Integrated Building Design & Energy Simulation
Niveau
Introductory & advanced
Learning outcomes of the courses/module
The participants:
• analyze building services, building physics and energy-related relationships as well as their relevance for sustainable building and neighbourhood concepts.
• evaluate different planning, energy and supply concepts with regard to efficiency, economic viability, CO2 impact and system integration.
• develop strategic decisions within the framework of integrated building design, taking into account digital models and energy simulation results.
• examine factors influencing building energy demand and performance and derive optimisation approaches for sustainable building and operating concepts.
• reflect on the opportunities and limits of energy simulations as well as their significance for decision-making, planning and investment processes.
• analyze building services, building physics and energy-related relationships as well as their relevance for sustainable building and neighbourhood concepts.
• evaluate different planning, energy and supply concepts with regard to efficiency, economic viability, CO2 impact and system integration.
• develop strategic decisions within the framework of integrated building design, taking into account digital models and energy simulation results.
• examine factors influencing building energy demand and performance and derive optimisation approaches for sustainable building and operating concepts.
• reflect on the opportunities and limits of energy simulations as well as their significance for decision-making, planning and investment processes.
Prerequisites for the course
Basics of energy technologies
Course content
- Fundamentals of integrated building design and sustainable building physics
- Energy simulation
- Building energy demand, load profiles and performance analysis
- Planning and assessment of energy-efficient building and supply concepts
- Optimisation of energy and operating concepts over the life cycle
- Strategic decision-making processes based on simulation results
- Energy simulation
- Building energy demand, load profiles and performance analysis
- Planning and assessment of energy-efficient building and supply concepts
- Optimisation of energy and operating concepts over the life cycle
- Strategic decision-making processes based on simulation results
Recommended specialist literature
- Alavi, H., Kookalani, S., Rahimian, F., & Forcada, N. (2024). Integrated Building Intelligence (1st ed. 2024). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-68865-2
- Brackney, L., Parker, A., Macumber, D., & Benne, K. (2018). Building Energy Modeling with OpenStudio: A Practical Guide for Students and Professionals. Springer International Publishing. https://doi.org/10.1007/978-3-319-77809-9
- Chen, H., Yan, H., & He, G. (2025). Integrated Energy System Modeling and Simulation (1st ed. 2025). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-0373-2
- Dabija, A.-M. (2024). Architectural Design Strategies for Saving Energy in Buildings: An Architect’s View. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-73541-7
- Hensen, J., & Lamberts, R. (Eds). (2019). Building performance simulation for design and operation (Second edition). Routledge. https://doi.org/10.1201/9780429402296
- Stevanovic, S. (2022). Overhang Design Methods: Optimal Thermal and Daylighting Performance (1st ed). Springer.
- Brackney, L., Parker, A., Macumber, D., & Benne, K. (2018). Building Energy Modeling with OpenStudio: A Practical Guide for Students and Professionals. Springer International Publishing. https://doi.org/10.1007/978-3-319-77809-9
- Chen, H., Yan, H., & He, G. (2025). Integrated Energy System Modeling and Simulation (1st ed. 2025). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-0373-2
- Dabija, A.-M. (2024). Architectural Design Strategies for Saving Energy in Buildings: An Architect’s View. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-73541-7
- Hensen, J., & Lamberts, R. (Eds). (2019). Building performance simulation for design and operation (Second edition). Routledge. https://doi.org/10.1201/9780429402296
- Stevanovic, S. (2022). Overhang Design Methods: Optimal Thermal and Daylighting Performance (1st ed). Springer.
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Lectures, discussions, exercises, case studies, group work
Semester/trimester in which the course/module is offered
3