Loading...

Enhancing Energy Efficiency in Ideal Binary Distillation tower with a Dynamic Process Intensification

Hosseinpour, Ali | 2024

9 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56843 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Vafa, Ehsan
  7. Abstract:
  8. In this thesis titled "Enhancing Energy Efficiency in Ideal Binary Distillation tower with a Dynamic Process Intensification," operational methods in distillation units are explored and improved. Given the high cost of energy, limited energy resources, and environmental considerations, increasing energy efficiency in process industries has become significantly important. In this context, this research attempts to enhance the performance of the distillation unit by utilizing dynamic process intensification with two operational points corresponding to the production of products with purities both higher and lower than the desired product purity, and switching between these two points. The project employs two approaches: decentralized single-loop control using PID controllers and model-based predictive control, to investigate efficiency improvements in the distillation tower. The results indicate that the use of model-based predictive control leads to better performance in reducing energy consumption of the binary distillation unit of methanol and 1-propanol. Compared to steady-state operation, employing a dynamic operational approach under decentralized single-loop control systems and model-based predictive control, while maintaining the quality and quantity of production, leads to energy savings of 1.5% and 4.5%, respectively
  9. Keywords:
  10. Model Predictive Control ; Process Intensification ; Energy Efficiency ; Binary Ideal Distillation Tower ; Dynamic Intensification ; Proportional-Integral-Derivative (PID)Controller ; Model-Based Predictive Control

 Digital Object List

 Bookmark

No TOC