Xiaotong Yan

Dr. Xiaotong Yan

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2024 in Energy
Verified
Journal Article
Closed access
LXLianchen Xu
Lianchen Xu
Kan KanKan Kan
Kan Kan
YZYuan Zheng
Yuan Zheng
DLDemin Liu
Demin Liu
Binama MaximeBinama Maxime
Binama Maxime
HCHuixiang Chen
Huixiang Chen

20 December 2023 in Energy
Verified
Journal Article
Closed access
XYXiaotong Yan
Xiaotong Yan
Kan KanKan Kan
Kan Kan
YZYuan Zheng
Yuan Zheng
ZXZhe Xu
Zhe Xu
Mosè RossiMosè Rossi
Mosè Rossi
HCHuixiang Chen
Huixiang Chen

3 July 2026 in Energy
Verified
Journal Article
Closed access
XYXiaotong Yan
Xiaotong Yan
Kan KanKan Kan
Kan Kan
YLYuanyu Li
Yuanyu Li
HLHaoyu Li
Haoyu Li
HCHuixiang Chen
Huixiang Chen
YZYuan Zheng
Yuan Zheng

1 July 2025 in AIP Advances
Verified
Journal Article
Open access
YYYunkuan Yu
Yunkuan Yu
Kan KanKan Kan
Kan Kan
KLKunting Liu
Kunting Liu
Huixiang ChenHuixiang Chen
Huixiang Chen
Changliang YeChangliang Ye
Changliang Ye
XYXiaotong Yan
Xiaotong Yan
The increasing integration of renewable energy into new-type power systems accentuates the critical role of hydroelectric power in grid stabilization and baseload support. Nevertheless, inherent flow instabilities in hydraulic turbines operating under off-design conditions induce power oscillations. These oscillations constrain the flexible regulation capabilities of hydroelectric power systems. This study investigates a large Francis turbine, employing a multiphase flow model to numerically simulate flow characteristics across a comprehensive range of operating conditions. Pressure distribution on runner blades is quantitatively analyzed utilizing a streamline coordinate system. A third-generation vortex method identifies the complex vortex structures within the flow channel. Building upon these analyses, this study delineates conditions predisposing the turbine to power oscillations, elucidates the mechanism of these vortex-induced oscillations, and proposes an optimal air admission strategy for their mitigation. Results show that the turbine is susceptible to power oscillations in below-rated head and overload conditions, with a characteristic frequency of 4.93 Hz, corresponding to flow separation vortices. These vortices generate negative torque on the blades, with the resulting torque fluctuations directly causing power oscillations. An optimal air admission strategy—admission volume of 1 m3/s—significantly reduces the amplitude of power oscillations by up to 81.3%. The conclusions presented herein offer valuable recommendations for optimizing the stable operating range of hydraulic turbines, enabling timely mitigation of output power fluctuations, and enhancing the flexible control capability of hydraulic systems.

1 August 2025 in Physics of Fluids
Verified
Journal Article
Closed access
DRDomoinamalala Mavoarisoa Randriambololona
Domoinamalala Mavoarisoa Randriambololona
Kan KanKan Kan
Kan Kan
YZYuan Zheng
Yuan Zheng
JRJean Nirinarison Razafinjaka
Jean Nirinarison Razafinjaka
ZXZhe Xu
Zhe Xu
XYXiaotong Yan
Xiaotong Yan
Dual-rotor tidal turbines have demonstrated performance advantages over single-rotor systems; however, their optimization remains challenging due to the increased number of design variables and interactions. Existing studies often present inconsistent findings, largely constrained to specific turbine configurations, which limits their general applicability. This study addresses the need for a more unified framework by investigating the influence of axial spacing between the two rotors based on axial momentum theory. To evaluate the applicability of the simplified theoretical approach in practical settings, a numerical analysis was conducted using ANSYS-based simulations of a counter-rotating marine current turbine model. A key assumption in previous theoretical models that the pressure at the inlet of the downstream rotor equals ambient pressure is examined to see if it is necessary and how it affects the turbine's performance. The simulation results are in full agreement with the theoretical predictions. The results show that the optimal power coefficient does not necessarily occur at large axial distances between the rotors. Instead, the results show that the power coefficient improves as the projected cross-sectional diameter of the rear rotor's flow tube at front rotor location (D1int) and axial induction ratio (e1/e2) approach 0.707D and 1/3, respectively, with peak performance observed near these values. These findings can support more efficient optimization of dual-rotor systems.

21 July 2026 in Energy Conversion and Management
Verified
Journal Article
Closed access
XYXiaotong Yan
Xiaotong Yan
Kan KanKan Kan
Kan Kan
YLYuanyu Li
Yuanyu Li
HCHuixiang Chen
Huixiang Chen
YZYuan Zheng
Yuan Zheng