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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.


Decision flowchart to select the most appropriate LC + DEA method for policy making according to current methodological options (including the CFP + DEA method).
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Related In: Results  -  Collection


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fig3: Decision flowchart to select the most appropriate LC + DEA method for policy making according to current methodological options (including the CFP + DEA method).

Mentions: All the LC + DEA methods mentioned in this paper allow benchmarking and have the potential of being used for policy making. However, each method involves different benchmarking perspectives and/or focuses on different indicators as benchmarking criteria. A decision flowchart to facilitate the appropriate selection of a specific LC + DEA method for policy making is proposed in Figure 3. In addition to currently available LC + DEA methods (i.e., five- and three-step LCA + DEA methods and three-step CED + DEA, CExD + DEA, and Em + DEA methods), the five-step CFP + DEA method is also taken into account.


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)

Decision flowchart to select the most appropriate LC + DEA method for policy making according to current methodological options (including the CFP + DEA method).
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig3: Decision flowchart to select the most appropriate LC + DEA method for policy making according to current methodological options (including the CFP + DEA method).
Mentions: All the LC + DEA methods mentioned in this paper allow benchmarking and have the potential of being used for policy making. However, each method involves different benchmarking perspectives and/or focuses on different indicators as benchmarking criteria. A decision flowchart to facilitate the appropriate selection of a specific LC + DEA method for policy making is proposed in Figure 3. In addition to currently available LC + DEA methods (i.e., five- and three-step LCA + DEA methods and three-step CED + DEA, CExD + DEA, and Em + DEA methods), the five-step CFP + DEA method is also taken into account.

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.