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Digital Twins and Simulation for Renewable Energy Systems

CODE: RE27 

DURATION: 5 Days/10 Days

CERTIFICATIONS: CPD

  • Modern facilities
  • Course materials and certificate
  • Accredited international trainers

5 Days

$6,500

10 Days

$11,700

Course Overview

This course explores the application of digital twin technology and simulation in renewable energy systems. It covers the creation of virtual replicas of solar, wind, hydro, and hybrid energy assets for real-time monitoring, predictive maintenance, and performance optimization. The course also highlights how digital twins enable proactive fault detection, resource management, and cost reduction, driving sustainability and maximizing energy yield. Participants will learn how digital twins support design optimization, operational efficiency, and grid integration by simulating various scenarios and environmental factors.   

Course Delivery

This course is available in the following formats:

Virtual

Classroom

Request this course in a different delivery format.

Course Outcomes

Delegates will gain the knowledge and skills to:

Understand the core concepts and architecture of digital twin technology in renewable energy systems.

Develop and implement virtual models to simulate the performance of solar, wind, hydro, and hybrid energy assets.

Utilize real-time data for monitoring, predictive maintenance, and performance optimization.

Analyze various environmental conditions and operational scenarios to improve system reliability and efficiency.

Integrate digital twins with IoT devices and AI-driven analytics for enhanced decision-making.

Assess the economic and sustainability impacts of digital twins in renewable energy projects.

Design simulations to support grid integration, resource management, and expansion planning.

Key Course Highlights

At the end of this course, you’ll understand:

  • The fundamental principles and architecture of digital twin technology in renewable energy systems.
  • How digital twins support real-time monitoring, predictive maintenance, and fault detection.
  • Simulation techniques to optimize renewable energy production and operational efficiency.
  • Integration of digital twins with IoT and AI for enhanced analytics and decision-making.
  • The economic and sustainability benefits of digital twins in energy projects.
  • Strategies for improving grid resilience and renewable energy integration using digital twins.
  • Best practices and challenges in deploying digital twin technology in the renewable energy sector.
Who Should Attend

The course is ideal for engineers, system operators, energy project developers, researchers, policymakers, and decision makers who seek to leverage digitalization and simulation tools to improve system reliability, reduce operational risks, and accelerate the transition to sustainable energy solutions. It is also relevant to technology providers and consultants supporting renewable energy projects.

Upcoming Course Dates

Delivery Format: Classroom & Virtual

Date: 30/03/2026

Location: London

Delivery Format: Classroom & Virtual

Date: 06/07/2026

Location: Houston ($6,850)

Delivery Format: Classroom & Virtual

Date: 26/10/2026

Location: London

Digital Twins and Simulation for Renewable Energy Systems

✓ Modern facilities

✓ Course materials and certificate

✓ Accredited international trainers

✓ Training materials and workbook

✓ Access to online resources

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