Gas distribution network consists of technologically, organizationally and economically interconnected objects designed to transport and supply gas directly to consumers. Modeling of these networks is an opportunity to analyze the current state of the system and to provide forecasting of changes in the operating mode of the network. It can also create enhanced opportunities for calculating the state of the network under different conditions, including situations arising due to extraordinary circumstances, such as military operations.
To ensure reliable and efficient operation of a gas distribution network, operational and capital expenditures are required, i.e. there is a need for constant realization of investment projects. These are aimed at renewal, dismantling of stranded assets, and / or installation of new equipment. Key to these costs is the maintenance of gas pipelines with their ageing being the main problem due to operation prolonged even beyond their projected lifespan. Consequently, when modeling gas distribution networks in Ukraine, the task is to optimize the existing gas systems bearing in mind the target of minimizing operating costs.
This paper presents a visualization of several projects in Ukraine with optimization of losses in peace time and even in the current war time. There will be several case studies of using a modeling software to achieve such an optimization. An example will be given of a gas distribution network, in which, the calculation of hydraulic processes and redesign and optimization of equipment was carried out, which made it possible to significantly reduce economic losses. This result was achieved by reducing the number of gas distribution points and analyzing the condition of gas pipelines in operation. It will also present an example of a project that was calculated under critical conditions due to damage after war, a schematic representation of this system and the results of these calculation scenarios. The problem conditions were limited by the presence of only one workable gas supply point in the system out of several existing ones.
