Loading...

Optimization of Pulp and Paper Process in Order to Save Energy, Fuel and Capital Investment

Fani, Maryam | 2009

737 Viewed
  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 39996 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Farhanieh, Bijan; Mozafari, Aliasghar
  7. Abstract:
  8. By applying the Pinch Technology and Exergoeconomic simultaneously, to a complex process system, beneficial and energy-efficient measures are identified.In the present research “Three-link-model” Exergoeconomic methodology optimizes the system and contrary to traditional exergoeconomic methods, reversed method is used. The approach proposed for optimization of such a complex system is to iteratively optimize subsystems. Since assumptions considered by conventional Exergoeconomic for calculating the cost-optimal exergetic efficiency and relative cost difference, are not applicable, new assumptions are to be considered. Unlike traditional Exergoeconomic method, product’s exergetic specific cost is considered to be known and object will be to maximize fuel’s exergetic cost. Heat flow costs are calculated with assistance of Pinch analysis. The results have been compared with Evolutionary programming results in order to evaluate the accuracy. Artificial neural networks and genetic algorithm have been used to simulate and optimize a pulp and paper mill‘s recovery link. The plant is designed and simulated by neural networks modeling approach using the input-output data of the recovery link. For optimization of exergetic efficiency and fuel cost, multi objective genetic algorithm is used. Neural network with back-propagation learning algorithm in feed forward two hidden layers has been used. Pareto approach for multi objective optimization is used. By use of these methods recoverable black liquor could be increased by 7% Replacement of black liquor recovery boiler with gasifier has been studied. To study the economical and exergetic performance of black liquor gasification combined cycle, Exergoeconomic analyses has been used. Both conventional iterative Exergoeconomic optimization and multi objective Evolutionary optimization have been applied. The iterative optimization results have been compared with evolutionary programming results in order to evaluate the accuracy. In iterative Exergoeconomic and genetic algorithm optimization, exergetic efficiency increases by 7% and 5% respectively while the cost of product decreases by 3.3% and 4.3%.

  9. Keywords:
  10. Optimization ; Wood and Paper Industry ; Genetic Algorithm ; Neural Network ; Exergoeconomics ; Pinch Technology ; Gasification Process

 Digital Object List

 Bookmark