| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Metodology | Technique |
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