2009
DOI: 10.1016/j.applthermaleng.2008.11.001
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Mixed Integer Nonlinear Programming model for the optimal design of fired heaters

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Cited by 24 publications
(19 citation statements)
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“…In this regard, achieving higher thermal efficiencies is the main concern in designing and also during operation. Due to significant energy consumption in such systems, a minor improvement in thermal efficiency would lead to considerable savings [1]. Increasing the area of heating surfaces could be achieved by means of multiple-stream for process flow, which is a common way to obtain higher efficiencies [2].…”
Section: Introductionmentioning
confidence: 99%
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“…In this regard, achieving higher thermal efficiencies is the main concern in designing and also during operation. Due to significant energy consumption in such systems, a minor improvement in thermal efficiency would lead to considerable savings [1]. Increasing the area of heating surfaces could be achieved by means of multiple-stream for process flow, which is a common way to obtain higher efficiencies [2].…”
Section: Introductionmentioning
confidence: 99%
“…More detailed mathematical can be developed based on semi-empirical heat and mass transfer, including operational and geometric parameters for the process design applications. Such models comprise many different discrete and continuous parameters that could be optimized by solving a mixed-integer nonlinear programming (MINLP) problem to achieve the best and feasible solutions [1,16]. This type of models also can be used for the furnace design but are not very suitable for other applications.…”
Section: Introductionmentioning
confidence: 99%
“…Overall efficiency improvement using process heat below pinch for air preheater is also discussed. Mussati et al [7] have proposed a mixed integer nonlinear model for designing a fired heater. Morales-Fuentes et al [8] have studied the effect of fouling on the performance of a fired heater.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, Mussati et al integrated these design options into a mathematical optimization problem, which was solved by using mixed integer nonlinear programming [6]. Nevertheless, these approaches rely on process knowledge and experience of the designers, thus the level of success strongly depends on the know-how [2,5].…”
Section:  Equipment Is Repaired or Replacedmentioning
confidence: 99%
“…However, due to the difficulty in on-line optimization with dynamic operating conditions, these methods have not achieved wide applications in practice, especially for the limited maintenance resources case. Because, 6 (1) The dominant error-based PID control does not work well and often results in large overshoot and long-time disturbance because of frequent control action, especially in the presence of large and frequent changes in thermal load. Moreover, the flue gas -air control system is highly nonlinear with poor sensitivity in the actuators (in many field refineries, the adjustment of inflow air is realized by butterfly valve, and the control of negative pressure is realized by the outlet baffle), which even worsen the control performance, due the control action is not timely realized in high precision.…”
Section: Fig 1 the Thermal Efficiency As A Function Of The Excess Amentioning
confidence: 99%