IFAC WORKSHOP ON INTEGRATION OF PROCESS DESIGN AND CONTROL (IPDC'94)

Keyword(s):  
1996 ◽  
Vol 20 (4) ◽  
pp. 447-452 ◽  
Author(s):  
O.L. Chacon-Mondragon ◽  
D.M. Himmelblau
Keyword(s):  

ICGSCE 2014 ◽  
2015 ◽  
pp. 253-261
Author(s):  
Mohamad Zulkhairi Nordin ◽  
Mohamad Dzulfadzli Jais ◽  
Mohamad Rizza Othman ◽  
Mohd Kamaruddin Abd Hamid

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 288 ◽  
Author(s):  
Jin Zhang ◽  
Sofia Garcia Fracaro ◽  
Donald J. Chmielewski

The Integrated Gasification Combined Cycle (IGCC) possesses a number of advantages over traditional power generation plants, including increased efficiency, flex-fuel, and carbon capture. A lesser-known advantage of the IGCC system is the ability to coordinate with the smart grid. The idea is that process modifications can enable dispatch capabilities in the sense of shifting power production away from periods of low electricity price to periods of high price and thus generate greater revenue. The work begins with a demonstration of Economic Model Predictive Control (EMPC) as a strategy to determine the dispatch policy by directly pursuing the objective of maximizing plant revenue. However, the numeric nature of EMPC creates an inherent limitation when it comes to process design. Thus, Economic Linear Optimal Control (ELOC) is proposed as a surrogate for EMPC in the formulation of the integrated design and control problem for IGCC power plants with smart grid coordination.


1998 ◽  
Vol 31 (11) ◽  
pp. 631-636
Author(s):  
Ioannis K. Kookos ◽  
Argyrios I. Lygeros

2014 ◽  
Vol 625 ◽  
pp. 470-473 ◽  
Author(s):  
Mohamad Zulkhairi Nordin ◽  
Mohamad Dzulfadzli Jais ◽  
Mohd Kamaruddin Abd Hamid

The objective of this paper is to develop a sustainable integrated process design and control methodology for a distillation column system. The sustainable integrated process design and control problem for a distillation column system is typically formulated as a mathematical programming (optimization with constraints) problem, and solved by decomposing it to six sequential hierarchical sub-problems: (i) pre-analysis, (ii) design analysis, (iii) controller design analysis, (iv) sustainability analysis, (v) detailed economics analysis and (vi) final selection and verification. The results through case study of benzene-toluene separation process shows the proposed methodology is capable to find the optimal solution that satisfies design, control, sustainability and economic criteria in a simple and efficient way.


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