Simulation-time Reduction Techniques for a Retrofit Planning Tool

  • The design of retrofitted energy efficient buildings is a promising option towards achieving a cost-effective improvement of the overall building sector’s energy performance. With the aim of discovering the best design for a retrofitting project in an automatic manner, a decision making (or optimization) process is usually adopted, utilizing accurate building Simulation models towards evaluating the candidate retrofitting scenarios. A major factor which affects the Overall computational time of such a process is the simulation execution time. Since high complexity and prohibitive simulation execution time are predominantly due to the full-scale, detailed simulation, in this work, the following simulation-time reduction methodologies are evaluated with respect to accuracy and computational effort in a test building: Hierarchical clustering; Koopman modes; and Meta-models. The simplified model that would be the outcome of these approaches, can be utilized by any optimization approach to discover the best retrofitting option.

Download full text files

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author:Georgios Giannakis, Georgios KontesORCiD, Ivan Korolija, Dimitrios Rovas
URN:urn:nbn:de:bvb:92-opus4-2516
URL / DOI:http://www.ibpsa.org/?page_id=962
ISBN:978-1-7750520-0-5
ISSN:2522-2708
Parent Title (English):Proceedings of Building Simulation 2017: 15th Conference of IBPSA
Editor:Charles Barnaby, Michael Wetter
Document Type:conference proceeding (article)
Language:English
Release Date:2018/01/30
Tag:Gaussian Processes; Hierarchical Clustering; Meta-models; Retrofit Planning; Simulation
Pagenumber:S. 2014 - 2023
Note:
Funding:
1. FP7-ICT-2011-6: Building as a Service (BaaS, #288409)

2. H2020-EeB5-2015: Optimised Energy Efficient Design
Platform for Refurbishment at District Level (OptEEmAL, #680676)

3. H2020-EeB-2015: Modelling Optimization of Energy Efficiency
in Buildings for Urban Sustainability (MOEEBIUS, #680517)
Konferenzangabe:Building Simulation 2017, August 7-9, 2017, San Francisco, USA
Licence (German):Creative Commons - Namensnennung-Keine kommerzielle Nutzung-Weitergabe unter gleichen Bedingungen
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.