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System for modeling energy modes of own generation

A regime -economic model that takes into account a set of generation regime factors and offers the most optimal and economically advantageous solution

Client

Vertically integrated oil company

Problem

Main issues

Inefficient and outdated management of in-house generation, lack of a unified methodology and tools for modeling and optimizing operating modes of power plants. The lack of a suitable solution leads to:

Preconditions

Tasks

Key objectives of the project

Develop a fundamentally new digital system for managing your own generation:

01.

Create a single digital space for the consolidation of digital flows in the energy sector and their integration with related systems

02.

Increase the efficiency of production processes without huge investment

03.

Reduce energy and operating costs

Technologies

Client

HTML5, CSS3, Angular

Server

.NET 6, Python, KeyCloak, container microservice architecture

Data

PostgresPro, Greenplum

Integration with products

1С, SAP, Geoserver, Scada, SIEM (Arcsight, MaxPatrol)

Integration mechanisms

Kafka, NiFi, API

Monitoring

Prometeus, Grafana

Architecture modeling

ARIS

Solution

We have proposed a regime -economic model (REM), which takes into account a set of generation regime factors and offers the most optimal and economically advantageous solution.

The system is designed to simulate generation and operational management modes based on consolidated information flows, including raw materials and products.

The system performs:

The system has a convenient graphical data output for visual tracking of all investment project indicators.

Project Awards

Winner of the Best Digital Solutions for the Oil and Gas Industry competition in the nomination Best Solution Using Digital Twins of Processes

IX Federal Forum on IT and Digital Technologies of the Oil and Gas Industry of Russia Smart Oil & Gas 2023

Project results

Result of implementation

With the help of the new system, the Customer was able to improve the quality of energy supply management and achieve economic benefits.

Effects

5%

reduction in losses in non-optimal generation mode

by 2 times

reduced the time for data consolidation and verification

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