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Author

Tomas Ekvall

Other affiliations: Royal Institute of Technology
Bio: Tomas Ekvall is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Life-cycle assessment & Incineration. The author has an hindex of 36, co-authored 95 publications receiving 11496 citations. Previous affiliations of Tomas Ekvall include Royal Institute of Technology.


Papers
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Journal ArticleDOI
TL;DR: A review of recent developments of LCA methods, focusing on some areas where there has been an intense methodological development during the last years, and some of the emerging issues.

2,683 citations

Journal ArticleDOI
TL;DR: The LCA framework and procedure is introduced, how to define and model a product's life cycle is outlined, and an overview of available methods and tools for tabulating and compiling associated emissions and resource consumption data in a life cycle inventory (LCI) is provided.

2,357 citations

Journal ArticleDOI
TL;DR: LCA is evolving into LCSA, which is a transdisciplinary integration framework of models rather than a model in itself, which works with a plethora of disciplinary models and guides selecting the proper ones, given a specific sustainability question.
Abstract: Environmental life cycle assessment (LCA) has developed fast over the last three decades. Whereas LCA developed from merely energy analysis to a comprehensive environmental burden analysis in the 1970s, full-fledged life cycle impact assessment and life cycle costing models were introduced in the 1980s and 1990s, and social-LCA and particularly consequential LCA gained ground in the first decade of the 21st century. Many of the more recent developments were initiated to broaden traditional environmental LCA to a more comprehensive Life Cycle Sustainability Analysis (LCSA). Recently, a framework for LCSA was suggested linking life cycle sustainability questions to knowledge needed for addressing them, identifying available knowledge and related models, knowledge gaps, and defining research programs to fill these gaps. LCA is evolving into LCSA, which is a transdisciplinary integration framework of models rather than a model in itself. LCSA works with a plethora of disciplinary models and guides selecting t...

1,186 citations

Journal ArticleDOI
01 Sep 2006-Futures
TL;DR: The applicability of various generating, integrating and consistency techniques for developing scenarios that provide the required knowledge in order to develop and use scenarios is discussed.

1,114 citations

Journal ArticleDOI
TL;DR: In this paper, a comprehensive presentation of the consequential approach to system boundaries, allocation and data selection is presented, based on a text produced within the SETAC-Europe working group on scenarios in consequential life cycle assessment (LCA).
Abstract: A consequential life cycle assessment (LCA) is designed to generate information on the consequences of decisions. This paper includes a comprehensive presentation of the consequential approach to system boundaries, allocation and data selection. It is based on a text produced within the SETAC-Europe working group on scenarios in LCA. For most of the methodological problems, we describe ideal methodological solutions as well as simplifications intended to make the method feasible in practice. We compile, summarize and refine descriptions of consequential methodology elements that have been presented in separate papers, in addition to methodological elements and general conclusions that have not previously been published. A consequential LCA ideally includes activities within and outside the life cycle that are affected by a change within the life cycle of the product under investigation. In many cases this implies the use of marginal data and that allocation is typically avoided through system expansion. The model resulting from a consequential life cycle inventory (LCI) also includes the alternative use of constrained production factors as well as the marginal supply and demand on affected markets. As a result, the consequential LCI model does not resemble the traditional LCI model, where the main material flows are described from raw material extraction to waste management. Instead, it is a model of causal relationships originating at the decision at hand or the decision-maker that the LCI is intended to inform.

707 citations


Cited by
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Posted Content
TL;DR: Deming's theory of management based on the 14 Points for Management is described in Out of the Crisis, originally published in 1982 as mentioned in this paper, where he explains the principles of management transformation and how to apply them.
Abstract: According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

9,241 citations

Journal Article
TL;DR: This research examines the interaction between demand and socioeconomic attributes through Mixed Logit models and the state of art in the field of automatic transport systems in the CityMobil project.
Abstract: 2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

4,784 citations

Journal ArticleDOI
TL;DR: With version 3, the ecoinvent database substantially expands the goals and scopes of LCA studies it can support, and the new system models allow new, different studies to be performed.
Abstract: Purpose Good background data are an important requirement in LCA. Practitioners generally make use of LCI databases for such data, and the ecoinvent database is the largest transparent unit-process LCI database worldwide. Since its first release in 2003, it has been continuously updated, and version 3 was published in 2013. The release of version 3 introduced several significant methodological and technological improvements, besides a large number of new and updated datasets. The aim was to expand the content of the database, set the foundation for a truly global database, support regionalized LCIA, offer multiple system models, allow for easier integration of data from different regions, and reduce maintenance efforts. This article describes the methodological developments.

2,696 citations

Journal ArticleDOI
TL;DR: A review of recent developments of LCA methods, focusing on some areas where there has been an intense methodological development during the last years, and some of the emerging issues.

2,683 citations

Journal ArticleDOI
TL;DR: The LCA framework and procedure is introduced, how to define and model a product's life cycle is outlined, and an overview of available methods and tools for tabulating and compiling associated emissions and resource consumption data in a life cycle inventory (LCI) is provided.

2,357 citations