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Honeywell names winners of 2015 UniSim Design Student Challenge

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Four students from Malaysia’s Curtin University have been named winners of the Honeywell UniSim Design Student Challenge. The annual competition challenges students to solve real-world problems facing industrial processing plants.

Honeywell Process Solutions named four engineering students from Curtin University in Sarawak, Malaysia, Ren Jie Lee, Shih Chiang Lim, Tze Mun Sam and Ying Ting Loo as the winners of the prestigious challenge.

The students’ project detailed improvements that could be made to the energy efficiency of gas processing plants by retrofitting natural gas liquid fractionation trains using an innovative self-heat recuperative process. This increases the efficiency of natural gas and gas liquids plants, addressing a critical global issue as the energy industry struggles to keep up with consumer and commercial demand.

Observing that the students have approached a familiar industry issue in a totally fresh and creative way, Ali Raza, vice president and general manager of Honeywell Process Solutions’ Advanced Solutions business said that their retrofit solution has the potential to save plant operators millions of dollars every year.

Seeking to recognise some of the most talented engineering students around the world, the UniSim Design competition challenges students to solve real-world problems facing industrial processing plants by using Honeywell’s UniSim Design process simulation and design software, which is used by manufacturers throughout the globe. Winners earn the chance to present their research projects to many of the world’s top manufacturers and potential employers at the annual Honeywell Users Group (HUG) Conference.

Used extensively for plant design, performance monitoring, troubleshooting, operational improvement, business planning and asset management around the world, Honeywell’s UniSim Design Suite provides an interactive process model that allows engineers to create steady-state and dynamic models. UniSim Design models may be leveraged into advanced training and optimisation solutions provided by the UniSim Operations and UniSim Optimisation suites.

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