• Duración:
    5 semanas
  • Dedicación:
    6–8 horas por semana
  • Precio:

    Agregar un Certificado Verificado por $99 USD

  • Institución
  • Tema:
  • Nivel:
  • Idioma:
  • Transcripción de video:
  • Tipo de curso:
    Al ritmo del instructor



Sobre este curso

Omitir Sobre este curso

Many engineers are puzzled by questions such as: how to shift or reduce peak heating demand to obtain a better match with a smart grid or renewable energy system? What is thermally more efficient: a heavy concrete building or a light timber-frame building? How effective is night ventilation in warm periods?

This course will provide you with the answers to these and many other questions related to dynamic thermal behavior in buildings.

We start with a recap of the various heat transfer phenomena that affect buildings’ thermal behavior. Then you will learn how to combine them in dynamic energy balances of relevant building elements such as windows, façades, floors, indoor walls and ceilings, air, furniture, and even the occupants. You will be guided step by step through the construction of a differential equation network, enabling you to understand how to model thermal energy demand and temperature levels during the construction and use of existing buildings and new and innovative building systems.

Secondly, you will learn how to solve the resulting equations by using either finite difference or response factor methods. As a result, you will be able to discover for yourself the effects of different designs, and also understand the basic principles which underlie well-known Building Simulation Tools and HVAC software like Energy+, esp-r, DOE-2, Carrier-HAP or TRNSYS. Thus will help you to maximize your correct use of these tools in the future.

Finally, you will apply your knowledge by building your own test-software in the language of your choice (e.g. Matlab, R, Python) and solving several equation networks in order to answer the questions posed above and to thermally optimize rooms in buildings in terms of temperature and energy efficiency, and even to determine the thermal comfort level for occupants accounting for radiant temperatures.

Lo que aprenderás

Omitir Lo que aprenderás
  1. How to apply diverse heat transfer laws to buildings.
  2. How to construct a thermal nodes network using different grey-box and white-box models.
  3. How to model a building’s dynamics, derive the corresponding balance equations, and solve the system of equations.
  4. To understand the effects of buildings’ construction and dynamic behavior on temperature profiles and energy demand and loads.
  5. How to combine pressure, mass and energy balances to model passive systems like a solar chimney or a ventilated cavity in a second-skin façade.

Conoce a tus instructores

Laure Itard
TU Delft

Obtén un Certificado Verificado para destacar los conocimientos y las habilidades que adquieras
$99 USD

Ver un modelo de certificado de edX en PDF
  • Oficial y verificado

    Obtén un certificado con la firma del instructor y el logotipo de la institución para demostrar tus logros y aumentar las posibilidades de conseguir trabajo

  • Fácil de compartir

    Agrega el certificado a tu currículum o publícalo directamente en LinkedIn

  • Incentivo comprobado

    El certificado te da un motivo más para completar el curso

  • Apoya nuestra labor

    edX, una organización sin fines de lucro, se sustenta con los certificados verificados para financiar la educación gratuita para todo el mundo

Testimonios de los estudiantes

Understanding and mastering dynamic building performance modelling is an important skill for the engineers of the future. The course Dynamic Energy Modelling for Buildings: Thermal Simulations is both relevant and important. Recent years have seen an increase in the number of buildings that overheat, and thermal simulations are an important tool in preventing overheating. Future building designers will need to be able to identify the most efficient and sustainable solutions, such as night cooling, solar chimneys, atriums, solar shading and ventilative cooling.

The methods and software used in the course make it possible to connect the thermal simulations to ventilation and energy performance and provide a full overview of the performance of the building. This is underpinned by an understanding of the mathematical models that are the foundation for the software.

The course is highly recommended!

Peter Foldbjerg

Senior Manager Daylight, Energy, and Indoor Climate The