| Abstrakt: |
The escalating demand for natural gas underscores the imperative need for an optimized infrastructure facilitating the efficient transportation of gas from production hubs to end-users. This study introduces an innovative approach, employing the Fuzzy Analogical Gates methodology, to enhance the design and planning of natural gas transmission networks. The primary research objective is to achieve multiobjective optimization, prioritizing the augmentation of the delivery flowrate, the reduction of power consumption, and the maximization of line pack efficiency within the network. The proposed methodology entails a sequential application of Fuzzy Analogical Gates, commencing with the utilization of a symmetric AND gate, succeeded by an asymmetric Invoke gate, where the optimal weight index is judiciously chosen. To demonstrate the practical viability of this approach, an industrial case study is conducted, thereby verifying its real-world utility. Through the integration of Fuzzy Analogical Gates, the optimization of the design process is enriched, culminating in heightened network efficacy and performance. The inherently multidimensional nature of the optimization procedure enables a comprehensive evaluation of diverse factors, thereby ensuring optimal outcomes concerning delivery flowrate, power utilization, and line pack efficiency. In summary, this study contributes significantly to the advancement of natural gas transmission network design by introducing a pioneering methodology grounded in Fuzzy Analogical Gates. The findings underscore the potential of this technique to elevate the overall efficiency and sustainability of transmission systems. Consequently, this research offers invaluable insights into the optimization of pipeline transmission networks, thereby presenting a promising avenue for surmounting evolving challenges within this domain. [ABSTRACT FROM AUTHOR] |
