Ciroth Andreas (41 results)

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Condition: New. This book clarifies a number of methodological issues in Life Cycle Inventory modelling, as part of LCA. Some of these issues have been on the agenda for a long time, without coming to generally accepted solutions, and often not even to agreement on altern.

Taschenbuch. Condition: Sehr gut. Gebraucht - Sehr gut sg - ungelesenes mängelexemplar, gestempelt, mit leichten lagerspuren - This book clarifies a number of methodological issues in Life Cycle Inventory modelling, as part of LCA. Some of these issues have been on the agenda for a long time, without coming togenerally accepted solutions, and often not even to agreement on alternative approaches. Several of these subjects relate to the specific nature of LCA as a relatively simple method for decision support, focusing on technology relations in the life cycle. By this focus, it is simple enough to be operable by `small` users, but at the cost of leaving out many mechanism which are operant in reality. The report before you has three main chapters: Chapter 1 gives a survey of issues in LCA which need further elaboration, and indicates priorities. Chapter 2 is about current LCA and how it may advance in terms of a number of methods issues: Multifunctionality; prospective and descriptive analysis in LCA; and data quality,uncertainty and validation. Chapter 3 is about how sustainabilityanalysis might advance, not within the current limitations of ISOLCA. This chapter may function as a framework for improving sustainability analysis: as broadened and deepened LCA, as `New LCA` or `beyond LCA`. …

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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Taschenbuch. Condition: Neu. Life Cycle Inventory Analysis | Methods and Data | Andreas Ciroth (u. a.) | Taschenbuch | LCA Compendium - The Complete World of Life Cycle Assessment | xi | Englisch | 2022 | Springer | EAN 9783030622725 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

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