Overview
- LCA in steelmaking processes
- Monograph addresses a problem of stochastic analysis baded on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty
- Monograph are assembled from site-specific data, data existing in the most current literature, and professional judgment
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
The monograph addresses a problem of stochastic analysis based on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty. The first chapter defines the Monte Carlo (MC) method and random variables in stochastic models. Chapter two deals with the contamination transport in porous media. Stochastic approach for Municipal Solid Waste transit time contaminants modeling using MC simulation has been worked out. The third chapter describes the risk analysis of the waste to energy facility proposal for Konin city, including the financial aspects. Environmental impact assessment of the ArcelorMittal Steel Power Plant, in Kraków – in the chapter four – is given. Thus, four scenarios of the energy mix production processes were studied. Chapter five contains examples of using ecological Life Cycle Assessment (LCA) – a relatively new method of environmental impact assessment – which help in preparing pro-ecological strategy, and which can lead to reducing the amount of wastes produced in the ArcelorMittal Steel Plant production processes. Moreover, real input and output data of selected processes under uncertainty, mainly used in the LCA technique, have been examined. The last chapter of this monograph contains final summary. The log-normal probability distribution, widely used in risk analysis and environmental management, in order to develop a stochastic analysis of the LCA, as well as uniform distribution for stochastic approach of pollution transport in porous media has been proposed. The distributions employed in this monograph are assembled from site-specific data, data existing in the most current literature, and professional judgment.
Authors and Affiliations
Bibliographic Information
Book Title: Stochastic Analysis in Production Process and Ecology Under Uncertainty
Authors: Bogusław Bieda
DOI: https://doi.org/10.1007/978-3-642-28056-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-28055-9Published: 25 May 2012
Softcover ISBN: 978-3-642-42780-0Published: 11 June 2014
eBook ISBN: 978-3-642-28056-6Published: 02 June 2012
Edition Number: 1
Number of Pages: XVI, 168
Topics: Environmental Management, Statistics for Life Sciences, Medicine, Health Sciences, Energy Systems, Energy Policy, Economics and Management, Ecology, Mathematical Modeling and Industrial Mathematics
Industry Sectors: Biotechnology