1. RAYAN PLAST Survey Report Conducted By: Green Line Company

2. Power Factor Readings: Off Load: 10% Load Percentage: Predicting the Energy savings Before Installing Powerboss Off Load: 3.598 / 16.608 (100) = 21.664 Formula: Ave kW / Ave Kvar (100) = Saving Factor Power Readings: Grinder 1 (60Hp Motor) On Load: 90% On Load: 50.384 / 24.450 (100) = 206.069 Off Load Full Load

3. Power Savings

4. Consumption & Savings 3.313kWh per 5mins. 39.756kWh per Hour 954.144kWh per Day 5724.864kWh per Week Power Consumption kW: Power Saving kW: 3.2% 9159.7824kWh per Year 1.863Kvarh per 5mins. 22.356Kvarh per Hour 536.544Kvarh per Day 3219.264Kvarh per Week Power Consumption Kvar: 286243.2kWh per Year Note: Operation is 24 hours a day, 6 days a week and §§50 weeks a year. 160963.2Kvarh per Year Power Saving Kvar: 5.1 % 8209.1232Kvarh 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: Mixer (75kW Motor) On Load: 100% On Load: 24.083 / 40.422 (100) = 59.57

6. Power Savings

7. Consumption & Savings 3.377kWh per 8mins. 25.3275kWh per Hour 607.86kWh per Day 3647.16kWh per Week Power Consumption kW: Power Saving kW: 8% 14588.64kWh per Year 5.477Kvarh per 8mins. 41.0775Kvarh per Hour 985.86Kvarh per Day 5915.16Kvarh per Week Power Consumption Kvar: 182358kWh per Year Note: Operation is 24 hours a day, 6 days a week and 50 weeks a year. 295758Kvarh per Year Power Saving Kvar: 28 % 82812.24Kvarh 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.