Öz
Today, rail vehicles are frequently preferred both
in urban and intercity transportation due to their high passenger capacity,
speed and increasing environmental awareness. As in every field, energy
efficiency studies have become compulsory in these vehicles. Because, they have
high energy consumption even in their daily services. There are various
strategies to obtain efficient use of energy in rail systems and efficient
driving techniques have been performed in this paper. For this purpose,
firstly, the driving of a rail vehicle has been modeled on Matlab considering all
vehicle information, track information and operational constraints. Then, four
different driving styles have been determined for the efficient use of energy
and their effects on travel time and energy consumption have been examined. The
study has been tested with the practical data of Ankaray metro line which has
eleven stations and is 8.527 km long. According to the results of the paper,
coasting control is more effective for long distances and reduction of the
maximum speed is more convenient for short distances. Furthermore, it has been
demonstrated that thanks to the determined strategies, the vehicle can save up
to 11.54-36.37% energy compared to practical driving.
Anahtar Kelimeler
rail vehicle modeling efficient driving techniques energy consumption
Destekleyen Kurum
KIRIKKALE ÜNİVERSİTESİ BİLİMSEL ARAŞTIRMA PROJELERİ KOORDİNASYON BİRİMİ
Proje Numarası
2018/016
Teşekkür
This work is supported by Kırıkkale University Scientific Research and Projects Coordination Office with the grant number 2018/016.
Kaynakça
- [1] UIC, ‘’Rail Systems Statistics’’, https://uic.org/statistics.[2] Su, S., Tang, T., Wang, Y., “Evaluation of strategies to reducing traction energy consumption of metro systems using an optimal train control simulation model”, Energies, 2016, 9(105):1-19.[3] Bonnett, C.F., “Practical Railway Engineering”, Imperial College Press, 2nd Edition, Singapore, 2015:135-145.[4] Gonzalez-Gil, A., Palacin, R., Batty, P., Powell, J.P., “A systems approach to reduce urban rail energy consumption”, Energy Conversion and Management, 2014, 80:509-524.[5] Açıkbaş, S., Söylemez, M.T., “Energy loss comparison between 750 VDC and 1500 VDC power supply systems using rail power simulation”, Computers in Railways IX, WIT press, 2004:951-960.[6] Su, S., Tang, T., Roberts, C., “A cooperative train control model for energy saving”, IEEE Transactions on Intelligent Transport Systems, 2015,16 (2):622-631.[7] Lu, S., Weston, P., Hillmansen, S., Gooi, H.B., Roberts, C., “Increasing the regenerative braking energy for railway vehicles”, IEEE Transactions on Intelligent Transport Systems, 2014, 15 (6):2506-2515.[8] Fernandez-Rodriguez, A., Fernandez-Cardador, A., Cucala, A.P., Falvo, M.C., “Energy efficiency and integration of urban electrical transport systems:EVs and metro-trains of two real European lines”, Energies,2019,12(3):1-20.[9] Barrero, R., Tackoen, X., Mierlo, J.V., “Supercapacitors on-board light rail vehicles: Enhanced energy storage systems for improved vehicle efficiency”, IEEE/ASME/ASCE Joint Rail Conference, 2008.[10] Meinert, M., “New mobile energy storage system for rolling stock”, 13th European Conference on Power Electronics and Applications, Spain, 2009.[11] Zhang, W.Y., Wei, J., “The experimental research on Beijing subway air-conditioning system energy saving”, Applied Mechanics and Materials, 2012, 170-173:2494-2498.[12] Ordody, P., “Thermal comfort in the passenger areas of the Budapest metro”, Periodica Polytechnica Mech, 2000, 44(2):309-317.[13] Martinis, V., Gallo, M., “Models and methods to optimize train speed profiles with and without energy recovery systems: a suburban test case”, Procedia-Social and Behavioral Sciences, 2013, 87(10):222-233.[14] Yang, X., Li, X., Ning, B., Tang, T., “An optimisation method for train scheduling with minimum energy consumption and journey time in metro rail systems”, Transportmetrica B: Transport Dynamics, 2015, 3(2):79-98.[15] Montrone, T., Pellegrini, P., Nobili, P., Longo, G., “Energy consumption minimization in railway planning”, IEEE 16th International Conference on Environment and Electrical Engineering, Italy, 2016.[16] Liu, W., Tang, T., Su, S., Yin, J., Cao, Y., Wang, C., “Energy efficient train driving strategy with considering the steep downhill segment”, Processes, 2019, 7(2):1-17.[17] Lukaszewicz, P., “Energy consumption and running time for trains”, Doctoral Thesis, Royal Institute of Technology, Stockholm, 2011.[18] Lindgreen, E., Sorenson, S.C., “Driving resistance from railroad trains”, Department of Mechanical Engineering, Techical University of Denmark, 2005.[19] Brenna, M., Foiadelli, F., Longo, M., “Application of genetic algorithms for driverless subway train energy optimization”, International Journal of Vehicular Technology, 2016, 26:1-14.[20] Gkortzas, P., “Study on optimal train movement for minimum energy consumption”, Master Thesis, Malardalen University, Sweden, 2011.[21] Keskin, K., Karamancıoğlu, A., “Energy efficient train operation using nature-inspired algorithms, Journal of Advanced Transportation, 2017, 5:1-12.[22] Ankaray, https://www.ego.gov.tr/tr/sayfa/1085/a1-ankaray-dikimeviasti-rayli-toplu-tasim-sistemi.[23] Ankaray statistics, https://www.ego.gov.tr/tr/sayfa/61/istatistikler
Öz
Günümüzde
raylı sistem araçları yüksek yolcu kapasiteleri, hızları ve artan çevre bilinci
nedeniyle şehir içi ve şehirlerarası ulaşımda sıklıkla tercih edilmektedir. Her
alanda olduğu gibi, raylı sistem araçlarının günlük servislerinde bile yüksek
enerji tüketimine sahip olmasından dolayı bu araçlarda da enerji verimliliği
çalışmaları zorunlu hale gelmiştir. Raylı sistemlerde enerjinin verimli
kullanılmasını sağlamak için çeşitli stratejiler vardır ve bu çalışmada verimli
sürüş teknikleri uygulanmıştır. Bu amaçla, öncelikle, araca ait bilgiler, yola
ait veriler ve operasyonel kısıtlamalar göz önünde bulundurularak, bir
demiryolu aracının sürüşü Matlab'da modellenmiştir. Daha sonra, enerjinin
verimli kullanımı için dört farklı sürüş stili belirlenmiş ve bunların seyahat
süresi ve enerji tüketimi üzerindeki etkileri incelenmiştir. Çalışma 11
istasyonlu ve 8.527 km uzunluğundaki Ankaray metro hattının pratik verileriyle
test edilmiştir. Çalışmanın sonuçlarına göre, uzun mesafeli istasyonlar için
boşta gitme stili, kısa mesafeli istasyonlar için maksimum hızın azaltılması
stili daha etkilidir. Ayrıca belirlenen stratejiler sayesinde aracın pratik
sürüşe göre % 11.54-36.37 oranında enerji tasarrufu sağlayabildiği
gösterilmiştir.
Anahtar Kelimeler
raylı sistem aracı modelleme verimli sürüş tekniklikleri enerji tüketimi
Proje Numarası
2018/016
Kaynakça
- [1] UIC, ‘’Rail Systems Statistics’’, https://uic.org/statistics.[2] Su, S., Tang, T., Wang, Y., “Evaluation of strategies to reducing traction energy consumption of metro systems using an optimal train control simulation model”, Energies, 2016, 9(105):1-19.[3] Bonnett, C.F., “Practical Railway Engineering”, Imperial College Press, 2nd Edition, Singapore, 2015:135-145.[4] Gonzalez-Gil, A., Palacin, R., Batty, P., Powell, J.P., “A systems approach to reduce urban rail energy consumption”, Energy Conversion and Management, 2014, 80:509-524.[5] Açıkbaş, S., Söylemez, M.T., “Energy loss comparison between 750 VDC and 1500 VDC power supply systems using rail power simulation”, Computers in Railways IX, WIT press, 2004:951-960.[6] Su, S., Tang, T., Roberts, C., “A cooperative train control model for energy saving”, IEEE Transactions on Intelligent Transport Systems, 2015,16 (2):622-631.[7] Lu, S., Weston, P., Hillmansen, S., Gooi, H.B., Roberts, C., “Increasing the regenerative braking energy for railway vehicles”, IEEE Transactions on Intelligent Transport Systems, 2014, 15 (6):2506-2515.[8] Fernandez-Rodriguez, A., Fernandez-Cardador, A., Cucala, A.P., Falvo, M.C., “Energy efficiency and integration of urban electrical transport systems:EVs and metro-trains of two real European lines”, Energies,2019,12(3):1-20.[9] Barrero, R., Tackoen, X., Mierlo, J.V., “Supercapacitors on-board light rail vehicles: Enhanced energy storage systems for improved vehicle efficiency”, IEEE/ASME/ASCE Joint Rail Conference, 2008.[10] Meinert, M., “New mobile energy storage system for rolling stock”, 13th European Conference on Power Electronics and Applications, Spain, 2009.[11] Zhang, W.Y., Wei, J., “The experimental research on Beijing subway air-conditioning system energy saving”, Applied Mechanics and Materials, 2012, 170-173:2494-2498.[12] Ordody, P., “Thermal comfort in the passenger areas of the Budapest metro”, Periodica Polytechnica Mech, 2000, 44(2):309-317.[13] Martinis, V., Gallo, M., “Models and methods to optimize train speed profiles with and without energy recovery systems: a suburban test case”, Procedia-Social and Behavioral Sciences, 2013, 87(10):222-233.[14] Yang, X., Li, X., Ning, B., Tang, T., “An optimisation method for train scheduling with minimum energy consumption and journey time in metro rail systems”, Transportmetrica B: Transport Dynamics, 2015, 3(2):79-98.[15] Montrone, T., Pellegrini, P., Nobili, P., Longo, G., “Energy consumption minimization in railway planning”, IEEE 16th International Conference on Environment and Electrical Engineering, Italy, 2016.[16] Liu, W., Tang, T., Su, S., Yin, J., Cao, Y., Wang, C., “Energy efficient train driving strategy with considering the steep downhill segment”, Processes, 2019, 7(2):1-17.[17] Lukaszewicz, P., “Energy consumption and running time for trains”, Doctoral Thesis, Royal Institute of Technology, Stockholm, 2011.[18] Lindgreen, E., Sorenson, S.C., “Driving resistance from railroad trains”, Department of Mechanical Engineering, Techical University of Denmark, 2005.[19] Brenna, M., Foiadelli, F., Longo, M., “Application of genetic algorithms for driverless subway train energy optimization”, International Journal of Vehicular Technology, 2016, 26:1-14.[20] Gkortzas, P., “Study on optimal train movement for minimum energy consumption”, Master Thesis, Malardalen University, Sweden, 2011.[21] Keskin, K., Karamancıoğlu, A., “Energy efficient train operation using nature-inspired algorithms, Journal of Advanced Transportation, 2017, 5:1-12.[22] Ankaray, https://www.ego.gov.tr/tr/sayfa/1085/a1-ankaray-dikimeviasti-rayli-toplu-tasim-sistemi.[23] Ankaray statistics, https://www.ego.gov.tr/tr/sayfa/61/istatistikler
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Konular | Mühendislik |
| Bölüm | Makaleler |
| Yazarlar | |
| Proje Numarası | 2018/016 |
| Yayımlanma Tarihi | 31 Ocak 2020 |
| Gönderilme Tarihi | 19 Eylül 2019 |
| Kabul Tarihi | 2 Aralık 2019 |
| Yayımlandığı Sayı | Yıl 2020 Cilt: 7 Sayı: 1 |
