Hydrogen distribution network optimization: a refinery case study

Fonseca, André; Sá, Vítor J.; Bento, Hugo; Tavares, Manuel L.C.; Pinto, Gilberto; Gomes, Luísa A.C.N.

doi:10.1016/j.jclepro.2007.11.003

Cited by 77 publications

(35 citation statements)

References 4 publications

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“…The design problem is formulated as a linear programming problem using linear cost correlations. This approach, based on the concept of hydrogen surplus and linear programming, has been successfully applied to address the problem of hydrogen distribution at the Porto Refinery of the GALP ENERGIA network by Fonseca et al (2008).…”

Section: Hydrogen Pinch Analysis and Design Of Hydrogen Networkmentioning

confidence: 99%

Modelling and optimisation for design of hydrogen networks for multi-period operation

Ahmad

Zhang

Jobson

2010

Journal of Cleaner Production

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Section: Hydrogen Pinch Analysis and Design Of Hydrogen Networkmentioning

confidence: 99%

Modelling and optimisation for design of hydrogen networks for multi-period operation

Ahmad

Zhang

Jobson

2010

Journal of Cleaner Production

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“…Hallale and Liu [8] proposed a mathematical approach for determining the minimum utility consumption and the maximum recovery of the hydrogen network. Fonseca et al [9] employed the linear programming model to optimize a hydrogen network refinery, leading to a 30 % reduction in hydrogen utility usage. Khajehpour et al [2] proposed objective functions that minimize waste flows containing hydrogen and reduce hydrogen production.…”

Section: Background and Previous Work On Hydrogen Managementmentioning

confidence: 99%

Off‐Gases Optimization in a Hydrogen Network Refinery

Birjandi

Shahraki

2011

Chem Eng & Technol

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For optimization of a hydrogen network, a steam reformer is associated to the feedstock and linear programming (LP) is applied. The investigated network consists of one steam reformer and two feedstocks. By exerting LP and the mentioned association, total annual cost decreasing is achieved in a case study in which natural gas and off-gas were considered as feedstocks. The optimization problems of the hydrogen network comprise the hydrogen network retrofit design and the feedstock selection with respect to their cost. Nonlinear programming (NLP) and mixed-integer nonlinear programming (MINLP) models are developed for optimization based on a two-case study: for the first one, an existent optimization method on hydrogen networks is investigated and for the second one, revision of a recent optimization method on hydrogen networks associated by an LP model in the steam reformer unit is applied. These two cases resulted in total annual cost reductions of 34 % and 45.9 %, respectively.

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“…First, the GCA technique does not allow the user to represent multiple source and demand streams having the same purity as separate streams with individual flow rates but lumps it together. This prevents the user from understanding the effects of changing the flow rate of an individual stream, making it difficult to do a sensitivity analysis [22]. Secondly, it is important to label each stream with a name, which the GCA technique does not do.…”

Section: Introductionmentioning

confidence: 99%

“…Secondly, it is important to label each stream with a name, which the GCA technique does not do. Third, to identify the pinch, the GCA technique still requires an initial assumption of a fresh hydrogen flow rate and goes through two iterations [14][15][16]22].…”

Section: Introductionmentioning

confidence: 99%

Hydrogen Pinch Analysis of a Petroleum Refinery as an Energy Management Strategy

Oduola

Oguntola²

2015

AJCHE

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Abstract:The glaring need for energy management in a petroleum refining industry is as a result of significant refinery energy costs, typically 40-50% of operating costs. Consequently, energy auditing is frequently carried out to identify energy management opportunities for higher profitability. Hydrogen management in a refining plant by means of the hydrogen pinch analysis approach aimed at identifying the optimum hydrogen network has been recognized as an effective way of optimizing the processes. The numerous benefits of hydrogen management include maximum processing revenue as a result of reduced hydrogen system operating costs and production benefits, minimum capital investment, reduced carbon dioxide emissions, and more importantly, up to 20% cost savings from energy efficiency improvements. Hydrogen pinch technology has been employed in this study to discover optimum hydrogen distribution systems which can be a potential energy management opportunity in a refining industry. The goal was to identify shortcomings in the hydrogen distribution of the system so as to improve the energy utilization of the plant. Analysis of the case study resulted in identification of optimum hydrogen target for the system. Achieving the target will reduce the power consumption of the catalytic reforming unit by 10.8% and also help to conserve hydrogen use by more than 20%. Implementation of suggestions for efficient utilization of energy made will increase the profit as well as the operating costs. However, there will be annual increase in marginal revenue as the profit is considerably greater than the operating costs. The payback period and return on investment (ROI) of these suggestions are less than 3yrs and 28% -44% (depending on the option adopted) respectively. Another significant advantage of the project is that it will reduce the gas flaring and helps prepare the refinery for future environmental challenges.

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Hydrogen distribution network optimization: a refinery case study

Cited by 77 publications

References 4 publications

Modelling and optimisation for design of hydrogen networks for multi-period operation

Modelling and optimisation for design of hydrogen networks for multi-period operation

Off‐Gases Optimization in a Hydrogen Network Refinery

Hydrogen Pinch Analysis of a Petroleum Refinery as an Energy Management Strategy

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