| Id | 2951 | |
| Author | Mirzabeigi S.; Razkenari M. | |
| Title | Design optimization of urban typologies: A framework for evaluating building energy performance and outdoor thermal comfort | |
| Reference | Mirzabeigi S.; Razkenari M. Design optimization of urban typologies: A framework for evaluating building energy performance and outdoor thermal comfort,Sustainable Cities and Society 76 |
|
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119081329&doi=10.1016%2fj.scs.2021.103515&partnerID=40&md5=50f0dbc7ffcb83565d7a3397e01a03ea |
|
| Abstract | In the physics-based simulation of urban geometries, the outdoor environment was usually simulated separately from buildings – until recently, when the holistic assessment of the urban environment began to attract more attention. Although analyzing design alternatives with multiple objectives is still a challenge, computational tools enable generating thousands of scenarios to rapidly assess performance corresponding to a specific goal. In this study, we developed a multi-phase optimization framework for conceptual urban design. We tested this framework for urban typologies in Syracuse. The energy performance of each alternative was compared with a baseline. The alternatives that generate wasteful energy performance were filtered out first, then remaining scenarios that performed better than the baseline were analyzed using outdoor thermal comfort autonomy (OTCA). Mid-rise multifamily buildings showed the best performance (55.8% energy improvement compared to the baseline). Although hot week outdoor comfort satisfaction among selected mid-rise typologies was high (92.9–98.5%), the satisfaction in cold week was very low (between 8.4–11.6%) among them. This framework contributes to identifying an acceptable range of design solutions by broadening the perspective of the field toward using a more customized optimization framework in early design that will further guarantee the requirements of energy efficient and sustainable cities. © 2021 Elsevier Ltd |
|
| Keywords | New York United States ; Syracuse; United States; Architectural design; Thermal comfort; Urban planning; Building energy performance; Design optimization; Energy simulation; Optimisations; Optimization framework; Outdoor thermal comfort; Performance; Urban design; Urban geometry; building; computer simulation; conceptual framework; energy efficiency; geometry; optimization; typology; urban design; Energy efficiency |
Wordcloud:
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.
2021 © CD