Abstract
To improve the energy efficiency of the large existing building stock, there is a need for decision-support to determine optimal solutions considering different objectives. In the study, it is aimed to find appropriate optimization methods through their hyperparameter optimization that will support designers at the early design stage of a building refurbishment project for environmental and economic sustainability. For this, NSGA-II, NSGA-III, C-TAEA, RVEA were investigated with a case study on residential buildings. The first three methods were observed to give limited renewal proposals, while RVEA provided diversified renovation scenarios with its models’ features open to preference related to this.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2024 European Conference on Computing in Construction |
| Editors | Marijana Srećković, Mohamad Kassem, Ranjith Soman, Athanasios Chassiakos |
| Publisher | European Council on Computing in Construction (EC3) |
| Pages | 175-182 |
| Number of pages | 8 |
| ISBN (Print) | 9789083451305 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | European Conference on Computing in Construction, EC3 2024 - Chania, Greece Duration: 14 Jul 2024 → 17 Jul 2024 |
Publication series
| Name | Proceedings of the European Conference on Computing in Construction |
|---|---|
| Volume | 2024 |
| ISSN (Electronic) | 2684-1150 |
Conference
| Conference | European Conference on Computing in Construction, EC3 2024 |
|---|---|
| Country/Territory | Greece |
| City | Chania |
| Period | 14/07/24 → 17/07/24 |
Bibliographical note
Publisher Copyright:© 2024 European Council on Computing in Construction.
