Optimization of gas transmission line is carried out to obtain pipe size, compressor size, and the location of compressor. This is a “snap-shot” approach, which means that the optimum condition obtained is based on a constant volume of gas to be delivered along the life cycle of the project. In reality, the demand of gas increases as the economy grows. This raises question how this increasing demand phenomenon affects the optimization procedure.
OPPINET (Optimization of Oil and Gas Transmission Pipeline Network), a research consortium in Institut Teknologi Bandung specialized in exploring the problems encountered in the optimization of fluid flow in pipeline, has developed a model non-linear optimization for pipeline. So far, the optimization is applied for given fluid flow rate as a constraint. This paper discloses the enhancement of the model to deal with pipeline optimization that addresses multi- temporal demand constraints. A case of pipeline of the pipeline to deliver gas at cascading demands along the project’s life cycle is given for illustration. The result produces several optimum conditions for each given interval period of gas demand. When the present values of their cost are compared, an interesting finding reveals that the loci of those optimum points show a continuous “bowl” pattern with a minimum point. This point is the optimum condition of pipeline development.
Keywords: Gas transmission line, optimization, multi-temporal demand.
Authors : Arsegianto, Edi Soewono, Evi Wahyuningsih & Delint Ira S