Optimization of building form and its fenestration in response to microclimate conditions of an urban area

被引:0
作者
Javanroodi, Kavan [1 ]
Nik, Vahid M. [2 ,3 ]
Yang, Yuchen [1 ]
机构
[1] Chalmers Univ Technol, Dept Civil & Environm Engn, Div Bldg Technol, Gothenburg, Sweden
[2] Lund Univ, Dept Bldg & Environm Technol, Div Bldg Phys, SE-22363 Lund, Sweden
[3] EDP Sci, Prod Dept, F-91944 Les Ulis A, France
来源
12TH NORDIC SYMPOSIUM ON BUILDING PHYSICS (NSB 2020) | 2020年 / 172卷
关键词
ENERGY OPTIMIZATION; MODELS; ENVIRONMENT; CLIMATE; DESIGN; CFD;
D O I
10.1051/e3sconf/202017219002
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Designing building form in urban areas is a complicated process that demands considering a high number of influencing parameters. On the other hand, there has been an increasing trend to design highly fenestrated building envelopes for office buildings to induce higher levels of natural lighting into the workspace. This paper presents a novel optimization framework to design high-performance building form and fenestration configuration considering the impacts of urban microclimate in typical and extreme weather conditions during a thirty-year period of climate data (2010-2039). In this regard, based on the introduced technique and algorithm, the annual energy demand and thermal comfort of over 8008 eligible form combinations with eight different fenestration configurations and seven different building orientation angels were analysed in a detailed urban area to find optimal design solutions in response to microclimate conditions. Results showed that adopting the framework, annual heating, and cooling demand can be reduced by 21% and 38% while maintaining thermal comfort by taking design-based decisions at the early stages of design.
引用
收藏
页数:8
相关论文
共 20 条
[1]   A review on simulation-based optimization methods applied to building performance analysis [J].
Anh-Tuan Nguyen ;
Reiter, Sigrid ;
Rigo, Philippe .
APPLIED ENERGY, 2014, 113 :1043-1058
[2]  
[Anonymous], 2012, HYGROTHERMAL SIMULAT
[3]   Ant colony algorithm for building energy optimisation problems and comparison with benchmark algorithms [J].
Bamdad, Keivan ;
Cholette, Michael E. ;
Guan, Lisa ;
Bell, John .
ENERGY AND BUILDINGS, 2017, 154 :404-414
[4]  
Brockerhoff M., 2018, POPULATION DEV REV
[5]   Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates [J].
Cascone, Ylenia ;
Capozzoli, Alfonso ;
Perino, Marco .
APPLIED ENERGY, 2018, 211 :929-953
[6]   The comparison of some advanced control methods for energy optimization and comfort management in buildings [J].
Esmaeilzadeh, Ahmad ;
Zakerzadeh, Mohammad Reza ;
Koma, Aghil Yousefi .
SUSTAINABLE CITIES AND SOCIETY, 2018, 43 :601-623
[7]   A fast daylighting method to optimize opening configurations in building design [J].
Fernandez, Eduardo ;
Beckers, Benoit ;
Besuievsky, Gonzalo .
ENERGY AND BUILDINGS, 2016, 125 :205-218
[8]   Comparison of methods for generating typical meteorological year using meteorological data from a tropical environment [J].
Janjai, S. ;
Deeyai, P. .
APPLIED ENERGY, 2009, 86 (04) :528-537
[9]  
Javanroodi K., 2019, BUILDINGS, V9, P198
[10]   Interactions between extreme climate and urban morphology: Investigating the evolution of extreme wind speeds from mesoscale to microscale [J].
Javanroodi, Kavan ;
Nik, Vahid M. .
URBAN CLIMATE, 2020, 31