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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

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  • Yilmaz, S.
  • Majcen, D.
  • Heidari, M.
  • Mahmoodi, J.
  • Brosch, T.
  • Patel, M.K.

Abstract

This paper presents the development and application of a dynamic model which allows to quantify the changes in the number of white goods in stock, the related evolution of energy efficiency as well as the changes/projections of electricity consumption in the next 20 years using data from Switzerland. According to the “reference scenario” based on observed market trends the electricity demand of white goods is expected to decrease by 8% between 2015 and 2035. The analysis shows that this is the combined result of having more energy efficient appliances in the stock, a higher appliance ownership level, and an increased number of dwellings. The “maximum efficiency” scenario based on new technologies shows an electricity saving potential of white goods of 25%. These findings confirm that energy efficiency standards and labelling can be effective instruments for achieving energy and CO2 emissions reduction targets. The assessment for cost effectiveness indicates the current limited scope for economically viable energy efficiency improvements of white goods, while novel technological solutions are likely to expand the economic energy efficiency potential. Since white goods and their components are mass-produced and traded internationally, similar findings can be expected for other countries with comparable legislation (e.g. EU member states) but country-specific analyses are nevertheless recommended.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:239:y:2019:i:c:p:117-132
    DOI: 10.1016/j.apenergy.2019.01.137
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    Cited by:

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    2. Yilmaz, S. & Rinaldi, A. & Patel, M.K., 2020. "DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)?," Energy Policy, Elsevier, vol. 139(C).
    3. Woojae Kim & Sungmin Ko & Myoungjin Oh & Ie-jung Choi & Jungwoo Shin, 2019. "Is an Incentive Policy for Energy Efficient Products Effective for Air Purifiers? The Case of South Korea," Energies, MDPI, vol. 12(9), pages 1-14, May.
    4. Obalanlege, Mustapha A. & Mahmoudi, Yasser & Douglas, Roy & Bailie, David & Davidson, John, 2020. "Experimental assessment of short cycling in a hybrid photovoltaic-thermal heat pump system," Applied Energy, Elsevier, vol. 268(C).
    5. Ma, Minda & Ma, Xin & Cai, Wei & Cai, Weiguang, 2020. "Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak," Applied Energy, Elsevier, vol. 273(C).
    6. Hamed, Mohammad M. & Ali, Hesham & Abdelal, Qasem, 2022. "Forecasting annual electric power consumption using a random parameters model with heterogeneity in means and variances," Energy, Elsevier, vol. 255(C).
    7. Paola Rocchi & José Manuel Rueda-Cantuche & Alicia Boyano & Alejandro Villanueva, 2019. "Macroeconomic Effects of EU Energy Efficiency Regulations on Household Dishwashers, Washing Machines and Washer Dryers," Energies, MDPI, vol. 12(22), pages 1-21, November.
    8. Schleich, Joachim & Durand, Antoine & Brugger, Heike, 2021. "How effective are EU minimum energy performance standards and energy labels for cold appliances?," Energy Policy, Elsevier, vol. 149(C).

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