SUSTAINABLE DESIGN OF RESIDENTIAL NET-ZERO ENERGY BUILDINGS: A MULTI-PHASE AND MULTI-OBJECTIVE OPTIMIZATION APPROACH

被引:0
|
作者
Lan, Lan [1 ]
Wood, Kristin L. [1 ]
Yuen, Chau [1 ]
机构
[1] SUTD, 8 Somapah Rd, Singapore 487372, Singapore
来源
PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 2A | 2020年
关键词
COST-OPTIMAL DESIGN; SENSITIVITY-ANALYSIS; GENETIC ALGORITHM;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Zero energy building (ZEB) is an important concept for sustainable building design. This paper introduces a holistic design approach for residential net-zero energy buildings (NZEB) by adopting the Triple Bottom Line (TBL) principles: social, environmental, and financial. The proposed approach optimizes social need by maximizing thermal comfort time of natural cooling, and visual comfort time of daylighting. The environmental need is addressed by optimizing energy efficiency, and the financial need is addressed by optimizing life cycle cost (LCC). Multi-objective optimizations are conducted in two phases: the first phase optimizes the utilization rate of natural cooling and daylighting, and the second phase optimizes energy efficiency and LCC. Sensitivity analysis is conducted to identify the most influential variables in the optimization process. The approach is applied to the design of a landed house in a tropical country, Singapore. The results provide a framework and modeled cases for parametric design and trade-off analysis toward sustainable and livable built environment.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Multi-phase constrained multi-objective optimization via heterogeneous transfer
    Li, Huiting
    Jin, Yaochu
    Cheng, Ran
    INFORMATION SCIENCES, 2025, 700
  • [22] Evaluation of net-zero energy residential buildings in the MENA region
    Krarti, Moncef
    Ihm, Pyeongchan
    SUSTAINABLE CITIES AND SOCIETY, 2016, 22 : 116 - 125
  • [23] Multi-objective energy saving optimization of residential buildings based on MABC-BP
    Wang, Ning
    ENERGY REPORTS, 2023, 9 : 922 - 929
  • [24] Multi-objective optimization of an innovative integrated system for production and storage of hydrogen with net-zero carbon emissions
    Ghorbani, Bahram
    Zendehboudi, Sohrab
    Afrouzi, Zahra Alizadeh
    ENERGY CONVERSION AND MANAGEMENT, 2023, 276
  • [25] Analysis of the amount of latent carbon in the reconstruction of residential buildings with a multi-objective optimization approach
    Amani, Nima
    Rezasorous, Abdulamir
    Kiaee, Ehsan
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2024, 18 (06) : 2408 - 2434
  • [26] A Multi-Objective Optimization Approach to Polygeneration Energy Systems Design
    Liu, Pei
    Pistikopoulos, Efstratios N.
    Li, Zheng
    AICHE JOURNAL, 2010, 56 (05) : 1218 - 1234
  • [27] Multi-objective optimization design for office buildings in Xi'an
    Tian, Yixin
    Huang, Qiong
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2020, 52 (12): : 185 - 191
  • [28] Modelling and optimization framework for the multi-objective design of buildings
    Carreras, Joan
    Pozo, Carlos
    Boer, Dieter
    Guillen-Gosalbez, Gonzalo
    Caballero, Jose A.
    Ruiz-Femenia, Ruben
    Jimenez, Laureano
    26TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT A, 2016, 38A : 883 - 888
  • [29] Modular approach to multi-objective environmental optimization of buildings
    Kiss, Benedek
    Szalay, Zsuzsa
    AUTOMATION IN CONSTRUCTION, 2020, 111
  • [30] Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm
    Fesanghary, M.
    Asadi, S.
    Geem, Zong Woo
    BUILDING AND ENVIRONMENT, 2012, 49 : 245 - 250