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Development of a Framework to Utilize Thermoelectrochemical-aging Battery Models in Optimal Design of Renewable Energy Systems

Astaneh, Majid | 2019

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 52110 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Roshandel, Ramin
  7. Abstract:
  8. The operating conditions of the battery in renewable energy systems affect its electrochemical behavior and degradation process. Recent research mainly estimates battery lifetime through conventional methods such as counting the number of equivalent battery life cycles or based on simple experimental models that may lead to optimistic predictions in battery service period. In this study, a reduced-order thermoelectrochemical-aging battery model is developed for the application of renewable energy systems and the battery degradation analysis is investigated by this model. The proposed microscopic model evaluates the effect of battery operating conditions such as state of charge, current and temperature on the SEI layer growth rate at the negative electrode/electrolyte interface and the amount of cell lithium inventory. Long-term analysis of the electrochemical degradation of the battery and its effect on the optimal design of the system is the main aim of the developed model. Assessing the capabilities of the model and its application in the optimization framework of renewable energy systems is performed through a case study of an off-grid PV-battery system. The results indicate that the microscopic model predicts battery lifetime 37% lower than performance models. Afterwards, the optimal design of the system by considering the microscopic model is compared with the baseline scenario. Results show that by integrating the microscopic model into the optimization framework, the battery lifetime is increased by 50%. This improvement in battery life reduces the levelized cost of energy of the system by 10%. Finally, the effect of possible variations in weather condition and battery cost is assessed through the proposed framework
  9. Keywords:
  10. Electrochemical Modeling ; Battery Lifetime Estimation ; Lithium Ion Batteries ; Renewable Energy Resources

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