Designing a Comprehensive Model for Selecting the Best Fuel in Natural Gas Value Chain (A case study in Iran)

The global trend towards natural applications in the fields of production and transportation is growing rapidly, and factors such as low cost, safety, availability, environment, and the development of technology and its application, especially in gas turbines, have made the product an alternative to petroleum fuels. Be. Many of the technological ways on the market explore the challenges and opportunities of using natural gas with the aim of identifying relevant productivity paths. As one of these solutions, in this article, a model for selecting the best fuel in the natural value chain in Iran is introduced from four options: compressed natural gas, natural gas, dimethylator and Gas- To- Liquid (GTL). First, based on a comprehensive study, fuel selection indicators were identified. Then, using Delphi technique and with the help of relevant experts, the indicators were screened and the final 20 cases were selected. In the next step, the indices were ranked, which was achieved through a group agreement between experts with a Kendall matching coefficient of 0.808. In order to convert rank into weight, a Rank Order Centroid (ROC) technique was used. Finally, with the weights of the indicators as well as the four options mentioned above, the CoCoSo technique is taken to determine the superior fuel. According to the results, liquefied natural gas is currently the best option for the country. And in the next rank, compressed natural gas is placed. The facts of the world confirm the accuracy of the results obtained.