Impact of tightening the sulfur specifications on the automotive fuels’ contribution: A French refinery case study

Moghaddam, Alireza Tehrani Nejad; Saint-Antonin, Valérie

doi:10.1016/j.enpol.2008.01.045

Cited by 10 publications

(4 citation statements)

References 19 publications

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“…In today´s refineries, highconcentration sources typically account for a relatively small share of the total CO 2 emissions from the refining process. However, the combined effect of a continued increase in the diesel/gasoline ratio, tightening of the sulphur specifications and an increase in the CO 2 price will lead to increased utilization of hydrogen (mainly as feedstock for hydro processing units but perhaps also as a fuel in the process furnaces and boilers) and, thus, increase the share of CO 2 emissions from high-concentration sources (further analysed in [33,77]). This development will also lead to that the use of the energy-intensive units in the refining process (e.g.…”

Section: Discussionmentioning

confidence: 99%

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Assessment of strategies for CO2 abatement in the European petroleum refining industry

Johansson

Rootzén

Berntsson

et al. 2012

Energy

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Section: Discussionmentioning

confidence: 99%

“…This would involve increased processing intensity and consequently, increased energy use and associated CO 2 emissions (see e.g. [33]).…”

Section: Key Market Trendsmentioning

confidence: 99%

Assessment of strategies for CO2 abatement in the European petroleum refining industry

Johansson

Rootzén

Berntsson

et al. 2012

Energy

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“…Typically, optimization models in the chemical industry and engineering applications focus on optimization of economic objective functions [13,14]. A study [15] presents the results of the developed computational model, which was used to assess the increase in CO 2 emissions resulting from the reduction of sulfur content in fuels. In general, the approach to the problem of incorporating LCA into optimization consists of three main steps: (i) Conducting a life cycle assessment study, (ii) formulating and solving an optimization problem, and (iii) selecting the most advantageous solution.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Potential for Reducing Life Cycle Greenhouse Gas Emissions from Motor Fuels

Rogowska

Wyrwa

2021

Energies

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The assessment of life cycle greenhouse gas emissions of motor fuels is important due to the legal obligations and corporate social responsibility of the petroleum industry. Combining the Life-Cycle Assessment with optimization methods can provide valuable support in the decision-making process. In this paper, a mathematical model of a refinery was developed to analyze the impact of process optimization on GHG emissions at the fuel production stage. The model included ten major refinery units. Fuel production costs were minimized by taking into account the number of constraints. The analysis was performed in two steps. First, the model was run for the reference case of fuels composition. Then, more than twelve thousand model runs were performed. In each model, the fuel composition was changed. This change represented the exogenous pressures and resulted in different flows of mass, energy and GHG emission at the refinery. The most favorable results in terms of GHG emissions were then identified and analyzed. Additionally, the impact of using low-carbon fuels for process heating was evaluated. The study showed that fuel blending management could lead to the reduction of GHG emissions by 0.4 gCO2-eq/MJ while the use of low-carbon fuel for process heating results in a reduction of GHG emissions by 2 ca. gCO2-eq/MJ.

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“…In this LP model, the constraints are categorized into material and quality balance constraints, product specification constraints, crude availability constraints and process units capacity constraints. The linear objective function consists in maximizing the net profit of the oil refining operations (for more details, see Tehrani Nejad and Saint Antonin [15]). Cplex is the used solver.…”

Section: Case Studymentioning

confidence: 99%

Shedding Light on Non Binding Constraints in Linear Programming: An Industrial Application

Moghaddam¹,

Monier²

2018

AJOR

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In Linear Programming (LP) applications, unexpected non binding constraints are among the "why" questions that can cause a great deal of debate. That is, those constraints that are expected to have been active based on price signals, market drivers or manager's experiences. In such situations, users have to solve many auxiliary LP problems in order to grasp the underlying technical reasons. This practice, however, is cumbersome and time-consuming in large scale industrial models. This paper suggests a simple solution-assisted methodology, based on known concepts in LP, to detect a sub set of active constraints that have the most preventing impact on any non binding constraint at the optimal solution. The approach is based on the marginal rate of substitutions that are available in the final simplex tableau. A numerical example followed by a real-type case study is provided for illustration.

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Impact of tightening the sulfur specifications on the automotive fuels’ contribution: A French refinery case study

Cited by 10 publications

References 19 publications

Assessment of strategies for CO2 abatement in the European petroleum refining industry

Assessment of strategies for CO2 abatement in the European petroleum refining industry

Analysis of the Potential for Reducing Life Cycle Greenhouse Gas Emissions from Motor Fuels

Shedding Light on Non Binding Constraints in Linear Programming: An Industrial Application

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