1. AL WADI Survey Report Conducted By: Green Line Company

2. Power Factor Readings: Off Load: 90% Load Percentage: Predicting the Energy savings Before Installing Powerboss Off Load: 3.046 / 12.642 (100) = 24.094 Formula: Ave kW / Ave Kvar (100) = Saving Factor Power Readings: Cutting Machine (30kW Motor) On Load: 10% On Load: 29.163 / 15.872 (100) = 183.73 Off Load Full Load

3. Power Savings

4. Consumption & Savings 0.277kWh per 2mins. 8.31kWh per Hour 66048kWh per Day 398.88kWh per Week Power Consumption kW: Power Saving kW: 27.9% 5564.376kWh per Year 0.531Kvarh per 2mins. 15.93Kvarh per Hour 127.44Kvarh per Day 764.64Kvarh per Week Power Consumption Kvar: 19944kWh per Year Note: Operation is 8 a day, 6 days a week and 50 weeks a year. 38232Kvarh per Year Power Saving Kvar: 45.9 % 17548.488Kvarh per Year

5. Power Factor Readings: Off Load: 20% Load Percentage: Predicting the Energy savings Before Installing Powerboss Off Load: 3.873 / 10.058 (100) = 38.50 Formula: Ave kW / Ave Kvar (100) = Saving Factor Power Readings: Bending Machine (22kW Motor) On Load: 80% On Load: 17.531 / 12.18 (100) = 143.93 Off Load Full Load

6. Power Savings

7. Consumption & Savings 1.027kWh per 5mins. 12.324kWh per Hour 98.592kWh per Day 591.552kWh per Week Power Consumption kW: Power Saving kW: 4.6% 1360.56kWh per Year 0.939Kvarh per 5mins. 11.268Kvarh per Hour 90.144Kvarh per Day 540.864Kvarh per Week Power Consumption Kvar: 29577.6kWh per Year 27043.2Kvarh per Year Power Saving Kvar: 6.4 % 1730.7648Kvarh per Year Note: Operation is 8 a day, 6 days a week and 50 weeks a 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.