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UCSD Physics 12
Solar Photovoltaics
Making Electricity from Sunlight
UCSD Physics 12
Spring 2013 2
Methods of Harvesting Sunlight
Passive: cheap, efficient design;
block summer rays; allow winter
Solar Thermal: ~30% efficient;
cost-competitive; requires direct sun;
heats fluid in pipes that then boils
water to drive steam turbine
Solar hot water: up to 50% efficient; several $k to
install; usually keep conventional backup; freeze
protection vital (even in S.D.!!)
Photovoltaic (PV): direct electricity; 15% efficient;
$5 per Watt to install without rebates/incentives;
small fraction of roof covers demand of typ. home
Biofuels, algae, etc. also harvest solar energy, at few % eff.
UCSD Physics 12
Spring 2013 3
Photovoltaic (PV) Scheme
• Highly purified silicon (Si) from sand, quartz, etc. is “doped” with intentional
impurities at controlled concentrations to produce a p-n junction
– p-n junctions are common and useful: diodes, CCDs, photodiodes, transistors
• A photon incident on the p-n junction liberates an electron
– photon disappears, any excess energy goes into kinetic energy of electron (heat)
– electron wanders around drunkenly, and might stumble into “depletion region”
where electric field exists (electrons, being negative, move against field arrows)
– electric field sweeps electron across the junction, constituting a current
– more photons  more electrons  more current  more power
n-type silicon
p-type silicon
photon of light
liberated electron
electric field
Si doped with
boron, e.g.
Si doped with
phosphorous, e.g.
UCSD Physics 12
Spring 2013 4
Provide a circuit for the electron flow
• Without a path for the electrons to flow out,
charge would build up and end up canceling
electric field
– must provide a way out
– direct through external load
– PV cell acts like a battery
current flow
external load
UCSD Physics 12
Spring 2013 5
PV types
• Single-crystal silicon
– 15–18% efficient, typically
– expensive to make (grown as big crystal)
• Poly-crystalline silicon
– 12–16% efficient, slowly improving
– cheaper to make (cast in ingots)
• Amorphous silicon (non-crystalline)
– 4–8% efficient
– cheapest per Watt
– called “thin film”, easily deposited on a wide range of
surface types
UCSD Physics 12
Spring 2013 6
How good can it get?
• Silicon is transparent at wavelengths longer than
1.1 microns (1100 nm)
– 23% of sunlight passes right through with no effect
• Excess photon energy is wasted as heat
– near-infrared light (1100 nm) typically delivers only
51% of its photon energy into electrical current energy
• roughly half the electrons stumble off in the wrong direction
– red light (700 nm) only delivers 33%
– blue light (400 nm) only delivers 19%
• All together, the maximum efficiency for a silicon
PV in sunlight is about 23%
– defeating “recombination loss” puts the limit in the low
30’s %
UCSD Physics 12
Spring 2013 7
Silicon Photovoltaic Budget
• Only 77% of solar spectrum is absorbed by silicon
• Of this, ~30% is used as electrical energy
• Net effect is 23% maximum efficiency
UCSD Physics 12
More Detail on Do the Math site
• Explains the physical
factors involved in
setting PV efficiency
limits
– http://physics.ucsd.edu/
do-the-
math/2011/09/dont-be-
a-pv-efficiency-snob/
Spring 2013 8
UCSD Physics 12
Spring 2013 9
PV Cells as “Batteries”
• A single PV cell (junction) in the sun acts like a battery
– characteristic voltage is 0.58 V
– power delivered is current times voltage
– current is determined by the rate of incoming solar photons
• Stack cells in series to get usefully high voltages
– voltage ≠ power, but higher voltage means you can deliver power
with less current, meaning smaller wiring, greater transmission
efficiency
• A typical panel has 36 cells for about 21 V open-circuit
(no current delivered)
– but actually drops to ~16 V at max power
– well suited to charging a nominal 12 V battery
3.5 volts
0.58 V +0.58 V +0.58 V +0.58 V +0.58 V +0.58 V
UCSD Physics 12
Spring 2013 10
Typical I-V curves
• Typical single panel (this one: 130 W at peak power)
• Power is current times voltage, so area of rectangle
– max power is 7.6 amps times 17.5 V = 133 W
• Less efficient at higher temperatures
3Q
UCSD Physics 12
Spring 2013 11
How much does it cost?
• Solar PV is usually priced in dollars per peak Watt
– or full-sun max capacity: how fast can it produce energy
– panels cost $2.50 per Watt (and falling), installed cost $5/W
– so a 3kW residential system is $15,000 to install
– State rebates and federal tax incentives can reduce cost substantially
• so 3kW system can be < $10,000 to install
• To get price per kWh, need to figure in exposure
– rule of thumb: 4–6 hours per day full sun equiv: 3kW system produces ~15
kWh per day
• Mythbusting: the energy it takes to manufacture a PV panel is
recouped in 3–4 years of sunlight
– contrary to myth that…
– they never achieve energy payback
UCSD Physics 12
Spring 2013 12
Solar Economics
• Current electricity cost in CA is about $0.13 per kWh
• PV model: assume 5 hours peak-sun equivalent per day
– in one year, get 1800 hours full-sun equivalent
– installed cost is $5 per peak Watt capability, no rebates
– one Watt installed delivers 1.8 kWh in a year
– panel lasts at least 25 years, so 45 kWh for each Watt of capacity
– paid $5.00 for 45 kWh, so $0.11/kWh
– rebates can pull price to < $0.08/kWh
• Assuming energy rates increase at a few % per year,
payback is < 10 years
– thereafter: “free” electricity
– but sinking $$ up front means loss of investment capability
– net effect: cost today is what matters to most people
• Solar PV is on the verge of “breakout,” but demand may
keep prices stable throughout the breakout process
5Q
UCSD Physics 12
Spring 2013 13
Solar’s Dirty Secret
• It may come as a surprise, but the sun is not always up
• A consumer base that expects energy availability at all
times is not fully compatible with direct solar power
• Therefore, large-scale solar implementation must confront
energy storage techniques to be useful
– at small scale, can easily feed into grid, and other power plants
take up slack by varying their output
• Methods of storage (all present challenges):
– conventional batteries (lead-acid; cheapest option)
– exotic batteries (need development)
– hydrogen fuel (could power fleet of cars, but inefficient)
– global electricity grid (always sunny somewhere)
– pumped water storage (not much capacity)
UCSD Physics 12
Spring 2013 14
A Modest, Stand-Alone System
• In 2007, I set up a small PV
system to power my living
room
• Used two different panel types,
explored a number of charge
controllers and configurations
• Built mounts to allow seasonal
tilt adjustments
• Larger panel is 130 W poly-
crystalline silicon at 16%
efficiency
• Smaller is 64 W thin-film triple-
junction at 8% efficiency
• Large panel handled TV,
DVD/VCR (system A), smaller
one powered lights (system B)
UCSD Physics 12
Spring 2013 15
Dual System Components (covers removed)
12 V lead-acid
golf-cart battery for
system A: holds
1.8 kWh
identical12 V battery
for system B
class-T fuse (110 A)
class-T fuse (110 A)
ground wire (to pipe)
charge controller,
system B
MPPT charge
controller, system A
breaker box and shunts
for current measurement
system
monitor
400 W inverters for
systems A & B
extension cords go
inside to appliances
unused MPPT charge
controller
conduit carrying
PV input wires
green: ground
red: positive
white: neutral
UCSD Physics 12
Spring 2013 16
Three days of PV-TV monitoring
Home PV monitor for three late-October days in 2007: first very cloudy,
second sunny; third cloudy
green: battery % full
black: battery voltage
(right hand scale)
red: solar input, Watts
cyan: load usage;
baseline for inverter,
intermittent TV use
numbers at top are
total solar yield (red)
and total system usage
(cyan) for that day,
in Watt-hours
see http://www.physics.ucsd.edu/~tmurphy/pv_for_pt.html for more examples
UCSD Physics 12
Spring 2013 17
System Upgrades
• Over time, system has grown
– but into single system
• Four 130 W panels shown at
left
• Beefy inverter (3.5 kW max)
• “Smart” control to switch to
grid power input when
batteries low
• Started running refrigerator
most of the time off these four
panels
• Expanded to 6 panels
• Now 8 panels after we moved
– handles 60% of electricity
extensions on mounts allow tilts to 50
portion shown here only gets 10 and 20
UCSD Physics 12
Spring 2013 18
Refrigerator Cycles
With three panels, I
could tackle something
more worthy, like the
refrigerator…
Can see cyclic behavior
as fridge turns on and off
Once battery reaches
absorb stage voltage
(~29.5 V), can relax
current to battery (falling
red envelope)
When fridge pops on,
need full juice again
Some TV later in day
In this period, got 1818 W-h from sun, used 1510 W-h
Getting 1818 W-h from 340-W capacity  5.3 hours equiv. full sun
UCSD Physics 12
Spring 2013 19
Smart Inverter Scheme
A smart inverter can
shut off when battery
gets low, using grid power
to supply to loads
Inverter comes back on
when battery voltage hits
a certain level
Note consistency of
energy supplied (red
numbers) and energy
used (cyan numbers)
Infer 2107/2358 = 89%
efficiency across first
four days (efficiency of
sending solar juice to
inverter, including battery)
Using solar for fridge 75% of time; otherwise grid (4 panel setup)
getting most out of system, without wasting solar potential
UCSD Physics 12
Spring 2013 20
The Powell Solar Array at UCSD
“Solar Quilt”
“Kyocera Skyline”
grid-tie system delivering up to 11 kW
typ. home system less than 1/4 this size
UCSD Physics 12
Spring 2013 21
Powell PV Project Display
UCSD Physics 12
Spring 2013 22
7–10 23–26
flat: 918.4 kWh in 30 days  30.6 kWh/day; tilted: 974.5 kWh  32.5 kWh/day
15
UCSD Physics 12
Spring 2013 23
10.60, 10.60
13.35,13.28
30.78, 32.90
37.59, 40.75
Numbers indicate kWh produced
for flat, tilted arrays, respectively
Similar yields on cloudy days
UCSD Physics 12
Spring 2013 24
37.87, 40.07
41.99, 45.00
40.95, 43.64 35.02, 36.96
UCSD Physics 12
Spring 2013 25
Powell Array Particulars
• Each array is composed of 32 panels, each containing a
69 pattern of PV cells 0.15 m (6 inches) on a side
– 95% fill-factor, given leads across front
– estimated 1.15 m2 per panel; 37 m2 total per array
• Peak rate is 5,500 W
– delivers 149 W/m2
– At 15% efficiency, this is 991 W/m2 incident power
• Flat array sees 162, 210, 230 W/m2 on average for
February, March, April
– includes night and cloudy weather
• Cloudy days deliver 25% the energy of a sunny day
– 1 kW rate translates to 180 W/m2 incident during cloudy day
UCSD Physics 12
Spring 2013 26
UCSD 1 MW initiative: Gilman = 200 kW
At present, UCSD has installed 1 MW of solar PV, online since Dec. 2008.
UCSD uses 30 MW, 25 MW generated on campus (gas turbines, mainly)
UCSD Physics 12
Spring 2013 27
The Biggest of the Big
• Biggest PV installations
– http://en.wikipedia.org/wiki/List_of_photovoltaic_power_stations
– 250 MW in AZ; 214 MW in India; 200 MW China; 166 MW Germany;
150 MW in AZ
• Global totals:
– Solar hot water: 196 GW (120 GW China; 15 GW U.S.)
– PV: 98 GW (32 GW in Germany; 7.2 GW U.S.; 7 GW China)
• 74% growth in the industry in 2011; average 65% since 2007
– Solar thermal: 1.5 GW
• 1 GW in U.S. (354 MW in CA); 0.5 GW in Spain
• Added together: 296 GW
– but this is peak capacity
– day/night/weather reduce by typically factor of 5
– so call it 60 GW continuous  ~0.5% of global energy demand
UCSD Physics 12
Spring 2013 28
Solar Economics, revisited
• In remote locations, routing grid power is prohibitively
expensive, so stand-alone PV is a clear choice
• For my experimental system at home, the cost is not
competitive with retail electricity
– small does not scale favorably: a system monitor can cost as much for a
small system as for a large system
• But dollars and cents should not be the only considerations
– consider: CO2 contributed by burning fossil fuels, and climate change
– consider: environmental damage in mining coal
– consider: environmental damage in drilling/transporting oil
– consider: depletion of finite resources: robbing future generations
– consider: concentrated control of energy in a few wealthy hands
• Going (partially) solar has been worth every penny for me,
personally
– learning, independence, environmental benefit, etc. all contribute
UCSD Physics 12
Spring 2013 29
Announcements and Assignments
• Read Chapter 4
• Optional from Do the Math
– 13. Don’t be a PV Efficiency Snob
– 54. My Modest Solar Setup
• HW 4 due Friday
• Midterm Monday, May 6, York 2622 at 3PM
– need red half-page scan-tron with ID NUMBER section
– and # 2 pencil
– calculator okay (just for numbers, no stored info!)
– study guide posted on web site
• problems com from this study guide!
– review session: Thursday 6:00 – 7:50 PM, Solis 110
• Quiz still on for Fridays (this week and next)

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12_pv.ppt

  • 1. UCSD Physics 12 Solar Photovoltaics Making Electricity from Sunlight
  • 2. UCSD Physics 12 Spring 2013 2 Methods of Harvesting Sunlight Passive: cheap, efficient design; block summer rays; allow winter Solar Thermal: ~30% efficient; cost-competitive; requires direct sun; heats fluid in pipes that then boils water to drive steam turbine Solar hot water: up to 50% efficient; several $k to install; usually keep conventional backup; freeze protection vital (even in S.D.!!) Photovoltaic (PV): direct electricity; 15% efficient; $5 per Watt to install without rebates/incentives; small fraction of roof covers demand of typ. home Biofuels, algae, etc. also harvest solar energy, at few % eff.
  • 3. UCSD Physics 12 Spring 2013 3 Photovoltaic (PV) Scheme • Highly purified silicon (Si) from sand, quartz, etc. is “doped” with intentional impurities at controlled concentrations to produce a p-n junction – p-n junctions are common and useful: diodes, CCDs, photodiodes, transistors • A photon incident on the p-n junction liberates an electron – photon disappears, any excess energy goes into kinetic energy of electron (heat) – electron wanders around drunkenly, and might stumble into “depletion region” where electric field exists (electrons, being negative, move against field arrows) – electric field sweeps electron across the junction, constituting a current – more photons  more electrons  more current  more power n-type silicon p-type silicon photon of light liberated electron electric field Si doped with boron, e.g. Si doped with phosphorous, e.g.
  • 4. UCSD Physics 12 Spring 2013 4 Provide a circuit for the electron flow • Without a path for the electrons to flow out, charge would build up and end up canceling electric field – must provide a way out – direct through external load – PV cell acts like a battery current flow external load
  • 5. UCSD Physics 12 Spring 2013 5 PV types • Single-crystal silicon – 15–18% efficient, typically – expensive to make (grown as big crystal) • Poly-crystalline silicon – 12–16% efficient, slowly improving – cheaper to make (cast in ingots) • Amorphous silicon (non-crystalline) – 4–8% efficient – cheapest per Watt – called “thin film”, easily deposited on a wide range of surface types
  • 6. UCSD Physics 12 Spring 2013 6 How good can it get? • Silicon is transparent at wavelengths longer than 1.1 microns (1100 nm) – 23% of sunlight passes right through with no effect • Excess photon energy is wasted as heat – near-infrared light (1100 nm) typically delivers only 51% of its photon energy into electrical current energy • roughly half the electrons stumble off in the wrong direction – red light (700 nm) only delivers 33% – blue light (400 nm) only delivers 19% • All together, the maximum efficiency for a silicon PV in sunlight is about 23% – defeating “recombination loss” puts the limit in the low 30’s %
  • 7. UCSD Physics 12 Spring 2013 7 Silicon Photovoltaic Budget • Only 77% of solar spectrum is absorbed by silicon • Of this, ~30% is used as electrical energy • Net effect is 23% maximum efficiency
  • 8. UCSD Physics 12 More Detail on Do the Math site • Explains the physical factors involved in setting PV efficiency limits – http://physics.ucsd.edu/ do-the- math/2011/09/dont-be- a-pv-efficiency-snob/ Spring 2013 8
  • 9. UCSD Physics 12 Spring 2013 9 PV Cells as “Batteries” • A single PV cell (junction) in the sun acts like a battery – characteristic voltage is 0.58 V – power delivered is current times voltage – current is determined by the rate of incoming solar photons • Stack cells in series to get usefully high voltages – voltage ≠ power, but higher voltage means you can deliver power with less current, meaning smaller wiring, greater transmission efficiency • A typical panel has 36 cells for about 21 V open-circuit (no current delivered) – but actually drops to ~16 V at max power – well suited to charging a nominal 12 V battery 3.5 volts 0.58 V +0.58 V +0.58 V +0.58 V +0.58 V +0.58 V
  • 10. UCSD Physics 12 Spring 2013 10 Typical I-V curves • Typical single panel (this one: 130 W at peak power) • Power is current times voltage, so area of rectangle – max power is 7.6 amps times 17.5 V = 133 W • Less efficient at higher temperatures 3Q
  • 11. UCSD Physics 12 Spring 2013 11 How much does it cost? • Solar PV is usually priced in dollars per peak Watt – or full-sun max capacity: how fast can it produce energy – panels cost $2.50 per Watt (and falling), installed cost $5/W – so a 3kW residential system is $15,000 to install – State rebates and federal tax incentives can reduce cost substantially • so 3kW system can be < $10,000 to install • To get price per kWh, need to figure in exposure – rule of thumb: 4–6 hours per day full sun equiv: 3kW system produces ~15 kWh per day • Mythbusting: the energy it takes to manufacture a PV panel is recouped in 3–4 years of sunlight – contrary to myth that… – they never achieve energy payback
  • 12. UCSD Physics 12 Spring 2013 12 Solar Economics • Current electricity cost in CA is about $0.13 per kWh • PV model: assume 5 hours peak-sun equivalent per day – in one year, get 1800 hours full-sun equivalent – installed cost is $5 per peak Watt capability, no rebates – one Watt installed delivers 1.8 kWh in a year – panel lasts at least 25 years, so 45 kWh for each Watt of capacity – paid $5.00 for 45 kWh, so $0.11/kWh – rebates can pull price to < $0.08/kWh • Assuming energy rates increase at a few % per year, payback is < 10 years – thereafter: “free” electricity – but sinking $$ up front means loss of investment capability – net effect: cost today is what matters to most people • Solar PV is on the verge of “breakout,” but demand may keep prices stable throughout the breakout process 5Q
  • 13. UCSD Physics 12 Spring 2013 13 Solar’s Dirty Secret • It may come as a surprise, but the sun is not always up • A consumer base that expects energy availability at all times is not fully compatible with direct solar power • Therefore, large-scale solar implementation must confront energy storage techniques to be useful – at small scale, can easily feed into grid, and other power plants take up slack by varying their output • Methods of storage (all present challenges): – conventional batteries (lead-acid; cheapest option) – exotic batteries (need development) – hydrogen fuel (could power fleet of cars, but inefficient) – global electricity grid (always sunny somewhere) – pumped water storage (not much capacity)
  • 14. UCSD Physics 12 Spring 2013 14 A Modest, Stand-Alone System • In 2007, I set up a small PV system to power my living room • Used two different panel types, explored a number of charge controllers and configurations • Built mounts to allow seasonal tilt adjustments • Larger panel is 130 W poly- crystalline silicon at 16% efficiency • Smaller is 64 W thin-film triple- junction at 8% efficiency • Large panel handled TV, DVD/VCR (system A), smaller one powered lights (system B)
  • 15. UCSD Physics 12 Spring 2013 15 Dual System Components (covers removed) 12 V lead-acid golf-cart battery for system A: holds 1.8 kWh identical12 V battery for system B class-T fuse (110 A) class-T fuse (110 A) ground wire (to pipe) charge controller, system B MPPT charge controller, system A breaker box and shunts for current measurement system monitor 400 W inverters for systems A & B extension cords go inside to appliances unused MPPT charge controller conduit carrying PV input wires green: ground red: positive white: neutral
  • 16. UCSD Physics 12 Spring 2013 16 Three days of PV-TV monitoring Home PV monitor for three late-October days in 2007: first very cloudy, second sunny; third cloudy green: battery % full black: battery voltage (right hand scale) red: solar input, Watts cyan: load usage; baseline for inverter, intermittent TV use numbers at top are total solar yield (red) and total system usage (cyan) for that day, in Watt-hours see http://www.physics.ucsd.edu/~tmurphy/pv_for_pt.html for more examples
  • 17. UCSD Physics 12 Spring 2013 17 System Upgrades • Over time, system has grown – but into single system • Four 130 W panels shown at left • Beefy inverter (3.5 kW max) • “Smart” control to switch to grid power input when batteries low • Started running refrigerator most of the time off these four panels • Expanded to 6 panels • Now 8 panels after we moved – handles 60% of electricity extensions on mounts allow tilts to 50 portion shown here only gets 10 and 20
  • 18. UCSD Physics 12 Spring 2013 18 Refrigerator Cycles With three panels, I could tackle something more worthy, like the refrigerator… Can see cyclic behavior as fridge turns on and off Once battery reaches absorb stage voltage (~29.5 V), can relax current to battery (falling red envelope) When fridge pops on, need full juice again Some TV later in day In this period, got 1818 W-h from sun, used 1510 W-h Getting 1818 W-h from 340-W capacity  5.3 hours equiv. full sun
  • 19. UCSD Physics 12 Spring 2013 19 Smart Inverter Scheme A smart inverter can shut off when battery gets low, using grid power to supply to loads Inverter comes back on when battery voltage hits a certain level Note consistency of energy supplied (red numbers) and energy used (cyan numbers) Infer 2107/2358 = 89% efficiency across first four days (efficiency of sending solar juice to inverter, including battery) Using solar for fridge 75% of time; otherwise grid (4 panel setup) getting most out of system, without wasting solar potential
  • 20. UCSD Physics 12 Spring 2013 20 The Powell Solar Array at UCSD “Solar Quilt” “Kyocera Skyline” grid-tie system delivering up to 11 kW typ. home system less than 1/4 this size
  • 21. UCSD Physics 12 Spring 2013 21 Powell PV Project Display
  • 22. UCSD Physics 12 Spring 2013 22 7–10 23–26 flat: 918.4 kWh in 30 days  30.6 kWh/day; tilted: 974.5 kWh  32.5 kWh/day 15
  • 23. UCSD Physics 12 Spring 2013 23 10.60, 10.60 13.35,13.28 30.78, 32.90 37.59, 40.75 Numbers indicate kWh produced for flat, tilted arrays, respectively Similar yields on cloudy days
  • 24. UCSD Physics 12 Spring 2013 24 37.87, 40.07 41.99, 45.00 40.95, 43.64 35.02, 36.96
  • 25. UCSD Physics 12 Spring 2013 25 Powell Array Particulars • Each array is composed of 32 panels, each containing a 69 pattern of PV cells 0.15 m (6 inches) on a side – 95% fill-factor, given leads across front – estimated 1.15 m2 per panel; 37 m2 total per array • Peak rate is 5,500 W – delivers 149 W/m2 – At 15% efficiency, this is 991 W/m2 incident power • Flat array sees 162, 210, 230 W/m2 on average for February, March, April – includes night and cloudy weather • Cloudy days deliver 25% the energy of a sunny day – 1 kW rate translates to 180 W/m2 incident during cloudy day
  • 26. UCSD Physics 12 Spring 2013 26 UCSD 1 MW initiative: Gilman = 200 kW At present, UCSD has installed 1 MW of solar PV, online since Dec. 2008. UCSD uses 30 MW, 25 MW generated on campus (gas turbines, mainly)
  • 27. UCSD Physics 12 Spring 2013 27 The Biggest of the Big • Biggest PV installations – http://en.wikipedia.org/wiki/List_of_photovoltaic_power_stations – 250 MW in AZ; 214 MW in India; 200 MW China; 166 MW Germany; 150 MW in AZ • Global totals: – Solar hot water: 196 GW (120 GW China; 15 GW U.S.) – PV: 98 GW (32 GW in Germany; 7.2 GW U.S.; 7 GW China) • 74% growth in the industry in 2011; average 65% since 2007 – Solar thermal: 1.5 GW • 1 GW in U.S. (354 MW in CA); 0.5 GW in Spain • Added together: 296 GW – but this is peak capacity – day/night/weather reduce by typically factor of 5 – so call it 60 GW continuous  ~0.5% of global energy demand
  • 28. UCSD Physics 12 Spring 2013 28 Solar Economics, revisited • In remote locations, routing grid power is prohibitively expensive, so stand-alone PV is a clear choice • For my experimental system at home, the cost is not competitive with retail electricity – small does not scale favorably: a system monitor can cost as much for a small system as for a large system • But dollars and cents should not be the only considerations – consider: CO2 contributed by burning fossil fuels, and climate change – consider: environmental damage in mining coal – consider: environmental damage in drilling/transporting oil – consider: depletion of finite resources: robbing future generations – consider: concentrated control of energy in a few wealthy hands • Going (partially) solar has been worth every penny for me, personally – learning, independence, environmental benefit, etc. all contribute
  • 29. UCSD Physics 12 Spring 2013 29 Announcements and Assignments • Read Chapter 4 • Optional from Do the Math – 13. Don’t be a PV Efficiency Snob – 54. My Modest Solar Setup • HW 4 due Friday • Midterm Monday, May 6, York 2622 at 3PM – need red half-page scan-tron with ID NUMBER section – and # 2 pencil – calculator okay (just for numbers, no stored info!) – study guide posted on web site • problems com from this study guide! – review session: Thursday 6:00 – 7:50 PM, Solis 110 • Quiz still on for Fridays (this week and next)

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