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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. 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.
    2. Yilmaz, S. & Majcen, D. & Heidari, M. & Mahmoodi, J. & Brosch, T. & Patel, M.K., 2019. "Analysis of the impact of energy efficiency labelling and potential changes on electricity demand reduction of white goods using a stock model: The case of Switzerland," Applied Energy, Elsevier, vol. 239(C), pages 117-132.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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).
    8. 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.

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