Main Page
Deanship
The Dean
Dean's Word
Curriculum Vitae
Contact the Dean
Vision and Mission
Organizational Structure
Vice- Deanship
Vice- Dean
KAU Graduate Studies
Research Services & Courses
Research Services Unit
Important Research for Society
Deanship's Services
FAQs
Research
Staff Directory
Files
Favorite Websites
Deanship Access Map
Graduate Studies Awards
Deanship's Staff
Staff Directory
Files
Researches
Contact us
عربي
English
About
Admission
Academic
Research and Innovations
University Life
E-Services
Search
Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
REDUCING FALSE DISCHARGES OF GASEOUS FIRE SUPPRESSION SYSTEMS IN SAUDI ELECTRICITY COMPANY
التقليل من التفريغات الخاطئة لأنظمة اخماد الحريق الغازية في الشركة السعودية للكهرباء
Subject
:
Faculty of Engineering
Document Language
:
Arabic
Abstract
:
Reducing False Discharges of Gaseous Fire Suppression Systems in Saudi Electricity Company Hatem A Al-Dhubaib Dr. Mohamed Zytoon Abstract Gaseous fire suppression systems protect vital locations and critical assets against fire. Clean agent systems and carbon dioxide systems are the most common types of gaseous fire suppression systems installed in Saudi Electricity Company facilities. In case of fire, smoke begins raising up, at least two detectors must sense fire smoke to activate the system to extinguish fire. In the reality and according to the company historical investigation reports for the last four years, only 12% of total times that the gaseous fire suppression systems activated by fires smoke reason. It was found that, there are other factors can activate the system and classified as false discharge accident. It may occur due to many causes, most important of which are environment (Dust), human error and system trouble. This research studied these factors and focused on environmental factor which is responsible of around 68% of total activated times of gaseous fire suppression systems. Linear regression analysis and ANOVA analysis were applied to find the correlation between false discharge by environmental factor and airborne dust as well as Delphi method, pairwise comparisons and AHP calculations were used to find the best fire detection system to reduce the probability of false discharge accidents.
Supervisor
:
Dr. Mohamed Zytoon
Thesis Type
:
Master Thesis
Publishing Year
:
1441 AH
2020 AD
Added Date
:
Tuesday, June 23, 2020
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
حاتم الضبيب
Al-Dhubaib, Hatem
Researcher
Master
Files
File Name
Type
Description
46468.pdf
pdf
Back To Researches Page