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首页> 外文期刊>International journal for housing science and its applications >ANALYSIS OF BUILDINGS BASED ON THE MATERIALS LCA DATA
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ANALYSIS OF BUILDINGS BASED ON THE MATERIALS LCA DATA

机译:基于材料LCA数据的建筑分析

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Building industry as the principal sector to contribute to environmental burdens is accounted for production of the substantial amount of greenhouse or acidifying gasses, as well as is responsible for consumption of massive share of energy. Although the operation of buildings is liable for almost 80-90% of life-cycle energy consumed in buildings, the other phases of life cycle also require some special attention. Even if embodied material energy in the majority of buildings represents at about 10-20%, it may be a very significant fraction especially in modern energy efficient buildings. Demands on higher standard and comfort of living has recently caused that building design has become more complicated and requires interdisciplinary cooperation of specialists from technical as well as non-technical disciplines. Selection of building materials is an important step which may influence not only amount of embodied energy or embodied CO2 and SO2 emission, but also future operation (usage stage) in terms of consumed energy and released emissions of CO2 and SO2. In this paper, two alternatives of design of the same residential building were compared in terms of environmental performance of building materials used for building structures. Summarizing the results of the environmental evaluation the possibility to reach the reduction of embodied energy (by 16.2%), embodied CO2 (by 24.6%) and SO2 emissions (by 14.5%) has been proved through a simple change of material basis.
机译:建筑业是造成环境负担的主要部门,它产生了大量的温室气体或酸化气体,并消耗了大量的能源。尽管建筑物的运行对建筑物中消耗的生命周期能量的几乎80-90%负责,但生命周期的其他阶段也需要特别注意。即使在大多数建筑物中包含的物质能占大约10-20%,也可能是非常重要的一部分,尤其是在现代节能建筑物中。对更高标准和生活舒适性的要求最近导致建筑设计变得更加复杂,并且需要技术和非技术领域的专家进行跨学科合作。建筑材料的选择是重要的一步,它不仅会影响所体现的能量或所体现的CO2和SO2排放量,而且还会影响所消耗的能量以及所释放的CO2和SO2排放量的未来运行(使用阶段)。在本文中,根据用于建筑结构的建筑材料的环境性能,比较了同一住宅建筑的两种设计方案。总结环境评估的结果,通过简单地改变材料基础就证明了实现内含能量(降低16.2%),内含CO2(降低24.6%)和SO2排放(降低14.5%)的可能性。

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