World Solar Challenge 2013
The 2013 World Solar Challenge was one of a biennial series of solar-powered car races, covering 3,022 km (1,878 mi) through the Australian Outback, from Darwin, Northern Territory to Adelaide, South Australia.
In all, 37 teams competed of which 16 completed the course. There were three classes: Cruiser, Challenge and Adventure. The Cruiser class was won by Eindhoven University of Technology of the Netherlands; the Challenge class by Nuon Solar Team of the Netherlands; and the Adventure class by the Australian Aurora team.
Results tables
Cruiser class
| Rank | Team | Country | Distance (km) | Time (hr:mn) | Person Kilometers | External Energy (kWh) | Practicality (%) | Final Score (%) |
|---|---|---|---|---|---|---|---|---|
| 1 | Eindhoven | Netherlands | 3022 | 40:14 | 9093 | 64.0 | 88.3 | 97.5 |
| 2 | Bochum | Germany | 3022 | 41:38 | 6484 | 63.5 | 87.0 | 93.9 |
| 3 | Sunswift | Australia | 3022 | 38:35 | 3022 | 64.0 | 70.7 | 92.3 |
| 4 | University of Minnesota | United States | 3022 | 51:41 | 5454 | 64.0 | 69.3 | 79.2 |
| 5 | Goko HS | Japan | 2288 | 70.7 | ||||
| 6 | Apollo | Taiwan | 1558 | 50.3 | ||||
| 7 | TAFE SA Solar Spirit | Australia | 1469 | 71.7 | ||||
| 8 | University of Calgary | Canada | 719 | 78.0 |
Challenger class
| Rank | Team | Country | Distance (km) | Time (hr:mn) | Speed (km/h) |
|---|---|---|---|---|---|
| 1 | Nuon Solar Team | Netherlands | 3022 | 33:03 | 90.71 |
| 2 | Tokai University | Japan | 3022 | 36:22 | 82.43 |
| 3 | University of Twente | Netherlands | 3022 | 37:38 | 79.67 |
| 4 | Stanford University | United States | 3022 | 39:31 | 75.86 |
| 5 | Solar Energy Racers | Switzerland | 3022 | 40:13 | 74.54 |
| 6 | Punch Powertrain | Belgium | 3022 | 40:28 | 74.08 |
| 7 | Team Arrow | Australia | 3022 | 43:38 | 68.71 |
| 8 | University of Toronto | Canada | 3022 | 45:38 | 65.71 |
| 9 | University of Michigan | United States | 3022 | 45:55 | 65.29 |
| 10 | Onda Solare | Italy | 3022 | 48:25 | 61.92 |
| 11 | University of Western Sydney | Australia | 2891 | ||
| 12 | Kanazawa Institute of Technology | Japan | 2564 | ||
| 13 | EAFIT-EPM | Colombia | 2505 | ||
| 14 | Kogakuin University | Japan | 2450 | ||
| 15 | KUST | South Korea | 2013 | ||
| 16 | SunSPEC | Singapore | 1676 | ||
| 17 | İstanbul Technical University (İTU) | Turkey | 1613 | ||
| 18 | ETS | Canada | 1530 | ||
| 19 | Sun Shuttle | China | 1398 | ||
| 20 | Jonkoping University | Sweden | 1301 | ||
| 21 | ITS | Indonesia | 748 | ||
| 22 | UMP | Malaysia | 616 |
Adventure class
| Rank | Team | Country | Distance (km) | Time (hr:mn) | Speed (km/h) |
|---|---|---|---|---|---|
| 1 | Aurora | Australia | 3022 | 38:39 | 77.57 |
| 2 | Antakari | Chile | 3022 | 49:31 | 60.54 |
| 3 | Sikat Solar | Philippines | 2487 | ||
| 4 | IVE | Hong Kong | 2105 | ||
| 5 | KAIT | Japan | 1533 | ||
| 6 | Solaris | Turkey | 1481 | ||
| 7 | Mississippi Choctaw HS | United States | 164 |
gollark: Memorizing Transformer and https://github.com/AeroScripts/HiddenEngrams.
gollark: Anyway, there are apparently some ways to get these things to sort of actually remember stuff, so that might be worth trying for this?
gollark: Oh, for reasons.
gollark: * then → also
gollark: I'd probably go for having a mixed dataset of longer chatlog chunks, and then single lines of my messages so it would know what "gollark" is.
References
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