Research Article
BibTex RIS Cite

Türkiye'deki Müşterilerin Akıllı Şebekelerde Yük Kaydırmaya Dayalı Talep Tarafı Yönetimine Tepkileri

Year 2020, Volume: 10 Issue: 2, 395 - 416, 15.12.2020
https://doi.org/10.31466/kfbd.818410

Abstract

Akıllı şebeke üzerine teknik çalışmalar tüm dünyada ve Türkiye’de devam etmektedir. Akıllı şebekeleri geleneksel şebekelerden ayıran en önemli özelliklerden birisi, akıllı şebekelerin dağıtık üretim yapısına sahip olmasıdır. Bu nedenle talep tarafı yönetimi günümüzün dağıtım şebekelerinde öne çıkan araştırma konularından biridir. Geleneksel şebekelerdeki “tüketime göre üretim” yaklaşımı yerine akıllı şebekelerde, talep tarafı yönetimi ile “üretime göre tüketim” yaklaşımı benimsenmektedir. Akıllı şebeke ve talep tarafı yönetimi üzerine teknik ve akademik çalışmalar yapılırken, akıllı şebekelerin uygulama safhasında önemli paydaşlarından biri olan tüketicilerin akıllı şebekelere ve talep tarafı yönetimine ilişkin tutumlarının araştırılması önem arz etmektedir. Bu çalışmada, Türkiye'deki müşterilerin akıllı şebekelerde yük kaydırmaya dayalı talep tarafı yönetimine yönelik tepkileri ve tutumları, İstanbul'da gerçekleştirilen bir kamuoyu araştırmasının (anket) sonuçları kullanılarak sunulmuştur. Sunulan sonuçlar, anket verilerinin istatistiksel frekans analizine tabi tutulmasıyla elde edilmiştir. Elde edilen bulgular Türkiye’de akıllı şebeke çalışmalarının ve talep tarafı yönetimi politikalarının geliştirilmesine katkı sağlayacaktır.

References

  • Akalın, M. (2015). Anket: örnek açıklamalarıyla sosyal bilimlerde araştırma tekniği. Ankara: Seçkin Yayıncılık.
  • Altaş, İ. H., and Çakmak, R., (2020). A fuzzy decision maker to determine optimal starting time of shiftable loads in the smart grids. International Journal of Reasoning-based Intelligent Systems, 12(3), 210-216.
  • Altunışık, R., Coşkun, R., Bayraktaroğlu, S., ve Yıldırım, E., (2007). Sosyal bilimlerde araştırma yöntemleri. Sakarya: Sakarya Yayıncılık.
  • Arıkan, R. (2013). Anketler ve Anket Soruları. Ankara: Nobel Yayınları.
  • Back, A. K., Evens, C., Hukki, K., Manner, P., Niska, H., Pykälä, M. L., Saarenpää, J. and Similä, L., (2011). Consumer acceptability and adoption of Smart Grid. SGEM Research Report D1.2: Cleen Ltd.
  • Cardell, J., and Tabors, R., (1997). Operation and control in a competitive market: distributed generation in a restructured industry. The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 111-136.
  • Çakmak, R., and Altaş, İ. H. (2017, December). Optimal scheduling of time shiftable loads in a task scheduling based demand response program by symbiotic organisms search algorithm. 2017 Saudi Arabia Smart Grid (SASG 2017) (pp. 1-7). IEEE.
  • Çakmak, R., and Altaş, İ. H., (2020). A novel billing approach for fair and effective demand side management: Appliance level billing (AppLeBill). International Journal of Electrical Power & Energy Systems, 121, 106062.
  • Çilingir, Z., ve Yıldız, S., (2010). Tüketicilerin Ürünlere Olan İlgileniminin Marka Sadakati Üzerindeki Etkisi: Sembolik Nitelikteki Bir Ürün Grubu İçin İstanbul İli Pilot Çalışması. Uluslararası Yönetim İktisat ve İşletme Dergisi, 6(11), 79-100.
  • Davito, B., Tai, H., and Uhlaner, R., (2010). The smart grid and the promise of demand-side management. McKinsey on Smart Grid, 3, 8-44.
  • Di Giorgio, A., & Pimpinella, L., (2012). An event driven smart home controller enabling consumer economic saving and automated demand side management. Applied Energy, 96, 92-103.
  • Gelazanskas, L., and Gamage, K. A., (2014). Demand side management in smart grid: A review and proposals for future direction. Sustainable Cities and Society, 11, 22-30.
  • Gellings, C. W. (1985). The concept of demand-side management for electric utilities. Proceedings of the IEEE, 73(10), 1468-1470.
  • IEA (International Energy Agency), (2016). World Energy Outlook 2016, IEA Publications, Paris, 2016.
  • Joshi, A., Kale, S., Chandel, S., and Pal, D. K. (2015). Likert Scale: Explored and Explained. Current Journal of Applied Science and Technology, 7(4), 396-403.
  • Liu, Y., Yuen, C., Huang, S., Hassan, N. U., Wang, X., & Xie, S. (2014). Peak-to-average ratio constrained demand-side management with consumer's preference in residential smart grid. IEEE Journal of Selected Topics in Signal Processing, 8(6), 1084-1097.
  • Mert, W., Suschek-Berger, J., and Tritthart, W., (2008). Consumer acceptance of smart appliances. Smart domestic appliances in sustainable energy systems (Smart-A).
  • Mert, W., and Tritthart, W., (2009, November). Get smart! Consumer acceptance and restrictions of Smart Domestic Appliances in Sustainable Energy Systems. In TRANSPOSE Midterm Conference (pp.1-21). Institut für Politikwissenschaft der Westfälischen Wilhelms-Universität Münster.
  • Mohsenian-Rad, A. H., Wong, V. W., Jatskevich, J., Schober, R., and Leon-Garcia, A., (2010). Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE transactions on Smart Grid, 1(3), 320-331.
  • Moura, P. S., and De Almeida, A. T., (2010). The role of demand-side management in the grid integration of wind power. Applied Energy, 87(8), 2581-2588.
  • Oseni, M. O., Pollitt, M. G., Retner, D. M., Richter, L. L., Chyong, K., & Baddeley, M., (2013). 2013 EPRG Public Opinion Survey: Smart Energy Survey—Attitudes and Behaviours (No. 1352). Faculty of Economics, University of Cambridge.
  • Park, E. S., Hwang, B., Ko, K., and Kim, D., (2017). Consumer acceptance analysis of the home energy management system. Sustainability, 9(12), 2351.
  • Shahnia, F., Wishart, M. T., Ghosh, A., Ledwich, G., and Zare, F., (2012). Smart demand side management of low-voltage distribution networks using multi-objective decision making. IET generation, transmission & distribution, 6(10), 986-1000.
  • Spence, A., Demski, C., Butler, C., Parkhill, K., and Pidgeon, N. (2015). Public perceptions of demand-side management and a smarter energy future. Nature Climate Change, 5(6), 550-554.
  • Stadler, I. (2008). Power grid balancing of energy systems with high renewable energy penetration by demand response. Utilities Policy, 16(2), 90-98.
  • Uddin, M., Romlie, M. F., Abdullah, M. F., Abd Halim, S., and Kwang, T. C., (2018). A review on peak load shaving strategies. Renewable and Sustainable Energy Reviews, 82, 3323-3332.
  • Verbong, G. P., Beemsterboer, S., and Sengers, F., (2013). Smart grids or smart users? Involving users in developing a low carbon electricity economy. Energy policy, 52, 117-125.
  • Wissner, M. (2011). The Smart Grid–A saucerful of secrets?. Applied Energy, 88(7), 2509-2518.
  • Xu, T., and Taylor, P. C., (2008). Voltage control techniques for electrical distribution networks including distributed generation. IFAC Proceedings Volumes, 41(2), 11967-11971.
  • Yıldız, S., (2011). Elektronik hizmet marka değerini etkileyen faktörler: Elektronik hizmet müşterileri üzerine bir uygulama. Doktora Tezi, Karadeniz Teknik Üniversitesi, Sosyal Bilimler Enstitüsü.

The Reactions of Customers in Turkey Towards Load Shifting Based Demand Side Management in Smart Grids

Year 2020, Volume: 10 Issue: 2, 395 - 416, 15.12.2020
https://doi.org/10.31466/kfbd.818410

Abstract

Technical studies on smart grids have been underway all over the world and in Turkey. One of the most important features that distinguishes the smart grids from conventional electrical grids the distributed generation structure of the smart grids. Therefore, demand side management (DSM) studies are one of the prominent research topics in today’s power distribution networks. In the smart grids, “consumption follows generation” paradigm is adopted by means of DSM instead of the “generation follows consumption” paradigm in conventional electrical grids. While progressing technical and academic studies on the smart grid and demand-side management, it is important to investigate the perspective of consumers, who are one of the important stakeholders in the implementation phase of the smart grids. In this study, reactions and attitudes of customers in Turkey towards load shifting based demand side management in the smart grids are presented using results of a public survey, which is implemented in Istanbul. The presented results are obtained through statistical frequency analysis of the public survey data. The findings would contribute to the development of the smart grid studies and demand-side management policies in Turkey.

References

  • Akalın, M. (2015). Anket: örnek açıklamalarıyla sosyal bilimlerde araştırma tekniği. Ankara: Seçkin Yayıncılık.
  • Altaş, İ. H., and Çakmak, R., (2020). A fuzzy decision maker to determine optimal starting time of shiftable loads in the smart grids. International Journal of Reasoning-based Intelligent Systems, 12(3), 210-216.
  • Altunışık, R., Coşkun, R., Bayraktaroğlu, S., ve Yıldırım, E., (2007). Sosyal bilimlerde araştırma yöntemleri. Sakarya: Sakarya Yayıncılık.
  • Arıkan, R. (2013). Anketler ve Anket Soruları. Ankara: Nobel Yayınları.
  • Back, A. K., Evens, C., Hukki, K., Manner, P., Niska, H., Pykälä, M. L., Saarenpää, J. and Similä, L., (2011). Consumer acceptability and adoption of Smart Grid. SGEM Research Report D1.2: Cleen Ltd.
  • Cardell, J., and Tabors, R., (1997). Operation and control in a competitive market: distributed generation in a restructured industry. The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 111-136.
  • Çakmak, R., and Altaş, İ. H. (2017, December). Optimal scheduling of time shiftable loads in a task scheduling based demand response program by symbiotic organisms search algorithm. 2017 Saudi Arabia Smart Grid (SASG 2017) (pp. 1-7). IEEE.
  • Çakmak, R., and Altaş, İ. H., (2020). A novel billing approach for fair and effective demand side management: Appliance level billing (AppLeBill). International Journal of Electrical Power & Energy Systems, 121, 106062.
  • Çilingir, Z., ve Yıldız, S., (2010). Tüketicilerin Ürünlere Olan İlgileniminin Marka Sadakati Üzerindeki Etkisi: Sembolik Nitelikteki Bir Ürün Grubu İçin İstanbul İli Pilot Çalışması. Uluslararası Yönetim İktisat ve İşletme Dergisi, 6(11), 79-100.
  • Davito, B., Tai, H., and Uhlaner, R., (2010). The smart grid and the promise of demand-side management. McKinsey on Smart Grid, 3, 8-44.
  • Di Giorgio, A., & Pimpinella, L., (2012). An event driven smart home controller enabling consumer economic saving and automated demand side management. Applied Energy, 96, 92-103.
  • Gelazanskas, L., and Gamage, K. A., (2014). Demand side management in smart grid: A review and proposals for future direction. Sustainable Cities and Society, 11, 22-30.
  • Gellings, C. W. (1985). The concept of demand-side management for electric utilities. Proceedings of the IEEE, 73(10), 1468-1470.
  • IEA (International Energy Agency), (2016). World Energy Outlook 2016, IEA Publications, Paris, 2016.
  • Joshi, A., Kale, S., Chandel, S., and Pal, D. K. (2015). Likert Scale: Explored and Explained. Current Journal of Applied Science and Technology, 7(4), 396-403.
  • Liu, Y., Yuen, C., Huang, S., Hassan, N. U., Wang, X., & Xie, S. (2014). Peak-to-average ratio constrained demand-side management with consumer's preference in residential smart grid. IEEE Journal of Selected Topics in Signal Processing, 8(6), 1084-1097.
  • Mert, W., Suschek-Berger, J., and Tritthart, W., (2008). Consumer acceptance of smart appliances. Smart domestic appliances in sustainable energy systems (Smart-A).
  • Mert, W., and Tritthart, W., (2009, November). Get smart! Consumer acceptance and restrictions of Smart Domestic Appliances in Sustainable Energy Systems. In TRANSPOSE Midterm Conference (pp.1-21). Institut für Politikwissenschaft der Westfälischen Wilhelms-Universität Münster.
  • Mohsenian-Rad, A. H., Wong, V. W., Jatskevich, J., Schober, R., and Leon-Garcia, A., (2010). Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE transactions on Smart Grid, 1(3), 320-331.
  • Moura, P. S., and De Almeida, A. T., (2010). The role of demand-side management in the grid integration of wind power. Applied Energy, 87(8), 2581-2588.
  • Oseni, M. O., Pollitt, M. G., Retner, D. M., Richter, L. L., Chyong, K., & Baddeley, M., (2013). 2013 EPRG Public Opinion Survey: Smart Energy Survey—Attitudes and Behaviours (No. 1352). Faculty of Economics, University of Cambridge.
  • Park, E. S., Hwang, B., Ko, K., and Kim, D., (2017). Consumer acceptance analysis of the home energy management system. Sustainability, 9(12), 2351.
  • Shahnia, F., Wishart, M. T., Ghosh, A., Ledwich, G., and Zare, F., (2012). Smart demand side management of low-voltage distribution networks using multi-objective decision making. IET generation, transmission & distribution, 6(10), 986-1000.
  • Spence, A., Demski, C., Butler, C., Parkhill, K., and Pidgeon, N. (2015). Public perceptions of demand-side management and a smarter energy future. Nature Climate Change, 5(6), 550-554.
  • Stadler, I. (2008). Power grid balancing of energy systems with high renewable energy penetration by demand response. Utilities Policy, 16(2), 90-98.
  • Uddin, M., Romlie, M. F., Abdullah, M. F., Abd Halim, S., and Kwang, T. C., (2018). A review on peak load shaving strategies. Renewable and Sustainable Energy Reviews, 82, 3323-3332.
  • Verbong, G. P., Beemsterboer, S., and Sengers, F., (2013). Smart grids or smart users? Involving users in developing a low carbon electricity economy. Energy policy, 52, 117-125.
  • Wissner, M. (2011). The Smart Grid–A saucerful of secrets?. Applied Energy, 88(7), 2509-2518.
  • Xu, T., and Taylor, P. C., (2008). Voltage control techniques for electrical distribution networks including distributed generation. IFAC Proceedings Volumes, 41(2), 11967-11971.
  • Yıldız, S., (2011). Elektronik hizmet marka değerini etkileyen faktörler: Elektronik hizmet müşterileri üzerine bir uygulama. Doktora Tezi, Karadeniz Teknik Üniversitesi, Sosyal Bilimler Enstitüsü.
There are 30 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Recep Çakmak 0000-0002-6467-6240

İsmail Altaş 0000-0001-9298-4091

Publication Date December 15, 2020
Published in Issue Year 2020 Volume: 10 Issue: 2

Cite

APA Çakmak, R., & Altaş, İ. (2020). Türkiye’deki Müşterilerin Akıllı Şebekelerde Yük Kaydırmaya Dayalı Talep Tarafı Yönetimine Tepkileri. Karadeniz Fen Bilimleri Dergisi, 10(2), 395-416. https://doi.org/10.31466/kfbd.818410