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The effect of daylight saving time options on electricity consumption of Turkey

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  • Karasu, Servet

Abstract

Most of the developed countries in the world use Daylight Saving Time (DST) as an energy conservation method. This study focuses on the effects of DST on electrical lighting in the buildings in Turkey. Turkey might adjust its daylight saving time to decrease energy consumption. For this purpose, five scenarios are considered and compared to status quo. The scenario with a 30-minute forward shift to single DST from April to October, stands out as the best solution to conserve electricity across the entire country. The results of the study show that maximum saving is obtained in this scenario by at least 0.7% on the consumption of lighting electricity.

Suggested Citation

  • Karasu, Servet, 2010. "The effect of daylight saving time options on electricity consumption of Turkey," Energy, Elsevier, vol. 35(9), pages 3773-3782.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:9:p:3773-3782
    DOI: 10.1016/j.energy.2010.05.027
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    References listed on IDEAS

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    Cited by:

    1. López, Miguel, 2020. "Daylight effect on the electricity demand in Spain and assessment of Daylight Saving Time policies," Energy Policy, Elsevier, vol. 140(C).
    2. Hugo Salas & Pedro Ignacio Hancevic, 2023. "The unexpected effects of daylight-saving time: Traffic accidents in Mexican municipalities," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 20(1), pages 1-29, Enero-Jun.
    3. Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2016. "Does Daylight Saving Save Energy? A Meta-Analysis," MPRA Paper 74518, University Library of Munich, Germany.
    4. Tomas Havranek & Dominik Herman & Zuzana Irsova, 2018. "Does Daylight Saving Save Electricity? A Meta-Analysis," The Energy Journal, , vol. 39(2), pages 35-61, March.
    5. Kudela, Peter & Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2020. "Does daylight saving time save electricity? Evidence from Slovakia," Energy Policy, Elsevier, vol. 137(C).
    6. Satish Suresh Tanavade & Ganesh Nagraj Patil & C. V. Sudhir & A. M. Saravanan, 2023. "Strategic Energy Management and Carbon Footprint Reduction in University Campuses: A Comprehensive Review," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 15-27, November.
    7. Mirza, Faisal Mehmood & Bergland, Olvar, 2011. "The impact of daylight saving time on electricity consumption: Evidence from southern Norway and Sweden," Energy Policy, Elsevier, vol. 39(6), pages 3558-3571, June.
    8. Flores, Daniel & Luna, Edgar M., 2019. "An econometric evaluation of daylight saving time in Mexico," Energy, Elsevier, vol. 187(C).
    9. Ganesh Nagraj Patil & Satish Suresh Tanavade, 2024. "Eco-Friendly Energy Efficient Classrooms and Sustainable Campus Strategies: A Case Study on Energy Management and Carbon Footprint Reduction," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 188-197, May.
    10. Mavromatidis, Lazaros Elias & Marsault, Xavier & Lequay, Hervé, 2014. "Daylight factor estimation at an early design stage to reduce buildings' energy consumption due to artificial lighting: A numerical approach based on Doehlert and Box–Behnken designs," Energy, Elsevier, vol. 65(C), pages 488-502.
    11. Hancevic, Pedro & Margulis, Diego, 2016. "Daylight saving time and energy consumption: The case of Argentina," MPRA Paper 80481, University Library of Munich, Germany.
    12. Uzlu, Ergun & Akpınar, Adem & Özturk, Hasan Tahsin & Nacar, Sinan & Kankal, Murat, 2014. "Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey," Energy, Elsevier, vol. 69(C), pages 638-647.
    13. Li, Danny H.W. & Chau, Natalie T.C. & Wan, Kevin K.W., 2013. "Predicting daylight illuminance and solar irradiance on vertical surfaces based on classified standard skies," Energy, Elsevier, vol. 53(C), pages 252-258.
    14. Uzlu, Ergun & Kankal, Murat & Akpınar, Adem & Dede, Tayfun, 2014. "Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm," Energy, Elsevier, vol. 75(C), pages 295-303.
    15. Bergland, Olvar & Mirza, Faisal, 2017. "Latitudinal Effect on Energy Savings from Daylight Savings Time," Working Paper Series 08-2017, Norwegian University of Life Sciences, School of Economics and Business.

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