RSS
Логотип
Баннер в шапке 1
Баннер в шапке 2

MPEI: Program to assess the climatic impact on the accident rate of power lines

Product
Developers: MPEI National Research University
Date of the premiere of the system: 2024/06/21
Branches: Power
Caption text

2024: Presentation of the program to assess the climatic impact on the accident rate of power lines

Scientists of NRU "MPEI" have developed a program to assess the climatic impact on the accident rate of power lines. The tool includes a mathematical model for assessing the accident rate of objects of the power grid complex as a result of exposure to climatic factors and an information panel with data visualization. The university announced this on June 21, 2024.

source = MPEI

This development makes it possible to demonstrate the structure of climatic causes and the number of technological violations according to the time intervals specified by the user, the names of power systems, the voltage class and the type of vulnerable equipment.

File:Aquote1.png
As of June 2024, climate risk assessment studies are very relevant in the context of public policy. They have a high degree of influence on critical infrastructure, the development and integration of measures aimed at increasing adaptation industries economies to climate change, - said the rector of NRU MPEI. Nikolay Rogalev
File:Aquote2.png

In recent years, accidents due to increased climatic loads have manifested themselves en masse and require significant economic costs for their elimination. The observed increased frequency of extreme and systematic hazardous meteorological events, both in the world and in Russia, only contributes to an increase in the share of accidents in the power grid complex, which has a high vulnerability due to its territorial dispersion.

In order to ensure reliable power supply to consumers, it is necessary to understand in advance the structure of accidents in a particular region, which is largely determined by the technical condition, as well as be able to predict outages based on data on expected climatic impacts.