Small-scale LNG supply chain optimization for LNG bunkering in Turkey


Doymuş M., Sakar G. D., Yıldız Ş. A., Açık A.

COMPUTERS & CHEMICAL ENGINEERING, vol.162, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 162
  • Publication Date: 2022
  • Doi Number: 10.1016/j.compchemeng.2022.107789
  • Journal Name: COMPUTERS & CHEMICAL ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aqualine, Chemical Abstracts Core, Communication Abstracts, Computer & Applied Sciences, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Keywords: Small-scale LNG, LNG bunkering, LNG as a marine fuel, Forecasting, Optimization, Mixed-integer linear programming, GAS
  • Dokuz Eylül University Affiliated: Yes

Abstract

LNG (Liquefied Natural Gas) provides a viable option to comply with emission control measures as an alternative marine fuel. Supply chain optimization is critical for LNG bunkering development in the mar-itime context as it requires high capital-expenditure. This study proposes a model for optimizing the ship-to-ship LNG bunkering supply chain. The related problem is defined as a Multiple Period Maritime Fleet Size and Routing Problem. The proposed mathematical model has been solved for various demand scenarios obtained by multiple regression and forecasting as a case study of ship-to-ship LNG bunker deliveries in Turkey. The model presents an optimal solution as a tactical and strategic decision-making tool, finds the number and size of the LNG bunker barges and the optimum allocation of the barges and the distribution network within a ship-to-ship bunkering framework. Moreover, it provides a commercial framework for shipowners and suppliers by determining the breakeven point for investment decisions.(c)