Xiang Ling
8 Papers
1 Citations
Xiang Ling is an academic researcher. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 2, co-authored 7 publications.
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Papers
An optimization framework development for organic rankine cycle driven by waste heat recovery: Based on the radial-inflow turbine
Wenyu Li,Xiang Ling +1 more
TL;DR: In this article , a novel optimization framework for the ORC-WHR system is proposed which is based on the serialized turbine database, which highlights the matching degree between heat sources and turbines.
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Modelling and optimization of sorption-enhanced biomass chemical looping gasification coupling with hydrogen generation system based on neural network and genetic algorithm
TL;DR: This study models and optimizes a sorption-enhanced biomass chemical looping gasification system using a neural network and genetic algorithm, achieving high accuracy in predicting syngas and hydrogen co-production, and maximizing hydrogen yield with a H2/CO ratio of 2.
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A novel analysis framework for the organic Rankine cycle waste heat recovery system: From the viewpoint of turbine design
Wenyu Li,Xiang Ling +1 more
TL;DR: In this article , a novel design framework for the radial inflow turbine is proposed, aiming to promote the standardization or serialization design of the ORC turbine, and the innovativeness of combining it into the system analysis is illustrated.
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Turbulent fluidization and transition velocity of Geldart B granules in a spout–fluidized bed reactor
TL;DR: In this paper , the transition velocity of turbulent fluidization in a spout-fluidized bed reactor (SFBR) was analyzed using the standard deviation of pressure gradient, and an empirical model was proposed to predict the transition velocities.
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Investigations on ORC radial inflow turbine three-dimensional geometry design and off-design performance prediction
Wenyu Li,Qin Ni,Xiang Ling +2 more
TL;DR: In this paper , the authors presented new perspectives on ORC turbine turbine three-dimensional geometry design and off-design performance prediction, which aims to promote its standardization, and the effect of geometric control parameters on turbine performance has been investigated.
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