Y
Yi Huang
Researcher at Taiyuan University of Technology
Publications - 26
Citations - 567
Yi Huang is an academic researcher from Taiyuan University of Technology. The author has contributed to research in topics: Chemistry & Coal. The author has an hindex of 9, co-authored 17 publications receiving 326 citations. Previous affiliations of Yi Huang include Wuhan Institute of Technology.
Papers
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Journal ArticleDOI
Coke oven gas to methanol process integrated with CO2 recycle for high energy efficiency, economic benefits and low emissions
TL;DR: In this paper, a process of CO 2 recycle to supply carbon for assisting with coke oven gas to methanol process is proposed to realize clean and efficient CO 2 gas utilization.
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Process development of coke oven gas to methanol integrated with CO2 recycle for satisfactory techno-economic performance
TL;DR: In this article, a novel process designed for producing methanol from coke oven gas (COG) integrated with CO 2 recycle is proposed, where oxygen replacing air is blown to combustor for assisting combustion of COG and unreacted syngas from methanoline synthesis process.
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Life cycle energy-economic-CO2 emissions evaluation of biomass/coal, with and without CO2 capture and storage, in a pulverized fuel combustion power plant in the United Kingdom
Qun Yi,Qun Yi,Yingjie Zhao,Yi Huang,Guoqiang Wei,Yan-hong Hao,Jie Feng,Usama Mohamed,Mohamed Pourkashanian,William Nimmo,Wen-Ying Li +10 more
TL;DR: In this paper, a life cycle evaluation of energy use, CO2 emissions and cost requirements for pulverized fuel combustion power plants using white wood pellets and bituminous coal, a typical coal widely consumed in coal power station in the UK, as feedstocks, with and without (w/o) post-combustion CCS are investigated for deep understanding application and challenges of these technologies.
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A feasibility study for CO2 recycle assistance with coke oven gas to synthetic natural gas
TL;DR: In this paper, a process of CO2 recycle assistance with coke oven gas to synthetic natural gas is proposed, simulated, and optimized, and the effects of key parameters on the performance of new system are investigated and the optimum parameters are determined.
Journal ArticleDOI
Investigation and optimization analysis on deployment of China coal chemical industry under carbon emission constraints
Yi Huang,Qun Yi,Jing-xian Kang,Ya-Gang Zhang,Wen-Ying Li,Wen-Ying Li,Jie Feng,Kechang Xie,Kechang Xie +8 more
TL;DR: In this paper, a constrained nonlinear programming is proposed to optimize deployment technologies and processes of the coal chemical industry to reduce CO2 emissions, and thus obtain the minimum CO 2 emissions per unit output, while satisfying economic growth and energy security.