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Layout Optimization of Gas Compression Station Equipment with Branch and Bound Algorithm

The arrangement of process equipment and buildings can have a big impact on efficiency of a plant. In an effort to maximize plant efficiency, the plant's layout design should facilitate the production process, minimize the material process flow and operating costs, and still meet the safety and security aspects of the operation. This research is about optimizing a gas compression station equipment layout. For the purpose, an MINLP model was developed and solved by with Branch and Bound Algorithm. The model takes into consideration factors of safety distance and wind direction consideration due to Flare Stack position to minimize material flow costs. The result showed that the optimized layout is different with the existing layout. The optimized layout can achieve up to 21.6% cost less than the reference one.