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.
Author: | Georgios Giannakis, Georgios KontesORCiD, Ivan Korolija, Dimitrios Rovas |
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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 |