Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric Design

In tropical areas of China, energy saving is an important part of architectural design, and the energy-saving potential of residential buildings has attracted extensive attention. This paper studies the daylighting, ventilation, and building energy consumption in tropical areas to find out the best...

Full description

Saved in:
Bibliographic Details
Main Authors: Jianjian Zhang, Lin Ji
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/6511290
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832549204880261120
author Jianjian Zhang
Lin Ji
author_facet Jianjian Zhang
Lin Ji
author_sort Jianjian Zhang
collection DOAJ
description In tropical areas of China, energy saving is an important part of architectural design, and the energy-saving potential of residential buildings has attracted extensive attention. This paper studies the daylighting, ventilation, and building energy consumption in tropical areas to find out the best energy-saving performance parameters. The building model is established by grasshopper, and the parameters of daylighting, ventilation performance and cooling load are simulated. The octopus plug-in in grasshopper is used to calculate the target value iteratively, so as to find the relative optimal value of multiobjective. Finally, the optimized design value is compared with the initial value. The results show that the refrigeration energy consumption is greatly reduced from 188.20 kwh/m2 to 163.02 kwh/m2, the Daylight Autonomy (DLA) is reduced from 60.71% to 58.56%, and the ventilation wind speed is increased from 0.62 to 0.63 m/s. It can be seen from the results that although the daylighting objectives was reduced, the cooling energy consumption is greatly reduced, and the optimized daylighting layout is more balanced and reasonable. Therefore, on the basis of reasonable layout, this optimization study effectively reduces the refrigeration energy consumption and achieves the goal of green energy saving.
format Article
id doaj-art-e68cc97653cd44d6b76588f78aa846eb
institution Kabale University
issn 1687-8086
1687-8094
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-e68cc97653cd44d6b76588f78aa846eb2025-02-03T06:11:57ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/65112906511290Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric DesignJianjian Zhang0Lin Ji1Macau Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, ChinaGraduate School of Business, SEGi University, Kuala Lumpur 47810, MalaysiaIn tropical areas of China, energy saving is an important part of architectural design, and the energy-saving potential of residential buildings has attracted extensive attention. This paper studies the daylighting, ventilation, and building energy consumption in tropical areas to find out the best energy-saving performance parameters. The building model is established by grasshopper, and the parameters of daylighting, ventilation performance and cooling load are simulated. The octopus plug-in in grasshopper is used to calculate the target value iteratively, so as to find the relative optimal value of multiobjective. Finally, the optimized design value is compared with the initial value. The results show that the refrigeration energy consumption is greatly reduced from 188.20 kwh/m2 to 163.02 kwh/m2, the Daylight Autonomy (DLA) is reduced from 60.71% to 58.56%, and the ventilation wind speed is increased from 0.62 to 0.63 m/s. It can be seen from the results that although the daylighting objectives was reduced, the cooling energy consumption is greatly reduced, and the optimized daylighting layout is more balanced and reasonable. Therefore, on the basis of reasonable layout, this optimization study effectively reduces the refrigeration energy consumption and achieves the goal of green energy saving.http://dx.doi.org/10.1155/2021/6511290
spellingShingle Jianjian Zhang
Lin Ji
Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric Design
Advances in Civil Engineering
title Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric Design
title_full Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric Design
title_fullStr Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric Design
title_full_unstemmed Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric Design
title_short Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric Design
title_sort optimization of daylighting ventilation and cooling load performance of apartment in tropical ocean area based on parametric design
url http://dx.doi.org/10.1155/2021/6511290
work_keys_str_mv AT jianjianzhang optimizationofdaylightingventilationandcoolingloadperformanceofapartmentintropicaloceanareabasedonparametricdesign
AT linji optimizationofdaylightingventilationandcoolingloadperformanceofapartmentintropicaloceanareabasedonparametricdesign