Creating annual delivery programs of liquefied natural gas

Andersson, Henrik; Christiansen, Marielle; Desaulniers, Guy; Rakke, Jørgen Glomvik

doi:10.1007/s11081-015-9305-y

Cited by 22 publications

(33 citation statements)

References 15 publications

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“…It would take the outcomes of the latter as one of the starting points for planning from a single company perspective with a portfolio of LNG infrastructure and contracts. The large-scale integer programs to model this often need dedicated advanced solution algorithms, (c.f., [22][23][24]). Aspects such as minimizing the number of ships, schedule regularity, fuel usage minimization, inventory level management, stabilizing the number of charter ships hired, etc.…”

Section: Lng Shipmentmentioning

confidence: 99%

A Techno-Economic Perspective on Natural Gas and Its Value Chain

Egging-Bratseth

2020

Gases

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We describe the elements and actors in the global natural gas value chains with an emphasis on characteristics relevant for large-scale energy system and market modeling. We give backgrounds on natural gas as a hydrocarbon to provide a rationale and understanding for what functional representations in mathematical programming models aim to represent. Simply taking the most advanced and detailed functional forms for all value chain characteristics and activities will typically result in numerical intractability. One should carefully determine what is needed to address a research question or analyze a business case. Recent advances in mathematical programming do allow solving large models with adequate detail for many types of analysis. We discuss which functional forms and modeling approaches can be appropriate for representing various characteristics in different types of analysis and provide a succinct and general mathematical programming formulation reflecting the optimization problems for different types of actors in the value chain. We provide an implementation for a stylized network using GAMS.

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Section: Lng Shipmentmentioning

confidence: 99%

A Techno-Economic Perspective on Natural Gas and Its Value Chain

Egging-Bratseth

2020

Gases

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“…The extensive computations reveal that heuristic approaches generate significantly lower-cost solutions compared to commercial optimisers. The same problem was solved by Andersson et al [84] using a branch-and-cut algorithm by introducing several types of valid inequalities, which reduces the linear programming gap in the MIP formulation. The computational results illustrate that although the problem is very complex, valid inequalities are effective in simplifying the model to achieve faster results.…”

Section: Deterministic Models Of Lng Supply Chainmentioning

confidence: 99%

Sustainable Liquefied Natural Gas Supply Chain Management: A Review of Quantitative Models

Al-Haidous

Al‐Ansari

2019

Sustainability

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Natural gas is an essential fuel in the transitions towards a sustainable energy future as it is considered a cleaner source of fuel when compared to other hydrocarbon sources. To enable natural gas delivery from the producer to consumers, natural gas is liquified to enhance transportation efficiency and reliability. The main contribution of this paper is to develop sustainable LNG supply chain through a review of different sustainable supply chain management tools and assessing their applicability in managing LNG supply chains. Energy security has evolved to include the protection of the entire energy supply chain and infrastructure rather than a consideration for the availability of resources alone. There is a particular focus on coupling sustainability and resilience/risk as part of the need to develop integrated approaches to manage energy supply chains to deliver cargo at minimal cost and environmental impact, and to ensure that supply chains can overcome vulnerabilities withstanding potential disruptions to the supply chain. Outcomes of this review demonstrate the possibility to develop multi criteria models, which consider sustainability dimensions within the LNG supply chains and to integrate parameters that form part of the annual delivery plan ensuring day to day LNG supply chain planning consider multiple objectives.

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“…On the other hand, concentrating on the applied solution methods, in the literature, there are both deterministic and stochastic optimization algorithms which are all utilized to search for the optimal solutions. In the sphere of LNG transportation, applied deterministic optimization algorithms comprise branch-and-price (Grønhaug et al 2010), Branch and bound (Rakke et al 2011), branch and cut (Andersson et al, 2017), dynamic programming (Stålhane et al 2012b), sequential quadratic programming (Skaugen et al, 2013) and other algorithms. In addition, table 1 shows the recent studies on LNG shipping problem using stochastic optimization algorithms and highlights the differences between the previous studies and the current research.…”

Section: Deterministic Versus Stochastic Optimization Algorithmsmentioning

confidence: 99%

A binary particle swarm optimization algorithm for ship routing and scheduling of liquefied natural gas transportation

Yazdi

Kaviani

Emrouznejad

et al. 2019

Transportation Letters

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With the increasing global demands for energy, fuel supply management is a challenging task of today's industries in order to decrease the cost of energy and diminish its adverse environmental impacts. To have a more environmentally friendly fuel supply network, Liquefied Natural Gas (LNG) is suggested as one of the best choices for manufacturers. As the consumption rate of LNG is increasing dramatically in the world, many companies try to carry this product all around the world by themselves or outsource it to third-party companies. However, the challenge is that the transportation of LNG requires specific vessels and there are many clauses in related LNG transportation contracts which may reduce the revenue of these companies, it seems essential to find the best option for them. The aim of this paper is to propose a meta-heuristic Binary Particle Swarm Optimization (BPSO) algorithm to come with an optimized solution for ship routing and scheduling of LNG transportation. The application demonstrates what sellers need to do to reduce their costs and increase their profits by considering or removing some obligations.

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Creating annual delivery programs of liquefied natural gas

Cited by 22 publications

References 15 publications

A Techno-Economic Perspective on Natural Gas and Its Value Chain

A Techno-Economic Perspective on Natural Gas and Its Value Chain

Sustainable Liquefied Natural Gas Supply Chain Management: A Review of Quantitative Models

A binary particle swarm optimization algorithm for ship routing and scheduling of liquefied natural gas transportation

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