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Efficiency Gap Caused by the Input Data in Evaluating Energy Efficiency of Low-Income Households’ Energy Retrofit Program

Author

Listed:
  • Joowook Kim

    (Center for Built Environment, Sungkyunkwan University, Suwon 16419, Korea)

  • Jemin Myoung

    (R&D center, LG Hausys, 30 Magokjungang 10-ro, Gangseo-gu, Seoul 07796, Korea)

  • Hyunwoo Lim

    (Ecotope, Inc. 1917 1st Ave., Seattle, WA 98101, USA)

  • Doosam Song

    (School of Civil, Architectural Eng., and Landscape Architecture, Sungkyunkwan University, Suwon 16419, Korea)

Abstract

Energy efficiency policies are made to reduce the energy necessary to achieve a given level of indoor heating and to decrease the greenhouse gas emission worldwide. National and state regulators routinely tighten the energy efficiency building code appliance standards. In particular, for low-income households, the government has been implementing an energy efficiency program, and the most common measures include furnace replacement, attic and wall insulation, and infiltration reduction. The belief that the energy efficiency programs are beneficial and lead to energy reductions often fails, which is known as the ‘efficiency gap.’ This paper analyzed the effect of input data in calculating the energy savings of the energy efficiency program for low-income households as a cause of the energy efficiency gap in energy efficiency treatments for low-income households. According to the retrofit of the low-income household, the energy saving effect predicted through the input data of detailed measurement was 65%, which was higher than 41% of the conventional prediction method (walk-through audit). The resulting greenhouse gas (GHG) reduction effect was also the same as the energy savings, and the results predicted by the existing prediction methods were less predicted than the detailed measurement results.

Suggested Citation

  • Joowook Kim & Jemin Myoung & Hyunwoo Lim & Doosam Song, 2020. "Efficiency Gap Caused by the Input Data in Evaluating Energy Efficiency of Low-Income Households’ Energy Retrofit Program," Sustainability, MDPI, vol. 12(7), pages 1-11, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2774-:d:339893
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    References listed on IDEAS

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    1. Taehyoung Kim & Chang U. Chae, 2016. "Evaluation Analysis of the CO 2 Emission and Absorption Life Cycle for Precast Concrete in Korea," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
    2. Jordaan, Sarah M. & Romo-Rabago, Elizabeth & McLeary, Romaine & Reidy, Luke & Nazari, Jamal & Herremans, Irene M., 2017. "The role of energy technology innovation in reducing greenhouse gas emissions: A case study of Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1397-1409.
    3. Milne, Geoffrey & Boardman, Brenda, 2000. "Making cold homes warmer: the effect of energy efficiency improvements in low-income homes A report to the Energy Action Grants Agency Charitable Trust," Energy Policy, Elsevier, vol. 28(6-7), pages 411-424, June.
    4. Jisoo Shim & Doosam Song & Joowook Kim, 2018. "The Economic Feasibility of Passive Houses in Korea," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    5. Meredith Fowlie & Michael Greenstone & Catherine Wolfram, 2018. "Do Energy Efficiency Investments Deliver? Evidence from the Weatherization Assistance Program," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1597-1644.
    6. Scott, Susan & Lyons, Sean & Keane, Claire & McCarthy, Donal & Tol, Richard S. J., 2008. "Fuel Poverty in Ireland: Extent, Affected Groups and Policy Issues," Papers WP262, Economic and Social Research Institute (ESRI).
    7. Sowoo Park & Joowook Kim & Doosam Song, 2019. "The Effect of an Energy Refurbishment Scheme on Adequate Warmth in Low-income Dwellings," Sustainability, MDPI, vol. 11(9), pages 1-13, May.
    8. Kelly, Scott & Crawford-Brown, Doug & Pollitt, Michael G., 2012. "Building performance evaluation and certification in the UK: Is SAP fit for purpose?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6861-6878.
    9. Koo, Choongwan & Hong, Taehoon & Lee, Minhyun & Seon Park, Hyo, 2014. "Development of a new energy efficiency rating system for existing residential buildings," Energy Policy, Elsevier, vol. 68(C), pages 218-231.
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    Cited by:

    1. Younhee Choi & Younghoon Lim & Joowook Kim & Doosam Song, 2020. "Why Does a High Humidity Level Form in Low-Income Households Despite Low Water Vapor Generation?," Sustainability, MDPI, vol. 12(18), pages 1-16, September.

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