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Projecting the urban energy demand for Indiana, USA, in 2050 and 2080

Abstract

Energy use is one of the largest drivers of climate change, but the large share of energy used for space heating and cooling is also driven by climate change. Demand for energy, particularly cooling, is important for long-range infrastructure planning. Urban areas represent a very small proportion of total land, but usually consume the majority of energy. In this work, statistical, top-down approaches are used to model residential and commercial urban energy demand changes in Indiana, a state in the Midwest region of the USA, in 2050 and 2080 under the climate change scenarios of RCP 4.5 and 8.5. By modeling energy demand changes in urban areas in Indiana, we can project the majority of energy demand while placing it in a spatial perspective that is missing from the statewide estimates. Two time periods are used to give an intuitive time stamp and temporal perspective. Results indicate that Indiana’s northernmost cities are expected to show significantly increased residential cooling demand due to climate change by 2080. Indianapolis represents an increasing share of total urban commercial and residential energy use over the next 60 years. Transportation is expected to represent a larger share of energy use as heating demand declines under climate change scenarios.

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References

  1. Administration UEI (2017) Annual energy outlook. Tech. rep., US Department of Energy United States Government Printing Office, Washington, DC

  2. Administration UEI (2018) Annual energy outlook. Tech. rep., US Department of Energy United States Government Printing Office. Washington, DC

  3. Angel S, Parent J, Civco DL, Blei AM (2012) Atlas of urban expansion data. Tech. rep., Lincoln Institute of Land Policy

  4. Arbib J, Seba T (2017) Rethinking transportation 2020-2030. Tech. rep., RethinkX

  5. Brown MA, Logan E (2008) The residential energy and carbon footprints of the 100 the residential energy and carbon footprints of the 100 largest U. S. Metropolitan Areas, white paper

  6. Davis LW, Gertler PJ (2015) Contribution of air conditioning adoption to future energy use under global warming. Proc Nat Acad Sci 112(19):5962–5967. http://www.pnas.org/lookup/doi/10.1073/pnas.1423558112

  7. Dirks JA, Gorrissen WJ, Hathaway JH, Skorski DC, Scott MJ, Pulsipher TC, Huang M, Liu Y, Rice JS (2015) Impacts of climate change on energy consumption and peak demand in buildings: a detailed regional approach. Energy 79 (C):20–32. https://doi.org/10.1016/j.energy.2014.08.081

  8. Douglas M, Runger G (2010) Applied statistics and probability for engineers. Wiley

  9. Fishbone LG, Abilock H (1981) Markal, a linear-programming model for energy systems analysis: technical description of the bnl version. Int J Energy Res 5(4):353–375

  10. Gurney KR, Mendoza DL, Zhou Y, Fischer ML, Miller CC, Geethakumar S, de la Rue du Can S (2009) High resolution fossil fuel combustion co2 emission fluxes for the united states. Environ Sci Technol 43(14):5535–5541

  11. Hamlet A, Brun K, Robeson S, Widhalm M, Baldwin M (2019; this issue) Impacts of climate change on the state of Indiana: ensemble future projections based on statistical downscaling. Climatic Change

  12. Heaps C (2016) Long-range energy alternatives planning (LEAP) system. https://www.energycommunity.org, software version: 2018.1.8

  13. Isaac M, van Vuuren DP (2009) Modeling global residential sector energy demand for heating and air conditioning in the context of climate change. Energy Polic 37 (2):507–521. https://doi.org/10.1016/j.enpol.2008.09.051

  14. Iyer G, Clarke L, Edmonds J, Kyle P, Ledna C, Mcjeon H, Wise M (2017) GCAM-USA analysis of U. S. Electric power sector transitions. Tech Rep. May, Pacific Northwest National Laboratory - US Department of Energy. https://doi.org/10.1007/s11151-008-9171-2

  15. Kennedy CA, Stewart I, Facchini A, Cersosimo I, Mele R, Chen B, Uda M, Kansal A, Chiu A, Kim Kg, Dubeux C, Lebre La Rovere E, Cunha B, Pincetl S, Keirstead J, Barles S, Pusaka S, Gunawan J, Adegbile M, Nazariha M, Hoque S, Marcotullio PJ, González Otharán F, Genena T, Ibrahim N, Farooqui R, Cervantes G, Sahin AD (2015) Energy and material flows of megacities. Proc Nat Acade Sci 112(19):5985–5990. http://www.pnas.org/lookup/doi/10.1073/pnas.1504315112

  16. Lokhandwala M, Nateghi R (2018) Leveraging advanced predictive analytics to assess commercial cooling load in the U.S. Sustain Product Consumpt 14:66–81. https://doi.org/10.1016/j.spc.2018.01.001. https://www.sciencedirect.com/science/article/pii/S2352550918300083

  17. Masanet ER, Poponi D, Bryant T, Burnard K, Cazzola P, Dulac J, Pales AF, Husar J, Janoska P, Munuera L, Remme U, Teter J, West K (2016) Energy technology perspectives 2016 - towards sustainable urban energy systems. International Energy Agency

  18. McNeil Ma, Letschert VE (2008) Future air conditioning energy consumption in developing countries and what can be done about it: the potential of efficiency in the residential sector. Tech. rep., Lawrence Berkeley National Laboratory. https://escholarship.org/uc/item/64f9r6wr

  19. McNeil MA, Letschert VE, de la Rue du Can S (2008) Global potential of energy efficiency standards and labeling programs. Tech. Rep. June, Ernest Orlando Lawrence Berkeley National Laboratory. https://eaei.lbl.gov/sites/all/files/lbnl-760e.pdf

  20. 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):e0188,033. https://doi.org/10.1371/journal.pone.0188033. http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0188033&type=printable

  21. Parshall L, Gurney K, Hammer SA, Mendoza D, Zhou Y, Geethakumar S (2010) Modeling energy consumption and CO2emissions at the urban scale: methodological challenges and insights from the United States. Energy Polic 38 (9):4765–4782. https://doi.org/10.1016/j.enpol.2009.07.006

  22. Raymond L, Gotham D, McClain W, Mukherjee S, Nateghi R, Preckel PV, Schubert P, Singh S, Wachs E (2019; this issue) Projected climate change impacts on Indiana’s energy demand and supply. Climatic Change

  23. Riahi K, Rao S, Krey V, Cho C, Chirkov V, Fischer G, Kindermann G, Nakicenovic N, Rafaj P (2011) RCP 8.5-A scenario of comparatively high greenhouse gas emissions. Clim Change 109(1):33–57. https://doi.org/10.1007/s10584-011-0149-y

  24. Ritchie J, Dowlatabadi H (2017) The 1000 GtC coal question: are cases of vastly expanded future coal combustion still plausible? Energy Econom 65:16–31. https://doi.org/10.1016/j.eneco.2017.04.015

  25. Rong F, Clarke LE, Smith SJ (2007) Climate change and the long term evolution of the US Building sector. Tech. Rep. April, Pacific Northwest National Laboratory, US Department of Energy. http://www.pnl.gov/main/publications/external/technical_reports/PNNL-16869.pdf

  26. Sailor DJ, Muñoz J R (1997) Sensitivity of electricity and natural gas consumption to climate in the U.S.A. - methodology and results for eight states. Energy 22(10):987–998. https://doi.org/10.1016/S0360-5442(97)00034-0

  27. Sailor DJ, Pavlova AA (2003) Air conditioning market saturation and long-term response of residential cooling energy demand to climate change. Energy 28(9):941–951. https://doi.org/10.1016/S0360-5442(03)00033-1

  28. Schneider A, Friedl MA, Potere D (2009) A new map of global urban extent from MODIS satellite data. Environ Res Lett 4:4. https://doi.org/10.1088/1748-9326/4/4/044003

  29. Seto KC, Dhakal S, Bigio A, Blanco H, Delgado GC, Dewar D, Huang L, Inaba A, Kansal A, Lwasa S, McMahon J, Müller D, Murakami J, Nagrenda H, Ramaswami A (2015) Climate Change 2014: mitigation of climate change. Contribution of working group III to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, chap 12. Human Settlements, Infrastructure, and Spatial Planning, pp 923–1000. https://doi.org/10.1017/CBO9781107415416.018

  30. Singh S, Kennedy C (2015) Estimating future energy use and CO2emissions of the world’s cities. Environ Pollut 203:271–278. https://doi.org/10.1016/j.envpol.2015.03.039

  31. Sivak M (2009) Potential energy demand for cooling in the 50 largest metropolitan areas of the world: implications for developing countries. Energy Polic 37(4):1382–1384. https://doi.org/10.1016/j.enpol.2008.11.031

  32. STATS Indiana (2012) Population projections by age and sex for Indiana counties and regions 2010-2050. Tech. rep., STATS Indiana. www.stats.indiana.edu/topic/projections.asp

  33. Thomson AM, Calvin KV, Smith SJ, Kyle GP, Volke A, Patel P, Delgado-Arias S, Bond-Lamberty B, Wise MA, Clarke LE, Edmonds JA (2011) RCP4.5: a pathway for stabilization of radiative forcing by 2100. Clim Change 109(1):77–94. https://doi.org/10.1007/s10584-011-0151-4

  34. US Census Bureau (2012a) 2010 census urban and rural classification and urban area criteria. https://www.census.gov/geo/reference/ua/urban-rural-2010.html

  35. US Census Bureau (2012b) Indiana: 2010 population and housing unit counts. https://www.census.gov/prod/cen2010/cph-2-16.pdf

  36. US Census Bureau (2017) Quickfacts database

  37. US Energy Information Administration (2012) Commercial buildings energy consumption survey (CBECS). https://www.eia.gov/consumption/commercial/

  38. US Energy Information Administration (2017a) 2015 residential energy consumption survey

  39. US Energy Information Administration (2017b) Indiana: state profile and energy estimates. https://www.eia.gov/state/?sid=IN

  40. Wang H, Chen Q (2014) Impact of climate change heating and cooling energy use in buildings in the United States. Energy Build 82:428–436

  41. Watts M (2017) Commentary: cities spearhead climate action. Nat Clim Change 7(8):537–538. https://doi.org/10.1038/nclimate3358

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Acknowledgments

Thanks to Deger Saygin for assistance in focusing the heating calculations on residential and commercial use. We would like to acknowledge the funding from Canada NSERC grant to Chris Kennedy that supported the work of co-author Singh on developing methodology and code for estimation of HDD, CDD and energy consumption projection under climate change which has formed the foundation for part of this work. Thanks to Leigh Raymond for comments and revisions during the modeling process. Jinwoong Yoo helped with temperature data processing. Thanks to Bernard Engel for providing additional feedback during the review process. We also thank anonymous reviewers for insightful comments that significantly improved our cooling energy estimation.

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Correspondence to Shweta Singh.

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This article is part of a Special Issue on “The Indiana Climate Change Impacts Assessment” edited by Jeffrey Dukes, Melissa Widhalm, Daniel Vimont, and Linda Prokopy.

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Wachs, L., Singh, S. Projecting the urban energy demand for Indiana, USA, in 2050 and 2080. Climatic Change (2020). https://doi.org/10.1007/s10584-019-02618-z

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Keywords

  • Urban
  • Energy
  • Climate change