Xiao Lang

Mr. Xiao Lang

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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30 September 2023 in Expert Systems with Applications
Verified
Journal Article
Closed access
Xiao LangXiao Lang
Xiao Lang
DWDa Wu
Da Wu
WMWengang Mao
Wengang Mao

23 November 2024 in Ocean Engineering
Verified
Journal Article
Open access
QMQuandang Ma
Quandang Ma
SLSunrong Lian
Sunrong Lian
DZDingze Zhang
Dingze Zhang
Xiao LangXiao Lang
Xiao Lang
HRHao Rong
Hao Rong
Mingyang ZhangMingyang Zhang
Mingyang Zhang

23 April 2025 in Ocean Engineering
Verified
Journal Article
Open access
YCYuhan Chen
Yuhan Chen
CZChi Zhang
Chi Zhang
YGYuhan Guo
Yuhan Guo
YWYiyang Wang
Yiyang Wang
Xiao LangXiao Lang
Xiao Lang
Wengang MaoWengang Mao
Wengang Mao

Verified
Journal Article
Open access
PDF file
Wuliu TianWuliu Tian
Wuliu Tian
Xiao LangXiao Lang
Xiao Lang
CZChi Zhang
Chi Zhang
SYSongyin Yan
Songyin Yan
BLBing Li
Bing Li
SZShuo Zang
Shuo Zang
The Yangtze River’s substantial variation in water depth and current speeds means that inland ships face diverse operational conditions within a single voyage. This paper discusses the adoption of controllable-pitch propellers, which adjust their pitch to adapt to varying navigational environments, thereby optimizing energy efficiency. We developed an optimization framework to determine the ideal pitch angle and rotation speed (RPM) under different sailing conditions. The energy performance model for inland ships was enhanced to account for the open-water efficiency of CPPs across various pitch angles and RPMs, considering the impacts of current and shallow water, among other factors. The optimization approach was refined by incorporating an improved genetic algorithm with an annealing algorithm to enhance the initial population, applying the K-means clustering algorithm for population segmentation, and using multi-parent crossover from diverse clusters. The efficacy of the optimization method for CPP operations was validated by analyzing three operational scenarios of a Yangtze sailing ship. Additionally, key components of the ship performance model were calibrated through experimental tests, demonstrating an anticipated fuel consumption reduction of approximately 5% compared to conventional fixed-pitch propellers.

24 September 2024 in Renewable Energy
Verified
Journal Article
Open access
Xiao LangXiao Lang
Xiao Lang
HNHåkan Nilsson
Håkan Nilsson
WMWengang Mao
Wengang Mao

30 March 2023 in Applied Sciences
Verified
Journal Article
Open access
PDF file
DWDa Wu
Da Wu
Wuliu TianWuliu Tian
Wuliu Tian
Xiao LangXiao Lang
Xiao Lang
Wengang MaoWengang Mao
Wengang Mao
Jinfen ZhangJinfen Zhang
Jinfen Zhang
The safe and efficient navigation of ships traversing the Northern Sea Route demands accurate information regarding sea ice concentration. However, the sea ice concentration forecasts employed to support such navigation are often flawed. To address this challenge, this study advances a statistical interpolation method aimed at reducing errors arising from traditional interpolation approaches. Additionally, this study introduces an autoregressive integrated moving average model, derived from ERA5 reanalysis data, for short-term sea ice concentration forecasts along the Northern Sea Route. The validity of the model has been confirmed through comparison with ensemble experiments from the Coupling Model Intercomparison Project Phase 5, yielding reliable outcomes. The route availability is assessed on the basis of the sea ice concentration forecasts, indicating that the route will be available in the upcoming years. The proposed statistical models are also shown the capacity to facilitate effective management of Arctic shipping along the Northern Sea Route.
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