Sainath, Garimella Venkata (2016) Hazard Operability Study for Blast Furnace and
Particulate Matter Dispersion Modelling for a Power Plant. MTech thesis.
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Abstract
Hazard Evaluation is an integral part of any process plant, for its smooth running and to avoid accidents, the study of Hazard Identification portrays the picture of all the potential hazards in the design, operation of the plant, which when dealt properly mission and vision of the company can be achieved. There are many Hazard Evaluation Procedures available to identify and assess the hazards. Hazard Evaluation Techniques can be broadly classified into qualitative and quantitative techniques. One such widely accepted technique for identification of Hazards is Hazard Operability Study (HAZOP). Generally, after identifying the hazards using HAZOP technique, identified hazards are then subjected for further evaluation and assessment to decide on the impact of the hazard and as per required changes may be brought.
In this Thesis, HAZOP technique has been extensively applied for identifying process hazards of the new Blast Furnace-5 at Rourkela Steel Plant. The Blast Furnace has been divided into sections of Stock House, Pulverized Coal Injection, Hot Blast System, Blast Furnace Proper and Cast House Management. These respective sections have been further divided into nodes, there by investigating the possible causes and consequences for the process deviations in a systematic and logical manner. An attempt has been made to suggest recommendations and include operating difficulties also in the report.
Item Type: | Thesis (MTech) |
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Uncontrolled Keywords: | HAZOP, Hazard, Causes, Consequences, Process Deviation, Blast Furnace |
Subjects: | Engineering and Technology > Chemical Engineering > Process Control Engineering and Technology > Chemical Engineering > Process Design |
Divisions: | Engineering and Technology > Department of Chemical Engineering |
ID Code: | 9081 |
Deposited By: | Mr. Kshirod Das |
Deposited On: | 03 Apr 2018 18:01 |
Last Modified: | 03 Apr 2018 18:01 |
Supervisor(s): | Kumar, Arvind |
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