Comparison of multi-objective optimization techniques applied to off-gas management within an integrated steelwork

Porzio, Giacomo Filippo; Nastasi, Gianluca; Colla, Valentina; Vannucci, Marco; Branca, Teresa Annunziata

doi:10.1016/j.apenergy.2014.06.086

Cited by 51 publications

(13 citation statements)

References 27 publications

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“…To create the Pareto front, a discretized approach successively constraining emissions while keeping cost minimization as the objective was used. Porzio et al used this model to compare results from an evolutionary algorithm to those from the LP model for multiobjective by‐product gas distribution optimization. The LP model was found to be superior to the evolutionary algorithm in computation time and objective value.…”

Section: By‐product Gas Distributionmentioning

confidence: 99%

A Review of Mathematical Programming in Integrated Iron‐ and Steelmaking

Beek

2018

Chemie Ingenieur Technik

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This paper presents and reviews the current application fields of mathematical programming in integrated iron‐ and steelmaking research. Three different fields of mathematical programming applications are identified and discussed: unit operation optimization, by‐product gas distribution, and integrated system optimization and design. Based on current research activities in the iron and steel industry, development trends for mathematical programming in integrated iron‐ and steelmaking research, such as the cogeneration of chemicals aided by renewable energy grid integration, are presented.

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Section: By‐product Gas Distributionmentioning

confidence: 99%

A Review of Mathematical Programming in Integrated Iron‐ and Steelmaking

Beek

2018

Chemie Ingenieur Technik

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“…Coupled chemical production is not a part of this polygeneration system. Porzio et al [12] compared two approaches of a multi-objective optimization model to minimize the overall cost and CO 2 emissions of a steel mill. The time-dependent off-gas distributions consider flares, gas storages, power plants, and steel mill processes.…”

Section: Introductionmentioning

confidence: 99%

Ecologic Potential for Flexible Methanol Production from Steel Mill Off‐gases

Sadlowski

Beek

2020

Chemie Ingenieur Technik

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Methanol production is one promising way to minimize the ecological impact of the conventional steelmaking process. This synthesis needs additional hydrogen, preferably produced from a green power source. In this paper, the influence of different power supply scenarios, gas storage volumes, and hydrogen production capacities on the overall carbon saving potential – defined as carbon binding ratio – from a flexible methanol production case will be investigated. A mixed‐integer linear programming model with rolling horizon is used to calculate the optimal production plan.

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“…When the optimization problems require to consider multiple counteracting objectives, among which a suitable trade-off is searched, multi-objective optimization techniques can be successfully applied [29]. PI can be also used in combination with Life-Cycle Assessment (LCA) in order to evaluate the environmental benefits beyond the process itself [30].…”

Section: Introductionmentioning

confidence: 99%