IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v59y2013icp762-772.html
   My bibliography  Save this article

The role of experience curves for setting MEPS for appliances

Author

Listed:
  • Siderius, Hans-Paul

Abstract

Minimum efficiency performance standards (MEPS) are an important policy instrument to raise the efficiency of products. In most schemes the concept of life cycle costs (LCC) is used to guide setting the MEPS levels. Although a large body of literature shows that product cost is decreasing with increasing cumulative production, the experience curve, this is currently not used for setting MEPS. This article shows how to integrate the concept of the experience curve into LCC calculations for setting MEPS in the European Union and applies this to household laundry driers, refrigerator-freezers and televisions. The results indicate that for driers and refrigerator-freezers at least twice the energy savings compared to the current approach can be achieved. These products also show that energy label classes can successfully be used for setting MEPS. For televisions an experience curve is provided, showing a learning rate of 29%. However, television prices do not show a relation with energy efficiency but are to a large extent determined by the time the product is placed on the market. This suggests to policy makers that for televisions and other products with a short (re)design and market cycle timing is more important than the MEPS levels itself.

Suggested Citation

  • Siderius, Hans-Paul, 2013. "The role of experience curves for setting MEPS for appliances," Energy Policy, Elsevier, vol. 59(C), pages 762-772.
    • Handle: RePEc:eee:enepol:v:59:y:2013:i:c:p:762-772
    DOI: 10.1016/j.enpol.2013.04.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421513002826
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2013.04.032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Ferioli, F. & Schoots, K. & van der Zwaan, B.C.C., 2009. "Use and limitations of learning curves for energy technology policy: A component-learning hypothesis," Energy Policy, Elsevier, vol. 37(7), pages 2525-2535, July.
    3. Geller, Howard & Harrington, Philip & Rosenfeld, Arthur H. & Tanishima, Satoshi & Unander, Fridtjof, 2006. "Polices for increasing energy efficiency: Thirty years of experience in OECD countries," Energy Policy, Elsevier, vol. 34(5), pages 556-573, March.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bortoni, Edson C. & Magalhães, Leonardo P. & Nogueira, Luiz A.H. & Bajay, Sérgio V. & Cassula, Agnelo M., 2020. "An assessment of energy efficient motors application by scenarios evaluation," Energy Policy, Elsevier, vol. 140(C).
    2. Siderius, Hans-Paul, 2014. "Setting MEPS for electronic products," Energy Policy, Elsevier, vol. 70(C), pages 1-13.
    3. Shi, Xunpeng, 2015. "Application of best practice for setting minimum energy efficiency standards in technically disadvantaged countries: Case study of Air Conditioners in Brunei Darussalam," Applied Energy, Elsevier, vol. 157(C), pages 1-12.
    4. Wei, Max & Smith, Sarah J. & Sohn, Michael D., 2017. "Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US," Applied Energy, Elsevier, vol. 191(C), pages 346-357.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Arias-Gaviria, Jessica & Larsen, Erik R. & Arango-Aramburo, Santiago, 2018. "Understanding the future of Seawater Air Conditioning in the Caribbean: A simulation approach," Utilities Policy, Elsevier, vol. 53(C), pages 73-83.
    3. Wilson, Charlie, 2012. "Up-scaling, formative phases, and learning in the historical diffusion of energy technologies," Energy Policy, Elsevier, vol. 50(C), pages 81-94.
    4. Kelly, Geoff, 2012. "Sustainability at home: Policy measures for energy-efficient appliances," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6851-6860.
    5. Martin Junginger & Wilfried van Sark & André Faaij (ed.), 2010. "Technological Learning in the Energy Sector," Books, Edward Elgar Publishing, number 13741.
    6. Hueppe, Christian & Geppert, Jasmin & Moenninghoff-Juessen, Julia & Wolff, Lena & Stamminger, Rainer & Paul, Andreas & Elsner, Andreas & Vrabec, Jadran & Wagner, Hendrik & Hoelscher, Heike & Becker, W, 2021. "Investigating the real life energy consumption of refrigeration appliances in Germany: Are present policies sufficient?," Energy Policy, Elsevier, vol. 155(C).
    7. 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.
    8. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    9. Arnaud de La Tour & Matthieu Glachant & Yann Ménière, 2013. "What cost for photovoltaic modules in 2020? Lessons from experience curve models," Working Papers hal-00805668, HAL.
    10. Lane, Blake & Kinnon, Michael Mac & Shaffer, Brendan & Samuelsen, Scott, 2022. "Deployment planning tool for environmentally sensitive heavy-duty vehicles and fueling infrastructure," Energy Policy, Elsevier, vol. 171(C).
    11. Sam Hampton & Richard Blundel & Aqueel Wahga & Tina Fawcett & Christopher Shaw, 2022. "Transforming small and medium‐sized enterprises to address the climate emergency: The case for values‐based engagement," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1424-1439, September.
    12. Besagni, Giorgio & Premoli Vilà, Lidia & Borgarello, Marco & Trabucchi, Andrea & Merlo, Marco & Rodeschini, Jacopo & Finazzi, Francesco, 2021. "Electrification pathways of the Italian residential sector under socio-demographic constrains: Looking towards 2040," Energy, Elsevier, vol. 217(C).
    13. Audrey Laude & Christian Jonen, 2011. "Biomass and CCS: The influence of the learning effect," Working Papers halshs-00829779, HAL.
    14. Hong, Junjie & Shi, Fangyuan & Zheng, Yuhan, 2023. "Does network infrastructure construction reduce energy intensity? Based on the “Broadband China” strategy," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    15. Stigson, Peter & Dotzauer, Erik & Yan, Jinyue, 2009. "Improving policy making through government-industry policy learning: The case of a novel Swedish policy framework," Applied Energy, Elsevier, vol. 86(4), pages 399-406, April.
    16. Jun Li & Michel Colombier, 2011. "Economic instruments for mitigating carbon emissions: scaling up carbon finance in China’s buildings sector," Climatic Change, Springer, vol. 107(3), pages 567-591, August.
    17. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
    18. Yao, Xilong & Liu, Yang & Qu, Shiyou, 2015. "When will wind energy achieve grid parity in China? – Connecting technological learning and climate finance," Applied Energy, Elsevier, vol. 160(C), pages 697-704.
    19. Rochedo, Pedro R.R. & Szklo, Alexandre, 2013. "Designing learning curves for carbon capture based on chemical absorption according to the minimum work of separation," Applied Energy, Elsevier, vol. 108(C), pages 383-391.
    20. Strupeit, Lars & Neij, Lena, 2017. "Cost dynamics in the deployment of photovoltaics: Insights from the German market for building-sited systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 948-960.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:59:y:2013:i:c:p:762-772. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.