Academic Journal

Life cycle assessment for masonry exterior wall assemblies made of traditional building materials

التفاصيل البيبلوغرافية
العنوان: Life cycle assessment for masonry exterior wall assemblies made of traditional building materials
المؤلفون: Zimele, Z, Sinka, M, Bajare, D, Jakovics, A
المصدر: IOP Conference Series: Materials Science and Engineering ; volume 660, issue 1, page 012042 ; ISSN 1757-8981 1757-899X
بيانات النشر: IOP Publishing
سنة النشر: 2019
الوصف: Building materials contribute a significant amount of CO 2 to overall greenhouse gas emissions and this environmental impact should be reduced to improve the sustainability of the construction industry. Although new and low-carbon materials are emerging, the majority of materials used are still traditionally produced and are highly carbon intensive, such as masonry blocks and insulation slabs – rock wool or expanded polystyrene. To assess which of the traditionally used building materials are more sustainable, in this paper, wall models of the most widely used masonry blocks and insulation materials were analysed using life cycle assessment. The wall models were created to fulfil the requirements of nearly-zero energy buildings. The assessment showed that the lowest impact on the environment is from aerated concrete blocks and expanded polystyrene insulation, which is mostly due to low weight and raw materials consumption compared to other materials. On the other hand, expanded polystyrene insulation poses more danger to humans and the environment in its use phase than other materials due to emissions during fire and degradation, thus should be used with caution.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1088/1757-899x/660/1/012042
DOI: 10.1088/1757-899X/660/1/012042/pdf
DOI: 10.1088/1757-899X/660/1/012042
الاتاحة: http://dx.doi.org/10.1088/1757-899x/660/1/012042
https://iopscience.iop.org/article/10.1088/1757-899X/660/1/012042/pdf
https://iopscience.iop.org/article/10.1088/1757-899X/660/1/012042
Rights: http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
رقم الانضمام: edsbas.38842D6
قاعدة البيانات: BASE
الوصف
DOI:10.1088/1757-899x/660/1/012042