Macroanalysis of the economic and environmental impacts of a 2005–2025 European Union bioenergy policy using the GTAP model and life cycle assessment

Dandres, Thomas; Gaudreault, Caroline; Tirado-Seco, Pablo; Samson, Réjean

doi:10.1016/j.rser.2011.11.003

Cited by 70 publications

(47 citation statements)

References 67 publications

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“…) to estimate the economic and environmental consequences of increasing production of wood‐based ethanol. Dandres and colleagues () combined the Global Trade Analysis Project (GTAP) global computable general equilibrium (CGE) model (Hertel ) with ecoinvent (Frischknecht et al. ) data to examine the environmental effects of European bioenergy policy.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Climate Effects of Biofuels Using Integrated Assessment Models, Part I: Methodological Considerations

Plevin

2016

J of Industrial Ecology

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Summary Estimates of the climate‐change mitigation benefits of biofuels are varied and controversial. Some analysts rely on attributional life cycle assessment (ALCA), limiting the analytic scope to the direct supply chain, whereas others supplement an ALCA result with an estimate of land‐use change (LUC) emissions intensity. Other analysts have used consequential life cycle assessment (CLCA), with methods ranging from static market assessments to identify the likely marginal product and supplier, to running partial and general equilibrium models to estimate changes in global production and consumption. In this article, we consider another alternative—using an integrated assessment model (IAM) as a platform for CLCA of biofuels. In this article (part I of II), we focus on the methodological challenges of this approach. In part II, we present a case study using one IAM—the global change assessment model (GCAM)—to estimate the climate effects of several biofuels.

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Section: Introductionmentioning

confidence: 99%

Assessing the Climate Effects of Biofuels Using Integrated Assessment Models, Part I: Methodological Considerations

Plevin

2016

J of Industrial Ecology

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“…Dandres et al [45] to assess global environmental implications of policy implementation in the EU energy sector. Münster et al [49] discuss two cases of LCA application for future scenarios assessment -assessing policies related to waste management using attributional LCA [65], and scenarios for technological development of renewable energies using consequential LCA [49].…”

Section: Life Cycle Assessmentmentioning

confidence: 99%

Methods for assessing future scenarios from a sustainability perspective

et al. 2017

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Future scenarios are often used to address long-term challenges characterised by uncertainty and complexity, as they can help explore different alternative future pathways. Scenarios can therefore be a useful tool to support policy and guide action towards sustainability. But what sustainability aspects are put forward in scenarios and how are they assessed? This paper aims to explore how to assess future scenarios, categorised according to Börjeson et al. (Futures 38:723-739, 2006) i.e. predictive, explorative and normative scenarios. By conducting a literature review and a document analysis, we map tools and methods that are currently used to assess environmental and social sustainability aspects in scenarios. We also draw on experiences from methods for impact assessments of Swedish municipal comprehensive plans, which can be considered as future scenarios. We identify whether some sustainability aspects are less recurrent than others in the reviewed assessments or even left out. We find that there is no single tool that can be used to assess scenarios. Some quantitative tools based on databases may be more suitable for assessing scenarios within a shorter time horizon, whereas qualitative assessment methods might better fit the purpose of long-term transformative scenarios. We also find that assessment frameworks may be useful to guide the assessment, as to what its intended purpose is and which sustainability aspects to include. Finally we discuss whether further assessment tools are needed in order to include a wider array of potential environmental or social consequences of the content of scenarios.

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“…), CGE models combined with LCA inventories (Dandres et al. , ), hybrid LCA (de Haes et al. ; Suh ; Strømman ), mixed unit IOA (Hawkins et al.…”

Section: Scientific Contextmentioning

confidence: 99%

Toward a Practical Ontology for Socioeconomic Metabolism

Pauliuk¹,

Majeau‐Bettez²,

Müller³

et al. 2015

J of Industrial Ecology

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Summary The complexity of data and methods in industrial ecology (IE) keeps growing, and the demand for comprehensive and interdisciplinary assessments increases. To keep up with this development, the field needs a data infrastructure that allows researchers to annotate, store, retrieve, combine, and exchange data at low cost, without loss of information, and across disciplines and model frameworks. A consensus‐building debate about how to describe the common object of study, socioeconomic metabolism (SEM), is necessary for the development of practical data structures and databases. We review the definitions of basic concepts to describe SEM in IE and related fields such as integrated assessment modeling. We find that many definitions are not compatible, are implicit, and are sometimes lacking. To resolve the conflicts and inconsistencies within the current definitions, we propose a hierarchical system of terms and definitions, a practical ontology, for describing objects, their properties, and events in SEM. We propose a typology of object properties and use sets to group objects into a hierarchical, mutually exclusive, and collectively exhaustive (H‐MECE) classification. This grouping leads to a general definition of stocks. We show that a MECE representation of events necessarily requires two complementary concepts: processes and flows, for which we propose general definitions based on sets. Using these definitions, we show that the system structure of any interdisciplinary model of SEM can be formulated as a directed graph. We propose guidelines for semantic data annotation and database design, which can help to turn the vision of a powerful data infrastructure for SEM research into reality.

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Macroanalysis of the economic and environmental impacts of a 2005–2025 European Union bioenergy policy using the GTAP model and life cycle assessment

Cited by 70 publications

References 67 publications

Assessing the Climate Effects of Biofuels Using Integrated Assessment Models, Part I: Methodological Considerations

Assessing the Climate Effects of Biofuels Using Integrated Assessment Models, Part I: Methodological Considerations

Methods for assessing future scenarios from a sustainability perspective

Toward a Practical Ontology for Socioeconomic Metabolism

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