| id |
ascaad2022_011 |
| authors |
Najafi, Qodsiye; Mahlabani, Yousef; Goharian, Ali; Mahdavinejad, Mohammadjavad |
| year |
2022 |
| title |
A Novel Design-Based Optimization Solution for Building by Sensitivity Analysis |
| source |
Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 632-653 |
| summary |
The important objective of a building must be to provide a comfortable environment for people. Heating, ventilation and air conditioning (HVAC) systems provide a comfortable environment, but they are using high energy consumption, therefore, designing an energy-efficient building that balances energy performance and thermal comfort is necessary. To achieve this subject is important to choose the effective parameters for energy performance. This research aim is to produce a methodology for multi-objective optimization of daylight and thermal comfort in order to study the effect of wall material and shading of an office building (Tehran a basic-location). The building simulation was developed and validated by comparing predicted daylight hours and thermal comfort hour based on test and training on Jupiter Notebook (Anaconda3). The sensitivity analysis uses a multiple linear regression (MLR) method. Secondly, optimization is based on a genetic algorithm (GA) with the effective parameters to optimize the daylight and thermal comfort performance. For this, we developed a parametric model using the Grasshopper plugin for Rhino and then use Honeybee and Ladybug plugins to simulate thermal comfort and daylight, at the end use the Octopus engine to find an optimization solution. The result of this paper is essential as a preliminary analysis for shading devices, window-to-wall ratios, and wall construction optimization in the open-plan office. |
| series |
ASCAAD |
| email |
|
| full text |
 file.pdf (1,133,882 bytes) |
| references |
Content-type: text/plain
|
| last changed |
2024/02/16 13:24 |
|
