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103093

Optimization of Developed Irrigation System Network Using Genetic Algorithms.

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Last updated: 04 Jan 2025

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-

Tags

Mechanical Power Engineering

Abstract

The main objective of this research is to reach the optimum design for the developed irrigation system network using genetic algorithms, GA. As result, optimum use of water sources at the irrigation farms is reached. Each farm will obtain the required water discharge with the correct pressure within the available duration time and water delivery period, where the right combination of various pipe sizes with minimum cost are designed and constructed. The GA technique is most appropriate for optimization of developed irrigation plan, optimum networks, reduction of necessary time of watering plan, and consequently minimum cost and minimum energy can be reached. Within this research it is shown that it is economically profitable to convert from surface irrigation system to developed irrigation systems. The use of developed irrigation systems leads to water saving by 40-50% compared to surface irrigation, together with reaching maximum yield of plants. The use of GA optimization method for the studied case of 1000 feddan cultivated by crops and trees safes 41% of the irrigation system network cost compared to the manual design method.

DOI

10.21608/bfemu.2020.103093

Keywords

Genetic Algorithms, Developed irrigation systems, Optimization, Water cycle

Authors

First Name

A.

Last Name

El-Zahaby

MiddleName

-

Affiliation

Mechanical Power Engineering Department., Faculty of Engineering., Tanta University., Tanta., Egypt.

Email

-

City

Tanta

Orcid

-

First Name

Amr

Last Name

EL-Nashar

MiddleName

-

Affiliation

Air Force Research Center., Egypt.

Email

-

City

-

Orcid

-

First Name

Bahgat

Last Name

Abd El-Rahman

MiddleName

-

Affiliation

Researcher at Mechanical Power Engineering Department., Faculty of Engineering., Mansoura

Email

eng_bahgat@hotmail.com

City

-

Orcid

-

Volume

39

Article Issue

1

Related Issue

15575

Issue Date

2014-03-01

Receive Date

2014-01-30

Publish Date

2020-07-15

Page Start

8

Page End

22

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 39_Issue 1_Pages 8-22.pdf

PDF . 1.3MB

Link

https://bfemu.journals.ekb.eg/article_103093.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=103093

Order

4

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Optimization of Developed Irrigation System Network Using Genetic Algorithms.

Details

Type

Article

Created At

22 Jan 2023