Genetic algorithm optimization of fuel consumption in compressor stations

摘要: Natural gas passing through pipelines is transported via compressor stations. These stations are usually installed at above 60 miles away from intervals in order to overwhelm the pressure loss generated friction or heat exchanging. Different compressors have been utilized these acquire constraint gradient and maintain required mass flow rate delivery. A considerable proportion of however consumed supply drift force. Since currently millions MMSCFD gases transferred between countries, it seems indispensable propose a precise model minimize fuel stumble on suitable decision-making variables. This paper analyzes non-linear mathematical relationships which evaluate steady, isothermal, one-dimensional compressible inside pipes. In next stage, study establishes equations associated performance finally evaluates consumption power generator. The activities divided into two categories: a) simulation by means computational modules, related fluid specifications main components transmission system, b) amelioration exploitation optimization methodology using genetic algorithms. Spread sheets as useful tools establish relationship among aforementioned sections analysis system comportment. modeling aims improve available network commensurate with stipulations system.