Abstract
Assessment of environmental impact is one of the crucial steps in life-cycle assessment (LCA). Current LCA tools typically compute an overall environmental score using a linear-weighted aggregation of normalized inventory data relating to relative performance in impact categories such as global warming, stratospheric ozone depletion, or eutrophication. However, uncertainty associated with quantification of weights is, in general, very high. Moreover, where multiple stakeholder groups are engaged in a particular problem, there may be several different sets of weights that result in disparate scores or ranking. In some cases, the final results may seem entirely dependent upon the relative importance of weights and/or level of data uncertainty. Therefore, we propose to couple life-cycle impact assessment tools with stochastic multiattribute acceptability analysis (SMAA), which is a multicriteria decision analysis (MCDA) technique for exploring uncertain weight spaces. This paper briefly reviews the current state of the art for impact assessment in LCA and compares results using the U.S. Environmental Protection Agency’s TRACI model with the SMAA approach for transportation energy alternatives with uncertain preference information. In both cases, life-cycle inventories are compiled from Argonne National Labs’ GREET model. In the typical life-cycle impact assessment (LCIA), case results are based on the total environmental score, allowing dissimilar impacts to be added together, which correlates rank to the highest normalized impact. However, the SMAA approach balances the criteria more evenly, resulting in a different preference ordering. The difference between the two methods is partly due to stochastic versus point representation of weights. Data normalization, which converts incommensurate impact units to dimensionless quantities for the purpose of aggregation, greatly influences the results.
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References
Guinee, J. B. (Ed.), 2002. Handbook on Life Cycle Assessment: Operational Guide to the ISO Standards. Kluwer, Dordrecht, Boston, MA/London.
Lo, S.-C., Ma, H.-W., and Lo, S.-L., 2005. Quantifying and Reducing Uncertainty in Life Cycle Assessment Using Bayesian Monte Carlo Method. Science of the Total Environment 340:23–33.
Lloyd, S. M., and Ries, R., 2007. Characterizing, Propagating, and Analyzing Uncertainty in Life-Cycle Assessment. Journal of Industrial Ecology 11:161–179.
Goedkoop, M., De Schryver, A., and Oele, M., 2007. Introduction to LCA with SimaPro 7. PRé Consultants, The Netherlands.
Steen, B. A., 2006. Describing Values in Relation to Choices in LCA. International journal of Life Cycle Assessment 11:277–283.
Miettinen, P., and Hamalainen, R. P., 1997. How to Benefit from Decision Analysis in Environmental Life Cycle Assessment (LCA). European Journal of Operational Research 102:279–294.
Simpson, L., 1996. Do Decision Makers Know What They Prefer? MAVT and ELECTRE II. Journal of the Operational Research Society 47:919–929.
Seppala, J., Basson, L., and Norris, G., 2002. Decision Analysis Frameworks for Life-Cycle Impact Assessment. Journal of Industrial Ecology 5:45–68.
Seppala, J., and Hamalainen, R. P., 2001. On the Meaning of Distance-to-Target Weighting Method and Normalization in Life Cycle Impact Assessment. International Journal of Life Cycle Assessment 6:211–218.
Noh, J., and Lee, K. M., 2003. Application of Multiattribute Decision-Making Methods for the Determination of Relative Significance Factor of Impact Categories. Environmental Management 31:633–641.
Daniel, S. E., Tsoulfas, G. T., Pappis, C. P., and Rachaniotis, N. P., 2004. Aggregating and Evaluating the Results of Different Environmental Impact Assessment Methods. Ecological Indicators 4:125–138.
Pineda-Henson, R., Culaba, A. B., and Mendoza, G. A., Evaluating Environmental Performance of Pulp and Paper Manufacturing Using the Analytic Hierarchy Process. Journal of Industrial Ecology 6:15–28.
Figueira, J., Mousseau, V., and Roy, B., 2005. ELECTRE Methods. In Figueira, J., Greco, S., and Ehrogott, M. (Eds.). Multiple Criteria Decision Analysis: State of the Art Surveys, vol. 78, pp. 133–153. Springer, New York.
Bare, J. C., Norris, G. A., Pennington, D. W., and McKone, T., 2003. TRACI: The Tool for the Reduction and Assessment of Chemical and Other Environmental Impacts. Journal of Industrial Ecology 6:49–78.
Tervonen, T., and Lahdelma, R., 2007. Implementing Stochastic Multicriteria Acceptability Analysis. European Journal of Operational Research 178:500–513.
Lahdelma, R., Hokkanen, J., and Salminen, P., 1998. SMAA: Stochastic Multiobjective Acceptability Analysis. European Journal of Operational Research 106:137–143.
Lahdelma, R., and Salminen, P., 2001. SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making. Operations Research 49:444–454.
Wang, M., 2007. GREET: Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation, 1.7 ed. Argonne National Laboratory, Argonne, IL.
Norris, G. A., 2003. Impact Characterization in the Tool for the Reduction and Assessment of Chemical and Other Environmental Impacts. Journal of Industrial Ecology 6:79–101.
Crystal Ball 5.5, 2005. Decisioneering Inc., Littleton, CO.
Bare, J. C., Gloria, T., and Norris, G. A., 2006. Development of the Method and U.S. Normalization Database for Life Cycle Impact Assessment and Sustainability Metrics. Environmental Science and Technology 40:5108–5115.
Tervonen, T., 2007. CSMAA 1.0.
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Rogers, K., Seager, T., Linkov, I. (2008). Multicriteria Decision Analysis and Life Cycle Assessment. In: Linkov, I., Ferguson, E., Magar, V.S. (eds) Real-Time and Deliberative Decision Making. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9026-4_19
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DOI: https://doi.org/10.1007/978-1-4020-9026-4_19
Publisher Name: Springer, Dordrecht
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