Application of dynamic DEA DMUs for energy maximization of electric boats

Debate remains whether energy maximization or time minimization strategies best explain foraging in ungulates. It has also been hypothesized that the capacity of an animal to dissipate body heat regulates animal activity. We investigated these hypotheses while measuring the daily activity of desert argali (Ovis ammon (Linnaeus,1758)) for 12 months and relating the activity pattern to environmental seasonality. We found significant seasonal cycles in argali activity, with the greatest proportion of daytime in winter spent foraging and the greatest proportion of daytime in summer spent bedding. Consistent with an energy maximization strategy, argali reduced all behaviors during the winter in favor of foraging, compensating for the increased energy demands of winter at a time of low forage quality. Consistent with a time minimization strategy, argali in summer significantly reduced foraging and spent more time bedding in shaded areas to avoid hyperthermia due to high ambient temperatures. Both optimal foraging and heat dissipation can be used to explain the observed foraging pattern. Foraging behavior in argali is best described by the extent to which the animals schedule their activities to meet their physiological demands, the way these demands are affected by environmental variables, and the time that is available to accomplish them.

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Centralized control strategy for energy maximization of large array wind turbines

Sustainable Cities and Society ◽

10.1016/j.scs.2015.11.007 ◽

2016 ◽

Vol 25 ◽

pp. 82-89 ◽

Cited By ~ 9

Author(s):

Mohamed Abbes ◽

Mehdi Allagui

Keyword(s):

Wind Turbines ◽

Control Strategy ◽

Large Array ◽

Centralized Control ◽

Energy Maximization

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Optimized fixed tilt for incident solar energy maximization on flat surfaces located in the Algerian Big South

Sustainable Energy Technologies and Assessments ◽

10.1016/j.seta.2018.06.002 ◽

2018 ◽

Vol 28 ◽

pp. 96-102 ◽

Cited By ~ 10

Author(s):

Nadjem Bailek ◽

Kada Bouchouicha ◽

Nouar Aoun ◽

Mohamed EL-Shimy ◽

Basharat Jamil ◽

...

Keyword(s):

Solar Energy ◽

Flat Surfaces ◽

Energy Maximization

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Harvested Energy Maximization of SWIPT System with Popularity Cache Scheme in Dense Small Cell Networks

Wireless Communications and Mobile Computing ◽

10.1155/2019/1949638 ◽

2019 ◽

Vol 2019 ◽

pp. 1-14

Author(s):

Xuefei Peng ◽

Jiandong Li

Keyword(s):

Small Cell ◽

Base Stations ◽

Maximization Problem ◽

Power Splitting ◽

Small Cell Networks ◽

Splitting Ratio ◽

Energy Maximization ◽

Cache Scheme ◽

Cell Networks

In this paper, we propose a harvested energy maximization problem of simultaneous wireless information and power transfer (SWIPT) system with popularity cache scheme in dense small cell networks. Firstly, network model, content request, and popularity cache schemes are provided in the system model. Then, we establish a harvested energy maximization problem of SWIPT system with popularity cache scheme in dense small cell networks, where maximum transmit power of small cell base stations (SBSs), minimum rate requirement, i.e., quality of service (QoS) of user terminals (UTs), and power splitting ratio are considered. Further, an iterative power splitting ratio and power allocation optimization (IPSPA) algorithm is proposed to solve the formulated problem. Finally, the better performance of our proposed method is demonstrated through a number of simulations. These results are of significance for maximizing harvesting energy of UTs and reducing consumption of backhaul resources and energy.

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