scholarly journals A Hybrid Methodology Based on Smart Management Energy Consumption in Irrigation Systems

2021 ◽  
Author(s):  
Florina Scarlatache ◽  
Gheorghe Grigoras ◽  
Vlad-Andrei Scarlatache ◽  
Bogdan-Constantin Neagu ◽  
Ovidiu Ivanov
Keyword(s):  
Energy Consumption ◽  
Economic Efficiency ◽  
Irrigation System ◽  
Optimal Solution ◽  
Maximum Efficiency ◽  
High Tech ◽  
Irrigation Systems ◽  
Additional Costs ◽  
Entire Flow ◽  
Operating Points

Innovative practices in irrigation systems can bring improvements in terms of economic efficiency and in the same time can reduce environmental impact. Investment in high tech technologies frequently involves additional costs, but an efficient water management can increase the lifetime of the equipment. The main objective of this article is to reduce the energy consumption by one thousand cubic meters pumped and automatically to increase the economic efficiency of the pumping groups. This paper develops a new operating algorithm that ensures the operation of the pumping group at safe operating intervals and in the same time identifies the equivalent pump operating points for the entire flow range and pumping height of the pumping group. This methodology is based on the principles of an Expert System to perform the optimization process of the energy consumption in pumping groups. The resulting methodology avoids the combinatorial explosion of the solutions to be analyzed and determines the point of maximum efficiency without violation of any of the system constraints under any operating condition. The proposed methodology is tested on an irrigation system that includes a pumping group with 5 pumps, showing its effectiveness in obtaining the optimal solution with a relatively low computational burden.

scholarly journals A Hybrid Methodology Based on Smart Management Energy Consumption in Irrigation Systems

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2864
Author(s):  
Florina Scarlatache ◽  
Gheorghe Grigoras ◽  
Vlad-Andrei Scarlatache ◽  
Bogdan-Constantin Neagu ◽  
Ovidiu Ivanov
Keyword(s):  
Energy Consumption ◽  
Electronic Device ◽  
Irrigation System ◽  
Frequency Converter ◽  
Optimal Solution ◽  
Operating Mode ◽  
Operating Conditions ◽  
High Tech ◽  
Irrigation Systems ◽  
Current Frequency

Innovative practices in irrigation systems can bring improvements in terms of economic efficiency and, at the same time, can reduce environmental impacts. Investment in high-tech technologies frequently involves additional costs, but an efficient water management system can increase the lifetime of the equipment. The most utilized electronic device for a smart management, used to pump units from irrigation systems, is the frequency converter. This device can regulate the speed of the motors that control the pumps according to the consumption of water, ensuring that it does not pump more water than is needed. This paper develops a new operating algorithm that ensures the operation of the pumping group at safe operating intervals and identifies the equivalent pump operating points for the entire flow range and pumping height of the pumping group in order to bring smart management to irrigation systems. The parameters monitored and collected for each vertical pump refers to the voltage, current, frequency (speeds) and flow of each hydraulic operating mode. The methodology used is based on the principle of creating an expert system to optimize energy consumption in the pumping groups. The proposed methodology was tested on an irrigation system that includes a pumping group with five pumps, showing its effectiveness in obtaining the optimal solution with a relatively low computational burden and without the violation of any system constraints under any operating conditions.

IMPLEMENTATION OF THE WATER USE PLAN PROCEDURES, MEASURES AND WATER USE

2020 ◽  
Vol 6 (2) ◽  
pp. 50-58
Author(s):  
Matluba Muxammadiyeva ◽  
◽  
Iftixor Ergashev
Keyword(s):  
Performance Appraisal ◽  
Water Use ◽  
Irrigation System ◽  
Low Pressure ◽  
Irrigation Systems ◽  
Irrigation Methods ◽  
Point Pressure ◽  
A Performance

If we look at the existing irrigation methods used today in the country, then they are divided into: ground, rainfall, underground or underground, drip and spray. Basically, they are transferred to the irrigation field in two forms: through gravity and pressure irrigation systems. Naturally, a gravity irrigation system is economically more expensive than a low pressure irrigation system. However, from a performance appraisal stand point, pressure irrigation methods are less efficient and have serious disadvantages

PREREQUISITES FOR THE DEVELOPMENT OF NUCLEAR ENERGY IN THE GLOBAL ECONOMY

2020 ◽  
Vol 2 (3) ◽  
pp. 153-158
Author(s):  
E. V. YANUSIK ◽  
Keyword(s):  
Energy Consumption ◽  
Economic Efficiency ◽  
Global Economy ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Energy ◽  
World Market ◽  
Global Energy ◽  
The World ◽  
Global Energy Consumption

The article discusses the main prerequisites for the development of nuclear energy in the global econo-my, also defines nuclear energy and discusses the structure of global energy consumption. The article proves that the crucial prerequisite for the development of nuclear energy in the world market is the economic efficiency of nuclear power plants.

scholarly journals Linear Weighted Regression and Energy-Aware Greedy Scheduling for Heterogeneous Big Data

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 554
Author(s):  
Suresh Kallam ◽  
Rizwan Patan ◽  
Tathapudi V. Ramana ◽  
Amir H. Gandomi
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Total Energy ◽  
Optimal Solution ◽  
Data Locality ◽  
Weighted Regression ◽  
Heterogeneous Environments ◽  
Energy Aware ◽  
Total Energy Consumption ◽  
Greedy Scheduling

Data are presently being produced at an increased speed in different formats, which complicates the design, processing, and evaluation of the data. The MapReduce algorithm is a distributed file system that is used for big data parallel processing. Current implementations of MapReduce assist in data locality along with robustness. In this study, a linear weighted regression and energy-aware greedy scheduling (LWR-EGS) method were combined to handle big data. The LWR-EGS method initially selects tasks for an assignment and then selects the best available machine to identify an optimal solution. With this objective, first, the problem was modeled as an integer linear weighted regression program to choose tasks for the assignment. Then, the best available machines were selected to find the optimal solution. In this manner, the optimization of resources is said to have taken place. Then, an energy efficiency-aware greedy scheduling algorithm was presented to select a position for each task to minimize the total energy consumption of the MapReduce job for big data applications in heterogeneous environments without a significant performance loss. To evaluate the performance, the LWR-EGS method was compared with two related approaches via MapReduce. The experimental results showed that the LWR-EGS method effectively reduced the total energy consumption without producing large scheduling overheads. Moreover, the method also reduced the execution time when compared to state-of-the-art methods. The LWR-EGS method reduced the energy consumption, average processing time, and scheduling overhead by 16%, 20%, and 22%, respectively, compared to existing methods.

scholarly journals Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Lhassane Idoumghar ◽  
Mahmoud Melkemi ◽  
René Schott ◽  
Maha Idrissi Aouad
Keyword(s):  
Energy Consumption ◽  
Embedded Systems ◽  
Evolutionary Algorithm ◽  
Optimal Solution ◽  
Function Optimization ◽  
Time Saving ◽  
Local Optima ◽  
Hybrid Evolutionary Algorithm ◽  
Multimodal Function Optimization ◽  
Multimodal Function

The paper presents a novel hybrid evolutionary algorithm that combines Particle Swarm Optimization (PSO) and Simulated Annealing (SA) algorithms. When a local optimal solution is reached with PSO, all particles gather around it, and escaping from this local optima becomes difficult. To avoid premature convergence of PSO, we present a new hybrid evolutionary algorithm, called HPSO-SA, based on the idea that PSO ensures fast convergence, while SA brings the search out of local optima because of its strong local-search ability. The proposed HPSO-SA algorithm is validated on ten standard benchmark multimodal functions for which we obtained significant improvements. The results are compared with these obtained by existing hybrid PSO-SA algorithms. In this paper, we provide also two versions of HPSO-SA (sequential and distributed) for minimizing the energy consumption in embedded systems memories. The two versions, of HPSO-SA, reduce the energy consumption in memories from 76% up to 98% as compared to Tabu Search (TS). Moreover, the distributed version of HPSO-SA provides execution time saving of about 73% up to 84% on a cluster of 4 PCs.

Efficiency and Industrial Democracy: The Yugoslav System

1975 ◽  
Vol 17 (4) ◽  
pp. 345-355 ◽  
Author(s):  
L. Haddad
Keyword(s):  
Economic Efficiency ◽  
Self Management ◽  
Maximum Efficiency ◽  
Industrial Democracy ◽  
Trade Off ◽  
Distinguishing Features

This paper discusses very briefly the distinguishing features of the Yugoslav system of self-management and comments on its current problems, including the alleged conflict between economic efficiency and industrial democracy. In particular, it rejects the view that the conflict is a "trade-off" problem. This view is both misleading and unrealistic. Effciency and democracy are not always incompatible, and even if they were, are not to be traded off against each other. In any case, the Yugoslavs themselves regard self-management as the supreme goal to be achieved with, but not to be sacrificed for, maximum efficiency.

On the Applicability of “Provision-Appropriation” Theory to Irrigation Management: An Analysis Based on Institutional Change in the Dongping Irrigation Area

2010 ◽  
Vol 2 (1) ◽  
pp. 83-99
Author(s):  
Chen Jing ◽  
Kan Shizuan ◽  
Tong Zhihui
Keyword(s):  
Institutional Change ◽  
Irrigation System ◽  
Irrigation Management ◽  
Historical Research ◽  
Institutional Changes ◽  
Irrigation Systems ◽  
Irrigation Area ◽  
Site Investigations ◽  
Current State ◽  
System Sustainability

AbstractThis paper, based on historical research on irrigation administration in the Dongping area and on-site investigations into its current state, explores the benefits and problems produced by two institutional changes. As a common pool resource situation, irrigation systems’ “provision” and “appropriation” are two separate issues; any institutional change must thus offer two different solutions. The study concludes that the participatory changes undertaken in the Dongping irrigation area failed, in the end, to resolve the problem of irrigation system sustainability. In particular, it proved difficult for collective action to take place around provision, which led to difficulties in operating the irrigation system.

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