2022
DOI: 10.1016/j.ifacol.2022.04.171
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Optimizing methane and methanol production from integrated steelworks process off-gases through economic hybrid model predictive control

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Cited by 6 publications
(5 citation statements)
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“…To ensure the optimal management of the synthesis reactors operation when implemented in steelworks, a dispatch controller was developed and tested [31].…”
Section: Reactors and Dispatch Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…To ensure the optimal management of the synthesis reactors operation when implemented in steelworks, a dispatch controller was developed and tested [31].…”
Section: Reactors and Dispatch Controllermentioning
confidence: 99%
“…A dispatch controller was developed to ensure safe operation of the synthesis reactors and efficient distribution of the POGs between internal steelworks users, power plant and synthesis reactors by simultaneously addressing dynamic constraints of steelworks, reactors and electricity grid services (strictly linked with green hydrogen production). [31]; the controller concept is depicted in Figure 5. The controller integrates a set of process and forecasting models based on physical/chemical principles and machine learning [37], implements a Mixed Integer Linear Programming (MILP) approach and includes a set of constraints related to the limit ranges of the operating conditions of each involved equipment/process unit (Tab.…”
Section: Dispatch Controller For Optimal Management Of Syntheses Reac...mentioning
confidence: 99%
“…The DC was developed through a methodology based on the economic hybrid model predictive control (EHMPC) [55], which maximizes revenues and minimizes environmental impact while complying with the constraints of each plant and process. Details on the design strategy, mathematical implementation and preliminary results were presented in the paper of some of the authors [56], where the main characteristics were reported. The optimization problem is formulated as a mixed integer linear programming (MILP) for a receding horizon, where the cost function to be maximized is calculated as follows:…”
Section: Dispatch Controller At Ict-coisp Center Of Tecip Institute O...mentioning
confidence: 99%
“…The first phase of the simulation campaign was devoted to a fine tuning of the controller and optimizer parameters to balance the aggressiveness of the control action on the plants and the computational time; some simulated control trends were reported in [56,59] where the results of a preliminary investigation on economic cost improvement were also presented. In [59], the authors reported a first attempt at sensitivity analysis, varying the price of renewable sources of electricity for producing green hydrogen, and an estimate of CO 2 emission reductions.…”
Section: Definition Of Scenariosmentioning
confidence: 99%
“…This skips the step of separation, but leads to other challenges. As the new customers for steel gases are in competition with their previous internal use, a dynamic prediction of the gas volume flows generated in the steel production process and their intelligent distribution to the different plants, adapted to the current market situation, becomes necessary [20][21][22][23][24]. Furthermore, for methanol or methane synthesis, hydrogen must be provided economically at the steelworks' site in addition to the carbon source (BFG/BOFG) in order to be able to set the respective preferred stoichiometric ratio for the reactions [25][26][27] and the reactors used must be able to handle the unconventional feed gases (mixture of CO and CO 2 , high inert gas content of N 2 ).…”
Section: Introductionmentioning
confidence: 99%