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Yushu Chen
Publications - 7
Citations - 28
Yushu Chen is an academic researcher. The author has contributed to research in topics: Wind power & Offshore wind power. The author has an hindex of 1, co-authored 2 publications receiving 5 citations.
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Journal ArticleDOI
Modeling waste generation and end-of-life management of wind power development in Guangdong, China until 2050
Yushu Chen,Guotian Cai,Lixing Zheng,Yuntao Zhang,Xiaoling Qi,Shangjun Ke,Liping Gao,Ruxue Bai,Gang Liu +8 more
TL;DR: Wang et al. as mentioned in this paper applied a technology-specific, component-by-component, and stock-driven prospective dynamic material flow analysis model in the case of Guangdong, a province in South China with high wind power potential.
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To Adopt CCU Technology or Not? An Evolutionary Game between Local Governments and Coal-Fired Power Plants
TL;DR: An evolutionary game model is established in order to analyze the interaction process and evolution direction of local governments and coal-fired power plants, and a replicator dynamic system is developed to evaluate the stability of the system under different conditions.
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Spatiotemporally explicit pathway and material-energy-emission nexus of offshore wind energy development in China up to the year 2060
Yushu Chen,Guotian Cai,Ruxue Bai,Shangjun Ke,Wenxiu Wang,Xiaoyu Chen,Pei-Nan Li,Yuntao Zhang,Li Gao,Shuai Nie,Gang Liu +10 more
TL;DR: In this article , a spatiotemporally refined stock-driven material flow analysis model was proposed to reveal the spatio-temporal explicit pathway of China's offshore wind power development and the associated material-energy-emission nexus up to the year 2060.
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Study on the Economic Optimization of Energy Storage System Configuration for Wind Power Accommodation in Guangdong Province
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Dynamic analysis of geared transmission system for wind turbines with mixed aleatory and epistemic uncertainties
TL;DR: In this paper , the coexistence of mixed aleatory and epistemic uncertainties in a wind turbine geared system for more reliable and robust vibration analyses is discussed, and a regression-based polynomial chaos expansion (PCE) is used to track aleatory uncertainties, and the poynomial surrogate approach (PSA) is developed to treat the epistemic uncertainty.