1. Marble Company 2 Survey Report Conducted By: Green Line Company

2. Power Factor Readings: Load Percentage: Predicting the Energy savings Before Installing Powerboss Formula: Ave kW / Ave Kvar (100) = Saving Factor Power Readings: Vertical Saw (90kW Motor) On Load: 100% On Load: 20.1605 / 40.598 (100) = 49.6588

3. Power Savings

4. Consumption & Savings 1.665kWh per 5mins. 19.98kWh per Hour 479.52kWh per Day 2877.12kWh per Week Power Consumption kW: Power Saving kW: 14% 20139.84kWh per Year 3.375Kvarh per 5mins. 40.5Kvarh per Hour 972Kvarh per Day 5832Kvarh per Week Power Consumption Kvar: 143856kWh per Year Note: Operation is 24 hours a day, 6 days a week and 50 weeks a year. 291600Kvarh per Year Power Saving Kvar: 31 % 90396Kvarh per Year

5. Power Factor Readings: Load Percentage: Predicting the Energy savings Before Installing Powerboss Formula: Ave kW / Ave Kvar (100) = Saving Factor Power Readings: Circular Saw (75kW Motor) Off Load: 23.47% Off Load: 13.659 / 36.728 (100) = 37.18 On Load: 76.53% On Load: 93.573 / 61.182 (100) = 152.94

6. Power Savings

7. Consumption & Savings 9.152kWh per 10mins. 54.912kWh per Hour 1317.888kWh per Day 7907.328kWh per Week Power Consumption kW: Power Saving kW: 5.63% 22259.12kWh per Year 7.367Kvarh per 8mins. 44.202Kvarh per Hour 1060.848Kvarh per Day 6365.088Kvarh per Week Power Consumption Kvar: 395366.4kWh per Year Note: Operation is 24 hours a day, 6 days a week and 50 weeks a year. 318254.4Kvarh per Year Power Saving Kvar: 7.74 % 24632.89Kvarh per Year

8. Benefits from PowerBoss This machines can benefit greatly from Powerboss. The softstart function will reduce both starting current drawn by the motor and mechanical strain on bearings, gears, belts and etc. The reduction in starting current will also increase motor’s life. The optimization function will reduce the power supplied to the Motor without changing its torque and rpm. Reducing the power supplied to the motor will significantly reduce the heat, vibration and noise. Reducing wasted energy will also reduce the maintenance cost and production downtime.