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Eco-efficiency in early design decisions: A multimethodology approach

机译:早期设计决策的生态效率:多重内法学方法

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摘要

Eco-efficiency is a key concept encompassing economic and environmental aspects to promote a more efficient use of resources and lower emissions. An eco-efficiency perspective in the design of products and services is thus essential in the pursuit of sustainability. This article proposes a novel decision-support methodological approach to assess the environmental impacts and costs in early design stages, aimed at providing informed recommendations to designers, manufacturers and decision-makers. This multimethodology approach integrates a streamlined life-cycle environmental and cost assessment with a data envelopment analysis (DEA) model that derives eco-efficiency ratios and compares alternative designs, without the need to subjectively weigh the different environmental and cost life-cycle metrics. A linear regression model is then used to indicate the most influential decision variables. This approach was applied to a retrofit process of a historic residential building located in Southern Europe. The metrics used to assess the design parameters are: climate change, acidification, eutrophication, non-renewable primary energy, and net present value. A sensitivity analysis on the decarbonization of the electricity mix was also performed. The multimethodology offers valuable guidance to allow decision-makers to progressively specify the decision variables in an iterative way, using robust methods allowing for the statistical validation of results. The case study revealed robust empirical results for building retrofits in Southern European climates, indicating that the variables that most impact eco-efficiency (in both short and long-term) are roof insulation thickness and material followed by exterior wall insulation material. After three variables specification, the average eco-efficiency always increased, with higher gains obtained for the scenarios with the current electricity mix (22-25% increase) and more modest gains obtained for the electricity decarbonization scenarios (8-15% increase). (C) 2020 Elsevier Ltd. All rights reserved.
机译:生态效率是涵盖经济和环境方面,以促进更有效地利用资源和降低排放的一个重要概念。在产品和服务的设计,生态效率的角度因此在追求可持续发展的关键。本文提出了一种新的决策支持的方法途径,以评估在早期设计阶段对环境的影响和成本,旨在为设计师,制造商和决策制定者提供知情的建议。此multimethodology方法集成了与数据包络分析(DEA)模型精简生命周期环境和成本的评估,即导出生态效率比和比较替代设计,而不需要主观权衡不同环境和成本生命周期指标。那么线性回归模型来表示最有影响力的决策变量。这种方法适用于一个历史悠久的住宅楼位于南欧的改造过程。用于评估的设计参数的指标有:气候变化,酸化,富营养化,不可再生的主要能源,和净现值。还进行上电混合料的脱碳敏感性分析。该multimethodology提供了宝贵的指导意见,允许决策者在迭代的方式逐步指定决策变量,采用稳健的方法允许结果的统计验证。该案例研究揭示健壮经验结果为构建在南欧气候改造,表明变量最影响生态效率(在短期和长期)是屋顶隔热厚度和材料,随后外墙保温材料。后三个变量规格,平均生态效率总是增加,与目前的电力结构(22-25%的增长)和电力脱碳场景(8-15%的增长)获得更多的温和上涨的情况下获得更高的收益。 (c)2020 elestvier有限公司保留所有权利。

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