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Life Cycle Inventory Analysis

Life Cycle Inventory Analysis
Author: Andreas Ciroth
Publisher: Springer Nature
Total Pages: 216
Release: 2021-08-30
Genre: Science
ISBN: 3030622703

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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.


Life Cycle Inventory Analysis

Life Cycle Inventory Analysis
Author: Andreas Ciroth
Publisher: Springer
Total Pages: 0
Release: 2022-09-01
Genre: Science
ISBN: 9783030622725

Download Life Cycle Inventory Analysis Book in PDF, ePub and Kindle

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.


Learning Tactics Inventory: Participant Survey and Workbook

Learning Tactics Inventory: Participant Survey and Workbook
Author: Maxine Dalton
Publisher: Center for Creative Leadership
Total Pages: 28
Release: 2016-10-17
Genre: Business & Economics
ISBN: 160491713X

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You’ll use this tool to discover how you learn and how you can adopt new learning strategies. The Participant Survey and Workbook enables you to score your inventory, interpret the results, and apply your discoveries on the job. With the help of a world-renowned leadership authority, you’ll draw more out of your professional experiences than ever before!


New Directions in Interpreting the Millon Clinical Multiaxial Inventory-III (MCMI-III)

New Directions in Interpreting the Millon Clinical Multiaxial Inventory-III (MCMI-III)
Author: Robert J. Craig
Publisher: John Wiley & Sons
Total Pages: 434
Release: 2005-05-13
Genre: Psychology
ISBN: 0471727210

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New Directions in Interpreting the Millon Clinical Multiaxial Inventory, edited by a leading MCMI researcher and featuring contributions from internationally renowned scholars in personality assessment, presents new methods of interpretation and new clinical applications for this classic objective measure of personality. This dynamic new handbook discusses issues related to the effect of culture on MCMI-III results and controversies regarding its forensic applications, and presents research related to the MCMI-III's diagnostic power with regard to diagnosis and malingering.