How to address data gaps in life cycle inventories: A case study on estimating CO2 emissions from coal-fired electricity plants on a global scale

Environmental Science and Technology

Volumn 48, Issue 9, 2014, Pages 5282-5289

  Steinmann, Zoran J N ^a   Venkatesh, Aranya ^b   Hauck, Mara ^a   Schipper, Aafke M ^a   Karuppiah, Ramkumar ^b   Laurenzi, Ian J ^b   Huijbregts, Mark A J ^a  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b EXXONMOBIL UPSTREAM RESEARCH COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON DIOXIDE; COAL; ELECTRIC POWER GENERATION; LIFE CYCLE; LINEAR REGRESSION; STEAM POWER PLANTS;

COAL POWER PLANTS; COAL-FIRED ELECTRICITY; COAL-FIRED POWER GENERATION; GROSS DOMESTIC PRODUCTS; LIFE CYCLE ASSESSMENT (LCA); LIFE CYCLE INVENTORY; LOCAL LINEAR REGRESSION; MULTIPLE LINEAR REGRESSION MODELS;

FOSSIL FUEL POWER PLANTS;

CARBON DIOXIDE;

CARBON DIOXIDE; CARBON EMISSION; COAL-FIRED POWER PLANT; EMISSION INVENTORY; GLOBAL PERSPECTIVE; LIFE CYCLE ANALYSIS;

ARTICLE; CARBON FOOTPRINT; CASE STUDY; COAL POWER; COMBUSTION; CONTROLLED STUDY; DATA BASE; ELECTRIC POWER PLANT; GROSS NATIONAL PRODUCT; LIFE CYCLE; LIFE CYCLE ASSESSMENT; PREDICTION;

AIR POLLUTANTS; CARBON DIOXIDE; COAL; ELECTRICITY; MODELS, THEORETICAL; POWER PLANTS; UNCERTAINTY;

EID: 84899842237     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es500757p     Document Type: Article

References (46)

1. International Organization for Standardization (ISO). ISO 14040:2006. Environmental Management-Life Cycle Assessment-Principles and Framework; ISO: Geneva, Switzerland, 2006.
2. Frischknecht, R., Jungbluth, N., Althaus, H.-J., Doka, G., Dones, R., Heck, T., Hellweg, S., Hischier, R., Nemecek, T., Rebitzer, G., Spielmann, M., and Wernet, G. Overview and Methodology, Ecoinvent Report 1; Swiss Centre for Life Cycle Inventories: Duebendorf, Switzerland, 2007.
3. PE International. GaBi LCA Databases; http://www.gabi-software.com/ international/databases/gabi-databases/.
4. National Renewable Energy Laboratory (NREL). U.S. Life Cycle Inventory Database; http://www.nrel.gov/lci/.
5. Wernet, G.; Hellweg, S.; Fischer, U.; Papadokonstantakis, S.; Hungerbühler, K. Molecular-structure-based models of chemical inventories using neural networks Environ. Sci. Technol. 2008, 42 (17) 6717-6722
6. Caduff, M.; Huijbregts, M. A. J.; Althaus, H. J.; Hendriks, A. J. Power-law relationships for estimating mass, fuel consumption and costs of energy conversion equipments Environ. Sci. Technol. 2010, 45 (2) 751-754
7. Caduff, M.; Huijbregts, M. A. J.; Althaus, H. J.; Koehler, A.; Hellweg, S. Wind power electricity: The bigger the turbine, the greener the electricity? Environ. Sci. Technol. 2012, 46 (9) 4725
8. Venkatesh, A.; Jaramillo, P.; Griffin, W. M.; Matthews, H. S. Uncertainty analysis of life cycle greenhouse gas emissions from petroleum-based fuels and impacts on low carbon fuel policies Environ. Sci. Technol. 2011, 45 (1) 125-131
9. Karras, G. Combustion emissions from refining lower quality oil: What is the global warming potential? Environ. Sci. Technol. 2010, 44 (24) 9584
10. Everitt, B.; Dunn, G. Applied Multivariate Data Analysis; Wiley: Hoboken, NJ, 2001.
11. Schaal, S.; Atkeson, C. G. Robot juggling: Implementation of memory-based learning Control Syst., IEEE 1994, 14 (1) 57-71
12. Hastie, T. J.; Tibshirani, R. J.; Friedman, J. H. The Elements of Statistical Learning: Data Mining, Inference, and Prediction; Springer: New York, 2009.
13. Huijbregts, M. A. J.; Rombouts, L. J. A.; Hellweg, S.; Frischknecht, R.; Hendriks, A. J.; van de Meent, D.; Ragas, A. M. J.; Reijnders, L.; Struijs, J. Is cumulative fossil energy demand a useful indicator for the environmental performance of products? Environ. Sci. Technol. 2006, 40 (3) 641-648
14. Huijbregts, M. A. J.; Hellweg, S.; Frischknecht, R.; Hendriks, H. W. M.; Hungerbühler, K.; Hendriks, A. J. Cumulative energy demand as predictor for the environmental burden of commodity production Environ. Sci. Technol. 2010, 44 (6) 2189-2196
15. Frischknecht, R.; Tuchschmid, M.; Faist Emmeneger, M.; Bauer, C.; Dones, R. Strommix und Stromnetz, Ecoinvent Report 6, Version 2.0; Paul Scherrer Institut Villingen, Swiss Centre for Life Cycle Inventories: Duebendorf, Switzerland, 2007; p 143.
16. Worldcoal Factsheet "Coal in the Global Energy Supply"; http://www.worldcoal.org/bin/pdf/original-pdf-file/coal-matters-1-coal-in-the- global-energy-supply(16-05-2012).pdf (accessed June 30, 2013).
17. Graus, W. H. J.; Voogt, M.; Worrell, E. International comparison of energy efficiency of fossil power generation Energy Policy 2007, 35 (7) 3936-3951
18. Dones, R.; Bauer, C.; Roeder, A. Kohle, Final Report; Paul Scherrer Institute Villingen, Swiss Centre for Life Cycle Inventories: Duebendorf, Switzerland, 2007; p 346.
19. Steinmann, Z.; Hauck, M.; Karuppiah, R.; Laurenzi, I.; Huijbregts, M. A methodology for separating uncertainty and variability in the life cycle greenhouse gas emissions of coal fueled power generation in the United States Int. J. Life Cycle Assess. 2014, 10.1007/s11367-014-0717-2
20. 2 Emissions from the Power Sector; Center for Global Development: Washington, D.C., May 2008; Working Paper 145.
21. Ummel, K. CARMA Revisited: An Updated Database of Carbon Dioxide Emissions from Powerplants Worldwide; Center for Global Development: Washington, D.C., 2012; Working Paper 304.
22. Platts. World Electric Power Plants (WEPP) Database; http://www.platts. com/Products/worldelectricpowerplantsdatabase (accessed May 2012).
23. International Monetary Fund (IMF). World Economic Outlook; http://www.imf.org/external/pubs/ft/weo/2012/01/weodata/download.aspx.
24. R Foundation for Statistical Computing. R Core Team R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2012.
25. Field, A. Discovering Statistics Using SPSS; Sage Publications Limited: Thousand Oaks, CA, 2009.
26. Cleveland, W. S. Robust locally weighted regression and smoothing scatterplots J. Am. Stat. Assoc. 1979, 74 (368) 829-836
27. Kalnins, K.; Ozolins, O.; Jekabsons, G. Metamodels in design of GFRP composite stiffened deck structure. Proceedings of 7th ASMO-UK/ISSMO International Conference on Engineering Design Optimization; Association for Structural and Multidisciplinary Optimization in the UK (ASMO-UK): Bath, U.K., 2008; p 11.
28. Jekabsons, G. Locally Weighted Polynomials for Matlab, 2010; http://www.cs.rtu.lv/jekabsons.
29. Chu, C. K.; Marron, J. S. Choosing a kernel regression estimator Stat. Sci. 1991, 6 (4) 404-419
30. Sigovini, M. Multiscale dynamics of zoobenthic communities and relationships with environmental factors in the Lagoon of Venice. Doctoral dissertation, Università CaFoscari Venezia, Dorsoduro, Italy, 2011; http://dspace.unive.it/handle/10579/1092.
31. Schaal, S.; Atkeson, C. G. Assessing the quality of learned local models Adv. Neural Inf. Process. Syst. 1994, 1-8
32. Aneiros-Pérez, G.; Cao, R.; Vilar-Fernández, J. M. Functional methods for time series prediction: A nonparametric approach J. Forecasting 2010, 30 (4) 377-392
33. Schüürmann, G.; Ebert, R.-U.; Chen, J.; Wang, B.; Kühne, R. External validation and prediction employing the predictive squared correlation coefficient-Test set activity mean vs training set activity mean J. Chem. Inf. Model. 2008, 48 (11) 2140-2145
34. Legates, D. R.; McCabe, G. J., Jr. Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation Water Resour. Res. 1999, 35 (1) 233-241
35. Todeschini, R. Tutorial 5, Useful and Unuseful Summaries of Regression Models; http://www.moleculardescriptors.eu/tutorials/tutorials.htm.
36. Lam, P. L.; Shiu, A. A data envelopment analysis of the efficiency of Chinas thermal power generation Util. Policy 2001, 10 (2) 75-83
37. Littlefield, J.; Bhander, R.; Bennett, B.; Davis, T.; Draucker, L.; Eckard, R.; Ellis, W.; Kauffman, J.; Malone, A.; Munson, R.; Nippert, M.; Ramezan, M.; Bromiley, R. Life Cycle Analysis: Existing Pulverized Coal (EXPC) Power Plant; National Energy Technology Laboratory (NETL): Pittsburgh, PA, 2010; 110809, p 112.
38. U.S. Energy Information Administration (EIA). Form EIA-923 Detailed Data; http://www.eia.gov/electricity/data/eia923/.
39. Central Electric Authority. Baseline Carbon Dioxide Emissions from Power Sector; http://www.cea.nic.in/reports/planning/cdm-co2/cdm-co2.htm (accessed June 2012).
40. Australian Energy Market Operator (AEMO). National Transmission Network Development Plan, Supply Input Spreadsheets; http://www.aemo.com.au/ Consultations/National-Electricity-Market/Closed/∼/media/Files/Other/ planning/0410-0029%20zip.ashx (accessed June 2012).
41. Eskom. CDM Calculations; http://www.eskom.co.za/c/article/236/cdm- calculations/ (accessed June 2012).
42. CLP Group. Facility Performance Statistics for Fangchenggang and Castle Peak; https://www.clpgroup.com/ourvalues/report/Pages/sustainabilityreport.aspx (accessed June 2012).
43. Ontario Power Generation. Sustainable Development Report 2010; Ontario Power Generation: Toronto, Ontario, Canada, 2011.
44. Enel. Sustainability Report 2010; http://www.enel.com/en-GB/doc/ report2010/Sustainability-report-2010-30-06-2011.pdf (accessed June 2012).
45. Kavouridis, K. Lignite industry in Greece within a world context: Mining, energy supply and environment Energy Policy 2008, 36 (4) 1257-1272
46. World Wide Fund for Nature (WWF). Dirty Thirty, Ranking of the Most Polluting Power Stations in Europe; http://wwf.panda.org/?100140/Europes-Dirty- 30 (accessed July 2012).