Browsing by Author "Huang, Yuan"

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    Designing a framework for materials flow by integrating circular economy principles with end-of-life management strategies
    (MDPI, 2022-04-02) Huang, Yuan; Shafiee, Mahmood; Charnley, Fiona; Encinas-Oropesa, Adriana
    Circular economy is an upward trending notion that has drawn worldwide attention of policymakers, industry administrators, environmentalist as well as academic researchers. Though there are several tools developed for monitoring the material recovery, a very few number of research have been conducted to integrate circular economy principles with end-of-life (EOL) management strategies. This paper proposes an EOL-driven circular economy framework for the management of materials flow so as to extend the lifetime of materials through improved durability as well as to provide more social, economic and environmental benefits through less material waste. A case study from the agricultural waste industry is presented in order to test the model and validate its performance. The results show that the proposed framework has a good potential for small and medium enterprises (SME) advances.
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    Reactive coordinated optimal operation of distributed wind generation
    (Elsevier, 2020-11-26) Xiang, Yue; Zhou, Lili; Huang, Yuan; Zhang, Xin; Liu, Youbo; Liu, Junyong
    Large-scale distributed wind generation (DWG) integration brings new challenges to the optimal operation of the distribution network. The reactive supports from wind turbines (WTs) and reactive power resources can improve both the operation economy and renewable energy consumption. In this paper, a multi-period reactive coordinated optimal operation model for DWG in the distribution network is established. The active-reactive power coordination characteristics of two typical types of WTs are considered and the operating strategy of reactive power resources is integrated in the model. The second-order cone programming (SOCP) is developed to transform the original nonlinear power flow model into a linear and convex model, which would significantly improve the power flow calculation efficiency for DWG penetrated distribution network. The simulation results show that the integration of reactive power resources can further promote the consumption of DWG and improve the operating profits of the distribution network.
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    Slope-based shape cluster method for smart metering load profiles
    (IEEE, 2020-01-10) Xiang, Yue; Hong, Juhua; Yang, Zhiyu; Wang, Yang; Huang, Yuan; Zhang, Xin; Chai, Yanxin; Yao, Haotian
    Cluster analysis is used to study the group of load profiles from smart meters to improve the operability in distribution network. The traditional K-means clustering analysis method employs Euclidean distance as similarity measurement, which is insufficient in reflecting the shape similarities of load profiles. In this work, we propose a novel shape cluster method based on the segmented slope of load profiles. Compared with traditional K-means and two improved algorithms, the proposed method can improve the clustering accuracy and efficiency by capturing the shape features of smart metering load profiles.