Stochastic Analysis in Production Process and Ecology Under Uncertainty

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 deal...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bieda, Bogusław (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Environmental management.
Biometry.
Electric power production.
Energy policy.
Energy and state.
Ecology .
Environmental Management.
Biostatistics.
Electrical Power Engineering.
Mechanical Power Engineering.
Energy Policy, Economics and Management.
Ecology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • 1. Introduction to Monte Carlo (MC) method. Random variables in stochastic models
  • 2. Stochastic model of the diffusion of pollutants in landfill management using Monte Carlo simulation
  • 3. The role of risk assessment in investment costs management, based on the example of Waste Treatment (Gasification) Facility in the City of Konin
  • 4. Stochastic analysis of the environmental impact of energy production processes, based on the example of ArcelorMittal Poland S.A. Power Plant, Unit in Kraków, Poland
  • 5. Stochastic analysis, using Monte Carlo (MC) simulation, of the life cycle management of waste, from an annual perspective, generated by ArcelorMittal Poland S.A. Unit in Kraków, Poland
  • 6. Summary.

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