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Model for Evaluation of Optimal Allocation of Natural Gas Resources in Iran

Mohammad Alizadeh Arani, Ahmad | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 44762 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Saboohi, Yadollah
  7. Abstract:
  8. Structural changes in the energy sector, including the need to diversify sources of energy supply, security of supply, energy consumption growth in developing countries, rising oil prices and the exhaustibility of fossil fuel reserves, environmental issues, increased consumption of petrochemical products etc., has led to increased share of natural gas in primary energy supply. Iran has a wide range of options to use natural gas endowment. The present research aims to develop a model for optimal allocation of natural gas to various applications.The gas distribution system is modeled in the present study. Technical onstraints together with economic characteristics are considered in the model. Multiple options of natural gas utilization and their value added are included in the model. Upon identification of system boundaries and providing demand for natural gas, optimal allocation between alternative options of utilization of natural gas is obtained. Results of the present study indicate that continued growth in natural gas consumption, without improving efficiencies, causes negative natural gas balance, even with significant increase in gas production capacity. Time preference of resource extraction depends on discount rate and the value added generated by use of natural gas. It means that the higher the discount rate, or the more value extracted from natural gas, the resource is utilized sooner. Natural gas consumption priority is in sectors with higher added value such as iron casting, plastics manufacturing, chemical products manufacturing (except fertilizers), gas injection into oil fields and electricity export
  9. Keywords:
  10. Energy Modeling ; Optimum Allocation ; Natural Gas ; Mathematical Programming ; Nature Gas Value Chain

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