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15.1 MB
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5821FE76FE3030645B3B1637CEC1AEA3FEA3E9AA
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April 20, 2026, 10:04 a.m.
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(Last updated: April 20, 2026, 10:07 a.m.)
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| Gomez-Castro F. Optimization in Chemical Engineering...2025.pdf | 15.1 MB |
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SOURCE: Gomez-Castro F. Optimization in Chemical Engineering...2025
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MEDIAINFO
Textbook in PDF format Optimization is an area in constant evolution. The search for robust optimization techniques to deal with the highly non-convex models that represent the systems related to Chemical Engineering has led to important advances in the area. The need for developing economically feasible processes which are simultaneously environmentally friendly, safe, and controllable requires for adequate optimization strategies. Moreover, finding a global optimum is still a challenge for a diversity of cases. Thus, this book presents a compilation of classic and emerging optimization techniques, focusing on their application to systems related to the Chemical Engineering. The book shows the applications of classic mathematical programming, metaheuristic optimization methods and machine learning-based strategies. The analysis of the described techniques allows the reader identifying the advantages and disadvantages of each approach. Moreover, the book will discuss the perspectives for future developments on the area. Condenses the state-of-the-art in optimization methodologies. Discusses the challenges in the optimization of Chemical Engineering-related systems. Compiles the experience of highly recognized researchers in the area. Optimization and its importance for chemical engineers: challenges, opportunities, and innovations Deterministic optimization of distillation processes Optimal design of process energy systems integrating sustainable considerations Metaheuristics for the optimization of chemical processes Surrogate-based optimization techniques for process systems engineering Data-driven techniques for optimal and sustainable process integration of chemical and manufacturing systems Applications of Bayesian optimization in chemical engineering Sensitivity assessment of multi-criteria decision-making methods in chemical engineering optimization applications Hybrid optimization methodologies for the design of chemical processes Optimization under uncertainty in process systems engineering Optimal control of batch processes in the continuous time domain Supply chain optimization for chemical and biochemical processes Future insights for optimization in chemical engineering
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