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Optimal Grid Expansion Planning of Iran’s Interconnected Water-Energy Networks with Renewable Energy Technologies Using a Mixed-Integer Linear Programming (MILP) Approach

Pooladsanj, Milad | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51475 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Nobakhti, Amin; Sharifzadeh, Mahdi
  7. Abstract:
  8. Energy and water are valuable resources that underpin human prosperity and are to a large extent, interdependent. Water is used in multiple phases of energy production and electricity generation, from fossil-fuel extraction, transport and processing,irrigating crops for biofuels, to providing cooling water for thermoelectric power plants. On the other hand, all such processes, alongside with other industrial and municipal water uses, require sufficient energy required to extract, treat, and deliver water.The key objective of this project is to maximize both water and energy economic potentials while considering the environmental impacts associated with their consumption. In this regard, renewable energy technologies play a key role in retrofitting the existing water and energy networks. Aside from minimal water consumption, these sources of energy have the potential to significantly reduce the couplings of water-energy nexus problem. Moreover, climate change, economic uncertainties, and population growth is considered for a better assessment of different aspects of the nexus. To illustrate the results, a holistic case study is implemented for the geographical region of Iran, where proportion of renewable water resources withdrawn is rapidly growing while total renewable water resources per capita is rather low. Comparing the Iran’s nexus model results and the long-term plans for energy and water sectors illustrate inconsistencies in the suggested strategies. Hence, it is essential to consider the nexus for better planning
  9. Keywords:
  10. Water ; Energy ; Water and Energy Nexus ; Mixed Integer Linear Programming ; Renewable Energy Resources

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