A multi-objective life cycle approach for optimal building design: A case study in Finnish context

被引:50
|
作者
Pal, Sudip Kumar [1 ]
Takano, Atsushi [2 ]
Alanne, Kari [1 ]
Palonen, Matti [1 ]
Siren, Kai [1 ]
机构
[1] Aalto Univ, Dept Mech Engn, POB 14100, FI-00076 Aalto, Finland
[2] Kagoshima Univ, Dept Architecture & Architectural Engn, Kagoshima 890, Japan
关键词
Life cycle optimization; Embodied energy; Operational energy; Life cycle cost; Building envelope; ZERO-ENERGY BUILDINGS; EMBODIED ENERGY; RESIDENTIAL BUILDINGS; INSULATION MATERIALS; OPTIMIZATION METHOD; MATERIAL SELECTION; OFFICE BUILDINGS; COST; SYSTEMS; PERFORMANCE;
D O I
10.1016/j.jclepro.2016.12.018
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study demonstrates the possibility to use energy-cost optimal building designs based on life cycle approach. There is a lack of studies that cover the comprehensive assessment of both embodied energy (EE) and operational energy (OE) in a single optimization problem. The primary goal of the current study is to compare the optimized results of using OE+EE together and OE only. The optimization is performed on a case study building (townhouse) in Finland with three structural alternatives (i.e., reinforced concrete (RC); cross-laminated timber (CLT) and Steel). Different options for insulation thickness of external wall, roof, floor and window types were considered as decision variables as the scope of the present study is on building envelope. The objectives of the optimization are to minimize life cycle energy (LCE) and life cycle costs (LCC). The LCE difference between the most and least energy efficient solution on the pareto front is greater in case of the OE optimization, compared to OE+EE optimization. For all studied structures, the EE of the optimal solutions from OE+EE optimization ranges 16%-23% of LCE. Many of the non-dominated optimal solutions obtained from the OE+EE optimization shows a higher U-value for the building envelope components compared to the optimal solutions from the OE optimization. A relationship between both OE and EE with the overall thermal resistance of the building envelope is discussed to obtain a deeper understanding of such differences in U-value for the optimal solutions obtained from the OE+EE and OE optimization. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1021 / 1035
页数:15
相关论文
共 50 条
  • [41] A multidisciplinary approach to sustainable building material selection: A case study in a Finnish context
    Takano, Atsushi
    Hughes, Mark
    Winter, Stefan
    [J]. BUILDING AND ENVIRONMENT, 2014, 82 : 526 - 535
  • [42] An improved multi-objective ant colony algorithm for building life cycle energy consumption optimisation
    Yuan, Yan
    Yuan, Jingling
    Du, Hongfu
    Li, Li
    [J]. INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2012, 43 (01) : 60 - 66
  • [43] An improved multi-objective ant colony algorithm for building life cycle energy consumption optimisation
    School of Urban Design, Wuhan University, Luojia Hill, Wuhan, 430072, China
    不详
    [J]. Yuan, Y. (Shyy98@163.com), 1600, Inderscience Publishers (43):
  • [44] Multi-objective building envelope optimization for life-cycle cost and global warming potential
    Flager, F.
    Basbagill, J.
    Lepech, M.
    Fischer, M.
    [J]. EWORK AND EBUSINESS IN ARCHITECTURE, ENGINEERING AND CONSTRUCTION, 2012, : 193 - 200
  • [45] Systematic approach for the life cycle multi-objective optimization of buildings combining objective reduction and surrogate modeling
    Carreras, Joan
    Pozo, Carlos
    Boer, Dieter
    Guillen-Gosalbez, Gonzalo
    Caballero, Jose A.
    Ruiz-Femenia, Ruben
    Jimenez, Laureano
    [J]. ENERGY AND BUILDINGS, 2016, 130 : 506 - 518
  • [46] A multi-objective optimization strategy for building carbon emission from the whole life cycle perspective
    Chen, Ruijun
    Tsay, Yaw-Shyan
    Zhang, Ting
    [J]. ENERGY, 2023, 262
  • [47] MULTI-OBJECTIVE OPTIMIZATION APPROACH FOR IMPROVING PERFORMANCE OF BUILDING
    Kamenders, A.
    Blumberga, A.
    [J]. ENVIRONMENTAL AND CLIMATE TECHNOLOGIES, 2009, 3 (03) : 70 - +
  • [48] Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study
    Schwartz, Yair
    Raslan, Rokia
    Mumovic, Dejan
    [J]. ENERGY, 2016, 97 : 58 - 68
  • [49] Multi-objective warehouse building design to optimize the cycle time, total cost, and carbon footprint
    Accorsi, Riccardo
    Bortolini, Marco
    Gamberi, Mauro
    Manzini, Riccardo
    Pilati, Francesco
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 92 (1-4): : 839 - 854
  • [50] Multi-objective warehouse building design to optimize the cycle time, total cost, and carbon footprint
    Riccardo Accorsi
    Marco Bortolini
    Mauro Gamberi
    Riccardo Manzini
    Francesco Pilati
    [J]. The International Journal of Advanced Manufacturing Technology, 2017, 92 : 839 - 854