Network flows modeling applied to the natural gas pipeline in Brazil

Vasconcelos, Claudemir Duca; Lourenço, Sérgio Ricardo; Gracias, Antonio Carlos; Cassiano, Douglas Alves

doi:10.1016/j.jngse.2013.07.001

Cited by 46 publications

(17 citation statements)

References 15 publications

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“…For the natural gas, fuel i P is calculated by the gas flow equation discussed in section II.B. The coefficients used in (21) indicate characteristics of the cost-curve of fuels [1]- [3], [5]. The consumed power of other energy carriers such as coal, biomass, etc., is computed using output powers of the relative units that are obtained by the optimization algorithm and their efficiencies.…”

Section: F Implementation Of the Proposed Algorithmmentioning

confidence: 99%

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Energy Flow Optimization in Multicarrier Systems

Shabanpour-Haghighi

Seifi

2015

IEEE Trans. Ind. Inf.

129

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In this paper, a generalized heuristic approach is proposed to solve the optimal power flow problem in multicarrier energy systems. This technique omits the use of any extra variable such as dispatch factors or dummy variables required for conventional techniques. The unified proposed approach can be utilized with all evolutionary algorithms. Modeling hubdevices with constant efficiency may produce a considerable error in finding the actual optimal operating point of the whole network. However, using variable efficiency model adds complexity to the conventional methods while increases the computation-demand of these techniques but this target can be simply implemented by the proposed scheme. A multi-carrier energy system consists of an electrical, a natural gas, and a district heating network is analyzed by the proposed algorithm using the modified teaching-learning based optimization method. Results validate the utilized approach and show that it can successfully reach to the global optimal solution of the problem.Index Terms-Energy hub, heuristic algorithms, multi-carrier energy system, optimal power flow, optimization problem. NOMENCLATUREA. Multi-carrier energy network parameters/variables , gen Ei P , , gen Ei Q electric active and reactive power injected by the generator connected to the ith bus , dem Ei P , , dem Ei Q electric active and reactive power demand of the load connected to the ith bus Vi , Vj

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Section: F Implementation Of the Proposed Algorithmmentioning

confidence: 99%

“…Run the power flow of all networks including electric, gas, and heat power flow. Calculate fitness value of the objective function for each member using (21).…”

Section: F Implementation Of the Proposed Algorithmmentioning

confidence: 99%

Energy Flow Optimization in Multicarrier Systems

Shabanpour-Haghighi

Seifi

2015

IEEE Trans. Ind. Inf.

129

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“…Hamedi et al (2009) proposed a single-objective, multi-period mix integer nonlinear mathematical model for multi-echelon gas supply chain and solved their intended distribution programming using a hierarchical algorithm. Vasconcelos et al (2013) worked on the modeling of flow in gas pipelines and obtained maximum network flow using a linear mathematical programming and Brazil's database. Nikbakht et al (2012) studied a three-echelon natural gas supply chain including gas gathering, gas transmission and gas distribution systems.…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction approach

Azadeh

Raoofi

Zarrin

2015

Journal of Natural Gas Science and Engineering

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“…A Fig. 1.1 apresenta as malhas de gasodutos terrestres no Brasil, mostrando a comple-Figura 1.1: Malha de gasodutos brasileira (VASCONCELOS et al, 2013).…”

Section: Figura -12 Malha De Gasodutos Em Operação No Mar Dounclassified

Estimação de estado em malhas de escoamento de gás natural: uma proposta para malhas complexas.

Rotava¹

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Natural gas is economically important due to its low value and less environmental impact. Brazilian gas is produced mainly from offshore fields in deep water, where pipeline networks are in operation in order to transport this natural gas to onshore processing units. As a decision support tool, flow models integrated with field measurements are used, which estimate variables at different points in the flow. This work seeks to estimate the state in an offshore gas pipeline network in deep waters, including the estimation of flow parameters, to improve the prediction of pressure and temperature profiles and greater tolerance to inaccurate measurements. To achieve these objectives, the Kalman filter is used. A single-phase, transient, thermal and compositional flow model is proposed for the reproduction of flow dynamics in a gas pipeline network; this model is used in the extended Kalman filter to describe the dynamics of the system. Available cases in the literature are discussed, as proposed onshore and offshore gas pipelines, a simulated offshore network and a real network of pipelines in operation, in order to verify the scenarios where this proposal presents gains. The results show that the incorporation of the energy conservation equation in the propagation model on offshore pipelines improves the accuracy of profiles and flow parameters simultaneously estimation, for pressure and temperature profiles in scenarios with deep water flow transients. In addition, the approach was validated with field data for an offshore network in operation, presenting consistent results for the estimated parameters, as well as robustness to the non-representative measurements on the sensors. These are the main contributions of the Thesis.

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Network flows modeling applied to the natural gas pipeline in Brazil

Cited by 46 publications

References 15 publications

Energy Flow Optimization in Multicarrier Systems

Energy Flow Optimization in Multicarrier Systems

A multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction approach

Estimação de estado em malhas de escoamento de gás natural: uma proposta para malhas complexas.

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