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Review of life-cycle approaches coupled with data envelopment analysis: launching the CFP + DEA method for energy policy making.

Vázquez-Rowe I, Iribarren D - ScientificWorldJournal (2015)

Bottom Line: Life-cycle (LC) approaches play a significant role in energy policy making to determine the environmental impacts associated with the choice of energy source.Thus, the CFP + DEA method is proposed, a five-step structure including data collection for multiple homogenous entities, calculation of target operating points, evaluation of current and target carbon footprints, and result interpretation.Moreover, the CFP + DEA method benefits from CFP specifications in terms of flexibility, understanding, and reporting.

View Article: PubMed Central - PubMed

Affiliation: Public Research Centre Henri Tudor (CRPHT)/Resource Centre for Environmental Technologies (CRTE), 6A Avenue des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg ; Peruvian LCA Network, Faculty Department of Engineering, Pontificia Universidad Católica del Perú, 1801 Avenida Universitaria, San Miguel, Lima 32, Peru ; Department of Chemical Engineering, University of Santiago de Compostela, Rúa Lope Gómez de Marzoa s/n, 15782 Santiago de Compostela, Spain.

ABSTRACT
Life-cycle (LC) approaches play a significant role in energy policy making to determine the environmental impacts associated with the choice of energy source. Data envelopment analysis (DEA) can be combined with LC approaches to provide quantitative benchmarks that orientate the performance of energy systems towards environmental sustainability, with different implications depending on the selected LC + DEA method. The present paper examines currently available LC + DEA methods and develops a novel method combining carbon footprinting (CFP) and DEA. Thus, the CFP + DEA method is proposed, a five-step structure including data collection for multiple homogenous entities, calculation of target operating points, evaluation of current and target carbon footprints, and result interpretation. As the current context for energy policy implies an anthropocentric perspective with focus on the global warming impact of energy systems, the CFP + DEA method is foreseen to be the most consistent LC + DEA approach to provide benchmarks for energy policy making. The fact that this method relies on the definition of operating points with optimised resource intensity helps to moderate the concerns about the omission of other environmental impacts. Moreover, the CFP + DEA method benefits from CFP specifications in terms of flexibility, understanding, and reporting.

No MeSH data available.


LC + DEA methods currently available (CED: cumulative energy demand; CExD: cumulative exergy demand; DEA: data envelopment analysis; Em: emergy; LCA: life cycle assessment; LCI: life cycle inventory; LCIA: life cycle impact assessment).
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Related In: Results  -  Collection


getmorefigures.php?uid=PMC4306368&req=5

fig1: LC + DEA methods currently available (CED: cumulative energy demand; CExD: cumulative exergy demand; DEA: data envelopment analysis; Em: emergy; LCA: life cycle assessment; LCI: life cycle inventory; LCIA: life cycle impact assessment).

Mentions: Current LC + DEA methods for the benchmarking of multiple DMUs can be divided into two main blocks: those that are inspired on the direct monitoring of environmental benchmarks and those that assess these benchmarks through the computation of energy methods. In other words, the former focus on the benchmarking of environmental indicators, while the latter provide benchmarks expressed in energy terms. Figure 1 shows the key methodological steps of the available methods.


Review of life-cycle approaches coupled with data envelopment analysis: launching the CFP + DEA method for energy policy making.

Vázquez-Rowe I, Iribarren D - ScientificWorldJournal (2015)

LC + DEA methods currently available (CED: cumulative energy demand; CExD: cumulative exergy demand; DEA: data envelopment analysis; Em: emergy; LCA: life cycle assessment; LCI: life cycle inventory; LCIA: life cycle impact assessment).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4306368&req=5

fig1: LC + DEA methods currently available (CED: cumulative energy demand; CExD: cumulative exergy demand; DEA: data envelopment analysis; Em: emergy; LCA: life cycle assessment; LCI: life cycle inventory; LCIA: life cycle impact assessment).
Mentions: Current LC + DEA methods for the benchmarking of multiple DMUs can be divided into two main blocks: those that are inspired on the direct monitoring of environmental benchmarks and those that assess these benchmarks through the computation of energy methods. In other words, the former focus on the benchmarking of environmental indicators, while the latter provide benchmarks expressed in energy terms. Figure 1 shows the key methodological steps of the available methods.

Bottom Line: Life-cycle (LC) approaches play a significant role in energy policy making to determine the environmental impacts associated with the choice of energy source.Thus, the CFP + DEA method is proposed, a five-step structure including data collection for multiple homogenous entities, calculation of target operating points, evaluation of current and target carbon footprints, and result interpretation.Moreover, the CFP + DEA method benefits from CFP specifications in terms of flexibility, understanding, and reporting.

View Article: PubMed Central - PubMed

Affiliation: Public Research Centre Henri Tudor (CRPHT)/Resource Centre for Environmental Technologies (CRTE), 6A Avenue des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg ; Peruvian LCA Network, Faculty Department of Engineering, Pontificia Universidad Católica del Perú, 1801 Avenida Universitaria, San Miguel, Lima 32, Peru ; Department of Chemical Engineering, University of Santiago de Compostela, Rúa Lope Gómez de Marzoa s/n, 15782 Santiago de Compostela, Spain.

ABSTRACT
Life-cycle (LC) approaches play a significant role in energy policy making to determine the environmental impacts associated with the choice of energy source. Data envelopment analysis (DEA) can be combined with LC approaches to provide quantitative benchmarks that orientate the performance of energy systems towards environmental sustainability, with different implications depending on the selected LC + DEA method. The present paper examines currently available LC + DEA methods and develops a novel method combining carbon footprinting (CFP) and DEA. Thus, the CFP + DEA method is proposed, a five-step structure including data collection for multiple homogenous entities, calculation of target operating points, evaluation of current and target carbon footprints, and result interpretation. As the current context for energy policy implies an anthropocentric perspective with focus on the global warming impact of energy systems, the CFP + DEA method is foreseen to be the most consistent LC + DEA approach to provide benchmarks for energy policy making. The fact that this method relies on the definition of operating points with optimised resource intensity helps to moderate the concerns about the omission of other environmental impacts. Moreover, the CFP + DEA method benefits from CFP specifications in terms of flexibility, understanding, and reporting.

No MeSH data available.