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Chapter 10 Optimization under uncertainty in process systems engineering

  • Urmila Diwekar
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Optimization in Chemical Engineering
Ein Kapitel aus dem Buch Optimization in Chemical Engineering

Abstract

Process systems engineering (PSE) covers a broad range of applications involving optimization amid uncertainty. These applications range from product development to chemical synthesis, process design, energy optimization, environmental management, and operational tasks such as scheduling, supply chain management, and control. Dealing with optimization under uncertainty poses significant challenges, requiring both optimization techniques and uncertainty analysis. This chapter introduces methods for quantifying uncertainty, sampling techniques for uncertainty analysis, and algorithms designed to tackle optimization problems in uncertain environments. Additionally, it explores the practical applications of these algorithms across various PSE areas.

Abstract

Process systems engineering (PSE) covers a broad range of applications involving optimization amid uncertainty. These applications range from product development to chemical synthesis, process design, energy optimization, environmental management, and operational tasks such as scheduling, supply chain management, and control. Dealing with optimization under uncertainty poses significant challenges, requiring both optimization techniques and uncertainty analysis. This chapter introduces methods for quantifying uncertainty, sampling techniques for uncertainty analysis, and algorithms designed to tackle optimization problems in uncertain environments. Additionally, it explores the practical applications of these algorithms across various PSE areas.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. List of contributing authors VII
  4. Chapter 1 Optimization and its importance for chemical engineers: challenges, opportunities, and innovations 1
  5. Chapter 2 Deterministic optimization of distillation processes 25
  6. Chapter 3 Optimal design of process energy systems integrating sustainable considerations 79
  7. Chapter 4 Metaheuristics for the optimization of chemical processes 113
  8. Chapter 5 Surrogate-based optimization techniques for process systems engineering 159
  9. Chapter 6 Data-driven techniques for optimal and sustainable process integration of chemical and manufacturing systems 215
  10. Chapter 7 Applications of Bayesian optimization in chemical engineering 255
  11. Chapter 8 Sensitivity assessment of multi-criteria decision-making methods in chemical engineering optimization applications 283
  12. Chapter 9 Hybrid optimization methodologies for the design of chemical processes 305
  13. Chapter 10 Optimization under uncertainty in process systems engineering 343
  14. Chapter 11 Optimal control of batch processes in the continuous time domain 379
  15. Chapter 12 Supply chain optimization for chemical and biochemical processes 401
  16. Chapter 13 Future insights for optimization in chemical engineering 425
  17. Index 445
https://doi.org/10.1515/9783111383439-010

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. List of contributing authors VII
  4. Chapter 1 Optimization and its importance for chemical engineers: challenges, opportunities, and innovations 1
  5. Chapter 2 Deterministic optimization of distillation processes 25
  6. Chapter 3 Optimal design of process energy systems integrating sustainable considerations 79
  7. Chapter 4 Metaheuristics for the optimization of chemical processes 113
  8. Chapter 5 Surrogate-based optimization techniques for process systems engineering 159
  9. Chapter 6 Data-driven techniques for optimal and sustainable process integration of chemical and manufacturing systems 215
  10. Chapter 7 Applications of Bayesian optimization in chemical engineering 255
  11. Chapter 8 Sensitivity assessment of multi-criteria decision-making methods in chemical engineering optimization applications 283
  12. Chapter 9 Hybrid optimization methodologies for the design of chemical processes 305
  13. Chapter 10 Optimization under uncertainty in process systems engineering 343
  14. Chapter 11 Optimal control of batch processes in the continuous time domain 379
  15. Chapter 12 Supply chain optimization for chemical and biochemical processes 401
  16. Chapter 13 Future insights for optimization in chemical engineering 425
  17. Index 445
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Heruntergeladen am 30.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783111383439-010/html
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