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Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model

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Listed:
  • Scott, Michael J.
  • Daly, Don S.
  • Hathaway, John E.
  • Lansing, Carina S.
  • Liu, Ying
  • McJeon, Haewon C.
  • Moss, Richard H.
  • Patel, Pralit L.
  • Peterson, Marty J.
  • Rice, Jennie S.
  • Zhou, Yuyu

Abstract

In this paper, an IAM (integrated assessment model) uses a newly-developed Monte Carlo analysis capability to analyze the impacts of more aggressive U.S. residential and commercial building-energy codes and equipment standards on energy consumption and energy service costs at the state level, explicitly recognizing uncertainty in technology effectiveness and cost, socioeconomics, presence or absence of carbon prices, and climate impacts on energy demand. The paper finds that aggressive building-energy codes and equipment standards are an effective, cost-saving way to reduce energy consumption in buildings and greenhouse gas emissions in U.S. states. This conclusion is robust to significant uncertainties in population, economic activity, climate, carbon prices, and technology performance and costs.

Suggested Citation

  • Scott, Michael J. & Daly, Don S. & Hathaway, John E. & Lansing, Carina S. & Liu, Ying & McJeon, Haewon C. & Moss, Richard H. & Patel, Pralit L. & Peterson, Marty J. & Rice, Jennie S. & Zhou, Yuyu, 2015. "Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model," Energy, Elsevier, vol. 90(P2), pages 1682-1694.
  • Handle: RePEc:eee:energy:v:90:y:2015:i:p2:p:1682-1694
    DOI: 10.1016/j.energy.2015.06.127
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    References listed on IDEAS

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    1. Rosen, Richard A. & Guenther, Edeltraud, 2015. "The economics of mitigating climate change: What can we know?," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 93-106.
    2. Weiss, Martin & Patel, Martin K. & Junginger, Martin & Blok, Kornelis, 2010. "Analyzing price and efficiency dynamics of large appliances with the experience curve approach," Energy Policy, Elsevier, vol. 38(2), pages 770-783, February.
    3. Koirala, Bishwa S. & Bohara, Alok K. & Berrens, Robert P., 2014. "Estimating the net implicit price of energy efficient building codes on U.S. households," Energy Policy, Elsevier, vol. 73(C), pages 667-675.
    4. Peterson, Sonja, 2006. "Uncertainty and economic analysis of climate change: a survey of approaches and findings," Open Access Publications from Kiel Institute for the World Economy 3778, Kiel Institute for the World Economy (IfW).
    5. Mort Webster & Andrei Sokolov & John Reilly & Chris Forest & Sergey Paltsev & Adam Schlosser & Chien Wang & David Kicklighter & Marcus Sarofim & Jerry Melillo & Ronald Prinn & Henry Jacoby, 2012. "Analysis of climate policy targets under uncertainty," Climatic Change, Springer, vol. 112(3), pages 569-583, June.
    6. Miara, Ariel & Tarr, Craig & Spellman, Rachel & Vörösmarty, Charles J. & Macknick, Jordan E., 2014. "The power of efficiency: Optimizing environmental and social benefits through demand-side-management," Energy, Elsevier, vol. 76(C), pages 502-512.
    7. Zhou, Wenji & Zhu, Bing & Chen, Dingjiang & Zhao, Fangxian & Fei, Weiyang, 2014. "How policy choice affects investment in low-carbon technology: The case of CO2 capture in indirect coal liquefaction in China," Energy, Elsevier, vol. 73(C), pages 670-679.
    8. Labriet, Maryse & Kanudia, Amit & Loulou, Richard, 2012. "Climate mitigation under an uncertain technology future: A TIAM-World analysis," Energy Economics, Elsevier, vol. 34(S3), pages 366-377.
    9. Zhou, Yuyu & Clarke, Leon & Eom, Jiyong & Kyle, Page & Patel, Pralit & Kim, Son H. & Dirks, James & Jensen, Erik & Liu, Ying & Rice, Jennie & Schmidt, Laurel & Seiple, Timothy, 2014. "Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework," Applied Energy, Elsevier, vol. 113(C), pages 1077-1088.
    10. Wilkerson, Jordan T. & Leibowicz, Benjamin D. & Turner, Delavane D. & Weyant, John P., 2015. "Comparison of integrated assessment models: Carbon price impacts on U.S. energy," Energy Policy, Elsevier, vol. 76(C), pages 18-31.
    11. Tonn, Bruce & Peretz, Jean H., 2007. "State-level benefits of energy efficiency," Energy Policy, Elsevier, vol. 35(7), pages 3665-3674, July.
    12. Gracceva, Francesco & Zeniewski, Peter, 2013. "Exploring the uncertainty around potential shale gas development – A global energy system analysis based on TIAM (TIMES Integrated Assessment Model)," Energy, Elsevier, vol. 57(C), pages 443-457.
    13. Page Kyle & Leon Clarke & Fang Rong & Steven J. Smith, 2010. "Climate Policy and the Long-Term Evolution of the U.S. Buildings Sector," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 145-172.
    14. J. Rice & R. Moss & P. Runci & K. Anderson & E. Malone, 2012. "Incorporating stakeholder decision support needs into an integrated regional Earth system model," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(7), pages 805-819, October.
    15. Eom, Jiyong & Clarke, Leon & Kim, Son H. & Kyle, Page & Patel, Pralit, 2012. "China's building energy demand: Long-term implications from a detailed assessment," Energy, Elsevier, vol. 46(1), pages 405-419.
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    Citations

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    Cited by:

    1. Li, Wenliang & Zhou, Yuyu & Cetin, Kristen & Eom, Jiyong & Wang, Yu & Chen, Gang & Zhang, Xuesong, 2017. "Modeling urban building energy use: A review of modeling approaches and procedures," Energy, Elsevier, vol. 141(C), pages 2445-2457.
    2. Szodrai, Ferenc & Lakatos, Ákos & Kalmár, Ferenc, 2016. "Analysis of the change of the specific heat loss coefficient of buildings resulted by the variation of the geometry and the moisture load," Energy, Elsevier, vol. 115(P1), pages 820-829.
    3. Soares, João & Borges, Nuno & Fotouhi Ghazvini, Mohammad Ali & Vale, Zita & de Moura Oliveira, P.B., 2016. "Scenario generation for electric vehicles' uncertain behavior in a smart city environment," Energy, Elsevier, vol. 111(C), pages 664-675.

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