실시간 웨비나

Optimizing thermal management for passenger comfort and energy efficiency in aeronautics

Better thermal control from design to flight

2025년 5월 27일 오후 03:00 협정 세계시

공유

3D thermal simulation of an aircraft engine showcasing heat distribution and airflow for thermal management optimization

In the aviation industry, thermal management is a critical concern that extends far beyond passenger comfort—it directly impacts the energy efficiency of onboard systems. Poor control of temperature and airflow can lead to significant inconvenience, additional costs and complex technical challenges.

This webinar will explore how advanced methodologies combining system modeling and 3D thermal simulation (CFD) can help anticipate and optimize these issues from the design phase. Attendees will learn how digital simulation can accurately predict and optimize cabin thermal management, delivering benefits such as:


Key topics discussed in the webinar:

  • Leveraging CFD and system coupling/chaining methods (with AI) to improve thermal comfort and optimize the Environmental Control System (ECS)
  • Adopting advanced techniques for reliable prediction and reduced development costs
  • Examining concrete use cases to illustrate the benefits of a digital-first approach

By attending this webinar, you'll discover how to utilize digital simulation tools to enhance cabin heat exchange and airflow while seamlessly integrating energy and regulatory constraints. Don't miss this opportunity to optimize thermal management and drive greater passenger satisfaction and operational efficiency in your aeronautics projects.

Register now to secure your spot.

발표자 소개

Siemens Digital Industries Software

Darren Nunes

Senior Simcenter Solutions Consultant

Darren Nunes is a Senior Simcenter Solutions Consultant for SIEMENS Simcenter software suite and a registered professional engineer. He is a specialist in real-time simulation, controls verification and validation, and workflow management/optimization in the 1D simulation space. He also has specialization in reduced-order modeling, artificial intelligence, and machine learning. Darren Nunes received his B.S. in Electrical and Computer Engineering from Northeastern University, and his M.S. in Power Systems Management from Worcester Polytechnic Institute.