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Volumn 20, Issue 5, 2015, Pages 549-569

Incorporating Uncertainty into World Energy Modelling: the PROMETHEUS Model

Author keywords

Econometric estimation; Monte Carlo simulations; Power generation planning under uncertainty; Stochastic energy system modelling; Uncertainty

Indexed keywords

CLIMATE MODELS; INVESTMENTS; MONTE CARLO METHODS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

EID: 84940585387     PISSN: 14202026     EISSN: 15732967     Source Type: Journal    
DOI: 10.1007/s10666-015-9442-x     Document Type: Article
Times cited : (35)

References (54)
  • 1
    • 33845268617 scopus 로고    scopus 로고
    • Climate modeling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model
    • Alberth, S., & Hope, C. (2006). Climate modeling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model. Energy Policy, 35(3), 1795–1807.
    • (2006) Energy Policy , vol.35 , Issue.3 , pp. 1795-1807
    • Alberth, S.1    Hope, C.2
  • 2
    • 84855353657 scopus 로고    scopus 로고
    • Combining stochastic optimization and Monte Carlo simulation to deal with uncertainties in climate policy assessment
    • Babonneau, F., Haurie, A., Loulou, R., & Vielle, M. (2012). Combining stochastic optimization and Monte Carlo simulation to deal with uncertainties in climate policy assessment. Environmental Modeling & Assessment, 17, 51–76.
    • (2012) Environmental Modeling & Assessment , vol.17 , pp. 51-76
    • Babonneau, F.1    Haurie, A.2    Loulou, R.3    Vielle, M.4
  • 3
    • 84962698725 scopus 로고
    • The economic implications of learning-by-doing
    • Arrow, K. (1962). The economic implications of learning-by-doing. Review of Economic Studies, 29, 155–173.
    • (1962) Review of Economic Studies , vol.29 , pp. 155-173
    • Arrow, K.1
  • 4
    • 84940609635 scopus 로고    scopus 로고
    • World population prospects: The 2008 revision
    • United Nations, Department of Economic and Social Affairs, Population Division. 2009. World population prospects: The 2008 revision. New York.
    • (2009) New York
  • 5
    • 77954324631 scopus 로고    scopus 로고
    • Environmental prices, uncertainty, and learning
    • Dietz, S., & Fankhauser, S. (2010). Environmental prices, uncertainty, and learning. Oxford Review of Economic Policy, 26(2), 270–284.
    • (2010) Oxford Review of Economic Policy , vol.26 , Issue.2 , pp. 270-284
    • Dietz, S.1    Fankhauser, S.2
  • 6
    • 84916930829 scopus 로고    scopus 로고
    • Mid- and long-term climate projections for fragmented and delayed-action scenarios
    • Schaeffer, et al. (2014). Mid- and long-term climate projections for fragmented and delayed-action scenarios. Technological Forecasting and Social Change. doi:10.1016/ j.techfore.2013.09.013.
    • (2014) Technological Forecasting and Social Change
    • Schaeffer1
  • 7
    • 0034403996 scopus 로고    scopus 로고
    • Approaches for performing uncertainty analysis in large-scale energy/economic policy models
    • Kann, A., & Weyant, J. (2000). Approaches for performing uncertainty analysis in large-scale energy/economic policy models. Environmental Modeling and Assessment, 5, 29–46.
    • (2000) Environmental Modeling and Assessment , vol.5 , pp. 29-46
    • Kann, A.1    Weyant, J.2
  • 8
    • 0346945917 scopus 로고    scopus 로고
    • Endogenous learning in world post-Kyoto scenarios: Applications of the POLES model under adaptive expectations
    • Kouvaritakis, N., Soria, A., & Isoard, S. (2000). Endogenous learning in world post-Kyoto scenarios: Applications of the POLES model under adaptive expectations. International Journal of Global Energy Issues, 14, 222–248.
    • (2000) International Journal of Global Energy Issues , vol.14 , pp. 222-248
    • Kouvaritakis, N.1    Soria, A.2    Isoard, S.3
  • 10
    • 84940598578 scopus 로고    scopus 로고
    • SEDS 2007. https://seds.nrel.gov/
    • (2007) SEDS
  • 11
    • 0035993846 scopus 로고    scopus 로고
    • Uncertainty in emissions projections for climate models
    • COI: 1:CAS:528:DC%2BD38XlvVSnt78%3D
    • Webster, M. D., Babiker, M., Mayer, M., Reilly, J. M., Harnisch, J., et al. (2002). Uncertainty in emissions projections for climate models. Atmospheric Environment, 36(22), 3659–3670.
    • (2002) Atmospheric Environment , vol.36 , Issue.22 , pp. 3659-3670
    • Webster, M.D.1    Babiker, M.2    Mayer, M.3    Reilly, J.M.4    Harnisch, J.5
  • 12
    • 38349075935 scopus 로고    scopus 로고
    • Stabilizing global temperature change below thresholds: Monte Carlo analyses with merge
    • Kypreos, S. (2008). Stabilizing global temperature change below thresholds: Monte Carlo analyses with merge. Computational Management Science, 5(1), 141–170.
    • (2008) Computational Management Science , vol.5 , Issue.1 , pp. 141-170
    • Kypreos, S.1
  • 13
    • 30544449939 scopus 로고    scopus 로고
    • Uncertainty and economic analysis of climate change: A survey of approaches and findings
    • Peterson, S., (2006). Uncertainty and economic analysis of climate change: A survey of approaches and findings. Environmental Modelling & Assessment, 11(1), 1–17.
    • (2006) Environmental Modelling & Assessment , vol.11 , Issue.1 , pp. 1-17
    • Peterson, S.1
  • 14
    • 0037611322 scopus 로고    scopus 로고
    • World Petroleum assessment, United States
    • USGS (2000). US Geological Survey, World Petroleum assessment 2000, United States.
    • (2000) US Geological Survey
  • 15
    • 84940597679 scopus 로고    scopus 로고
    • Schenk, C. J., (2012). An estimate of undiscovered conventional oil and gas resources of the world, 2012: US Geological Survey Fact Sheet 2012–3042, 6 p.
    • (2012) US Geological Survey Fact Sheet , vol.2012-3042 , pp. 6
  • 17
    • 52049122936 scopus 로고    scopus 로고
    • Technical change and the marginal cost of abatement
    • Baker, E., Clarke, L., & Shittu, E. (2008). Technical change and the marginal cost of abatement. Energy Economics, 30(6), 2799–2816.
    • (2008) Energy Economics , vol.30 , Issue.6 , pp. 2799-2816
    • Baker, E.1    Clarke, L.2    Shittu, E.3
  • 18
    • 84898543746 scopus 로고    scopus 로고
    • Harmonization vs. fragmentation: Overview of climate policy scenarios in EMF27
    • COI: 1:CAS:528:DC%2BC2cXisFCjsrc%3D
    • Blanford, G. J., Kriegler, E., & Tavoni, M. (2014). Harmonization vs. fragmentation: Overview of climate policy scenarios in EMF27. Climatic Change, 123(3–4), 383–396.
    • (2014) Climatic Change , vol.123 , Issue.3-4 , pp. 383-396
    • Blanford, G.J.1    Kriegler, E.2    Tavoni, M.3
  • 19
    • 0033508963 scopus 로고    scopus 로고
    • Uncertainty in integrated assessment models: Modeling with MiniCAM 1.0
    • Scott, M. J., Sands, R. D., Edmonds, J., Liebetrau, A. M., & Engel, D. W. (1999). Uncertainty in integrated assessment models: Modeling with MiniCAM 1.0. Energy Policy, 27(14), 855–879.
    • (1999) Energy Policy , vol.27 , Issue.14 , pp. 855-879
    • Scott, M.J.1    Sands, R.D.2    Edmonds, J.3    Liebetrau, A.M.4    Engel, D.W.5
  • 20
    • 85099337144 scopus 로고
    • 2 emission 1975 to 2075. Report TR036, DO3/NBB-0081 Dist. Category UC-11 (National Technical Information Service
    • Washington, DC: USA)
    • 2 emission 1975 to 2075. Report TR036, DO3/NBB-0081 Dist. Category UC-11 (National Technical Information Service, US Department of Commerce, Washington, DC, USA).
    • (1986) US Department of Commerce
    • Edmonds, J.A.1    Reilly, J.M.2    Gardner, R.H.3    Brenkert, A.4
  • 21
    • 84940586466 scopus 로고
    • Future paths of energy and carbon dioxide emissions, Changing Climate: Report of the Carbon Dioxide Assessment Committee, National Research Council
    • Washington DC: USA
    • Nordhaus, W. & Yohe, G., (1983). Future paths of energy and carbon dioxide emissions, Changing Climate: Report of the Carbon Dioxide Assessment Committee, National Research Council, National Academy Press, Washington DC, USA.
    • (1983) National Academy Press
    • Nordhaus, W.1    Yohe, G.2
  • 22
    • 0033180485 scopus 로고    scopus 로고
    • The optimal choice of climate change policy in the presence of uncertainty
    • Pizer, W. A. (1999). The optimal choice of climate change policy in the presence of uncertainty. Resource and Energy Economics, 21, 255–287.
    • (1999) Resource and Energy Economics , vol.21 , pp. 255-287
    • Pizer, W.A.1
  • 23
    • 33845877352 scopus 로고    scopus 로고
    • The economics of climate change: The Stern review, Technical report, Cambridge University Press, Cambridge
    • Stern., N., (2006). The economics of climate change: The Stern review, Technical report, Cambridge University Press, Cambridge, UK, 2006.
    • (2006) UK , pp. 2006
  • 26
    • 0035792238 scopus 로고    scopus 로고
    • Worldwide offshore wind potential and European projects. Power Engineering Society Summer Meeting, vol. 1
    • Ackermann, T., Leutz, R., & Hobohm, J., (2001). Worldwide offshore wind potential and European projects. Power Engineering Society Summer Meeting, vol. 1, IEEE
    • (2001) IEEE
    • Ackermann, T.1    Leutz, R.2    Hobohm, J.3
  • 27
    • 0036830716 scopus 로고    scopus 로고
    • Hydropower potential and development activities
    • Bartle, A. (2002). Hydropower potential and development activities. Energy Policy, 30, 1231–1239.
    • (2002) Energy Policy , vol.30 , pp. 1231-1239
    • Bartle, A.1
  • 28
    • 33845461820 scopus 로고    scopus 로고
    • Renewable energy sources: their global potential for the first-half of the 21st century at a global level: An integrated approach
    • De Vries, B. J. M., Van Vuuren, D. P., & Hoogwijk, M. (2006). Renewable energy sources: their global potential for the first-half of the 21st century at a global level: An integrated approach. Energy Policy, 35, 2590–2610.
    • (2006) Energy Policy , vol.35 , pp. 2590-2610
    • De Vries, B.J.M.1    Van Vuuren, D.P.2    Hoogwijk, M.3
  • 29
    • 4544364660 scopus 로고    scopus 로고
    • Assessment of the global and regional geographical technical and economic potential of onshore wind energy
    • Hoogwijk, M., De Vries, H. J. M., & Turkenburg, W. C. (2004). Assessment of the global and regional geographical technical and economic potential of onshore wind energy. Energy Economics, 26, 889–919.
    • (2004) Energy Economics , vol.26 , pp. 889-919
    • Hoogwijk, M.1    De Vries, H.J.M.2    Turkenburg, W.C.3
  • 30
    • 0035089454 scopus 로고    scopus 로고
    • Global bioenergy potentials through 2050
    • Fischer, G., & Schrattenholzer, L. (2001). Global bioenergy potentials through 2050. Biomass and Bioenergy, 20(3), 151–159.
    • (2001) Biomass and Bioenergy , vol.20 , Issue.3 , pp. 151-159
    • Fischer, G.1    Schrattenholzer, L.2
  • 31
    • 0034822356 scopus 로고    scopus 로고
    • Evaluation of bioenergy potential with a multi-regional global-land-use-and-energy model
    • Yamamoto, H., Fujino, J., & Yamaji, K. (2001). Evaluation of bioenergy potential with a multi-regional global-land-use-and-energy model. Biomass and Bioenergy, 21(3), 185–203.
    • (2001) Biomass and Bioenergy , vol.21 , Issue.3 , pp. 185-203
    • Yamamoto, H.1    Fujino, J.2    Yamaji, K.3
  • 32
    • 4344606361 scopus 로고    scopus 로고
    • Global biomass fuel resources
    • Parikka, M. (2004). Global biomass fuel resources. Biomass and Bioenergy, 27(6), 613–620.
    • (2004) Biomass and Bioenergy , vol.27 , Issue.6 , pp. 613-620
    • Parikka, M.1
  • 36
    • 84940594532 scopus 로고    scopus 로고
    • MARKAL Scenario Analyses of Technology Options for the Electric Sector: The impact on air quality, U.S. Environmental Protection Agency, Washington, DC
    • Johnson, T. L., C. Shay, J. DeCarolis, D. Loughlin, C. Gage and S. Vijay, MARKAL Scenario Analyses of Technology Options for the Electric Sector: The impact on air quality, U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-06/114, 2006.
    • (2006) EPA/600/R-06/114
    • Johnson, T.L.1    Shay, C.2    DeCarolis, J.3    Loughlin, D.4    Gage, C.5    Vijay, S.6
  • 37
    • 0018468345 scopus 로고
    • A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
    • McKay, M. D., Conover, W. J., & Beckman, R. J. (1979). A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 21(2), 239–245.
    • (1979) Technometrics , vol.21 , Issue.2 , pp. 239-245
    • McKay, M.D.1    Conover, W.J.2    Beckman, R.J.3
  • 38
    • 78649516258 scopus 로고    scopus 로고
    • Worldwide gas shales and unconventional gas: A status report
    • Washington DC: USA
    • Kuuskraa V. A., (2009) Worldwide gas shales and unconventional gas: A status report. Advanced Resources International Inc., Washington DC, USA.
    • (2009) Advanced Resources International Inc.
    • Kuuskraa, V.A.1
  • 39
    • 0031384758 scopus 로고    scopus 로고
    • An assessment of world hydrocarbon resources
    • Rogner, H. H. (1997). An assessment of world hydrocarbon resources. Annual Review of Energy and Environment, 22, 217–262.
    • (1997) Annual Review of Energy and Environment , vol.22 , pp. 217-262
    • Rogner, H.H.1
  • 40
    • 84903270547 scopus 로고    scopus 로고
    • Global energy assessment—Toward a sustainable future. Cambridge University Press, Cambridge UK and New York
    • Laxenburg, Austria
    • GEA (2012). Global energy assessment—Toward a sustainable future. Cambridge University Press, Cambridge UK and New York, USA and the International Institute for Applied Systems Analysis, Laxenburg, Austria.
    • (2012) USA and the International Institute for Applied Systems Analysis
  • 44
    • 84940590027 scopus 로고    scopus 로고
    • Synthesis report. Cambridge
    • USA: Intergovernmental Panel on Climate Change
    • IPCC (2007). Climate change 2007: Synthesis report. Cambridge, UK and New York, USA: Intergovernmental Panel on Climate Change.
    • (2007) UK and New York
  • 45
    • 84879274390 scopus 로고    scopus 로고
    • Model-based analysis of the future strategies for the MENA energy system
    • Fragkos, P., Kouvaritakis, N., & Capros, P. (2013). Model-based analysis of the future strategies for the MENA energy system. Energy Strategy Reviews, 2(1), 59–70.
    • (2013) Energy Strategy Reviews , vol.2 , Issue.1 , pp. 59-70
    • Fragkos, P.1    Kouvaritakis, N.2    Capros, P.3
  • 46
    • 59349096662 scopus 로고    scopus 로고
    • Interim monitoring of cost dynamics for publicly supported energy technologies
    • Nemet, G. F. (2009). Interim monitoring of cost dynamics for publicly supported energy technologies. Energy Policy, 37(3), 825–835.
    • (2009) Energy Policy , vol.37 , Issue.3 , pp. 825-835
    • Nemet, G.F.1
  • 47
    • 84940574539 scopus 로고    scopus 로고
    • JRC scientific and policy reports
    • Publications Office of the European Union, Luxembourg
    • European Commission (2012). JRC scientific and policy reports. Technology learning curves for energy policy support, Publications Office of the European Union, Luxembourg.
    • (2012) Technology learning curves for energy policy support
  • 48
    • 84940607889 scopus 로고    scopus 로고
    • World energy model, IEA, Tech
    • IEA, World energy model, IEA, Tech. Rep., (2012). http://www.iea.org/publications/worldenergyoutlook/weomodel/
    • (2012) Rep.
  • 49
    • 84940580789 scopus 로고    scopus 로고
    • Prospective outlook on long-term energy systems—POLES manual
    • IPTS (Institute for Prospective Technological Studies). Accessed March 2014
    • IPTS (Institute for Prospective Technological Studies). (2010). Prospective outlook on long-term energy systems—POLES manual, Version 6.1. European Commission Joint Research Centre, http://ipts.jrc.ec.europa.eu/activities/energy-and-transport/documents/POLES description.pdf, Accessed March 2014.
    • (2010) Version 6.1. European Commission Joint Research Centre
  • 50
    • 0032839653 scopus 로고    scopus 로고
    • Combining probability distributions from experts in risk analysis
    • Clemen, R. T., & Winkler, R. L. (1999). Combining probability distributions from experts in risk analysis. Risk Analysis, 19(2), 187–203.
    • (1999) Risk Analysis , vol.19 , Issue.2 , pp. 187-203
    • Clemen, R.T.1    Winkler, R.L.2
  • 51
    • 84855912583 scopus 로고    scopus 로고
    • A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries
    • Vithayasrichareon, P., & MacGill, I. F. (2012). A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries. Energy Policy, 41, 374–392.
    • (2012) Energy Policy , vol.41 , pp. 374-392
    • Vithayasrichareon, P.1    MacGill, I.F.2
  • 53
    • 84876080587 scopus 로고    scopus 로고
    • Energy Roadmap: Impact assessment and scenario analyses
    • European Commission. (2011). Energy Roadmap 2050. Impact assessment and scenario analyses. http://ec.europa.eu/energy/energy2020/roadmap/doc/roadmap2050_ia_20120430_en.pdf
    • (2011) European Commission


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