1. Introduction

1.1. Introduction 2. The Energy Storage and the F-Factor methodology 2.1.  Introduction 2.2. The F-Factor for Energy Storage 2.3. How can Energy Storage reduce the peak demand 2.4. Additional details about the F-Factors 3. Mathematical Optimization 3.1. The objective function of the optimization model 3.2. The constraints of the optimization model 4. The Power System 4.1. Description of the electricity system 4.2. The electricity demand 4.3. Distinguishing between flat and peaky demand

4.4. How to derive a flat profile from a peaky one 5. Writing the model in FICO 5.1. Writing the code in FICO Xpress (1)

5.2. Writing the code in FICO Xpress (2)

5.3. Writing the code in FICO Xpress (3)

5.4. Flow of the program

5.5. Running the model for the first time 6. Results 6.1. Results for a Storage unit with 100% efficiency , 7 hours duration 6.2. Sensitivity analyses 6.3. Manual calculations and plots

7. Interpretation 7.1. Implications of having less than 100% efficiency 7.2. Understanding the constraint of SOC(last period)= SOC(first period) 7.3. Why we need the small cost in the objective function 7.4. Interpretation: F-Factors versus Storage Power Capability 7.5. Interpretation: F-Factors versus Storage Duration 7.6. Interpretation: F-Factors versus Storage Efficiency 7.7. Interpretation: F-Factors versus the range of SOC 7.8. Interpretation: F-Factors versus load shape (flat/peaky) 7.9. Interpretation: F-Factors versus time horizon 7.10. F-Factors and number of Storage Units in a bus 7.11. Effect of degradation of Storage on F-Factors

8. Sensitivity analysis on peak duration 8.1. Case studies on peak demand duration 8.2. Creating a new, flatter profile 8.3. Profiles with 30-min and 180-min peak duration 8.4. Sensitivity analyses and results interpretation

9. Conclusions

9.1. Policy, Regulation and F-Factors

9.2. Conclusions