A discrete and continuous mathematical model for the optimal synthesis and design of dual pressure heat recovery steam generators coupled to two steam turbines

Manassaldi, Juan I.; Arias, Ana Marisa; Scenna, Nicolás J.; Mussati, Miguel C.; Mussati, Sergio F.

doi:10.1016/j.energy.2016.02.129

Cited by 37 publications

(19 citation statements)

References 41 publications

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“…The application of the here proposed model-based optimization approach has been successfully applied by the authors in other processes such as single-purpose seawater desalination plants [34][35][36], dual-purpose desalination plants [37,38], combined cycle power plants [39,40], amine-based CO 2 capture processes [41,42], biological wastewater treatment plants [43,44], real-time optimization in energy systems [45], liquid biofuel processors for H 2 production coupled to stationary fuel cells [46,47] and its associated heat exchanger network for optimal energy integration [48]. For instance, based on process models, this approach allowed to find a new cost-effective configuration for multi-stage flash desalination processes [35,36], which differ from the conventional configuration in the locations of distillate, recycle, and discharge streams.…”

Section: Sensitivity Of the Optimal Solution To The H 2 Product Puritmentioning

confidence: 99%

“…For instance, based on process models, this approach allowed to find a new cost-effective configuration for multi-stage flash desalination processes [35,36], which differ from the conventional configuration in the locations of distillate, recycle, and discharge streams. In combined cycle power plants [39,40], the simultaneous optimization approach allowed to find a new layout for the heat recovery steam generator (HRSG), which differs from the conventional configuration in the way in which heat exchangers (economizers, evaporators, and superheaters) are interconnected between them.…”

Section: Sensitivity Of the Optimal Solution To The H 2 Product Puritmentioning

confidence: 99%

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Optimal Design of a Two-Stage Membrane System for Hydrogen Separation in Refining Processes

Arias¹,

Scenna

et al. 2018

Processes

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This paper fits into the process system engineering field by addressing the optimization of a two-stage membrane system for H 2 separation in refinery processes. To this end, a nonlinear mathematical programming (NLP) model is developed to simultaneously optimize the size of each membrane stage (membrane area, heat transfer area, and installed power for compressors and vacuum pumps) and operating conditions (flow rates, pressures, temperatures, and compositions) to achieve desired target levels of H 2 product purity and H 2 recovery at a minimum total annual cost. Optimal configuration and process design are obtained from a model which embeds different operating modes and process configurations. For instance, the following candidate ways to create the driving force across the membrane are embedded: (a) compression of both feed and/or permeate streams, or (b) vacuum application in permeate streams, or (c) a combination of (a) and (b). In addition, the potential selection of an expansion turbine to recover energy from the retentate stream (energy recovery system) is also embedded. For a H 2 product purity of 0.90 and H 2 recovery of 90%, a minimum total annual cost of 1.764 M$·year −1 was obtained for treating 100 kmol·h −1 with 0.18, 0.16, 0.62, and 0.04 mole fraction of H 2 , CO, N 2 , CO 2 , respectively. The optimal solution selected a combination of compression and vacuum to create the driving force and removed the expansion turbine. Afterwards, this optimal solution was compared in terms of costs, process-unit sizes, and operating conditions to the following two sub-optimal solutions: (i) no vacuum in permeate stream is applied, and (ii) the expansion turbine is included into the process. The comparison showed that the latter (ii) has the highest total annual cost (TAC) value, which is around 7% higher than the former (i) and 24% higher than the found optimal solution. Finally, a sensitivity analysis to investigate the influence of the desired H 2 product purity and H 2 recovery is presented. Opposite cost-based trade-offs between total membrane area and total electric power were observed with the variations of these two model parameters. This paper contributes a valuable decision-support tool in the process system engineering field for designing, simulating, and optimizing membrane-based systems for H 2 separation in a particular industrial case; and the presented optimization results provide useful guidelines to assist in selecting the optimal configuration and operating mode.

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Section: Sensitivity Of the Optimal Solution To The H 2 Product Puritmentioning

confidence: 99%

Section: Sensitivity Of the Optimal Solution To The H 2 Product Puritmentioning

confidence: 99%

Optimal Design of a Two-Stage Membrane System for Hydrogen Separation in Refining Processes

Arias¹,

Scenna

et al. 2018

Processes

View full text Add to dashboard Cite

show abstract

“…Despite the fact that systematic computer-aided methods and mathematical programming techniques have been successfully employed to optimize energy processes [20][21][22][23][24][25], not that many publications can be found for ARS [5,9,[26][27][28][29][30]. These methods and techniques make it possible to optimize large mathematical models considering at the same time all the continuous and discrete decisions, which is one of the major advantages over parametric optimization approaches.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Cost Optimization of Double-Effect Water-Lithium Bromide Absorption Refrigeration Systems

et al. 2019

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This work presents optimization results obtained for a double-effect H2O-LiBr absorption refrigeration system considering the total cost as minimization criterion, for a wide range of cooling capacity values. As a model result, the sizes of the process units and the corresponding operating conditions are obtained simultaneously. In this paper, the effectiveness factor of each proposed heat exchanger is considered as a model optimization variable which allows (if beneficial, according to the objective function to be minimized) its deletion from the optimal solution, therefore, helping us to determine the optimal configuration. Several optimization cases considering different target levels of cooling capacity are solved. Among the major results, it was observed that the total cost is considerably reduced when the solution heat exchanger operating at low temperature is deleted compared to the configuration that includes it. Also, it was found that the effect of removing this heat exchanger is comparatively more significant with increasing cooling capacity levels. A reduction of 9.8% in the total cost was obtained for a cooling capacity of 16 kW (11,537.2 $·year−1 vs. 12,794.5 $·year−1), while a reduction of 12% was obtained for a cooling capacity of 100 kW (31,338.1 $·year−1 vs. 35,613.9 $·year−1). The optimization mathematical model presented in this work assists in selecting the optimal process configuration, as well as determining the optimal process unit sizes and operating conditions of refrigeration systems.

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“…The model is solved to determine the optimal arrangement for several case studies involving two and three pressure levels with and without steam reheating. Manassaldi et al [47] developed a MINLP model for the optimal synthesis and design of dual pressure HRSGs coupled into two steam turbines which allowed to obtain a more efficient configuration compared to the configuration obtained by Zhang et al [46] because of the fact that the proposed superstructure embedded more alternative configurations. Also, there are articles dealing with the study of combined cycles using biogas [49−52].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost

Manassaldi

Scenna

et al. 2018

Chemical Engineering Journal

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A discrete and continuous mathematical model for the optimal synthesis and design of dual pressure heat recovery steam generators coupled to two steam turbines

Cited by 37 publications

References 41 publications

Optimal Design of a Two-Stage Membrane System for Hydrogen Separation in Refining Processes

Optimal Design of a Two-Stage Membrane System for Hydrogen Separation in Refining Processes

Model-Based Cost Optimization of Double-Effect Water-Lithium Bromide Absorption Refrigeration Systems

Optimization of the design, operating conditions, and coupling configuration of combined cycle power plants and CO2 capture processes by minimizing the mitigation cost

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