scholarly journals Wilsonville Advanced Coal Liquefaction Research and Development Facility, Wilsonville, Alabama. Topical report No. 14. Catalyst activity trends in two-stage coal liquefaction

1984 ◽  
Author(s):  
Keyword(s):  
Research And Development ◽  
Catalyst Activity ◽  
Coal Liquefaction ◽  
Two Stage ◽  
Activity Trends

Effects of Catalytic Activity and Solvent Composition on Two-Stage Coal Liquefaction

1997 ◽  
Vol 36 (5) ◽  
pp. 1453-1457 ◽  
Author(s):  
Haru-umi Hasuo ◽  
Kinya Sakanishi ◽  
Hideki Taniguchi ◽  
Masahiro Kishino ◽  
Isao Mochida
Keyword(s):  
Catalytic Activity ◽  
Solvent Composition ◽  
Coal Liquefaction ◽  
Two Stage

Can Support Acidity Predict Sub-Nanometer Catalyst Activity Trends?

ACS Catalysis ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. 6738-6744 ◽  
Author(s):  
Andrew S. Crampton ◽  
Marian D. Rötzer ◽  
Uzi Landman ◽  
Ueli Heiz
Keyword(s):  
Catalyst Activity ◽  
Activity Trends

Studies of catalyst samples from a two-stage direct coal liquefaction run

1987 ◽  
Vol 26 (4) ◽  
pp. 840-846 ◽  
Author(s):  
Frances V. Stohl ◽  
Qusro A. Qader ◽  
F. E. Massoth ◽  
Deepak S. Thakur
Keyword(s):  
Coal Liquefaction ◽  
Two Stage ◽  
Direct Coal Liquefaction

scholarly journals Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain

2021 ◽  
Author(s):  
Liyuan Zhang ◽  
Pengzhen Liu ◽  
Heather Tarbert
Keyword(s):  
Research And Development ◽  
Influencing Factors ◽  
Value Chain ◽  
High Efficiency ◽  
Transformation Efficiency ◽  
Negative Impact ◽  
Positive Impact ◽  
Science And Technology ◽  
Green Innovation ◽  
Two Stage

Green innovation has become an important combination of high-quality economic growth and sustainable development of ecological environment. In this paper, the super-efficiency network SBM model is used to measure the two-stage green innovation efficiency of industrial science and technology R&D and achievement transformation in 30 provinces and cities from 2009 to 2019, and exploratory Data Analysis (ESDA) and spatial econometric model are used to investigate the spatial-temporal evolution characteristics and influencing factors of green innovation efficiency. The results show that: firstly, the overall efficiency of industrial green innovation is low, and the efficiency of scientific research and development and achievement transformation has experienced three stages of "upward-declining-revitalized period". The low efficiency of achievement transformation is an important factor hiding the improvement of the efficiency of industrial green innovation. Secondly, The industrial green innovation efficiency gradually increases from northwest to southeast, forming a centralized "line" and "block" distribution. The high efficiency area is still concentrated in the eastern coastal region, and the balanced development trend is obvious in the central and western regions. Finally, openness has a positive impact on the two-stage green innovation efficiency; Industrial structure and government investment in science and technology have a positive impact on the efficiency of science and technology research and development, but have no significant effect on the efficiency of achievement transformation. Enterprise size has a positive effect on achievement transformation efficiency, but has no significant effect on R&D efficiency. Environmental regulation has a positive impact on R&D efficiency and a negative impact on achievement transformation efficiency.

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