highest mass loss at this temperature range [28]. According to TGA curve, the mixed plastics start to decompose at 330 °C.…”
Section: Resultsmentioning
confidence: 99%
“…During this period, the volatile matters released from the material are maximum. e thermal overlapped degradation of the agricultural residues with major cellulose and hemicelluloses content is the primary cause of the highest mass loss at this temperature range [28]. According to TGA curve, the mixed plastics start to decompose at 330 °C.…”
Section: Resultsmentioning
confidence: 99%
“…The selection of 80 centigrade is mainly due to the boiling point of ethanol at 78.4°C 31 . After the extraction, the ethanol is basically evaporated, and the extracted oil is basically the substance in pitaya 32,33 . The filtrate of pitaya ethanol extract was obtained by filter paper filtration.…”
Section: Methodsmentioning
confidence: 99%
“…In the 2,000-2,135-nm band, the correlation between soil water and normalized spectral reflectance reaches a significant level. [27][28][29] Normalized spectral reflectance can better reflect soil water content. In the 1,390-1,623-nm band, the soil water content has a very significant correlation with the normalized spectral reflectance.…”
Section: Establishment Of Spectral Prediction Model For Soil Water mentioning
confidence: 99%