Environmental and cost life-cycle approach to support selection of windows in early stages of building design

被引:11
作者
Saadatian, Shiva [1 ,2 ]
Rodrigues, Carla [1 ]
Freire, Fausto [1 ]
Simoes, Nuno [3 ,4 ]
机构
[1] Univ Coimbra, Dept Mech Engn, ADAI, Polo2,Rua Luis Reis St, P-3030788 Coimbra, Portugal
[2] Univ Coimbra, Inst Interdisciplinary Res, Casa Costa Alemao, Polo2,Rua Dom Francisco Lemos, P-3030789 Coimbra, Portugal
[3] Itecons, Inst Res & Technol Dev Construction, Energy, Environm & Sustainabil, Rua Pedro Hispano, P-3030289 Coimbra, Portugal
[4] Univ Coimbra, Dept Civil Engn, ADAI, Polo2,Rua Luis Reis St, P-3030788 Coimbra, Portugal
关键词
Windows; Early-stage decisions; Life-cycle assessment; Life-cycle cost; Probabilistic triage; ENERGY; PERFORMANCE; SUSTAINABILITY; REQUIREMENTS; OPTIMIZATION; METHODOLOGY; UNCERTAINTY; ASSESSMENTS; INSULATION; IMPACTS;
D O I
10.1016/j.jclepro.2022.132624
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The selection of windows with the lowest life-cycle environmental impacts in an early-design stage is important to minimize impacts of buildings. Hence, an environmental and cost streamlined life-cycle assessment (LCA) approach, incorporating probabilistic triage, has been developed to support early-decision making for selection of window materials and components. This approach permits also to reduce the uncertainty in the estimated results by means of sequentially specifying attributes based on the attribute ranking. For demonstration purposes, a large number of window alternatives has been assessed for a reference office room. This approach proved to be effective in providing robust results to support the selection of windows by specifying very few window-related attributes (less than 8). The attribute ranking results show that the most influential attributes in terms of cost and environmental LCA are window-to-wall ratio and orientation, respectively. Future market window solutions with a wide range of alternative materials and components, impacting thermal transmittance and solar factor values, can be assessed using this approach to find optimal cost and environmental performance of buildings.
引用
收藏
页数:11
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