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Do energy retrofits work? Evidence from commercial and residential buildings in Phoenix

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  • Liang, Jing
  • Qiu, Yueming
  • James, Timothy
  • Ruddell, Benjamin L.
  • Dalrymple, Michael
  • Earl, Stevan
  • Castelazo, Alex

Abstract

There is an ongoing debate whether energy efficiency retrofits save energy in practice. This paper quantifies the energy savings of the Energize Phoenix program in Phoenix, Arizona. Impacts of retrofits are analyzed using pre-post treatment billing data from January 2008 to April 2013, covering 201 residential buildings and 636 commercial buildings. There are five types of retrofits for residential buildings and six types for commercial buildings. Empirical results from fixed effects panel regression models indicate monthly energy savings of 12% for commercial buildings and 8% for residential buildings. The realized energy savings are 30–50% lower than those predicted by engineering models. We have also separated the energy savings provided by individual retrofits and retrofit bundles, and estimate how the effectiveness of retrofits varies based on building attributes, all of which should be considered when making energy efficiency decisions. Learning effects are also observed in this program, which means as the post-retrofit time increases, there is a possibility for improved learning and control of energy use.

Suggested Citation

  • Liang, Jing & Qiu, Yueming & James, Timothy & Ruddell, Benjamin L. & Dalrymple, Michael & Earl, Stevan & Castelazo, Alex, 2018. "Do energy retrofits work? Evidence from commercial and residential buildings in Phoenix," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 726-743.
  • Handle: RePEc:eee:jeeman:v:92:y:2018:i:c:p:726-743
    DOI: 10.1016/j.jeem.2017.09.001
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    Cited by:

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    9. Wang, Zhaohua & Liu, Qiang & Zhang, Bin, 2022. "What kinds of building energy-saving retrofit projects should be preferred? Efficiency evaluation with three-stage data envelopment analysis (DEA)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    10. Xingchi Shen & Yueming Lucy Qiu & Pengfei Liu & Anand Patwardhan, 2022. "The Effect of Rebate and Loan Incentives on Residential Heat Pump Adoption: Evidence from North Carolina," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(3), pages 741-789, July.
    11. Lang, Ghislaine & Lanz, Bruno, 2021. "Energy efficiency, information, and the acceptability of rent increases: A survey experiment with tenants," Energy Economics, Elsevier, vol. 95(C).
    12. Khadidja Rahmani & Atef Ahriz & Nahla Bouaziz, 2022. "Development of a New Residential Energy Management Approach for Retrofit and Transition, Based on Hybrid Energy Sources," Sustainability, MDPI, vol. 14(7), pages 1-23, March.
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    14. Hadush Meles, Tensay & Farrell, Niall & Curtis, John, 2023. "Are energy performance certificates a strong predictor of actual energy use? Evidence from high-frequency thermostat panel data," Papers WP749, Economic and Social Research Institute (ESRI).
    15. Hammerle, Mara & Burke, Paul J., 2022. "From natural gas to electric appliances: Energy use and emissions implications in Australian homes," Energy Economics, Elsevier, vol. 110(C).
    16. Abdurahman Alrobaie & Moncef Krarti, 2022. "A Review of Data-Driven Approaches for Measurement and Verification Analysis of Building Energy Retrofits," Energies, MDPI, vol. 15(21), pages 1-30, October.
    17. Lang, Ghislaine & Lanz, Bruno, 2022. "Climate policy without a price signal: Evidence on the implicit carbon price of energy efficiency in buildings," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    18. Antonella Priarone & Federico Silenzi & Marco Fossa, 2020. "Modelling Heat Pumps with Variable EER and COP in EnergyPlus: A Case Study Applied to Ground Source and Heat Recovery Heat Pump Systems," Energies, MDPI, vol. 13(4), pages 1-22, February.
    19. Lai, Yuan & Papadopoulos, Sokratis & Fuerst, Franz & Pivo, Gary & Sagi, Jacob & Kontokosta, Constantine E., 2022. "Building retrofit hurdle rates and risk aversion in energy efficiency investments," Applied Energy, Elsevier, vol. 306(PB).
    20. Yujie Xu & Vivian Loftness & Edson Severnini, 2021. "Using Machine Learning to Predict Retrofit Effects for a Commercial Building Portfolio," Energies, MDPI, vol. 14(14), pages 1-24, July.
    21. Bosco, Maria Giovanna & Valeriani, Elisa, 2023. "Energy retrofitting of firms after a natural disaster: A ‘build back better’ strategy," Energy Policy, Elsevier, vol. 179(C).

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    More about this item

    Keywords

    Q41; Q49; R22; Energy efficiency; Retrofits; Energy savings; Fixed effects; Residential buildings; Commercial buildings;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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