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D-Lab: EnergyWelcome to
1
WORLD DEVELOPMENT INDICATORS:
ENERGY
[all numbers from the World Bank WDI website]2
0
200
400
600
800
1000
1200
1400
Nica Haiti UAE USA China D.R. Congo
Population (millions)
surface area (sq km 10000)
1,000 people/100 sq km
3
GNI per capita, Atlas method, US$
50000
45000 41853
40000
35000
30000
25000
19270 20000
15000
10000 4346 5000
900 517 117 0
Nica Haiti UAE USA China D.R. Congo
_
4
GNI per capita, Atlas method, US$
50000
45000 41853
40000
35000
30000
25000
19270 20000
15000
10000 4346 5000
900 517 117 0
Nica Haiti UAE USA China D.R. Congo 5
77
56
100 99
80
45
0
10
20
30
40
50
60
70
80
90
100
Nica Haiti UAE USA China D.R. Congo
Improved water source (% access) .
.
.
.
.
.
.
.
.
.
.
6
Improved water source (% access) 100 99
100
90 80
80 77
70
60 56
50 45
40
30
20
10
0 Nica Haiti UAE USA China D.R. Congo
7
improved sanitation (% urban access)
100 98 100
90
80 69
70
60 57
50 45 38 40
30
20
10
0 Nica Haiti UAE USA China D.R. Congo
8
improved sanitation (% urban access)
100 98 100
90
80 69
70
60 57
50 45 38 40
30
20
10
0 Nica Haiti UAE USA China D.R. Congo
9
Energy use (kg of oil equivalent per capita)
12000 11000
10000
8000 8000
6000
4000
2000 1000
600 240 290
0 Nica Haiti UAE USA China D.R. Congo
10
Energy use (kg of oil equivalent per capita)
12000 11000
10000
8000 8000
6000
4000
2000 1000
600 240 290
0 Nica Haiti UAE USA China D.R. Congo
11
CO2 emissions (metric tons per capita)
35
30.0 30
25
20.0 20
15
10
5 4.0
0.7 0.2 0.0 0
Nica Haiti UAE USA China D.R. Congo
12
CO2 emissions (metric tons per capita)
35
30.0 30
25
20.0 20
15
10
5 4.0
0.7 0.2 0.0 0
Nica Haiti UAE USA China D.R. Congo
13
Electric power consumption (kWh per capita)
16000
14000 14000
12000 12000
10000
8000
6000
4000
2000 1500 400 36 90
0 Nica Haiti UAE USA China D.R. Congo
14
Electric power consumption (kWh per capita)
16000
14000 14000
12000 12000
10000
8000
6000
4000
2000 1500 400 36 90
0 Nica Haiti UAE USA China D.R. Congo
15
mobile cellular subscriptions (per 100 ppl)
250
209
200
150
110
100 89 72
54 48 44 50 39 34 30 20 14
2 5 7 5 1 0 0
Nica Haiti UAE USA China D.R. Congo
2000 2005 2008
16
mobile cellular subscriptions (per 100 ppl)
250
209
200
150
110
100 89 72
54 48 44 50 39 34 30 20 14
2 5 7 5 1 0 0
Nica Haiti UAE USA China D.R. Congo
2000 2005 2008
17
internet users (per 100 ppl)
100
90 86.1
80 72 70
70
60
50 44
40 32.2
30 23.6 22.5 20
8.6 10 6.5 2.6 1 1.8 0.2 0 0.2 0.5
0 Nica Haiti UAE USA China D.R. Congo
2000
2005
2008
18
internet users (per 100 ppl)
100
90 86.1
80 72 70
70
60
50 44
40 32.2
30 23.6 22.5 20
8.6 10 6.5 2.6 1 1.8 0.2 0 0.2 0.5
0 Nica Haiti UAE USA China D.R. Congo
2000
2005
2008
19
TAKEAWAYS?
20
[NASA]21
Public domain image (source: NASA).
2013: 3% oil
renewable energy sources: wind (coast)geothermal (volcanoes)hydro (rivers)solar (equator)ethanol (sugarcane)
30-70%
22
Public domain image (source: U.S. CIA).
ENERGY 101
[much content from Saul Griffith]23
24
Courtesy of Saul Griffith. Used with permission.
25Courtesy of Saul Griffith. Used with permission.
26
Courtesy of Prof. Cutler J. Cleveland. Used with permission.
UNITS CHECK-INpair up with someone you don’t know
27
WHAT IS ENERGY?
28
ENERGY
29
Courtesy of Saul Griffith. Used with permission.
WHAT IS POWER
30
POWER
31Courtesy of Saul Griffith. Used with permission.
60
32
Courtesy of Saul Griffith. Used with permission.
33
Courtesy of Saul Griffith. Used with permission.
V=IR
34
V=IR
P=VI
35
V=IR
P=VI
• Easy book: Practical Electronics for Inventors, Paul Scherz
• Not Easy But Comprehensive Book: Horowitz & Hill, Art of Electronics
36
ESTIMATION
[much content from Ben Linder]37
Estimate the energy stored in a new 9V battery
38
© Procter & Gamble. All rights reserved. This content is excluded from our CreativeCommons license. For more information, see http://ocw.mit.edu/fairuse.
WHY ESTIMATION?
• look, no be, smart in technical meetings
• gut check your own work and other’s
• save time & money
39
WHY DOES ESTIMATION FEEL SO HARD?
• used to p-sets (right answer)
• used to books and lectures and quizzes (defined realms)
• no resources beyond your brain
• in public, little warning, little time
• open-ended, ill-defined
• multiple acceptable methods and answers
• significant uncertainty
• balanced knowledge of values, quantities, relationships, & things (not just relationships) 40
EFFECTIVE ESTIMATION ACTIONS
• identify a problem system
• identify a quantity with a system
• provide a value for a quantity also, practice!
• count a set of things
• compare two systems for a quantity
• identify a relationship between quantities
• change a system scope
• identify a similar system41
Estimate the drag force on a bicycle and rider traveling at 20 mph (9 m/s)
42
Public domain image (source: Wikimedia Commons).
10 minute break!
43
in teams of 2:
how high can a D-cell lift you?
44
© Procter & Gamble. All rights reserved. This content is excluded from our CreativeCommons license. For more information, see http://ocw.mit.edu/fairuse.
ATLAS Devices powered rope ascender
350 lbs 850 ft, up to 10 ft/sec
45
Courtesy of Nathan Ball. Used with permission.
Courtesy of Lemelson/MIT Program.Used with permission.
FINALLY D-LAB ENERGY
INTRO
46
47
BY 11AM TO MO RROW1. com plet e online st udent pr o le
2. D I Y L ant er n
Using the g iven LED (3.6V, 20mAH) and 9V battery provided in class , a resistor from the Edgerton Center Projects Lab
, and found materials, construct a lantern. The lantern
should be able to turn on and off.
Tip for choosing the resistor: while picking an appropriate resistor in the right ballpark is important, the exact value is not critical. If you can't nd the exact value you need, nd something within 10-15%.
Gra ding cr iter ia :functionality (lights, easy to “ gure out the switch)aesthetics -- does it look goodcreative use of materialsmaximizing light
Bring the lantern to Room E34-211 and place it on a desk on piece of paper with your name, a very quick sketch of your device, and an explanation - including formula - of how you chose the resistor and what value you used.
Results of lottery:You’ll have an email
by 11:59 pm Thursday
48
fi
fi fi
Fi
HomeworkR eadingPoor People s Energy O utlook, 2010 by Practical Action
http://www.practicalaction.org/energy-advocacy/ppeo-report-poor-peoples-energy-outlook
read from start to top of p. 38, pp. 50-54, pp. 55-61
write a reaction piece
P S E T 11. Speci c Energies of Fuels2. Shower Estimation
49
’
fi
Muddy Cards!
50
D-Lab: Energy
Friday Lab: Human Power
Next Class: Energy Storage & Micro Grids and trip discussion
51
MIT OpenCourseWarehttp://ocw.mit.edu
EC.711 D-Lab: Energy Spring 2011
For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.