Shan TENG, Yutaka WATANABE

SIVILAŞTIRILMIŞ DOĞAL GAZ TAŞIMA YOLLARININ AĞ TABANLI OPTİMİZASYONU

Son yıllarda, uygun fiyatlı ve verimli bir temiz enerji kaynağı hızlı bir gelişme dönemine girmiştir: sıvılaştırılmış doğal gaz (LNG) yanma sırasında petrol veya kömürden daha az karbondioksit yayar. Aslında, LNG sadece enerji üretimi, kentsel gaz ve sanayi için yaygın olarak kullanılmamıştır. Ayrıca, LNG kamyonlarının hızla artmasında başı çeken bir otomotiv yakıtı olarak kademeli biçimde benimsenmiştir. Bununla birlikte, LNG kamyon taşımacılığı ile ilgili güvenlik sorunları giderek daha belirgin hale gelmiştir. LNG yanıcı olduğundan ve patlama riski içerdiğinden, bir kaza meydana geldiğinde, sızıntı nedeniyle yangına ve patlamalara neden olmaya eğilimlidir. Daha önceki çalışmalar, tehlikeli madde taşıma yolları için en kısa yol sorununu basitleştirmiştir. Ancak, bu yöntem, kazalardan sonra kurtarma yeteneklerinin de göz önünde bulundurulması gereken gerçek durumları kolayca yansıtmaz. Bu nedenle, LNG taşıma yollarının optimize edilmesi önemlidir. Bu optimizasyon, düşük kaza riski ile ulaşım verimliliğinin sağlanması, kurtarma tesislerinin güvenliğinin sağlanması ve çevre üzerinde çok az etkiye sahip olması üzerine yoğundur.

Anahtar Kelimeler:

Kaza simülasyonu, LNG taşımacılığı, Risk analizi, Rota seçimi

NETWORK-BASED OPTIMIZATION OF LIQUEFIED NATURAL GAS TRANSPORTATION ROUTES

In recent years, one affordable and efficient clean energy resource has entered a period of rapid development: liquefied natural gas (LNG) emits less carbon dioxide during combustion than oil or coal. In fact, LNG has not only been used widely for power generation, urban gas, and industry. It has also been adopted gradually as an automotive fuel, leading to the rapid growth of LNG trucks. However, safety issues related to LNG truck transportation have become increasingly prominent. Because LNG is flammable and entails risk of explosion, once an accident occurs, it is prone to cause fire and explosions because of leakage. Earlier studies simplified the shortest path problem for dangerous goods transportation routes. However, this method does not readily reflect actual situations in which rescue capabilities after accidents must also be considered. Therefore, optimizing LNG transportation routes is important. That optimization is premised on ensuring transportation efficiency with low accident risk, securing rescue facilities, and with little effect on the environment.

Keywords:

Accident simulation, LNG transport, Risk analysis, Route selection,

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[1] BP Statistical Review of World Energy 2019 at https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2019-full-report.pdf
[2] Dai Q. (2017). Research of Route Selection of Liquefied Natural Gas Road Transportation Based on Risk Analysis. South China University of Technology, 32
[3] Phillips D.W. (2013). Hazardous Materials Transportation Risk Analysis – Quantitative Approaches for Truck and Train [J]. Taylor & Francis, 7(4). 10.1179/rmt.1996.7.4.309
[4] Garrido R.A., Bronfman A.C. (2017). Equity and Social Acceptability in Multiple Hazardous Materials Routing Through Urban Area [J]. Transportation Research Part A. 102, 244-260. 10.1016/j.tra.2016.05.018
[5] Harwood D.W., Viner J.G., Russell E.R. (1993). Procedure for developing truck accident and release rates for Hazmat routing [J]. Journal of Transportation Engineering, 119:2(2), 189-199. 10.1061/(ASCE)0733-947X(1993)119:2(189)
[6] Bo H., Fery P. (2005). Aiding route decision for hazardous material transportation. Proceedings of the 84th TRB Annual Meeting. Washington, D.C.
[7] Lv P. The Study of Hazardous Study Transportation Route Selection Based on GIS-AHP Method [A]. Road Transportation. 2011:75-78
[8] M.de Beer., Fisher C., Jooste F.J. (1996). Determination of Reanimation Type Pavements with Thin Asphalt Surfacing Layers [C]. Eighth International Conference on Asphalt Pavement. 179-227
[9] OpenStreetMap: https://www.openstreetmap.org/#map=11/38.9466/121.4212
[10] Ren C., Wu Z., Li J. (2008). Multi-objective Pareto Optimal Route for Road Transportation of Dangerous Goods Based on Risk Analysis [J]. China Work Safety Science and Technology, 4(2), 9-13
[11] Ren C. (2007) Research on optimization method of dangerous goods road transportation route based on risk analysis [D]. Nankai University
[12] Saaty T. L. (1980).The Analytic Hierarchy Process [M]. New York: McGraw-Hill
[13] Zeng J., Wang M., Liu Y. et al. (2011). Characteristics and prevention of road transport liquefied natural gas (LNG) accidents [C]. Advanced Forum on Transportation of China. 221-225
[14] Zhou W., Ruan Y., Wang H. (2009). LNG tank truck road transportation hazard and its risk assessment [C]. LNG Professional Committee of China Urban Gas Society 2009 CBM Liquefaction Theme Annual Conference.