Resource recovery from bio-based production processes: a future necessity?

Mansouri, Seyed Soheil; Udugama, Isuru A.; Cignitti, Stefano; Mitić, Aleksandar; Flores-Alsina, Xavier; Gernaey, Krist V.

doi:10.1016/j.coche.2017.06.002

Cited by 39 publications

(26 citation statements)

References 51 publications

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“…Also, low-grade waste heat rejected from other processes can be additionally used to increase the refrigerant production, which is, in fact, a remarkable feature of multi-stage configurations. This facilitates waste heat recovery as a means of implementing a circular economy strategy [33,34]. The streams #18 and #7 (refrigerant vapors) transfer their heat into the condenser COND.…”

Section: Process Descriptionmentioning

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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Section: Process Descriptionmentioning

confidence: 99%

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

et al. 2019

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“…(54) ensures single bonds between groups. The parameter n i (1) is the number of first-order groups G 1 of set i in the target molecule, υ i is the valency of group i and q is assigned the value of 1, 0 or -1 for acyclic, monocyclic or bicyclic groups, respectively. Bicyclic groups with or without branches require additional constraints.…”

Section: Appendix: Key Conceptsmentioning

confidence: 99%

“…Bicyclic groups with or without branches require additional constraints. Additional constraints may be placed on the number (n i (1) ) of groups to keep it within lower and upper bounds,…”

Section: Appendix: Key Conceptsmentioning

confidence: 99%

Systematic Optimization-Based Integrated Chemical Product–Process Design Framework

Cignitti

Mansouri

Woodley

et al. 2018

Ind. Eng. Chem. Res.

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“…In-depth discussions on incentives directed toward the evolution of an integrated approach for enterprise-wide sustainability and the incorporation of the process economics and technology readiness for resource recovery technology can be found elsewhere. 1,2 Decisions made at the design level of the process are highly correlated to those made at the control level. Process design and process controllability are inherently related though these aspects are often treated independently and may lead to unsatisfactory outcomes.…”

Section: Introductionmentioning

confidence: 99%

A trust‐region framework for integration of design and control

Rafiei

Ricardez‐Sandoval

2020

AIChE Journal

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A trust‐region approach is presented to address the simultaneous design and control of large‐scale systems under uncertainty. The key idea is to represent the system using power series expansions (PSEs) as piecewise models in an iterative manner while the validity of those expansions is certified in a trusted region. The mean of squared errors is used as a metric to quantify the accuracy of the PSE approximations. Identified search regions specify the boundaries of the decision variables for the PSE‐based optimization problems. The proposed algorithm shows a significant accomplishment in locating dynamically feasible and near‐optimal design and operating conditions. The proposed approach was tested in a wastewater treatment plant and the Tennessee Eastman process. The results indicate that the proposed methodology leads to more economically attractive and reliable designs while maintaining the dynamic operability of the system in the presence of disturbances and uncertainty.

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Resource recovery from bio-based production processes: a future necessity?

Cited by 39 publications

References 51 publications

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

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

Systematic Optimization-Based Integrated Chemical Product–Process Design Framework

A trust‐region framework for integration of design and control

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