Street Lighting Control, Energy Consumption Optimization

2017 ◽  
pp. 357-364 ◽  
Author(s):  
Igor Wojnicki ◽  
Leszek Kotulski
Keyword(s):  
Energy Consumption ◽  
Street Lighting ◽  
Lighting Control ◽  
Energy Consumption Optimization

scholarly journals A low-cost web-based smart street lighting geographical information system for smaller towns and villages

2020 ◽  
Vol 10 (1) ◽  
pp. 450-458
Author(s):  
Filip Pružinec ◽  
Peter Mego ◽  
Renata Đuračiová
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Web Application ◽  
Low Cost ◽  
Geographical Information ◽  
Light Control ◽  
Street Lighting ◽  
Lighting Control ◽  
Manual Adjustment ◽  
Control Service

AbstractThe use of LED lights in smart street lighting to save energy is efficient and very common in many developed cities. However, such a system results in higher initial costs, which may discourage smaller towns and villages from its purchasing. This paper therefore deals with the design and development of a smart street lighting control system for smaller cities and villages. Such a system is required to be economical from the perspective of development and production. Considering other requirements such as platform independence, high availability and broad support, we proposed to build a system as a web application using a custom light control service component. The result is a web application that consists of a user interface served by a web server and an application server used to communicate with light control service. In addition, the system is designed as a geographical information system to be easy to use for managing street lights in groups or individually, while displaying them on the map. The system allows automatic sensor-based light intensity modulation by default with the possibility of manual adjustment or override of the illumination. It also includes a device error notification system with a tool to navigate faulty devices. The presented system is a low-cost solution for intelligent street lighting control designed for smaller cities or villages. They can apply the designed architecture of the system and the specific technologies suitable because of their low-cost implementation.

Stability of aerobic granular sludge under low energy consumption: Optimization of granular size distribution by a novel internal component

2021 ◽  
Author(s):  
Runjuan Cao ◽  
Yatong Ji ◽  
Taixing Han ◽  
Jingsong Deng ◽  
Liang Zhu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Granular Sludge ◽  
Pollutant Removal ◽  
Low Energy ◽  
Aerobic Granular Sludge ◽  
Mesh Screen ◽  
Energy Consumption Optimization ◽  
Low Energy Consumption ◽  
Internal Component ◽  
The Stability

To enhance the stability and pollutant removal performance of an aerobic granular sludge (AGS), four groups of AGS reactors with different pore sizes of mesh screen (R1 is control reactor,...

scholarly journals Minimum Energy Trajectory Optimization for Driving Systems of Palletizing Robot Joints

2018 ◽  
Vol 2018 ◽  
pp. 1-26
Author(s):  
Ying He ◽  
Jiangping Mei ◽  
Zhiwei Fang ◽  
Fan Zhang ◽  
Yanqin Zhao
Keyword(s):  
Fourier Series ◽  
Energy Consumption ◽  
Total Energy ◽  
Dynamic Model ◽  
Trajectory Optimization ◽  
Joint Torque ◽  
Total Energy Consumption ◽  
Energy Consumption Model ◽  
Energy Consumption Optimization ◽  
Consumption Model

Palletizing robot is widely used in logistics operation. At present, people pay attention to not only the loading capacity and working efficiency of palletizing robots, but also the energy consumption in their working process. This paper takes MD1200-YJ palletizing robot as the research object and studies the problem of low energy consumption optimization of joint driving system from the perspective of trajectory optimization. Firstly, a multifactor dynamic model of palletizing robot is established based on the conventional inverse rigid body dynamic model of the robot, the Stribeck friction model and the spring balance torque model. And then based on joint torque, friction torque, motion parameter, and joule’s law, the useful work model, thermal loss model of joint motor, friction energy consumption model of joint system, and total energy consumption model of palletizing robot are established, and through simulation and experiment, the correctness of the multifactor dynamic model and energy consumption model is verified. Secondly, based on the Fourier series approximation method to construct the joint trajectory expression, the minimum total energy consumption as the optimization objective, with coefficients of Fourier series as optimization variables, the motion parameters of initial and final position, and running time constant as constraint conditions, the genetic algorithm is used to solve the optimization problem. Finally, through the simulation analysis the optimized Fourier series motion law and the 3-4-5 polynomial motion law are comprehensively evaluated to verify the effectiveness of the optimization method. Moreover, it provides the theoretical basis for the follow-up research and points out the direction of improvement.

scholarly journals The energy consumption optimization of the BLAS routines

2017 ◽  
Author(s):  
Radim Sojka ◽  
Lubomir Riha ◽  
David Horak ◽  
Jakub Kruzik ◽  
Martin Beseda ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Consumption Optimization

Energy consumption optimization for green Device-to-Device multimedia communications

2019 ◽  
Vol 92 ◽  
pp. 1131-1141 ◽  
Author(s):  
De-Thu Huynh ◽  
Min Chen ◽  
Trong-Thua Huynh ◽  
Chu Hong Hai
Keyword(s):  
Energy Consumption ◽  
Multimedia Communications ◽  
Energy Consumption Optimization ◽  
Device To Device
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