Projected climate change impacts on Indiana’s Energy demand and supply

  • Leigh RaymondEmail author
  • Douglas Gotham
  • William McClain
  • Sayanti Mukherjee
  • Roshanak Nateghi
  • Paul V. Preckel
  • Peter Schubert
  • Shweta Singh
  • Elizabeth Wachs


This paper estimates changes in future energy demand and supply for Indiana due to projected climate change impacts. We first estimate demand changes under both the business-as-usual emissions scenario (RCP 8.5) and a scenario based on reduced emissions consistent with a 2-degree increase in global mean temperature (RCP 4.5), on both a statewide basis and for major urban areas. We then use our adjusted statewide energy demand projections as an input to a comprehensive model of Indiana’s energy system, to project expected changes in the state’s energy supply under both scenarios. Finally, we consider the potential impacts of two policy scenarios—a carbon pricing scheme and a renewable energy investment tax credit—on emissions and future energy supply choices. Our results suggest that climate change will have a relatively modest effect on energy demand and supply in Indiana, slightly increasing commercial demand and decreasing residential demand but having little effect on energy supply choices. In addition, our results suggest the potential for policy proposals currently being adopted in other states, such as a relatively small carbon price or investment credits for renewable energy sources, to have a larger impact on the state’s future energy mix, increasing production from low or zero carbon energy sources and reducing emissions.



This paper is a contribution to the Indiana Climate Change Impacts Assessment (INCCIA). The IN CCIA is managed and supported by the Purdue Climate Change Research Center. The authors would like to acknowledge support for this research from the Purdue Center for the Environment, the Purdue Climate Change Research Center, as well as National Science Foundation grants #1728209 and #1826161, and the USDA National Institute of Food and Agriculture, Hatch project 1016213.

Supplementary material

10584_2018_2299_MOESM1_ESM.docx (478 kb)
ESM 1 (DOCX 478 kb)
10584_2018_2299_MOESM2_ESM.docx (28 kb)
ESM 2 (DOCX 28 kb)


  1. Amato AD, Ruth M, Kirshen P, Horwitz J (2005) Regional energy demand responses to climate change: methodology and application to the Commonwealth of Massachusetts. Clim Chang 71(1):175–201CrossRefGoogle Scholar
  2. Burtraw D (2008) Cap, auction, and trade: auctions and revenue recycling under carbon cap and trade. Accessed 15 December 2017
  3. Elkhafif MAT (1996) An iterative approach for weather-correcting energy consumption data. Energy Econ 18:221–230CrossRefGoogle Scholar
  4. Energy Futures Initiative (2018) U.S. Energy and employment report. Accessed 3 July 2018
  5. Filippelli G, Jay S, Gibson J, Wells E, Moreno-Madriñán MJ, Ogashawara I, Freeman J, Rosenthal F (in review). The current and future impacts of climate change on human health in Indiana. Clim Chang (under review)Google Scholar
  6. Gotham, DJ, Angel JR, Pryor SC (2013) Vulnerability of the electricity and water sectors to climate change in the Midwest. In: Climate change in the Midwest: impacts, risks, vulnerability and adaptation, S.C. Pryor, ed., Indiana University Press, 158–177Google Scholar
  7. Hamlet AF, Brun K, Robeson S, Widhalm M, Baldwin M (2018) Impacts of climate change on the state of Indiana: future projections based on statistical downscaling. Clim ChangeGoogle Scholar
  8. Hastie T, Tibshirani R, Friedman JH (2008) The elements of statistical learning (second). Springer, New YorkGoogle Scholar
  9. International Energy Agency (2016) Energy Technology Perspectives 2016. Accessed 3 January 2018
  10. International Energy Agency—Energy Technology Systems Analysis Program (IEA-ETSAP) (2011) Accessed 26 November 2017
  11. Isaac M, Van Vuuren D (2009) Modeling global residential sector energy demand for heating and air conditioning in the context of climate change. Energy Policy 37(2):507–521CrossRefGoogle Scholar
  12. James G, Witten D, Hastie T, Tibshirani R (2013) An introduction to statistical learning—with applications in R. Springer-Verlag, New YorkCrossRefGoogle Scholar
  13. Kennedy CA, Stewart I, Facchini A, Cersosimo I, Mele R, Chen B, Uda M, Kansal A, Chiu A, Kim K, Dubeux C, LaRovere EL, Cunha B, Pincetl S, Keirstead J, Barles S, Pusaka S, Gunawa J, Adegbile M, Nazariha M, Hoque S, Marcotullio PJ, Otharan FG, Genena T, Ibrahim N, Farooqui R, Cervantes G, Sahin AD (2015) Energy and material flows of megacities. PNAS 112(19):5985–5990Google Scholar
  14. Lu L (2015) An assessment of the efficacy and cost of alternative carbon mitigation policies for the state of Indiana. Dissertation, Purdue UniversityGoogle Scholar
  15. McNeil M, Letschert V, de la Rue du Can S (2008) Global potential of energy efficiency standards and labeling programs. Ernest Orlando Lawrence Berkeley National Laboratory, BerkeleyCrossRefGoogle Scholar
  16. Mukherjee S, Nateghi R (2017) Climate sensitivity of end-use electricity consumption in the built environment: an application to the state of Florida, United States. Energy 28Google Scholar
  17. Mukherjee S, Nateghi R (2018a) A data-driven approach to assessing supply inadequacy risks due to climate-induced shifts in electricity demand. Risk Anal (under 3rd review)Google Scholar
  18. Mukherjee S, Nateghi R (2018b) Estimating climate–demand nexus to support long-term adequacy planning in the energy sector. In: 2017 IEEE Power & Energy society general meeting. IEEE Xplore, pp 1–5Google Scholar
  19. Nateghi R, Mukherjee S (2017) A multi-paradigm framework to assess the impacts of climate change on end-use energy demand. PLoS One 12(11):e0188033CrossRefGoogle Scholar
  20. Norman J, MacLean HL, Kennedy CA (2006) Comparing high and low residential density: life-cycle analysis of energy use and greenhouse gas emissions. J Urban Plan Dev 132(1):10–21CrossRefGoogle Scholar
  21. Prehoda EW, Pearce JM (2017) Potential lives saved by replacing coal with solar photovoltaic electricity production in the U.S. Renew Sust Energ Rev 80(Supplement C):710–715CrossRefGoogle Scholar
  22. Raymond L (2016) Reclaiming the atmospheric commons: the regional greenhouse gas initiative and a new model of emissions trading. MIT Press, CambridgeCrossRefGoogle Scholar
  23. Sailor DJ (2001) Relating residential and commercial sector electricity loads to climate—evaluating state level sensitivities and vulnerabilities. Energy 26:645–657CrossRefGoogle Scholar
  24. Sailor DJ, Muñoz JR (1997) Sensitivity of electricity and natural gas consumption to climate in the U.S.A.—methodology and results for eight states. Energy 22:987–998CrossRefGoogle Scholar
  25. Singh S, Kennedy C (2015) Estimating future energy use and CO2 emissions of the world’s cities. Environ Pollut 203:271–278CrossRefGoogle Scholar
  26. Stehfest E, van Vuuren D, Kram T, Bouwman L, Alkemade R, Bakkenes M, Biemans H, Bouwman A, den Elzen M, Janse J, Lucas P, van Minnen J, Müller C, Prins A (2014) Integrated assessment of global environmental change with IMAGE 30—model description and policy applications Accessed 3 July 2018
  27. (SUFG) State Utility Forecasting Group (2017) Indiana renewable energy resources study. Accessed 15 December 2017
  28. (SUFG) State Utility Forecasting Group (2016) 2016 Indiana renewable energy Resources Study. Accessed 26 November 2017
  29. Stern N, Stiglitz JE (2017) Report of the high-level commission on carbon prices. World Bank, Washington D.CGoogle Scholar
  30. U.S. Energy Information Agency (2016) State Energy Data System (SEDS) INDIANA: State Profile & Energy Estimates. Accessed 15 December 2017
  31. U.S. Energy Information Agency (2017a) Commercial Building Energy Consumption Survey (CBECS). Accessed 10 May 2017
  32. U.S. Energy Information Agency (2017b) Indiana State Energy Profile. Accessed 15 December 2017
  33. U.S. Energy Information Agency (2017c) Residential Energy Consumption Survey (RECS). Accessed 15 December 2017
  34. U.S. EPA (2013) Region Nine MARKAL database, database documentation. US Environmental Protection Agency, Cincinnati, OH, EPA/600/B-13/203Google Scholar
  35. Wachs, E, Singh S (under review) Estimating spatial variations of urban energy demand in Indiana under future climate change scenarios. Clim ChangGoogle Scholar
  36. Wilbanks T, Bilello D, Schmalzer D, Scott M et al (2013) Climate change and energy supply and use: technical report for the U.S. Department of Energy in support of the National Climate Assessment. Island Press, Washington, DCGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Leigh Raymond
    • 1
    Email author
  • Douglas Gotham
    • 2
  • William McClain
    • 2
  • Sayanti Mukherjee
    • 3
  • Roshanak Nateghi
    • 3
  • Paul V. Preckel
    • 2
  • Peter Schubert
    • 4
  • Shweta Singh
    • 5
  • Elizabeth Wachs
    • 5
  1. 1.Department of Political Science and Purdue Climate Change Research CenterPurdue UniversityWest LafayetteUSA
  2. 2.State Utility Forecasting Group, Discovery ParkPurdue UniversityWest LafayetteUSA
  3. 3.Department of Industrial Engineering and Department of Environmental and Ecological EngineeringPurdue UniversityWest LafayetteUSA
  4. 4.Richard G. Lugar Center for Renewable Energy, Department of Electrical and Computer EngineeringIndiana University Purdue University Indianapolis (IUPUI)IndianapolisUSA
  5. 5.Department of Agricultural and Biological Engineering and Department of Environmental and Ecological EngineeringPurdue UniversityWest LafayetteUSA

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