Optimization Models for the Natural Gas Value Chain

Tomasgård, Asgeir; Rømo, Frode; Fodstad, Marte; Midthun, Kjetil Trovik

doi:10.1007/978-3-540-68783-2_16

Cited by 79 publications

(49 citation statements)

References 5 publications

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“…With gas compressors installed in the natural gas network which are analogous to transformers in the power system, natural gas can flow from a low pressure node to a high pressure node. A simplified model of compressors from [26] is adopted in this paper (25).…”

Section: Network Constraintsmentioning

confidence: 99%

“…In this paper, operation cost of gasfired units is measured in terms of the natural gas production cost. The heat rate curve and high heating value (HHV) are used to model the relationship between gas consumption and electricity generation of gas-fired units (26). PtG facilities are modeled using energy conversion factor /, efficiency g PtG a , and HHV as in (27) [16,27], where HHV = 1.026 MBtu/kcf and / = 3.4 MBtu/ MWh.…”

Section: Coupling Constraints Between Electricity and Natural Gas Sysmentioning

confidence: 99%

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Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology

Liu

et al. 2017

J. Mod. Power Syst. Clean Energy

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The increasing interdependency of electricity and natural gas systems promotes coordination of the two systems for ensuring operational security and economics. This paper proposes a robust day-ahead scheduling model for the optimal coordinated operation of integrated energy systems while considering key uncertainties of the power system and natural gas system operation cost. Energy hub, with collocated gas-fired units, power-to-gas (PtG) facilities, and natural gas storages, is considered to store or convert one type of energy (i.e., electricity or natural gas) into the other form, which could analogously function as large-scale electrical energy storages. The column-andconstraint generation (C&CG) is adopted to solve the proposed integrated robust model, in which nonlinear natural gas network constraints are reformulated via a set of linear constraints. Numerical experiments signify the effectiveness of the proposed model for handling volatile electrical loads and renewable generations via the coordinated scheduling of electricity and natural gas systems.

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Section: Network Constraintsmentioning

confidence: 99%

Section: Coupling Constraints Between Electricity and Natural Gas Sysmentioning

confidence: 99%

Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology

Liu

et al. 2017

J. Mod. Power Syst. Clean Energy

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“…The natural gas network is mainly composed by a system of pipelines with a set of production fields, processing plants, transportations and markets nodes [9].…”

Section: Natural Gas Networkmentioning

confidence: 99%

A goal programming methodology for multiobjective optimization of distributed energy hubs operation

Scala

Vaccaro

Zobaa

2014

Applied Thermal Engineering

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This paper addresses the problem of optimal energy flow management in multicarrier energy networks in the presence of interconnected energy hubs. The overall problem is here formalized by a nonlinear constrained multiobjective optimization problem and solved by a goal attainment based methodology. The application of this solution approach allows the analyst to identify the optimal operation state of the distributed energy hubs which ensures an effective and reliable operation of the multicarrier energy network in spite of large variations of load demands and energy prices. Simulation results obtained on the 30 bus IEEE test network are presented and discussed in order to demonstrate the significance and the validity of the proposed method.

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“…Often, a steady-state assumption is used when modelling the relationship between pressure and flow in the network. In [3] and [4], such a steady-state representation of gas network pressures and flows is used to optimize the network.…”

Section: Introductionmentioning

confidence: 99%

Assessing Production Assurance in a Natural Gas Network by Using Scenario Generation and Optimization

et al. 2015

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We discuss how an optimization model can be used together with a scenario generation procedure to provide valuable analysis for companies operating in a natural gas value chain. The solution time of the optimization model can be considerable for some model specifications, so a large scale sampling from the distribution of the uncertain parameters would lead to intractable solution times. By using a scenario generation procedure we can, however, drastically reduce the required amount of analyses necessary to run. We discuss two different procedures in this paper: moment-matching and copulas. We also demonstrate the application on a gas transportation network similar to the one on the Norwegian Continental Shelf. The data used in the analysis are synthetic, but with realistic values.

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Optimization Models for the Natural Gas Value Chain

Cited by 79 publications

References 5 publications

Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology

Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology

A goal programming methodology for multiobjective optimization of distributed energy hubs operation

Assessing Production Assurance in a Natural Gas Network by Using Scenario Generation and Optimization

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