Цифровые близнецы энергосистем: интеллектуальное будущее электроэнергетики

Современные энергосистемы сталкиваются с беспрецедентными вызовами: рост доли возобновляемых источников, усложнение сетевой топологии, необходимость обеспечения устойчивости к киберугрозам....

IoT Challenges and Industry 4.0

The opportunities that IIoT and Industry 4.0 solutions offer for businesses are manifold. However, there are a number...

Predictive Maintenance – Part 2: How does predictive maintenance work?

This article follows our piece on Predictive Maintenance 101 – What Is It and Where Is It Used?...

Big Data, IoT and SEEBURGER

What do bread rolls and big data have in common? Data is generated in masses – even in...

Showing the invisible: Using Fischertechnik Models to Make the Integration of Industrial Processes Visible

In contrast to the majority of applications, software used in data integration often doesn’t have a nice, intuitive...

The Bullwhip Effect: What Is It and What Causes It?

Let’s start with a question. What is the connection between a bullwhip and a supply chain? It sounds...

5G to Accelerate B2B-Integration in (I)IoT Through a Smart Farming Pilot Project

So far, we have only known concepts such as smart cities or smart regions through mainly small, specialist...

Green Logistics: How Digitalization is Driving Sustainability in Logistics

Can digitalization help drive sustainability in the logistics sector? Oh yes! This is not merely possible, but in...

Data integration for collaborative assembly

Customers expect increasingly individualized products in very small quantities. In Industry 4.0, this goes all the way to...

Industrial Internet of Things in the 5G Era: Transforming Manufacturing Communications and Real-Time Operations

The convergence of fifth-generation wireless technology with Industrial Internet of Things represents a paradigm shift that fundamentally redefines...

e-works Industry 4.0 visit to SEEBURGER

The Chinese delegation from e-works visited Bretten on 1.4.2019. As part of their Industry 4.0 company visits, a...

Why Your Supply Chain Needs Real-Time Data

Progressive digitalisation has meant that we require – and expect – far more of our supply chains these...

Smart Services – from passive to active (I)IoT applications

IoT applications have so far mainly been used in connection with networking and analysis of field and operational...

Predictive Maintenance – Part 1: Predictive Maintenance 101 – What Is It and Where Is It Used?

Sooner or later, components in constant use start to wear out. You need to repair or replace them...

From Drivetrain to Blockchain: transparency in the automotive supply chain

Blockchain is increasingly becoming more widespread in its use outside of just the financial services industry. Providing the...

IIoT (Industrial IoT) and Industry 4.0 – Examples

By connecting and integrating machines and facilities with complex IT systems, IIoT and Industry 4.0 offer new possibilities...

Industry 4.0 and Lean Management – How to Manage the Chaos

Value chains are becoming increasingly complex and networked. This is not only due to globalisation, but also to...

B2B E-Commerce Part 4 – Intelligent Systems Integration in E-Commerce

The first part of our blog series on systems integration for e-commerce was an e-commerce 101. The second...

Digitalization in the Manufacturing Industry

Manufacturing companies are faced with the challenge of digital change within their value chain. They continuously need to...

Industrial Data Integration – Aggregation and logging of industrial process data by integration of heterogeneous data streams

The integration of the heterogeneous data streams generated in industrial processes enables the optimization of added value. Aggregation...
  • William
  • Blog

What is Digital Twin Energy Management and Why is it Important?

Disruptive technologies have taken the world by storm, and businesses have responded by undertaking digital transformation journeys in order to evolve with these technologies in competitive marketplaces. In only 20 years, digital transformation has fundamentally changed many areas of business and life by integrating new digital technologies into all areas of the financial, healthcare and retail industries – to drive innovation, keep up with ever changing customer expectations and ensure resiliency. And now, with many global initiatives of achieving a carbon free energy sector, digital twin technology has emerged as an energy management solution for ensuring resiliency in the utilities industry.

Digital twins make energy management a breeze

As the utilities industry starts moving to greener sources of renewable energy, the complexity of today’s energy sector necessitates using digital twins for efficient energy management. Digital twin energy management is the process of planning, organizing and controlling digital twin technology, which is accelerating digital transformation at companies like General Electric.
Digital twins are real time digital counterparts that virtually represent physical objects in their physical environments, such as solar arrays and wind turbines. Digital twins provide immediate insights into the status and performance of the utilities infrastructure. As a digital twin obtains information about energy consumption across facilities in different regions, including weather data and distribution trends, grid operators can communicate in real-time with nearby cities to coordinate shortages or excesses in energy. Connectivity and feedback between IIoT sensors are vital for collecting data from the environment for further processing and analysis, and the value of this data will increase as environmental insights are gleaned from digital twin technology.

Integrate digital twins for predictive maintenance

In 2019, a Gartner survey revealed that 74 percent of organizations that are implementing (I)IoT projects plan to integrate digital twins for predictive maintenance by 2024. This means that 26 percent of those organizations have no plans for digital twin integration and instead still rely on reactive maintenance, which means that affected equipment is only serviced when problems occur.

Using sensor data that is continuously uploaded to the cloud, organizations can use machine learning algorithms to simulate what-if scenarios for monitoring errors and deviations. This kind of monitoring represents the cornerstone of Industry 4.0 manufacturing—predictive maintenance. With predictive maintenance, utility plant operators can predict when systems need to be serviced. To extend critical physical and software asset lifecycles, control costs and make efficient use of limited resources, businesses should look for a digital twin energy management solution that adds automation, (I)IoT, analytics and AI into a predictive maintenance strategy.

Optimize digital twin energy management with integration

The digitalization of the utilities industry offers opportunities for new, efficient and smart ways of doing business, such as using digital twin technology. Indeed, one of the best ways to monitor power consumption and control energy sensors is to use a digital twin for energy management. The key features to look for in a digital twin energy management solution include:

  • Remote monitoring – the ability to observe real‑time energy consumption patterns and issues for informed and accurate decision‑making
  • Automation capabilities – the ability to schedule and automate motion sensors and thermostat settings for efficiency, safety and temperature consistency
  • Flexibility and scalability – the ability to configure a solution that can adapt to fluctuations in growing energy needs
  • Data and network security – the ability to protect sensitive information and intellectual property, especially when recording and transferring data via cloud technology

A centralized integration platform can provide all the key features required in a digital twin energy management solution.

Act quickly to changes in the utilities industry with integration

Digital twin technology enhances energy efficiency, optimizes asset management and reduces environmental impact. The management of digital twins in the utilities industry requires collaboration and constant communication between equipment, suppliers, applications, systems and people, which is why using a business integration platform is more important than ever.

Increasing regulations and increasing competition from new entrants in the renewable energy market mean that utilities providers must become smarter in how they operate, especially because the market is projected to reach $1,977.6 billion by 2030. For many utility companies, the ability to act quickly is directly dependent on the agility that their IT department can support in terms of integration and digitalization.

Download our whitepaper to learn how the SEEBURGER Business Integration Suite (BIS) can help you act quickly with seamless connectivity for onboarding partners, automating tasks and making all data accessible in the right channels at the right time. SEEBURGER BIS is the one integration platform trusted by more than 10,000 companies since 1986, supporting all digitalization requirements for the utilities industry with modular solutions and high-SLA cloud services.


Source: https://blog.seeburger.com/what-is-digital-twin-energy-management-and-why-is-it-important/

Inline Feedbacks
View all comments
guest