Cost Analysis modeling for peak shaving of energy
- 1. COST ANALYSIS MODELING FOR PEAK SHAVING OF ENERGY STORAGE DEVICES R. SCOTT, L. MORRIS, DR. M.H. WEATHERSPOON
- 2. PROBLEM • THE DEMAND FOR RENEWABLE ENERGY IS RISING, HOWEVER, THIS DEMAND FOR ENERGY VARIES THROUGHOUT THE DAY. • A SYSTEM NEEDS TO BE IMPLEMENTED IN WHICH IT ENCAPSULATES THIS RENEWABLE ENERGY DURING NON- PEAK HOURS OF THE DAY, WHILE FOCUSING IT TO THE MOST EFFECTIVE LOCATION DURING PEAK HOURS. http://www.nakedcapitalism.com/2014/08/us-energy-sources-and-uses-show- limits-of-renewable-energy-strategies.html
- 3. BACKGROUND/LITERATURE REVIEW • BATTERY STORAGE SYSTEMS ARE ALREADY BEING IMPLEMENTED IN AREAS TRANSITIONING TO THE PRIMARY USAGE OF RENEWABLE ENERGY SOURCES. HOWEVER, AS THESE SYSTEMS DEGRADE, NEW SOLUTIONS ARE BEING PROPOSED. • SOLUTION 1: WIND/PV/FUEL CELL SYSTEM • SOLUTION 2: OPTIMIZED ENERGY DISPATCH SCHEDULE IS IMPLEMENTED • SOLUTION 3: GO RESIDENTIAL—ADD BESS TO RESIDENTIAL AREAS AND ANALYZE COST OF ADDING IT TO RESIDENTIAL AREA • SOLUTION 4: REGULATE VOLTAGE WHEN BESS IS EXPOSED TO HIGH PV LEVELS • SOLUTION 5: OPTIMAL SIZING AND OPERATION STRATEGY FOR BESS FOR PEAK SHAVING APPLICATION
- 4. INTRO TO LITHIUM MANGANESE OXIDE BATTERY - + e- e- e- Negative Electrode LixC6 Positive Electrode LiMn2O4 Li+ X- Electrolyte LiPF6 Alumin um Domain s Copper Discharging Process - + e- e- e- Negative Electrode LixC6 Positive Electrode LiMn2O4 Li+ X- Electrolyte LiPF6 Alumin um Domain s Copper Charging Process5 Domains - Negative Current Collector - Anode - Separator - Cathode - Positive Current Collector
- 5. COMSOL GENERATED GRAPHS FOR DISCHARGE OF LITHIUM-ION BATTERY
- 6. FUTURE WORK • DEVELOP A COMSOL MODEL FOR THE LTO- LMO BATTERY • DEVELOP PEAK SHAVING MODEL • DIFFERENTIATE BETWEEN NEWLY DEVELOPED PEAK SHAVING MODEL AND COMMERCIALLY AVAILABLE MODELS
- 7. IMPACT • REDUCE THE LOAD DEMAND NEEDED TO SUPPORT THE GEH • REDUCTION IN COST OF THE ENERGY STORAGE SYSTEM http://www.encycle.com/sa vings/ http://www.ethanelkind.com/tag/energy-storage/
- 8. PEAK SHAVING ALGORITHM -500 0 500 1000 1500 2000 1 11 21 31 41 51 61 71 Power(kW) Time (hr) - July 29 - 31, 2015 GEH Projected Load Profile Load Consumption (kW) Peak Shaving
- 9. REFERENCES NELSON, D., NEHRIR, M., & WANG, C. (2005). “UNIT SIZE AND COST ANALYSIS OF STAND-ALONE HYBRID WIND/PV/FUEL CELL POWER GENERATION SYSTEMS.” SCIENCE DIRECT: RENEWABLE ENERGY, 31(10), 1641–1656. AICHHORN, A., GREENLEAF, M., LI, H., & ZHENG, J. “A COST EFFECTIVE BATTERY SIZING STRATEGY BASED ON A DETAILED BATTERY LIFETIME MODEL AND AN ECONOMIC ENERGY MANAGEMENT STRATEGY.” 2012 POWER AND ENERGY SOCIETY GENERAL MEETING. SAN DIEGO, CA, 2012. 1-8. YANG, Y., LI, H., AICHHORN, A., ZHENG, J., & GREENLEAF, M. (2014). “SIZING STRATEGY OF DISTRIBUTED BATTERY STORAGE SYSTEM WITH HIGH PENETRATION OF PHOTOVOLTAIC FOR VOLTAGE REGULATION AND PEAK LOAD SHAVING.” IEEE TRANSACTIONS ON SMART GRID, 5(2), 982-991. NOTTROTT, A., KLEISSL, J., & WASHOM, B. (2013). “ENERGY DISPATCH SCHEDULE OPTIMIZATION AND COST BENEFIT ANALYSIS FOR GRID-CONNECTED, PHOTOVOLTAIC-BATTERY STORAGE SYSTEMS.” SCIENCE DIRECT: RENEWABLE ENERGY, 55, 230-240. OUDALOV, A., CHERKAOUI, R., & BEGUIN, A. “SIZING AND OPTIMAL OPERATION OF BATTERY ENERGY STORAGE SYSTEM FOR PEAK SHAVING APPLICATION.” 2007 IEEE POWER TECH MEETING. LAUSANNE, SWITZERLAND, 2007. 621-625.