@inproceedings{GiannakisKontesKorolijaetal.2017, author = {Giannakis, Georgios and Kontes, Georgios and Korolija, Ivan and Rovas, Dimitrios}, title = {Simulation-time Reduction Techniques for a Retrofit Planning Tool}, series = {Proceedings of Building Simulation 2017: 15th Conference of IBPSA}, booktitle = {Proceedings of Building Simulation 2017: 15th Conference of IBPSA}, editor = {Barnaby, Charles and Wetter, Michael}, isbn = {978-1-7750520-0-5}, issn = {2522-2708}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-2516}, pages = {S. 2014 - 2023}, year = {2017}, abstract = {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.}, language = {en} }