Techno-economical and environmental optimization of natural gas network operation

Kashani, Amir Hesam Alinia; Molaei, Reza

doi:10.1016/j.cherd.2014.02.006

Cited by 50 publications

(11 citation statements)

References 18 publications

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“…The choice of diameter is a trade-off between the investment costs for pipeline and energy costs for gas transportation. The mathematical model of pipeline optimization is based on steady-state flow, a specified maximum allowable absolute pressure 19,20 and outlet gas velocity.…”

Section: Methodsmentioning

confidence: 99%

Assessment of optimal location for a centralized biogas upgrading facility

Havrysh

Ніценко

Bilan

et al. 2018

Energy & Environment

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Since the 1990s, the volume of biogas produced in the world has been increasing. Biomethane (upgraded biogas) is a more versatile renewable fuel. Biogas transportation from production sites to upgrading facilities induces a scale advantage and an efficiency increase. Therefore, exploration of costs and energy use of biogas transportation using dedicated infrastructure is needed. A mathematical model to determine the optimum location for a certain biogas upgrading plant has been presented. It was developed to describe a local biogas grid that is used to collect biogas from several digesters and to deliver it to a central upgrading point. The model minimizes operational and maintenance costs per volumetric unit of biogas. The results indicate that cooperation between biogas producers in collecting biogas by means of a star layout reduces the cost of biomethane production (investment costs by 22.4–24.8% and operating and maintenance costs by 1.7–10.9%) relative to using a decentralized method. Merging smaller digesters into a smaller number of larger biogas upgrading plants reduces the biomethane production costs for the same biogas volume source.

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Section: Methodsmentioning

confidence: 99%

Assessment of optimal location for a centralized biogas upgrading facility

Havrysh

Ніценко

Bilan

et al. 2018

Energy & Environment

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“…Several methods of optimization have been developed in order to improve transmission pipeline design and operations (Wu et al. , 2018; Kashani and Molaei, 2014). These methods are valuable and should be applied throughout the service life of the pipeline system.…”

Section: Introductionmentioning

confidence: 99%

The optimum use of high-strength steel in the construction of gas transmission pipeline

Guillal

Abdelbaki

2023

IJSI

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PurposeThe aim of this study is to assess the opportunity for the development of hydrocarbon transportation using high-strength steel (HSS) in pipeline construction in terms of cost savings and reliability.Design/methodology/approachSeveral optimizations of pipeline design and operations were performed to estimate the total life-cycle cost variation associated with different grades of high-strength steel. The generalized reduced gradient (GRG) method was used in an Excel table to determine optimal total life cycle each pipeline. Variables used in this optimization with respect to each steel grade were as follows: pipeline external diameter, wall thickness, number of compression stations and installed power in each compression station. The reliability of a pipeline with optimal cost was assessed to highlight the impact of steel grade on pipeline reliability.FindingsThe study showed that the cost reduction is strongly dependent on the adopted gas pipeline configuration. The number of compression stations and external diameter are the main factors influencing the pipeline total life cycle cost, while the steel price seems to have a minor effect, the reduction of the gas pipeline total life cycle does not exceed 5% even with a 50% difference in pipe steel prices between X70 and X100 steels. On the other side, for the same external diameter, X100 steel presents better pipeline reliability against carbonic corrosion compared to X70 steel.Practical implicationsThe main contribution of this study is to provide a decision-support tool to help pipeline constructors enhance the profitability of natural gas transmission pipelines. The optimization method used is simple to use for design engineers during a feasibility study.Originality/valueThe present study presents one step to fill the gap concerning the question of balancing the trade-off between cost savings and structural reliability in high-strength steel pipelines during the early stages of feasibility studies. The optimal design and operations parameters ensuring cost savings on total life cycle costs are identified via an optimization method. The impact of selected optimal parameters on the long-term pipeline service life was estimated via a structural reliability analysis.

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“…Because of the large computational complexity of MINLP problems, stochastic tools have often been used. Kashani and Molaei 24 used a genetic algorithm (GA) to optimize a gas transportation network written in MILP form, tabu search was applied by Borraz-Sánchez and Ríos-Mercado, 25 and a GA combined with neural networks was suggested by Mohamadi-Baghmolaei et al 26 …”

Section: Introductionmentioning

confidence: 99%

Mixed Integer Linear Programming Optimization of Gas Supply to a Local Market

Mikolajková

Saxén

Pettersson

2018

Ind. Eng. Chem. Res.

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Remote or stranded areas that cannot be supplied by natural gas through transmission pipelines can access gas through terminals for liquefied natural gas (LNG), from where LNG is distributed by trucks or compressed and regasified into regional distribution networks. The gas supply may be further augmented by local biogas or synthetic natural gas. A model for optimization of such regional gas supply chains is presented in the paper, considering a combination of pipeline and truck delivery to a set of customers with given energy demands. After linearization, the task is formulated as a mixed integer linear programming (MILP) problem and is solved by state-of-the-art software. The model is illustrated on a regional energy supply problem considering seasonal variations in the demands. The results of the study demonstrate the role of the price of the local and alternative fuels and the price margins at which it is feasible to build an extensive pipeline network instead of supplying the fuel by trucks to storages connected to pipeline islands. The findings also give information about the influence on investment versus operation costs on the optimal design of the supply chain. The sensitivity of the optimal supply chain on the price of local and alternative fuels as well as on the unit price of pipes and storage tanks is studied to illustrate how optimization can be used to shed light on the feasibility of investment in new infrastructure and to support the decision making processes in the energy sector.

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Techno-economical and environmental optimization of natural gas network operation

Cited by 50 publications

References 18 publications

Assessment of optimal location for a centralized biogas upgrading facility

Assessment of optimal location for a centralized biogas upgrading facility

The optimum use of high-strength steel in the construction of gas transmission pipeline

Mixed Integer Linear Programming Optimization of Gas Supply to a Local Market

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