Verification Test of Energy-Efficient Driving by Selection of Braking Notches

2014 ◽  
Vol 134 (12) ◽  
pp. 1022-1030 ◽  
Author(s):  
Tomoyuki Ogawa ◽  
Kazumasa Kumazawa ◽  
Noriaki Sugita ◽  
Yoichi Imamura ◽  
Shingo Minobe ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Verification Test ◽  
Selection Of

scholarly journals Future Trends in Subsonic Transport Energy Efficient Turbofan Engines

1980 ◽  
Author(s):  
R. P. Johnston ◽  
P. Ortiz
Keyword(s):  
Performance Improvement ◽  
Energy Efficient ◽  
Electric Energy ◽  
Advanced Technology ◽  
Fuel Saving ◽  
Technology Program ◽  
Transport Aircraft ◽  
Turbofan Engines ◽  
Aircraft System ◽  
Selection Of

Details of the NASA sponsored General Electric Energy Efficient Engine (E3) technology program are presented along with a description of the engine, cycle and aircraft system benefits. Opportunities for further performance improvement beyond E3 are examined. Studies leading to the selection of the E3 cycle and configuration are summarized. The advanced technology features, cycle and component performance levels are also presented. An evaluation of the benefits of the fully developed Flight Propulsion System (FPS) is made relative to the NASA program goals by comparing the FPS with the CF6-50C where both are installed in advanced subsonic transport aircraft. Results indicate that a mission fuel saving from 15 to 23 percent is possible depending on mission length.

Data driven selection of DRX for energy efficient 5G RAN

2017 ◽  
Author(s):  
Diarmuid Corcoran ◽  
Loghman Andimeh ◽  
Andreas Ermedahl ◽  
Per Kreuger ◽  
Christian Schulte
Keyword(s):  
Energy Efficient ◽  
Data Driven ◽  
Selection Of

scholarly journals CHOICE OF EFFECTIVE TECHNOLOGY OF ENERGY EFFICIENT DESIGN SYSTEM OF BUILDINGS, AMONG THE MOST COMMON

2017 ◽  
pp. 4-12
Author(s):  
V. A. GALUSHKO ◽  
I. V. KOLODYAZHNAYA ◽  
K. A. SAVKA ◽  
A. S. UVAROVA
Keyword(s):  
Energy Efficient ◽  
Design System ◽  
Efficient Design ◽  
Information Analysis ◽  
Mathematical Methods ◽  
Counting Approach ◽  
Effective Technology ◽  
Energy Efficient Design ◽  
Selection Of ◽  
Construction System

Purpose. Researching the most energy-efficient warming construction system of buildings among the commonest of them, using their technical, technological and economical characteristics. Methodology. Synthesis, analysis, mathematical methods. Findings. For choosing effective technology, information analysis of systems  warming of facades was made. Three types were chosen from the most prominent technics. Technical and economical calculations were made for these systems. Originality. Enhancement of the counting approach whereby the selection of the most suitable variant is making by a few points, which doesn’t exclude each other. Practical value. Discovered is, for the optimal choosing of the warming construction of the facade, there is an importance to use a few technical and economical records at the same time.

scholarly journals WSN Clustering Based on EECI (Energy Efficient Clustering using Interconnection) Method

2019 ◽  
Vol 9 (1) ◽  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Sensor Data ◽  
Main Technique ◽  
Energy Efficient Clustering ◽  
Selection Of

in WSN, clustering gives an effective way to enhance the network lifetime. Moreover It has been observed that the clustering algorithm utilizes the two main technique first is selection of cluster head and cycling it periodically in order to distribute the energy among the clusters and this in terms increases the lifetime of network. Another challenge comes with this is minimize the energy consumption. In past several algorithm has been proposed to increase the lifetime of the network and energy consumption, however these methodologies lacks from efficiency. In this paper, we have proposed a methodologies named as EE-CI (Energy Efficient Clustering using Interconnection), along with the random updation. Here the networks are parted into different clusters, the cluster updation are done based on the CHC scheme. Moreover, in proposed methodology cluster updation and data sample is determined through the change in sensor data. Here we propose a method for sampling sensor and CHC for selecting the cluster head to balance the energy and improvise the energy efficiency. Moreover, the proposed methodology is evaluated and the result is demonstrated by considering the Leach as existing methodology, experiments results shows that the proposed methodology outperforms the existing methodology.

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