Measuring Carbon in Cities and Their Buildings through Reverse Engineering of Life Cycle Assessment

IF 3.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Applied System Innovation Pub Date : 2023-08-28 DOI:10.3390/asi6050076
L. Bragança, María Concepción Verde Muniesa
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引用次数: 1

Abstract

According to the European Green Deal, excessive carbon emissions are the origin of global warming and must be drastically reduced. Given that the building sector is one of the major sources of carbon emissions, results imperative to limit these emissions, especially in a city context where the density of buildings is commonly higher and rapidly increasing. All stages of the life cycle of a building, including raw material harvesting, manufacturing of products, use phase of the building, end of life, all generate or reduce carbon. The manufacture of construction materials accounts for 11% of all energy and process-related emissions annually. Additionally, recent estimates indicate that over 80% of all product-related environmental impacts of a building are determined during the design phase of the building. These indicators reflect the urgent need to explore a low-carbon measure method for building design. This is here done using a linear regression Reverse Engineering model and percentage calculation. One of the hypotheses formulated relates Global Warming Potential (GWP) of −30.000 CO2eq or lower (around −165 CO2eq/m2) in the 25% of a block of houses, to carbon further reductions by 11%. This paper has identified barriers in terms of the databases needed to achieve this task.
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基于生命周期评估逆向工程的城市及建筑碳测量
根据欧洲绿色协议,过量的碳排放是全球变暖的根源,必须大幅减少。鉴于建筑业是碳排放的主要来源之一,因此必须限制这些排放,尤其是在建筑密度通常更高且迅速增加的城市环境中。建筑生命周期的所有阶段,包括原材料收集、产品制造、建筑使用阶段、寿命终止,都会产生或减少碳。建筑材料的制造每年占所有能源和工艺相关排放量的11%。此外,最近的估计表明,建筑物80%以上的产品相关环境影响是在建筑物的设计阶段确定的。这些指标反映出建筑设计迫切需要探索一种低碳的措施方法。这是使用线性回归逆向工程模型和百分比计算完成的。其中一个假设将25%的房屋的全球变暖潜能值(GWP)为−30.000 CO2eq或更低(约为−165 CO2eq/m2)与碳进一步减少11%联系起来。本文已经确定了实现这一任务所需的数据库方面的障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied System Innovation
Applied System Innovation Mathematics-Applied Mathematics
CiteScore
7.90
自引率
5.30%
发文量
102
审稿时长
11 weeks
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