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| report [2013/06/21 19:49] – [6.6. Overheating of algae solution] team1 | report [2013/06/22 19:49] (current) – team1 | ||
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| We expect that the Solar Dryer will fulfill the clients needs which are drying algae with the use of solar power. We expect it to dry the algae to less then 10 % humidity in 24 hours. We also expect our algae-dryer to be one of the most energy efficient in the market. | We expect that the Solar Dryer will fulfill the clients needs which are drying algae with the use of solar power. We expect it to dry the algae to less then 10 % humidity in 24 hours. We also expect our algae-dryer to be one of the most energy efficient in the market. | ||
| - | ==== 1.6. Work plan ==== | + | ==== 1.6. Product planning |
| Regarding the work plan we divided our task into three modules. The general milestones together with a start and end date for every task are located in the Gantt chart shown in Figure 2. Furthermore, | Regarding the work plan we divided our task into three modules. The general milestones together with a start and end date for every task are located in the Gantt chart shown in Figure 2. Furthermore, | ||
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| - | Figure 19. Graph presenting emission | + | Figure 19. Emission |
| These results would force us to check what kind of electricity generation the potential customer uses. Taking into account the fact that the potential customer would be universities in Europe running tests on algae oil production, we may assume that it is possible that they would use renewable sources of energy to create electricity. If not, it is also possible that energy consumed by the device would not significantly affect the power consumption of a certain university lab. It is also wise to mention that any kind of electricity generation it is, the equipment installed would require so little energy that it would not be significant for university grid usage. What is more, 15 W solar panel would not support the devices fully. Thus, more powerful solar panel would be needed. As our projects aim was to use solar power, we decided to minimize the number or fans to one in order to reduce power consumption. | These results would force us to check what kind of electricity generation the potential customer uses. Taking into account the fact that the potential customer would be universities in Europe running tests on algae oil production, we may assume that it is possible that they would use renewable sources of energy to create electricity. If not, it is also possible that energy consumed by the device would not significantly affect the power consumption of a certain university lab. It is also wise to mention that any kind of electricity generation it is, the equipment installed would require so little energy that it would not be significant for university grid usage. What is more, 15 W solar panel would not support the devices fully. Thus, more powerful solar panel would be needed. As our projects aim was to use solar power, we decided to minimize the number or fans to one in order to reduce power consumption. | ||
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| === 6.7.2. Porto climate === | === 6.7.2. Porto climate === | ||
| - | In order to check the possible operation efficiency of our device, we gathered | + | In order to check the possible operation efficiency of the device, we gathered data concerning predicted weather and atmospheric conditions for the on-going year and the next. The following figures (45 and 46) present average heat index (in degrees Celsius) and solar radiation |
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| - | Figure | + | Figure |
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| - | Figure | + | Figure |
| The presented diagrams and graph make it possible to expect the best distiller performance from April till October. High solar radiation, followed by extensive heat index and significantly higher average temperatures are noted in the mentioned months. Those factors speed up evaporation process. What is more, relative humidity is also at its lowest ratings, which does not contribute to slowing down the whole process. | The presented diagrams and graph make it possible to expect the best distiller performance from April till October. High solar radiation, followed by extensive heat index and significantly higher average temperatures are noted in the mentioned months. Those factors speed up evaporation process. What is more, relative humidity is also at its lowest ratings, which does not contribute to slowing down the whole process. | ||