scholarly journals Unique-Maximum and Conflict-Free Coloring for Hypergraphs and Tree Graphs

2013 ◽  
Vol 27 (4) ◽  
pp. 1775-1787 ◽  
Author(s):  
Panagiotis Cheilaris ◽  
Balázs Keszegh ◽  
Dömötör Pálvölgyi
Keyword(s):  
Author(s):  
Yuning Jiang ◽  
Dimitris Kouzoupis ◽  
Haoyu Yin ◽  
Moritz Diehl ◽  
Boris Houska

2021 ◽  
Author(s):  
Jihan Almaas Novelia ◽  
Diari Indriati
Keyword(s):  

2021 ◽  
pp. 0309524X2110227
Author(s):  
Kyle O Roberts ◽  
Nawaz Mahomed

Wind turbine selection and optimal hub height positioning are crucial elements of wind power projects. However, in higher class wind speeds especially, over-exposure of wind turbines can lead to a reduction in power generation capacity. In this study, wind measurements from a met mast were validated according to specifications issued by IRENA and NREL. As a first step, it is shown that commercial WTGs from a database may be matched to the wind class and turbulence intensity. Secondly, a wind turbine selection algorithm, based on maximisation of capacity factor, was implemented across the range of WTGs. The selected WTGs were further exposed to an iterative algorithm using pointwise air density and wind shear coefficients. It is shown that a unique maximum capacity factor, and hence wind power generation, exists for a wind turbine, premised on its eventual over-exposure to the wind resource above a certain hub height.


1988 ◽  
Vol 12 (3) ◽  
pp. 453-459 ◽  
Author(s):  
Guizhen Liu
Keyword(s):  

Author(s):  
Satya R. T. Peddada ◽  
Daniel R. Herber ◽  
Herschel C. Pangborn ◽  
Andrew G. Alleyne ◽  
James T. Allison

High-performance cooling is often necessary for thermal management of high power density systems. Both human intuition and vast experience may not be adequate to identify optimal thermal management designs as systems increase in size and complexity. This paper presents a design framework supporting comprehensive exploration of a class of single phase fluid-based cooling architectures. The candidate cooling system architectures are represented using labeled rooted tree graphs. Dynamic models are automatically generated from these trees using a graph-based thermal modeling framework. Optimal performance is determined by solving an appropriate fluid flow control problem, handling temperature constraints in the presence of exogenous heat loads. Rigorous case studies are performed in simulation, with components having variable sets of heat loads and temperature constraints. Results include optimization of thermal endurance for an enumerated set of 4,051 architectures. In addition, cooling system architectures capable of steady-state operation under a given loading are identified.


1968 ◽  
Vol 15 (3) ◽  
pp. 271-273 ◽  
Author(s):  
G. Kishi ◽  
Y. Kajitani
Keyword(s):  

1976 ◽  
Vol 59 (1) ◽  
pp. 159-166 ◽  
Author(s):  
F. Solimano ◽  
E. Beretta

2013 ◽  
Vol 45 (1-2) ◽  
pp. 365-374 ◽  
Author(s):  
Kexiang Xu ◽  
Jinlan Wang ◽  
Hongshuang Liu
Keyword(s):  

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