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İstanbul’da elektrikli araç şarj istasyonlarının konumlandırılması için bir model

Yıl 2019, Cilt: 25 Sayı: 9, 1056 - 1061, 31.12.2019

Büşra Gülnihan Daşçıoğlu Gülfem Tuzkaya Hüseyin Selçuk Kılıç

Öz

Klasik ulaştırma sistemlerinin çevresel kaygıları göz önünde bulundurulduğunda, elektrikli araçlarla (EA) ilgili çalışmalar önem kazanmış ve son yıllarda sayıca artmıştır. Bu noktada ele alınması gereken sorunlardan biri EA’lar için şarj istasyonlarının uygun yerlerinin belirlenmesidir. Bu çalışmanın temel amacı, İstanbul'daki elektrik şarj istasyonlarına ilişkin en uygun konumları yolların akışını değerlendirmeye alarak bulmaktır. Şarj istasyonlarının konumları, yolların kapsanan akışını maksimize etmeyi amaçlayan akış-yakıt ikmal lokasyon modeline dayanan bir model kullanılarak belirlenmiştir. Matematiksel model farklı “p” değerli için çözülmüş ve en iyi lokasyonlar belirlenmiştir.

Anahtar Kelimeler

Akış-yakıt ikmal lokasyon modeli Atama problemi Elektrikli araçlar Elektrik şarj istasyonları

Kaynakça

  • Joint Research Centre. “Emissions Data and Maps”. https://edgar.jrc.ec.europa.eu (01.07.2018).
  • Olivier, JGJ, Schure KM, Peters JAHW. “Trends in global CO2 and total greenhouse gas emissions”. PBL Netherlands Environmental Assessment Agency Report, 2017.
  • Nakata T. “Analysis of the impact of plug-in hybrid vehicles on energy systems in Japan”. Transportation Research: Part D, 5, 373-383, 2017.
  • Rahman I, Vasant PM, Singh BSM, Abdullah-Al-Wadud M, Adnan N. “Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures”. Renewable and Sustainable Energy Reviews, 58, 1039-1047, 2016.
  • Iwata K, Matsumoto S. “Use of plug-in hybrid vehicles in japan: an analysis of used car market data”. Transportation Research, Part D, 46, 200-206, 2016.
  • Türkiye Elektrikli ve Hibrit Araçlar Derneği. “Makaleler”. http://tehad.org (01.10.2018).
  • Gavranovic H, Barut A, Ertek G, Yüzbaşıoğlu OB, Pekpostalcı O, Tombuş Ö. “Optimizing the electric charge station network of EŞARJ”. Procedia Computer Science, 31, 15-21, 2014.
  • Awasthi A, Venkitusamy K, Padmanaban P, Selvamuthukumaran R, Blaabjerg F, Singh AK. “Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm”. Energy, 133, 70-78, 2017.
  • Lee C, Han J. “Benders-and-Price approach for electric vehicle charging station location problem under probabilistic travel range”. Transportation Research, Part B, 106, 130-152, 2017.
  • Hakimi SL. “Optimum locations of switching centers and the absolute centers and medians of a graph”. Operations Research, 12(3), 450-459, 1964.
  • Hodgson MJ. “A flow-capturing location-allocation model”. Geographical Analysis, 22(3), 270-279, 1990.
  • Csonka B, Csiszár C. “Determination of charging infrastructure location for electric vehicles”. Transportation Research Procedia, 27, 768-775, 2017.
  • Chung SH, Kwon C. “Multi-period planning for electric car charging station locations: A case of Korean Expressways”. European Journal of Operational Research, 242, 677-687, 2015.
  • Xylia M, Leduc S, Patrizio P, Kraxner F, Silveria S. “Locating charging infrastructure for electric buses in Stockholm”. Transportation Research, Part C, 78, 183-200, 2017.
  • Polimeni A, Napoli G, Andaloro L, Antonucci V. “Electric vehicle charging infrastructure planning in a road network”. Renewable and Sustainable Energy Reviews, 80, 98-108, 2017.
  • Zhao H, Li N. “Optimal siting of charging stations for electric vehicles based on fuzzy delphi and hybrid multi-criteria decision making approaches from an extended sustainability perspective”. Energies, 9(4), 1-22, 2016.
  • Guler D, Yomralioglu T. “GIS and fuzzy AHP based area selection for electric vehicle charging stations”. ISPRS TC IV Mid-term Symposium on 3D Spatial Information Science – The Engine of Change, Delft, The Netherlands, 01-05 October 2018.
  • Afroditi M, Boile S, Theofanis ES, Margaritis D. “Electric Vehicle Routing Problem with industry constraints: trends and insights for future research”. Transportation Research Procedia, 3, 452-459, 2014.
  • Erbas M, Kabak M, Ozceylan E. “Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis”. Energy, 163, 1017-1031, 2018.
  • Ju Y, Ju D, Gonzalez EDRS, Giannakis M, Wang A. “Study of site selection of electric vehicle charging station based on extended GRP method under picture fuzzy environment”. Computer&Industrial Engineering, 135, 1271-1285, 2019.
  • Liu Q, Liu J, Le W, Guo Z, He Z. “Data-driven intelligent location of public charging stations for electric vehicles”. Journal of Cleaner Production, 232, 531-541, 2019.
  • Zhang Y, Qiu Z, Gao P, Jiang S. “Location model of electric vehicle charging stations”. International Conference on Physics, Mathematics and Statistics, Shanghai, China, 12-14 May 2018.
  • Jochem P, Szimba E, Oppermann M. “How many fast-charging stations do we need along European highways?”. Transportation Research, Part D, 73, 120-129, 2019.
  • Dascıoglu BG, Kalender ZT, Tuzkaya G, Kilic HS. Evaluation of Electric Vehicles Station Locations with an Extended TOPSIS Methodology Using Probabilistic Linguistic Term Sets. Editors: Kahraman C, Cebi S, Cevik Onar S, Oztaysi B, Tolga A, Sari I. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 820-828, Springer, Cham, 2019.
  • Kuby MJ, Lim S. “The flow-refueling location problem for alternative-fuel vehicles”. Socio-Economic Planning Science, 39, 125-145, 2005.
  • Kuby MJ, Lim S. “Location of alternative-fuel stations using the Flow-Refueling Location Model and dispersion of candidate sites on arcs”. Network and Spatial Economics, 7(2), 129-152, 2007.
  • Kuby MJ, Lines L, Schultz R, Xie Z, Kim JG, Lim S. “Optimization of hydrogen stations in Florida using the flow-refueling location model”. International Journal of Hydrogen Energy, 34, 6045-6064, 2009.
  • General Directorate for Highways department. “İstatistikler”. https://www.kgm.gov.tr/.

A model for determining the locations of electric vehicles’ charging stations in Istanbul

Yıl 2019, Cilt: 25 Sayı: 9, 1056 - 1061, 31.12.2019

Büşra Gülnihan Daşçıoğlu Gülfem Tuzkaya Hüseyin Selçuk Kılıç

Öz

The studies about Electric Vehicles (EV) have gained importance and increased in the last years depending on the environmental concerns of the classic transportation systems. One of the problems to consider at this point is locating the proper points of electric charging stations for EVs. The primary objective of this research is to locate the electric charging stations in Istanbul considering the flow of the paths. The locations of electric charging stations are determined by using a mathematical model based on the flow-refuelling location model with the aim of maximizing the captured flow. The mathematical model is run for various values of “p” and the optimum locations are obtained.

Anahtar Kelimeler

Flow-refuelling location model Assignment problem Electric vehicles Electric charging stations

Kaynakça

  • Joint Research Centre. “Emissions Data and Maps”. https://edgar.jrc.ec.europa.eu (01.07.2018).
  • Olivier, JGJ, Schure KM, Peters JAHW. “Trends in global CO2 and total greenhouse gas emissions”. PBL Netherlands Environmental Assessment Agency Report, 2017.
  • Nakata T. “Analysis of the impact of plug-in hybrid vehicles on energy systems in Japan”. Transportation Research: Part D, 5, 373-383, 2017.
  • Rahman I, Vasant PM, Singh BSM, Abdullah-Al-Wadud M, Adnan N. “Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures”. Renewable and Sustainable Energy Reviews, 58, 1039-1047, 2016.
  • Iwata K, Matsumoto S. “Use of plug-in hybrid vehicles in japan: an analysis of used car market data”. Transportation Research, Part D, 46, 200-206, 2016.
  • Türkiye Elektrikli ve Hibrit Araçlar Derneği. “Makaleler”. http://tehad.org (01.10.2018).
  • Gavranovic H, Barut A, Ertek G, Yüzbaşıoğlu OB, Pekpostalcı O, Tombuş Ö. “Optimizing the electric charge station network of EŞARJ”. Procedia Computer Science, 31, 15-21, 2014.
  • Awasthi A, Venkitusamy K, Padmanaban P, Selvamuthukumaran R, Blaabjerg F, Singh AK. “Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm”. Energy, 133, 70-78, 2017.
  • Lee C, Han J. “Benders-and-Price approach for electric vehicle charging station location problem under probabilistic travel range”. Transportation Research, Part B, 106, 130-152, 2017.
  • Hakimi SL. “Optimum locations of switching centers and the absolute centers and medians of a graph”. Operations Research, 12(3), 450-459, 1964.
  • Hodgson MJ. “A flow-capturing location-allocation model”. Geographical Analysis, 22(3), 270-279, 1990.
  • Csonka B, Csiszár C. “Determination of charging infrastructure location for electric vehicles”. Transportation Research Procedia, 27, 768-775, 2017.
  • Chung SH, Kwon C. “Multi-period planning for electric car charging station locations: A case of Korean Expressways”. European Journal of Operational Research, 242, 677-687, 2015.
  • Xylia M, Leduc S, Patrizio P, Kraxner F, Silveria S. “Locating charging infrastructure for electric buses in Stockholm”. Transportation Research, Part C, 78, 183-200, 2017.
  • Polimeni A, Napoli G, Andaloro L, Antonucci V. “Electric vehicle charging infrastructure planning in a road network”. Renewable and Sustainable Energy Reviews, 80, 98-108, 2017.
  • Zhao H, Li N. “Optimal siting of charging stations for electric vehicles based on fuzzy delphi and hybrid multi-criteria decision making approaches from an extended sustainability perspective”. Energies, 9(4), 1-22, 2016.
  • Guler D, Yomralioglu T. “GIS and fuzzy AHP based area selection for electric vehicle charging stations”. ISPRS TC IV Mid-term Symposium on 3D Spatial Information Science – The Engine of Change, Delft, The Netherlands, 01-05 October 2018.
  • Afroditi M, Boile S, Theofanis ES, Margaritis D. “Electric Vehicle Routing Problem with industry constraints: trends and insights for future research”. Transportation Research Procedia, 3, 452-459, 2014.
  • Erbas M, Kabak M, Ozceylan E. “Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis”. Energy, 163, 1017-1031, 2018.
  • Ju Y, Ju D, Gonzalez EDRS, Giannakis M, Wang A. “Study of site selection of electric vehicle charging station based on extended GRP method under picture fuzzy environment”. Computer&Industrial Engineering, 135, 1271-1285, 2019.
  • Liu Q, Liu J, Le W, Guo Z, He Z. “Data-driven intelligent location of public charging stations for electric vehicles”. Journal of Cleaner Production, 232, 531-541, 2019.
  • Zhang Y, Qiu Z, Gao P, Jiang S. “Location model of electric vehicle charging stations”. International Conference on Physics, Mathematics and Statistics, Shanghai, China, 12-14 May 2018.
  • Jochem P, Szimba E, Oppermann M. “How many fast-charging stations do we need along European highways?”. Transportation Research, Part D, 73, 120-129, 2019.
  • Dascıoglu BG, Kalender ZT, Tuzkaya G, Kilic HS. Evaluation of Electric Vehicles Station Locations with an Extended TOPSIS Methodology Using Probabilistic Linguistic Term Sets. Editors: Kahraman C, Cebi S, Cevik Onar S, Oztaysi B, Tolga A, Sari I. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 820-828, Springer, Cham, 2019.
  • Kuby MJ, Lim S. “The flow-refueling location problem for alternative-fuel vehicles”. Socio-Economic Planning Science, 39, 125-145, 2005.
  • Kuby MJ, Lim S. “Location of alternative-fuel stations using the Flow-Refueling Location Model and dispersion of candidate sites on arcs”. Network and Spatial Economics, 7(2), 129-152, 2007.
  • Kuby MJ, Lines L, Schultz R, Xie Z, Kim JG, Lim S. “Optimization of hydrogen stations in Florida using the flow-refueling location model”. International Journal of Hydrogen Energy, 34, 6045-6064, 2009.
  • General Directorate for Highways department. “İstatistikler”. https://www.kgm.gov.tr/.
Toplam 28 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Özel Sayı
Yazarlar

Büşra Gülnihan Daşçıoğlu Bu kişi benim

Gülfem Tuzkaya

Hüseyin Selçuk Kılıç

Yayımlanma Tarihi 31 Aralık 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 25 Sayı: 9

Kaynak Göster

APA Daşçıoğlu, B. G., Tuzkaya, G., & Kılıç, H. S. (2019). A model for determining the locations of electric vehicles’ charging stations in Istanbul. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 25(9), 1056-1061.
AMA Daşçıoğlu BG, Tuzkaya G, Kılıç HS. A model for determining the locations of electric vehicles’ charging stations in Istanbul. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. Aralık 2019;25(9):1056-1061.
Chicago Daşçıoğlu, Büşra Gülnihan, Gülfem Tuzkaya, ve Hüseyin Selçuk Kılıç. “A Model for Determining the Locations of Electric vehicles’ Charging Stations in Istanbul”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 25, sy. 9 (Aralık 2019): 1056-61.
EndNote Daşçıoğlu BG, Tuzkaya G, Kılıç HS (01 Aralık 2019) A model for determining the locations of electric vehicles’ charging stations in Istanbul. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 25 9 1056–1061.
IEEE B. G. Daşçıoğlu, G. Tuzkaya, ve H. S. Kılıç, “A model for determining the locations of electric vehicles’ charging stations in Istanbul”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 25, sy. 9, ss. 1056–1061, 2019.
ISNAD Daşçıoğlu, Büşra Gülnihan vd. “A Model for Determining the Locations of Electric vehicles’ Charging Stations in Istanbul”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 25/9 (Aralık 2019), 1056-1061.
JAMA Daşçıoğlu BG, Tuzkaya G, Kılıç HS. A model for determining the locations of electric vehicles’ charging stations in Istanbul. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2019;25:1056–1061.
MLA Daşçıoğlu, Büşra Gülnihan vd. “A Model for Determining the Locations of Electric vehicles’ Charging Stations in Istanbul”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 25, sy. 9, 2019, ss. 1056-61.
Vancouver Daşçıoğlu BG, Tuzkaya G, Kılıç HS. A model for determining the locations of electric vehicles’ charging stations in Istanbul. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2019;25(9):1056-61.





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