Sustainability evaluation of retrofitting solutions for rural buildings through life cycle approach and multi-criteria analysis

被引:48
|
作者
Rocchi, L. [1 ]
Kadzinski, M. [2 ]
Menconi, M. E. [1 ]
Grohmann, D. [1 ]
Miebs, G. [2 ]
Paolotti, L. [1 ]
Boggia, A. [1 ]
机构
[1] Univ Perugia, Dept Agr Food & Environm Sci, Borgo 20 Giugno 74, I-06121 Perugia, Italy
[2] Poznan Univ Tech, Inst Comp Sci, Piotrowo 2, PL-60965 Poznan, Poland
关键词
Multi-criteria decision making; Decision analysis; Sustainability analysis; Energy efficiency; Life cycle approach; Multi-criteria sorting; THERMAL COMFORT; INSULATION MATERIALS; DECISION-ANALYSIS; ASSESSMENT LCA; ENERGY; CRITERIA; IMPACT; EFFICIENCY; LIVESTOCK; SECTOR;
D O I
10.1016/j.enbuild.2018.05.032
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In an international context that is faced with several environmental issues, especially in relation to energy efficiency, the finding of sustainable solutions for retrofitting existing buildings is a challenging issue. Comprehensive evaluation of the applied materials is required to understand their true impact on the environment as well as their economic suitability. Therefore, a life cycle-based approach is required. This work presents a hybrid method, including energy and comfort optimization, Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) analysis, applied for retrofitting a traditional rural building and then combined together in a multi-criteria approach. The case study considers the assessment of the sustainability of several solutions for roof insulation according to seven criteria derived from the hybrid method developed: energy saving, non-renewable energy, comfort performance, global warming, ozone layer depletion, respiratory inorganics and Net Present Value. The multi-criteria approach used to combine these criteria is the Electre TRI-rC method. The results obtained with this method show the division of the materials into three categories with overall bad, medium or good performance. The stability of results is verified against a two-fold sensitivity analysis. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:281 / 290
页数:10
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