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Simulation and Optimization of Poly-Generation Energy Systems Through Methanol Plants

Moradi Aliabadi, Majid | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42024 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza
  7. Abstract:
  8. Ever-increasing energy consumption and consequent extensive greenhouse gas (GHG) emissions have become two major global challenges for all human beings in the 21st century. If this trend of increasing energy consumption continues, our primary energy reserves willbe exhausted very soon.One solution is, shift of primary energy resources from fossil fuels to renewable energy could greatly reduce the current heavy dependence upon fossil fuels. Renewable energies have small share in the global energy market, therefore couldn't be a main method in the mid-term. Because of the low efficiency and consequent extensive GHG emissions of the conventional power generation that producing major amount of needed energy, required basic changes. Polygeneration energy systems are a solution and suitable substitution for these systems. the overall energy utilization of a polygeneration plant is expected to be higher than the overall efficiency of stand-alone plants, producing the same products. also, Polygeneration provides options for low/zero GHG emissions. A case study of these systems is a polygeneration plant which co-produces methanol and electricity. Due to the high degree of integration and coupling between the power generation and chemical synthesis parts, determining the optimal configuration, design of a polygeneration energy systems and more important, optimization process streams (in steady state) are considered .For optimal configuration, a superstructure of coal-based polygeneration process producing electricity and methanol is considered and by pattern of mixed integer programing, converted to optimization problem with profit objective function. By solution this problem, the best configuration is obtained. Finally, optimal operational conditions for this system with efficiency objective function are obtained. Aspen plus software used for simulation superstructure
  9. Keywords:
  10. Simulation ; Optimization ; Profit Function ; Cogeneration

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