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Shan Ren

Bio: Shan Ren is an academic researcher from Chongqing University. The author has contributed to research in topics: Catalysis & Selective catalytic reduction. The author has an hindex of 22, co-authored 108 publications receiving 1287 citations. Previous affiliations of Shan Ren include University of Science and Technology Beijing.


Papers
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TL;DR: In this paper, the enhanced effects of V2O5 on the catalytic performance and SO2 tolerance over Mn-Ce/AC catalysts were evaluated in the temperature range of 100-300°C.

168 citations

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TL;DR: In this article, the influence of Fe doped over activated carbon (AC) supported Mn-Ce oxide catalysts was investigated for low-temperature selective catalytic reduction (SCR) of NO with NH3.

159 citations

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TL;DR: In this article, the authors reviewed the current developments of mineral carbonation technologies by using industrial solid wastes as feedstocks, aiming at searching the reasons of its limitation, and suggested two research directions, i.e., the evaluation of CO2 net emission reduction by life cycle assessment technique and developments of new energy-saving approaches.

151 citations

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TL;DR: Different valence states manganese oxides catalysts (MnO2, Mn2O3 and Mn3O4) were synthesized to investigate their N2O formation pathways during NH3-SCR of NO process.

113 citations

Journal ArticleDOI
TL;DR: In this article, the effect of different potassium species, including K2O, KCl and K2SO4, on the deactivation of V2O5-WO3/TiO2 catalysts were measured in the research.

83 citations


Cited by
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01 May 1993
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

29,323 citations

Journal ArticleDOI
TL;DR: This review summarizes the latest SCR reaction mechanisms and emerging poison-resistant mechanisms in the beginning and subsequently gives a comprehensive overview of newly developed SCR catalysts, including metal oxide catalysts ranging from VOx, MnOx, CeO2, and Fe2O3 to CuO based catalysts.
Abstract: Selective catalytic reduction with NH3 (NH3-SCR) is the most efficient technology to reduce the emission of nitrogen oxides (NOx) from coal-fired industries, diesel engines, etc. Although V2O5-WO3(MoO3)/TiO2 and CHA structured zeolite catalysts have been utilized in commercial applications, the increasing requirements for broad working temperature window, strong SO2/alkali/heavy metal-resistance, and high hydrothermal stability have stimulated the development of new-type NH3-SCR catalysts. This review summarizes the latest SCR reaction mechanisms and emerging poison-resistant mechanisms in the beginning and subsequently gives a comprehensive overview of newly developed SCR catalysts, including metal oxide catalysts ranging from VOx, MnOx, CeO2, and Fe2O3 to CuO based catalysts; acidic compound catalysts containing vanadate, phosphate and sulfate catalysts; ion exchanged zeolite catalysts such as Fe, Cu, Mn, etc. exchanged zeolite catalysts; monolith catalysts including extruded, washcoated, and metal-mesh/foam-based monolith catalysts. The challenges and opportunities for each type of catalysts are proposed while the effective strategies are summarized for enhancing the acidity/redox circle and poison-resistance through modification, creating novel nanostructures, exposing specific crystalline planes, constructing protective/sacrificial sites, etc. Some suggestions are given about future research directions that efforts should be made in. Hopefully, this review can bridge the gap between newly developed catalysts and practical requirements to realize their commercial applications in the near future.

800 citations

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TL;DR: The evolution behavior of physical-chemical structure for biochar during pyrolysis and modification of biochar and its application as sorbent for gas pollutant were reviewed.

195 citations

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TL;DR: The thermal decomposition behavior of Shenhua bituminous coal (SB), Rice husk (RH), Pine sawdust (PS) and their blend during combustion were investigated by using the thermal analysis method.

184 citations