scholarly journals Goal-driven Optimization Strategy for Energy and Performance-Aware Data Centers for Cloud-Based Wind Farm CMS

2011 ◽  
Vol 383-390 ◽  
pp. 3610-3616 ◽  
Author(s):  
Xin Yin Zhang ◽  
Zai Jun Wu ◽  
Si Peng Hao ◽  
Ke Xu

Offshore wind farm is developed in the ascendant currently. The reliable operation, power loss, investment cost and performance of wind farms were effect by the integration solutions of electrical interconnection system directly. Several new integration configurations based on VSC-HVDC were comparative analyzed. For the new HVDC topology applied the wind farm internal DC bus, the Variable Speed DC (VSDC) system that is suitable for those topologies was proposed. The structure of VSDC was discussed and maximum wind power tracking was simulated on the minimal system. It is clear that new integration configurations based on VSC-HVDC has good prospects.


2016 ◽  
Vol 10 (2) ◽  
pp. 191-220 ◽  
Author(s):  
Ivan Francisco Martinez Neri

Purpose This paper surveys the literature on supply chain integration (SCI) to identify the state of research in the various types of studied industries and manufacturing environments. The purpose of this paper is to identify academic discoveries that could provide offshore wind projects with means to overcome their current supply chain challenges. Design/methodology/approach A comprehensive literature review was conducted involving 162 articles published in 29 peer-reviewed journals. The papers were analyzed in terms of the dimensions of SCI, research methodology, unit of analysis, level of analysis, type of industry and manufacturing environment being studied, integrative practices, integrative barriers and the link between SCI and performance. Findings While SCI has been evolving to become an influential topic in the field of supply chain management, scholars have overlooked industrial contingencies by ignoring the differences between the studied industrial contexts, especially project-based manufacturing environments. The present review also reveals that no study of SCI has been conducted on the construction of renewable energy projects. Another finding is that case studies and research articles using networks as a unit of analysis are underrepresented. Originality/value This is the first work to advocate for an industrial contingency approach in the analysis of SCI. Thus, it proposes the offshore wind farm-construction industry as a potential study subject to broaden the knowledge in SCI in project manufacturing environments.


Author(s):  
Yasmina Bouzarour-Amokrane ◽  
Ayeley P. Tchangani ◽  
François Pérès

The necessity to control and reduce the negative impact of human activities on environment and life quality along with technology progress in renewable energy in general and wind energy in particular render it possible today to consider wind energy projects on a large scale. Developing wind energy on a large scale however raises other problems such as choosing an adequate site to settle a wind farm where many other issues such technical feasibility and performance levels, visual pollution, economic and social concerns, etc. must be addressed. Such decisions usually involve many parameters and necessitate the collaboration of many stakeholders. In this context, this chapter proposes an approach based on the concept of bipolar analysis through Benefit Opportunity Cost and Risk (BOCR) analysis, which permits one to address correctly a Group Decision-Making Problem (GDMP) to build a decision support system in order to assist the wind farm installation process.


2013 ◽  
Vol 37 (3) ◽  
pp. 395-403
Author(s):  
Dongjun Shin ◽  
Zhan Fan Quek

Due to the limited control bandwidth of pneumatic artificial muscles, joint stiffness characteristics and their effects on safety and performance of human-friendly robots should be considered in the frequency domain. This paper introduces the concept of effective dynamic stiffness and validates its model with the Stanford Safety Robot. Experimental results show that the dynamic stiffness demonstrates limited effects on the impact acceleration given the same impact velocity and controller gain, whereas it significantly affects control performance of position tracking due to pressure-induced non-linearities. A stiffness optimization strategy for safety and performance is discussed as a design guideline of human-friendly robots.


Entropy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 604 ◽  
Author(s):  
Paht Juangphanich ◽  
Cis De Maesschalck ◽  
Guillermo Paniagua

Rapid aerodynamic design and optimization is essential for the development of future turbomachinery. The objective of this work is to demonstrate a methodology from 1D mean-line-design to a full 3D aerodynamic optimization of the turbine stage using a parameterization strategy that requires few parameters. The methodology is tested by designing a highly loaded and efficient turbine for the Purdue Experimental Turbine Aerothermal Laboratory. This manuscript describes the entire design process including the 2D/3D parameterization strategy in detail. The objective of the design is to maximize the entropy definition of efficiency while simultaneously maximizing the stage loading. Optimal design trends are highlighted for both the stator and rotor for several turbine characteristics in terms of pitch-to-chord ratio as well as the blades metal and stagger angles. Additionally, a correction term is proposed for the Horlock efficiency equation to maximize the accuracy based on the measured blade kinetic losses. Finally, the design and performance of optimal profiles along the Pareto front are summarized, featuring the highest aerodynamic performance and stage loading.


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