Term 242

Optimizing Ammonia plant using AI

Project Type: Self-Initiated

Project Description

There is a need to optimize ammonia production by combining simulation, AI prediction, and physical validation. This project addresses that by developing a prototype system with an integrated mechanical air separation unit to optimize a stage in the production.


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Project Team

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Yousef Yarbah Alshanqeeti
CHE
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Yasser Mohammad Alsumeeri
CHE
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Khalid Mansour Bukhari
ICS
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Hassan Abdulaziz Alsharyufi
ICS
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Mohammed Yousef Alsaad
ME
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Mohammad Aref Al Qanbar
ME

Team Coach

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Mr. Abdulmjeed Al-Othman
Graduate Assistant

Department of Information & Computer Science