A Novel MILP Model for Plantwide Multiperiod Optimization of Byproduct Gas Supply System in the Iron- and Steel-Making Process

Kim, J.H.; Yi, Hee; Han, Chonghun

doi:10.1205/026387603322482248

Cited by 91 publications

(23 citation statements)

References 9 publications

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“…Other studies such as [24,25] focus on the development of mathematical plant models in order to run subsequent optimisation steps in a more efficient and reliable way through MILP -Mixed Integer Linear Programming -solvers or dedicated optimisation modules. For instance, Kim et al [26] suggested a MILP model for plant-wide multiperiod optimisation for the simultaneous optimisation of by-product gasholder level control and by-product gas distribution to determine the optimal fuel load change according to different fuel types. A MILP model was presented also by Kong et al [27] which focuses on reducing total operation cost in the entire energy system of an integrated iron and steel plant for multiperiod operation through optimising by-product gas distribution.…”

Section: Introductionmentioning

confidence: 99%

Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry

et al. 2013

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Section: Introductionmentioning

confidence: 99%

Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry

et al. 2013

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“…In order to access the maximum load shifting potential of the byproduct gas system, the gasholders are required to fully utilize their storage ability [5,17], and the safety of the gasholders is ensured by constraints defined in Section 3.2.3 [18,19].…”

Section: Problem Statementsmentioning

confidence: 99%

Collaborative Scheduling between OSPPs and Gasholders in Steel Mill under Time-of-Use Power Price

2017

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Byproduct gases generated during steel production process are the main fuels for on-site power plants (OSPPs) in steel enterprises. Recently, with the implementation of time-of-use (TOU) power price in China, increasing attention has been paid to the collaborative scheduling between OSPPs and gasholders. However, the load shifting potential of OSPPs has seldom been discussed in previous studies. In this paper, a mixed integer linear programming (MILP)-based scheduling model is built to evaluate the load shifting potential and the corresponding economic benefits. A case study is conducted on two steel enterprises with different configurations of OSPPs, and the optimal operation strategy is also discussed.

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“…Akimoto K early in 1991 on the use of Mixed Integer Programming method established the best gas plant model [2], and Kawasaki, Japan Iron and Steel Plant Optimization byproduct gas distribution and gas counters counter control study; Alberto Bemporad Dr. in 1999 through the Mixed Logical Dynamical Systems Modeling methods applied to the steel plant gas system [3]; Jeong Hwan Kim in 2002, established a steel plant by-product gas distribution and gas counters best counter MILP optimization model for optimal control [4,5], at the same time with the establishment of the optimal model Akimoto compared.…”

Section: Gas Systems Management Researchmentioning

confidence: 99%

Dynamic Management on Gas System in Iron and Steel Plant

Cai

Jun

Zhang

2009

2009 International Conference on Energy and Environment Technology

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This paper analyzes gas system management status of China's iron and steel plant, noting that to achieve the dynamic management of the two major difficulties, and against the backdrop of a model plant, proposed a set of manage method that based on the management system, data processing and the establishment of Gas system dynamic model and simulation model, and ultimately to achieve the dynamic prediction and dynamic adjustment of surplus gas fluctuations. Application in model plant has proved that the dynamic management can effectively alleviate the impact of surplus gas fluctuations.

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A Novel MILP Model for Plantwide Multiperiod Optimization of Byproduct Gas Supply System in the Iron- and Steel-Making Process

Cited by 91 publications

References 9 publications

Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry

Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry

Collaborative Scheduling between OSPPs and Gasholders in Steel Mill under Time-of-Use Power Price

Dynamic Management on Gas System in Iron and Steel Plant

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