| id |
ecaade2024_225 |
| authors |
Govindarajan, Praveen; Ortner, F. Peter; Aydin, Elif Esra |
| year |
2024 |
| title |
What Density for Net Zero Energy?: A trade-off between energy use, renewables, and indoor thermal comfort for high-rise residential precincts in tropical climates |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.2.037
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 37–46 |
| summary |
With advancements in Architectural Design Optimization (ADO) and Building Performance Simulation (BSP) tools, achieving Net Zero Energy (NZE) buildings is feasible by optimizing the balance between energy demand and on-site renewable energy generation. However, this poses several challenges in land-scarce urban areas, where on-site NZE is achievable with the tradeoff between development density (i.e., gross plot ratio - GPR), regions on-site for photovoltaic deployment, and energy efficiency associated with indoor thermal comfort (ITC). This study introduces a method to optimize high-rise residential precincts for NZE and ITC goals in tropical cities: Chennai and Singapore. The research evaluates design parameters related to urban layout, building geometry, and building performance through simulation-based optimization workflow. Though using a scalarized single-objective optimization (SOO) approach, this study identifies optimal densities of greater than 3.6 GPR for Chennai and 3 GPR for Singapore, meeting near-zero goals while ensuring adequate comfort. In conclusion, this applied methodology provides insights into the trade-offs between site density, indoor comfort, and net zero goals for tropical NZE urban developments. |
| keywords |
Design for Net Zero, Multi-Objective Optimization, Building Energy Performance, photovoltaics, Indoor Thermal Comfort |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (1,033,255 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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