Genetic algorithm optimization of fuel consumption in compressor stations

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