scholarly journals Modeling the natural gas supply chain for sustainable growth policy

Energy ◽  
2020 ◽  
Vol 205 ◽  
pp. 118018
Author(s):  
Mauricio Becerra-Fernandez ◽  
Federico Cosenz ◽  
Isaac Dyner
2010 ◽  
Vol 3 (4) ◽  
pp. 31-64 ◽  
Author(s):  
Marte Fodstad ◽  
Kristin Tolstad Uggen ◽  
Frode Rømo ◽  
Arnt-Gunnar Lium ◽  
Geert Stremersch

2021 ◽  
Author(s):  
Jianping Zhang ◽  
Fuping Wang ◽  
Yongsong Pu ◽  
Pu Li ◽  
Yingkai Ma ◽  
...  

Abstract After China's supply chain finance business has gradually matured in the consumer finance field, it has begun to extend to the industrial finance field. As a branch of industrial finance, the natural gas industry supply chain finance business has gradually developed, and the number of participants has gradually increased. The article mainly introduces the development status of natural gas supply chain financial services in China. Research has found that there are still many problems in the current industry development, such as the inability of effective collaboration among participants, and the inability to unify logistics, information flow, capital flow and energy flow in the industry. On this basis, the article studies the methods of blockchain technology to solve corresponding problems, and proposes the application ideas of blockchain technology in the field of natural gas supply chain finance, hoping to promote development by constructing a business model business architecture and technical architecture, This model can produce significant economic and social benefits, has a high theoretical feasibility, but there is no concrete examples at present. Finally, suggestions are made in five aspects, including strengthening the design of top-level systems, incorporating energy flows into the supply chain financial framework system, creating an open innovation atmosphere, enhancing technological progress, strengthening core corporate social responsibility, and promoting core corporate organizational innovation.


Energy ◽  
2020 ◽  
Vol 196 ◽  
pp. 117125
Author(s):  
Satyadileep Dara ◽  
Haytham Abdulqader ◽  
Yasser Al Wahedi ◽  
Abdallah S. Berrouk
Keyword(s):  

Author(s):  
Ahmed M. Ghaithan ◽  
Ahmed Attia ◽  
Salih O. Duffuaa

The oil and gas networks are overlapped because of the inclusion of associated gas in crude oil. This necessitates the integration and planning of oil and gas supply chain together. In recent years, hydrocarbon market has experienced high fluctuation in demands and prices which leads to considerable economic disruptions. Therefore, planning of oil and gas supply chain, considering market uncertainty is a significant area of research. In this regard, this study develops a multi-objective stochastic optimization model for tactical planning of downstream segment of oil and natural gas supply chain under uncertainty of price and demand of petroleum products. The proposed model was formulated based on a two-stage stochastic programming approach with a finite number of realizations. The proposed model helps to assess various trade-offs among the selected goals and guides decision maker(s) to effectively manage oil and natural gas supply chain. The applicability and the utility of the proposed model has been demonstrated using the case of Saudi Arabia oil and gas supply chain. The model is solved using the improved augmented ε-constraint algorithm. The impact of uncertainty of price and demand of petroleum products on the obtained results was investigated. The Value of Stochastic Solution (VSS) for total cost, total revenue, and service level reached a maximum of 12.6 %, 0.4 %, and 6.2% of wait-and see solutions, respectively. Therefore, the Value of the Stochastic Solution proved the importance of using stochastic programming approach over deterministic approach. In addition, the obtained results indicate that uncertainty in demand has higher impact on the oil and gas supply chain performance than the price.


2021 ◽  
Vol 6 (1) ◽  
pp. 63-74
Author(s):  
Davor Dujak ◽  
◽  
Dario Šebalj ◽  
Karolina Kolinska

Natural gas is third most used fossil fuel and energy resource in the world, with significant increase in its consumption over last 20 years. As a consequence, research in optimisation of its supply chain processes are becoming increasingly significant. This paper aims to develop conceptual framework for material and information flow optimisation in natural gas supply chain and suggests its future use. Based on previous researches on mapping natural gas supply chain, bullwhip effect in natural gas supply chain and simulation models in natural gas supply chain, paper proposes new conceptual framework for material and information flow optimisation in natural gas supply chain. Results of implementation of this framework in natural gas supply chain of Republic of Croatia are presented with all suggestions for improvement explained. Keywords: natural gas supply chain, simulation model, bullwhip effect


Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 351 ◽  
Author(s):  
Markéta Mikolajková-Alifov ◽  
Frank Pettersson ◽  
Margareta Björklund-Sänkiaho ◽  
Henrik Saxén

A better design of gas supply chains may lead to a more efficient use of locally available resources, cost savings, higher energy efficiency and lower impact on the environment. In optimizing the supply chain of liquefied natural gas (LNG), compressed natural gas (CNG) or biogas for smaller regions, the task is to find the best supplier and the most efficient way to transport the gas to the customers to cover their demands, including the design of pipeline networks, truck transportation and storage systems. The analysis also has to consider supporting facilities, such as gasification units, truck loading lines and CNG tanking and filling stations. In this work a mathematical model of a gas supply chain is developed, where gas may be supplied by pipeline, as compressed gas in containers or as LNG by tank trucks, with the goal to find the solution that corresponds to lowest overall costs. In order to efficiently solve the combinatorial optimization problem, it is linearized and tacked by mixed integer linear programming. The resulting model is flexible and can easily be adapted to tackle local supply chain problems with multiple gas sources and distributed consumers of very different energy demands. The model is illustrated by applying it on a local gas distribution problem in western Finland. The dependence of the optimal supply chain on the conditions is demonstrated by a sensitivity analysis, which reveals how the model can be used to evaluate different aspects of the resulting supply chains.


2019 ◽  
Vol 80 ◽  
pp. 394-410 ◽  
Author(s):  
Bertrand Rioux ◽  
Philipp Galkin ◽  
Frederic Murphy ◽  
Felipe Feijoo ◽  
Axel Pierru ◽  
...  

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