Pathway for Integrated Development of Waterway Transportation and Energy in China

Yuan, Yupeng; Yuan, Chengqing; Xu, Honglei; Yan, Xinping; He, Lin

doi:10.15302/j-sscae-2022.03.019

Cited by 6 publications

(3 citation statements)

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“…In the case of SS-WPSs, the initial investment includes the infrastructure costs and taxes of all wind turbines and their supporting facilities, as well as those for site preparation and on-site construction. The initial investment can be mathematically expressed, as shown in Equation (1).…”

Section: Initial Investmentmentioning

confidence: 99%

“…These alternatives include utilizing renewable energy sources such as wind, solar, and hydropower. The primary objective is to achieve self-sufficiency in satisfying their electric power demand and seamlessly integrating various energy solutions into port operations [1]. By doing so, ports can significantly reduce their carbon footprint and contribute to a greener and more eco-friendly maritime industry.…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Evaluation Method for Planning and Design of Self-Sufficient Wind Power Energy Systems at Ports

Zhao,

Zhong,

et al. 2023

Sustainability

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This study proposes a scientific method to assess the rationality of planning and design of self-sufficient wind power systems (SS-WPSs) at ports. The evaluation method proposed is based on the concept of integrated development of water transportation and a clean energy system, taking into account the demand of the former and the availability of the latter. First, the factors representing the property of the system from the perspectives of economy, environment, energy efficiency, self-sufficiency, and reliability are calculated. The evaluation method is developed by using a combined Analytical Hierarchy Process and Entropy Weight Method (AHP-EWM) to calculate the subjective and objective weights of these factors. Subsequently, a combined weighting method based on game theory is employed with the aim of minimizing deviations between the subjective and objective weights and the combination weights, thereby determining the optimal combination of weights of the evaluation factors. These weights will be used to calculate evaluation results under different planning schemes. To validate the effectiveness of the method, a case study is developed based on a wind power energy demonstration project at a dock of a container port. Study results reveal that Option C, considered in this study, outperforms other options with the highest evaluation score of 0.737. Sensitivity analysis further underscores the reliability of Option C, showing a robust 96.15% probability of achieving the maximum final score within a 20% variation range. This indicates that the case study demonstrates that intuitive and realistic evaluation results can be obtained from the proposed method. These results affirm the practicality of our approach, providing invaluable insights for planners, policymakers, and stakeholders involved in sustainable energy initiatives.

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Section: Initial Investmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comprehensive Evaluation Method for Planning and Design of Self-Sufficient Wind Power Energy Systems at Ports

Zhao,

Zhong,

et al. 2023

Sustainability

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“…In the communications field, UAVs can support various military and civil services. With appropriate Internet of Things (IoT) or communication devices, several IoT applications can be created for UAVs [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Extracting Micro-Doppler Features from Multi-Rotor Unmanned Aerial Vehicles Using Time-Frequency Rotation Domain Concentration

Hong,

Li,

Fang

et al. 2024

Drones

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This study addresses the growing concern over the impact of small unmanned aerial vehicles (UAVs), particularly rotor UAVs, on air traffic order and public safety. We propose a novel method for micro-Doppler feature extraction in multi-rotor UAVs within the time-frequency transform domain. Utilizing competitive learning particle swarm optimization (CLPSO), our approach divides population dynamics into three subgroups, each employing unique optimization mechanisms to enhance local search capabilities. This method overcomes limitations in traditional Particle Swarm Optimization (PSO) algorithms, specifically in achieving global optimal solutions. Our simulation and experimental results demonstrate the method’s efficiency and accuracy in extracting micro-Doppler features of rotary-wing UAVs. This advancement not only facilitates UAV detection and identification but also significantly contributes to the fields of UAV monitoring and airspace security.

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Perspectives on the Intelligent Operation and Energy Interaction of Chinese Container Port

Li,

Zu,

Zhang

et al. 2024

Lecture Notes in Electrical Engineering

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Pathway for Integrated Development of Waterway Transportation and Energy in China

Cited by 6 publications

References 0 publications

A Comprehensive Evaluation Method for Planning and Design of Self-Sufficient Wind Power Energy Systems at Ports

A Comprehensive Evaluation Method for Planning and Design of Self-Sufficient Wind Power Energy Systems at Ports

Extracting Micro-Doppler Features from Multi-Rotor Unmanned Aerial Vehicles Using Time-Frequency Rotation Domain Concentration

Perspectives on the Intelligent Operation and Energy Interaction of Chinese Container Port

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