Energy Optimization Method and Subdivision Surfaces

Author(s):  
Wenhe Liao ◽  
Hao Liu ◽  
Tao Li
2021 ◽  
pp. 85-91
Author(s):  
Shally Vats ◽  
Sanjay Kumar Sharma ◽  
Sunil Kumar

Proliferation of large number of cloud users steered the exponential increase in number and size of the data centers. These data centers are energy hungry and put burden for cloud service provider in terms of electricity bills. There is environmental concern too, due to large carbon foot print. A lot of work has been done on reducing the energy requirement of data centers using optimal use of CPUs. Virtualization has been used as the core technology for optimal use of computing resources using VM migration. However, networking devices also contribute significantly to the responsible for the energy dissipation. We have proposed a two level energy optimization method for the data center to reduce energy consumption by keeping SLA. VM migration has been performed for optimal use of physical machines as well as switches used to connect physical machines in data center. Results of experiments conducted in CloudSim on PlanetLab data confirm superiority of the proposed method over existing methods using only single level optimization.


Author(s):  
Yan Chen ◽  
Zili Chen ◽  
Junmin Wang

This paper presents an operational energy optimization method for pure electric ground vehicles (EGVs) based on terrain profile preview. Dynamic programming is applied to obtain the global optimal energy point for torque distributions. The vehicles considered in this paper are powered by batteries and in-wheel motors. Different from the fuel optimization methods of conventional hybrid electric vehicles which adjust battery power supplies, a pure EGV actuated by in-wheel motors has only one energy source, whose power consumption is mainly determined by the torque distributions among in-wheel motors in terms of their operating efficiencies. Moreover, the optimization results show that different terrains will influence the optimal torque distributions and energy savings.


Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1317 ◽  
Author(s):  
Diego Jiménez-Bravo ◽  
Javier Pérez-Marcos ◽  
Daniel De la Iglesia ◽  
Gabriel Villarrubia González ◽  
Juan De Paz

The European Union Establishes that for the next few years, a cleaner and more efficient energy system should be used. In order to achieve this, this work proposes an energy optimization method that facilitates the achievement of these objectives. Existing technologies allow us to create a system that optimizes the use of energy in homes and offers some type of benefit to its residents. Specifically, this study has developed a recommendation system based on a multiagent system that allows to obtain consumption data from electronic devices in a home, obtain information on electricity prices from the Internet, and provide recommendations based on consumption patterns of users and electricity prices. In this way, the system recommends new hours in which to use the appliances, offering the economic benefit that it would propose recommendations for the user. In this way, it is possible to distribute and optimize the use of energy in homes and reduce the peaks in electricity consumption. The system provides encouraging results in order to resolve the problem proposed by the European Union by optimizing the use of energy among different hours of the day and saving money for the customer.


2020 ◽  
Vol 25 (2) ◽  
pp. 203-216 ◽  
Author(s):  
Yong Dong ◽  
Juan Chen ◽  
Yuhua Tang ◽  
Junjie Wu ◽  
Huiquan Wang ◽  
...  

Author(s):  
Ye Gao ◽  
Masayuki Sato ◽  
Ryusuke Egawa ◽  
Hiroyuki Takizawa ◽  
Hiroaki Kobayashi

2021 ◽  
Vol 1744 (2) ◽  
pp. 022045
Author(s):  
Jiaxue Li ◽  
Chunjian Huang ◽  
Fan Ye ◽  
Meng Qin ◽  
Wenhui Zhang

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