Use of the Luus–Jaakola optimization method to minimize water and energy consumption in scheduling irrigation with center pivot systems

2020 ◽  
Vol 38 (2) ◽  
pp. 213-221
Author(s):  
Kennedy M. Fernandes ◽  
Roberto A. Tenenbaum ◽  
Edwin B. M. Meza ◽  
João Batista L. da Silva ◽  
Diego N. Brandão
Keyword(s):  
Energy Consumption ◽  
Optimization Method ◽  
Center Pivot ◽  
Scheduling Irrigation

scholarly journals Optimization Algorithm for Lifetime of Mobile Wireless Sensor Networks Based on Grid

2019 ◽  
Vol 15 (01) ◽  
pp. 44
Author(s):  
Ren Song
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Control Method ◽  
Optimization Method ◽  
Gradient Algorithm ◽  
Wireless Sensor ◽  
Premature Failure ◽  
Method Optimization ◽  
Mobile Wireless Sensor ◽  
Node Energy

To avoid premature failure due to excessive energy consumption of some nodes in the network, the node energy consumption problem was considered. Network life was maximized. For the problem of node energy consumption, multiple methods such as the shortest path method, optimization method, and power control method were used to solve the problem of optimization of the survival time of the wireless sensor network in different scenarios and improve the network lifetime. The results showed that the sub-gradient algorithm could balance the node energy consumption and the number of neighbor nodes and extend the maximum network lifetime. Therefore, under certain conditions, the algorithm is better than the algorithm using fixed transmission power.

scholarly journals Energy efficiency analysis of the manipulation process by the industrial objects with the use of Bernoulli gripping devices

2017 ◽  
Vol 68 (6) ◽  
pp. 496-502 ◽  
Author(s):  
Volodymyr Savkiv ◽  
Roman Mykhailyshyn ◽  
Frantisek Duchon ◽  
Mykhailo Mikhalishin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Optimization Method ◽  
Efficiency Analysis ◽  
Inertial Forces ◽  
Topical Issue ◽  
Orientation Optimization ◽  
Force Characteristics ◽  
Energy Efficiency Analysis ◽  
Reducing Energy

Abstract The article deals with the topical issue of reducing energy consumption for transportation of industrial objects. The energy efficiency of the process of objects manipulation with the use of the orientation optimization method while gripping with the help of different methods has been studied. The analysis of the influence of the constituent parts of inertial forces, that affect the object of manipulation, on the necessary force characteristics and energy consumption of Bernoulli gripping device has been proposed. The economic efficiency of the use of the optimal orientation of Bernoulli gripping device while transporting the object of manipulation in comparison to the transportation without re-orientation has been proved.

scholarly journals Modeling and Optimization for Piercing Efficiency and Energy Consumption Based on Mean Value Substaged KELM-PLS and GA Method

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Dong Xiao ◽  
Jichun Wang
Keyword(s):  
Energy Consumption ◽  
Prediction Model ◽  
Prediction Models ◽  
Optimization Method ◽  
Mean Value ◽  
Genetic Optimization ◽  
Simulation And Experiment ◽  
Coupling Characteristics ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

Piercing manufacture of seamless tubes is the process that pierces solid blank into tube hollow. Piercing efficiency and energy consumption are the important indexes in the production of seamless tubes. Piercing process has the multivariate, nonlinear, cross-coupling characteristics. The complex factors that affect efficiency and consumption make it difficult to establish the mechanism models for optimization. Based on the production process, this paper divides the piercing process into three parts and proposes the piercing efficiency and energy consumption prediction models based on mean value staged KELM-PLS method. On the basis of mean value staged KELM-PLS prediction model, the minimum piercing energy consumption and maximum piercing efficiency are calculated by genetic optimization algorithm. Simulation and experiment prove that the optimization method based on the piercing efficiency and energy consumption prediction model can obtain the optimal process parameters effectively and also provide reliable evidences for practical production.

scholarly journals Multi-Objective Optimization of Cutting Parameters in Turning AISI 304 Austenitic Stainless Steel

Metals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 217 ◽  
Author(s):  
Yu Su ◽  
Guoyong Zhao ◽  
Yugang Zhao ◽  
Jianbing Meng ◽  
Chunxiao Li
Keyword(s):  
Energy Consumption ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Aisi 304 ◽  
Multi Objective ◽  
Relational Analysis ◽  
304 Austenitic Stainless Steel ◽  
Grey Relational ◽  
Optimization Of Cutting Parameters

Energy conservation and emission reduction is an essential consideration in sustainable manufacturing. However, the traditional optimization of cutting parameters mostly focuses on machining cost, surface quality, and cutting force, ignoring the influence of cutting parameters on energy consumption in cutting process. This paper presents a multi-objective optimization method of cutting parameters based on grey relational analysis and response surface methodology (RSM), which is applied to turn AISI 304 austenitic stainless steel in order to improve cutting quality and production rate while reducing energy consumption. Firstly, Taguchi method was used to design the turning experiments. Secondly, the multi-objective optimization problem was converted into a simple objective optimization problem through grey relational analysis. Finally, the regression model based on RSM for grey relational grade was developed and the optimal combination of turning parameters (ap = 2.2 mm, f = 0.15 mm/rev, and v = 90 m/s) was determined. Compared with the initial turning parameters, surface roughness (Ra) decreases 66.90%, material removal rate (MRR) increases 8.82%, and specific energy consumption (SEC) simultaneously decreases 81.46%. As such, the proposed optimization method realizes the trade-offs between cutting quality, production rate and energy consumption, and may provide useful guides on turning parameters formulation.

An Energy-Balanced Path Plan Strategy for Mobile Sensor Networks

2015 ◽  
Vol 738-739 ◽  
pp. 65-69 ◽  
Author(s):  
Li Li Zheng ◽  
Qiu Ling Tang ◽  
Xian Li
Keyword(s):  
Energy Consumption ◽  
Travelling Salesman Problem ◽  
Optimization Method ◽  
Mobile Sink ◽  
Practical Applications ◽  
Planning Strategy ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Infinite Energy ◽  
Moving Path

Several studies have demonstrated that significant energy consumption reduction of nodes and network energy hole elimination can be achieved by introducing a mobile sink. In most related researches, mobile sink's energy is always assumed to be sufficient to collect data sensed by normal nodes. However, mobile sink consumes large amounts of energy in practical applications and it is impossible to own infinite energy. Correspondingly, the moving path plan of the mobile sink, which can be treated as a TSP (Travelling Salesman Problem), plays an important role in reducing and balancing network energy consumption. In this paper, an energy efficient mobile sink path planning strategy (EEPP) is proposed. In this strategy, LEACH protocol is introduced to balance the static network energy consumption; A heuristic path optimization method is utilized to further shorten the mobile sink path and reduce network latency. Simulation results show that our algorithm has good performance on the network energy consumption balancing, thus extending the network lifetime.

Sign in / Sign up

Export Citation Format

Share Document