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The International Database of Efficient Appliances (IDEA): A new tool to support appliance energy-efficiency deployment

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  • Gerke, Brian F.
  • McNeil, Michael A.
  • Tu, Thomas

Abstract

Appliance energy-efficiency programs are a central component of many countries’ energy-policy portfolios. A major barrier to optimal implementation of these programs is lack of data to determine market baselines, assess the potential for cost-effective energy savings, and track markets over time to evaluate and verify program impacts. To address this gap, we have developed the International Database of Efficient Appliances (IDEA), a suite of software tools that automatically gathers data that is currently dispersed across various online sources and compiles it into a unified repository of information on efficiency, price, and features for a diversity of appliances and devices in markets around the world. In this article we describe the framework and functionality of IDEA, and we demonstrate its power as a resource for research and policy development related to appliance energy efficiency. Using IDEA data for refrigerators in China and India, we assess the potential for cost-effective energy savings within each market by computing robust indicators that can also be easily compared across different appliances and markets. We find that significant cost-effective savings are available on both markets. We discuss implications for the development of future energy-efficiency deployment programs.

Suggested Citation

  • Gerke, Brian F. & McNeil, Michael A. & Tu, Thomas, 2017. "The International Database of Efficient Appliances (IDEA): A new tool to support appliance energy-efficiency deployment," Applied Energy, Elsevier, vol. 205(C), pages 453-464.
    • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:453-464
    DOI: 10.1016/j.apenergy.2017.07.093
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    1. ARTHUR Rosenfeld & CELINA Atkinson & JONATHAN Koomey & ALAN Meier & ROBERT J. Mowris & LYNN PRICE, 1993. "Conserved Energy Supply Curves For U.S. Buildings," Contemporary Economic Policy, Western Economic Association International, vol. 11(1), pages 45-68, January.
    2. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    3. Meier, Alan & Rosenfeld, Arthur H. & Wright, Janice, 1982. "Supply curves of conserved energy for California's residential sector," Energy, Elsevier, vol. 7(4), pages 347-358.
    4. McNeil, Michael A. & Bojda, Nicholas, 2012. "Cost-effectiveness of high-efficiency appliances in the U.S. residential sector: A case study," Energy Policy, Elsevier, vol. 45(C), pages 33-42.
    5. Sébastien Houde and C. Anna Spurlock, 2016. "Minimum Energy Efficiency Standards for Appliances: Old and New Economic Rationales," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    6. Desroches, Louis-Benoit & Garbesi, Karina & Kantner, Colleen & Van Buskirk, Robert & Yang, Hung-Chia, 2013. "Incorporating experience curves in appliance standards analysis," Energy Policy, Elsevier, vol. 52(C), pages 402-416.
    7. 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.
    8. Dale, Larry & Antinori, Camille & McNeil, Michael & McMahon, James E. & Sydny Fujita, K., 2009. "Retrospective evaluation of appliance price trends," Energy Policy, Elsevier, vol. 37(2), pages 597-605, February.
    9. Touzani, Samir & Van Buskirk, Robert, 2016. "Estimating sales and sales market share from sales rank data for consumer appliances," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 266-276.
    10. Alberto Cavallo & Brent Neiman & Roberto Rigobon, 2014. "Currency Unions, Product Introductions, and the Real Exchange Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 529-595.
    11. Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
    12. McNeil, Michael A. & Iyer, Maithili & Meyers, Stephen & Letschert, Virginie E. & McMahon, James E., 2008. "Potential benefits from improved energy efficiency of key electrical products: The case of India," Energy Policy, Elsevier, vol. 36(9), pages 3467-3476, September.
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    2. Ryszard Dindorf & Jakub Takosoglu & Piotr Wos, 2023. "Review of Hydro-Pneumatic Accumulator Models for the Study of the Energy Efficiency of Hydraulic Systems," Energies, MDPI, vol. 16(18), pages 1-45, September.
    3. Agyarko, Kofi A. & Opoku, Richard & Van Buskirk, Robert, 2020. "Removing barriers and promoting demand-side energy efficiency in households in Sub-Saharan Africa: A case study in Ghana," Energy Policy, Elsevier, vol. 137(C).
    4. Safarzadeh, Soroush & Rasti-Barzoki, Morteza, 2019. "A game theoretic approach for assessing residential energy-efficiency program considering rebound, consumer behavior, and government policies," Applied Energy, Elsevier, vol. 233, pages 44-61.
    5. Klinar, Katja & Tomc, Urban & Jelenc, Blaž & Nosan, Simon & Kitanovski, Andrej, 2019. "New frontiers in magnetic refrigeration with high oscillation energy-efficient electromagnets," Applied Energy, Elsevier, vol. 236(C), pages 1062-1077.
    6. Paula M. Wenzel & Marc Mühlen & Peter Radgen, 2023. "Free Cooling for Saving Energy: Technical Market Analysis of Dry, Wet, and Hybrid Cooling Based on Manufacturer Data," Energies, MDPI, vol. 16(9), pages 1-27, April.
    7. Jain, Manisha & Rao, Anand B. & Patwardhan, Anand, 2018. "Appliance labeling and consumer heterogeneity: A discrete choice experiment in India," Applied Energy, Elsevier, vol. 226(C), pages 213-224.
    8. Karali, Nihan & Shah, Nihar & Park, Won Young & Khanna, Nina & Ding, Chao & Lin, Jiang & Zhou, Nan, 2020. "Improving the energy efficiency of room air conditioners in China: Costs and benefits," Applied Energy, Elsevier, vol. 258(C).

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