Studying the natural gas market under demand uncertainty using a heterogeneous distributed computing environment
In the paper, we propose a new model of the natural gas market simulation. It takes into account the random nature of the natural gas demand that depends, for example, on temperature fluctuations during the heating period. The natural gas supplier strategy is optimized with the reservation of the necessary amount of fuel to compensate for demand fluctuations. To implement simulation modeling, we developed a scalable application with the DISCOMP framework. We apply DISCOMP to develop and use scalable applications in a heterogeneous distributed computing environment. The application significantly increases the number of model runs and improves the simulation accuracy in comparison with the Mathcad computations on a personal computer. © Published under licence by IOP Publishing Ltd.
Библиографическая ссылка
Zorkalzev V.I., Edelev A.V., Perzhabinsky S.M., Sidorov I.A., Feoktistov A.G. Studying the natural gas market under demand uncertainty using a heterogeneous distributed computing environment // Journal of Physics: Conference Series. Vol.1333. No.7. ID: 072005. 2019. DOI: 10.1088/1742-6596/1333/7/072005
