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Jun Zhang

Researcher at Monash University

Publications -  35
Citations -  2003

Jun Zhang is an academic researcher from Monash University. The author has contributed to research in topics: Adsorption & Vacuum swing adsorption. The author has an hindex of 13, co-authored 24 publications receiving 1715 citations. Previous affiliations of Jun Zhang include University of Melbourne & Guilin University of Technology.

Papers
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CO2 capture by adsorption: Materials and process development

TL;DR: In this paper, the authors show that a more logical process configurations that are appropriately coupled to the composition of the feed and product gas streams is also helping to optimise performance for CO 2 separation, and point out the synergies that are anticipated as a result of combining improvements in adsorbent properties and VSA process cycles.
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Capture of CO2 from high humidity flue gas by vacuum swing adsorption with zeolite 13X

TL;DR: In this article, the authors examined the impact of water migration on CO2 capture performance in a 12% synthetic flue gas stream at a relative humidity of 95% at 30 °C.
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Effect of process parameters on power requirements of vacuum swing adsorption technology for CO2 capture from flue gas

TL;DR: In this paper, the effects of process and operating parameters (feed gas temperature, evacuation pressure and feed concentration) on the performance of carbon dioxide vacuum swing adsorption (CO 2 VSA) processes for CO 2 capture from gas, especially as it affects power consumption were investigated.
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Alkali and alkaline-earth cation exchanged chabazite zeolites for adsorption based CO2 capture

TL;DR: In this article, chabazite zeolites were prepared and exchanged with alkali cations (Li, Na, K and alkaline-earth cations) to assess their potential for CO2 capture from flue gas by vacuum swing adsorption for temperatures below 120°C.
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Capture of CO2 from flue gas streams with zeolite 13X by vacuum-pressure swing adsorption

TL;DR: In this article, the authors used a detailed, validated numerical model of the CO2VSA process to study the effect of a range of operating and design parameters on the system performance.