Carbon footprint of the hot-dip galvanisation process using a life cycle assessment approach

نویسندگان

چکیده

This work presents the carbon footprint (CF) of two hot-dip galvanisation (HDG) installations located in Spain with differences galvanising capacity and manufacturing process. The study determines influence direct emissions (scope 1), from electricity production 2), indirect upstream downstream processes 3). results showed that steel primary zinc were principal contributors to CF. So, efforts should be focused on reducing impact raw material included scope 3. Furthermore, sensitivity analyses are presented: i) one kg types products, special high-grade redistilled zinc; ii) use coatings: for paint pre-printed steel. environmental impacts SHG higher than zinc, all categories due great heavy metals emission. protections under same level corrosion, a greater thickness is needed protect pieces, compared coating. sustainability assessment HDG industry recommends sought technology alternatives aimed at resource efficiency, such as recovery spent pickling baths, could provide desirable reduction associated usage waste treatment.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

the impact of portfolio assessment on iranian efl students essay writing: a process-oriented approach

this study was conducted to investigate the impact of portfolio assessment as a process-oriented assessment mechanism on iranian efl students’ english writing and its subskills of focus, elaboration, organization, conventions, and vocabulary. out of ninety juniors majoring in english literature and translation at the university of isfahan, sixty one of them who were at the same level of writing...

15 صفحه اول

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Sensitivity analysis of parameters affecting carbon footprint of fossil fuel power plants based on life cycle assessment scenarios

In this study a pseudo comprehensive carbon footprint model for fossil fuel power plants is presented. Parameters which their effects are considered in this study include: plant type, fuel type, fuel transmission type, internal consumption of the plant, degradation, site ambient condition, transmission and distribution losses. Investigating internal consumption, degradation and site ambient con...

متن کامل

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

15 صفحه اول

Ecological footprint accounting in the life cycle assessment of products

Mark A.J. Huijbregts⁎, Stefanie Hellweg, Rolf Frischknecht, Konrad Hungerbühler, A. Jan Hendriks Department of Environmental Science, Faculty of Science, Radboud University Nijmegen, 6500 GL Nijmegen, The Netherlands Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland ecoinvent Centre, Empa, 8600 Duebendorf, Switzerland Institute for Chemicaland Bioengineering, ETH Zuri...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Cleaner engineering and technology

سال: 2021

ISSN: ['2666-7908']

DOI: https://doi.org/10.1016/j.clet.2021.100041