The efficiency of the thermal energy created by different types of computers on the time taken for a phone to charge using the thermal energy
School Name
Spring Valley High School
Grade Level
10th Grade
Presentation Topic
Engineering
Presentation Type
Non-Mentored
Abstract
The purpose of this experiment was to make use of the wasted thermal energy that is created by computers that people use everyday by converting it into electrical energy to do something like charging a phone. It was hypothesized that if the thermal energy given off from a laptop or a desktop was used to charge a phone from 0-10%, then the energy created would charge the phone from 0-10% in at most double the time it took for the phone to charge from the wall socket. This is because there was a higher power draw from laptops and desktops when compared to a phone. This experiment was conducted by first starting a stress test on the computer, maximizing usage and heat generation. Then, using a infrared thermometer, the hottest area on the computer was measured and the thermoelectric generator device was placed on that area. Afterwards, the iPhone 6 Plus was plugged in to the lightning cable from the device and the time to charge was measured. Because this study was only about comparing different computers efficiency in charging the phone to the control, the wall socket, a series of 2 sample z-tests were used with an ɑ=0.05 and the H0 was the claim, each comparing a form of the control data to one of the experimental groups. The results of those z-tests were z = -44.43, p<0.001 (one tailed) for 200% of the control being compared to the Macbook Pro group, z = -29.16, p<0.001 (one tailed) for 200% of the control being compared to the Dell XPS 15 group, z = -0.27, p>0.100 (one tailed) for 200% of the control being compared to the desktop group, and z = -65.55, p<0.001 (one tailed) for 200% of the control being compared to the ATandT Router group. The hypothesis was partially supported because the desktop group worked.
Recommended Citation
Gianey, Siddharth, "The efficiency of the thermal energy created by different types of computers on the time taken for a phone to charge using the thermal energy" (2018). South Carolina Junior Academy of Science. 151.
https://scholarexchange.furman.edu/scjas/2018/all/151
Location
Lassiter 118
Start Date
4-14-2018 10:45 AM
Presentation Format
Oral and Written
The efficiency of the thermal energy created by different types of computers on the time taken for a phone to charge using the thermal energy
Lassiter 118
The purpose of this experiment was to make use of the wasted thermal energy that is created by computers that people use everyday by converting it into electrical energy to do something like charging a phone. It was hypothesized that if the thermal energy given off from a laptop or a desktop was used to charge a phone from 0-10%, then the energy created would charge the phone from 0-10% in at most double the time it took for the phone to charge from the wall socket. This is because there was a higher power draw from laptops and desktops when compared to a phone. This experiment was conducted by first starting a stress test on the computer, maximizing usage and heat generation. Then, using a infrared thermometer, the hottest area on the computer was measured and the thermoelectric generator device was placed on that area. Afterwards, the iPhone 6 Plus was plugged in to the lightning cable from the device and the time to charge was measured. Because this study was only about comparing different computers efficiency in charging the phone to the control, the wall socket, a series of 2 sample z-tests were used with an ɑ=0.05 and the H0 was the claim, each comparing a form of the control data to one of the experimental groups. The results of those z-tests were z = -44.43, p<0.001 (one tailed) for 200% of the control being compared to the Macbook Pro group, z = -29.16, p<0.001 (one tailed) for 200% of the control being compared to the Dell XPS 15 group, z = -0.27, p>0.100 (one tailed) for 200% of the control being compared to the desktop group, and z = -65.55, p<0.001 (one tailed) for 200% of the control being compared to the ATandT Router group. The hypothesis was partially supported because the desktop group worked.
