Assessing non-marginal variations with consequential LCA: Application to European energy sector

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

doi:10.1016/j.rser.2011.04.004

Cited by 72 publications

(69 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, in the last decade consequential life cycle assessment (C-LCA) has developed as a more comprehensive approach in which the consequences of a variation that affect the initial system are analyzed (Schmidt and Weidema 2008). In fact, in many cases the predicted future change scenarios are computed through a selection of economic models (Dandres et al 2012). While this particular study has only assessed the energy inputs of industrial fleets from an attributional perspective, the analysis would gain in comprehensiveness if C-LCA were implemented, in order to detect the marginal consequences of fisheries management decisions.…”

Section: Comparison Between the Assessed Fishing Fleetsmentioning

confidence: 99%

Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Vázquez‐Rowe

Villanueva-Rey

Moreira

et al. 2013

AMBIO

View full text Add to dashboard Cite

Life cycle assessment (LCA) has developed into a useful methodology to assess energy consumption of fishing fleets and their derived seafood products, as well as the associated environmental burdens. In this study, however, the life cycle inventory data is used to provide a dimensionless ratio between energy inputs and the energy provided by the fish: the edible protein energy return on investment (ep-EROI). The main objective was to perform a critical comparison of seafood products landed in Galicia (NW Spain) in terms of ep-EROI. The combination of energy return on investment (EROI) with LCA, the latter having standardized mechanisms regarding data acquisition and system boundary delimitation, allowed a reduction of uncertainties in EROI estimations. Results allow a deeper understanding of the energy efficiency in the Galician fishing sector, showing that small pelagic species present the highest ep-EROI values if captured using specific fishing techniques. Finally, results are expected to provide useful guidelines for policy support in the EU's Common Fisheries Policy.

show abstract

Section: Comparison Between the Assessed Fishing Fleetsmentioning

confidence: 99%

Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Vázquez‐Rowe

Villanueva-Rey

Moreira

et al. 2013

AMBIO

View full text Add to dashboard Cite

show abstract

“…Despite the literature offers numerous examples of combined tools, techniques, applications and developments in the field of environmental impact analysis with CGE and PE models (Dandres et al, 2011;Koskela et al, 2007;Brown et al, 2013;Dale et al, 2013), impact categories or issues considered have been usually limited (e.g. assessment of GHG emissions, land use, water use) and economic equilibrium models (CGE and PE) have only been used separately for consequential LCA , Vázquez-Rowe et al, 2013.…”

Section: Pertinence Of the Methodologymentioning

confidence: 99%

“…As already proposed by Dandres et al (2011), CGE modelling can be used in consequential LCA to assess the environmental impacts of energy policies at large scale. However, Dandres et al mapped a CGE model (GTAP) with process-data, after conversion of monetary values to mass units.…”

Section: Pertinence Of the Methodologymentioning

confidence: 99%

“…Furthermore, the granularity of the LCA system boundary is usually limited, as process-LCA can fail in providing consistent evaluations of the environmental consequences to other economic sectors beyond energy. To cope with this inventory truncation problem, Dandres et al (2011) discussed on the potential benefits of linking Partial Equilibrium (PE) or Computable General Equilibrium (CGE) models to LCA and eventually combining them. They argued that such a link with LCA can improve the accuracy of inventory for specific evolving technologies in LCA, while enhancing the methodology to conduct consequential assessments of energy policies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Combination of Equilibrium Models and Hybrid Life Cycle Input-Output Analysis to Predict the Environmental Impacts of Energy Policy Scenarios

et al. 2015

View full text Add to dashboard Cite

Nowadays, many countries adopt an active agenda to mitigate the impact of greenhouse gas emissions by moving towards less polluting energy generation technologies. The environmental costs, directly or indirectly generated to achieve such a challenging objective, remain however largely underexplored. Until now, research has focused either on pure economic approaches such as computable general equilibrium (CGE) and partial equilibrium (PE) models, or on (physical) energy supply scenarios. These latter could be used to evaluate the environmental impacts of various energy saving or cleaner technologies via life cycle assessment (LCA) methodology. These modelling efforts have, however, been pursued in isolation, without exploring the possible complementarities and synergies. In this study, we have undertaken a practical combination of these approaches into a common framework: on the one hand, by coupling a CGE with a PE model, and, on the other hand, by linking the outcomes from the coupling with a hybrid inputoutput−process based life cycle inventory. The methodological framework aimed at assessing the environmental consequences of two energy policy scenarios in Luxembourg between 2010 and 2025. The study highlights the potential of coupling CGE and PE models but also the related methodological difficulties (e.g. small number of available technologies in Luxembourg, intrinsic limitations of the two approaches, etc.). The assessment shows both environmental synergies and trade-offs due to the implementation of energy policies. For example, despite the changes in technologies towards the reduction of greenhouse gas emissions, only marginal improvements are observed in the climate change mitigation scenario as compared to the business-as-usual. The energy related production and imports are indeed expected to increase over time and represent a large contribution to the country's impacts. Interestingly, side effects on other impacts than climate change or fossil resource depletion (e.g. ionising radiation and water depletion) may also occur mainly due to the use of nuclear energy in neighbouring countries.

show abstract

“…Este enfoque tiene en cuenta los cambios en el mercado derivados de la demanda de una unidad funcional del producto modelado, por lo tanto, es útil para evaluar el impacto de las decisiones en un contexto o mercado determinado. Por ejemplo, se puede aplicar para evaluar el impacto y consecuencias de nuevas estrategias o sistemas a gran escala, como ocurre con las políticas energéticas (Dandres et al 2011). También es aconsejable para elegir entre dos productos diferentes o promover una tecnología en lugar de otras.…”

Section: Enfoques Consecuencial Y Atribucionalunclassified

Análisis de sostenibilidad del ciclo de vida de una configuración innovadora de tecnología termosolar

Bellostas¹

View full text Add to dashboard Cite

Assessing non-marginal variations with consequential LCA: Application to European energy sector

Cited by 72 publications

References 36 publications

Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Edible Protein Energy Return on Investment Ratio (ep-EROI) for Spanish Seafood Products

Combination of Equilibrium Models and Hybrid Life Cycle Input-Output Analysis to Predict the Environmental Impacts of Energy Policy Scenarios

Análisis de sostenibilidad del ciclo de vida de una configuración innovadora de tecnología termosolar

Contact Info

Product

Resources

About