Buch, Englisch, 209 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 388 g
Reihe: LCA Compendium – The Complete World of Life Cycle Assessment
Methods and Data
Buch, Englisch, 209 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 388 g
Reihe: LCA Compendium – The Complete World of Life Cycle Assessment
ISBN: 978-3-030-62272-5
Verlag: Springer
Life Cycle Inventory (LCI) Analysis is the second phase in the Life Cycle Assessment (LCA) framework. Since the first attempts to formalize life cycle assessment in the early 1970, life cycle inventory analysis has been a central part.
Chapter 1 “Introduction to Life Cycle Inventory Analysis“ discusses the history of inventory analysis from the 1970s through SETAC and the ISO standard.
In Chapter 2 “Principles of Life Cycle Inventory Modeling”, the general principles of setting up an LCI model and LCI analysis are described by introducing the core LCI model and extensions that allow addressing reality better.
Chapter 3 “Development of Unit Process Datasets”shows that developing unit processes of high quality and transparency is not a trivial task, but is crucial for high-quality LCA studies.
Chapter 4 “Multi-functionality in Life Cycle Inventory Analysis: Approaches and Solutions” describes how multi-functional processes can be identified.
In Chapter 5 “Data Quality in Life Cycle Inventories”, the quality of data gathered and used in LCI analysis is discussed. State-of-the-art indicators to assess data quality in LCA are described and the fitness for purpose concept is introduced.
Chapter 6 “Life Cycle Inventory Data and Databases“ follows up on the topic of LCI data and provides a state-of-the-art description of LCI databases. It describes differences between foreground and background data, recommendations for starting a database, data exchange and quality assurance concepts for databases, as well as the scientific basis of LCI databases.
Chapter 7 “Algorithms of Life Cycle Inventory Analysis“ provides the mathematical models underpinning the LCI. Since Heijungs and Suh (2002), this is the first time that this aspect of LCA has been fundamentally presented.
In Chapter 8 “Inventory Indicators in Life Cycle Assessment”, the use of LCI data to create aggregated environmental and resource indicators is described. Such indicators include the cumulative energy demand and various water use indicators.Chapter 9 “The Link Between Life Cycle Inventory Analysis and Life Cycle Impact Assessment” uses four examples to discuss the link between LCI analysis and LCIA. A clear and relevant link between these phases is crucial.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Chemie Analytische Chemie Umweltchemie, Lebensmittelchemie
- Rechtswissenschaften Bürgerliches Recht
- Geowissenschaften Umweltwissenschaften Umweltüberwachung, Umweltanalytik, Umweltinformatik
- Geowissenschaften Umweltwissenschaften Umweltwissenschaften
- Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
Weitere Infos & Material
Life Cycle Inventory Analysis – LCI
Editors: Andreas Ciroth, Germany and Rickard Arvidsson, Sweden
1 Introduction to "Life Cycle Inventory Analysis
Rickard Arvidsson and Andreas Ciroth
2 Principles of Life Cycle Inventory Modeling: The Basic Model, Extensions and Conventions
Andreas Ciroth, Francesca Recanati and Rickard Arvidsson
3Development of Unit Process Datasets
Xiaojin Zhang, Hongtao Wang and Karin Treyer
4 Multi-functionality in Life Cycle Inventory Analysis: Approaches and Solutions
Jeroen Guinée, Reinout Heijungs and Rolf Frischknecht
5 Data Quality in Life Cycle Inventories
Andreas Ciroth
6 Life Cycle Inventory Data and Databases
Andreas Ciroth and Salwa Burhan
7 Algorithms of Life Cycle Inventory Analysis
Michael Srocka and Flavio
8 Inventory Indicators in Life Cycle Assessment
Rickard Arvidsson
9 The Link Between Life Cycle Inventory Analysis and Life Cycle Impact Assessment
Jutta Hildenbrandand Rickard Arvidsson
10 Conclusions : The Editors




