Black Holes, Gravity, and Information Theory Roland Winston Schools - - PowerPoint PPT Presentation

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Black Holes, Gravity, and Information Theory Roland Winston Schools - - PowerPoint PPT Presentation

Black Holes, Gravity, and Information Theory Roland Winston Schools of Natural Science and Engineering, University of California Merced Director, California Advanced Solar Technologies Institute (UC Solar) rwinston@ucmerced.edu


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Black Holes, Gravity, and Information Theory

ABSTRACT A particle physicist looks at new ideas about black holes and

  • gravity. Already with some successful verification, the new

ideas challenge long accepted views about the nature of the

  • world. Disclaimer: these ideas are not due to me, I am just an

experimentalist trying to make some sense of them.

Schools of Natural Science and Engineering, University of California Merced Director, California Advanced Solar Technologies Institute (UC Solar) rwinston@ucmerced.edu http://ucsolar.org

Roland Winston

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Nonimaging Optics 3

Black Hole Thermodynamics Informs Solar Energy Conversion

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4

  • S. Chandrasekhar, the most distinguished astrophysicist of the 20th century

discovered that massive stars collapse (neutron stars, even black hole)

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Nonimaging Optics 5

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Nonimaging Optics 6

Invention of the Second Law of Thermodynamics by Sadi Carnot

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Invention of Entropy

(The Second Law of Thermodynamics)

  • Sadi Carnot had fought with Napoleon, but by 1824 was a

student studying physics in Paris. In that year he wrote:

  • Reflections on the Motive Power of Heat and on Machines

fitted to Develop that Power.

  • The conservation of energy (the first law of thermodynamics)

had not yet been discovered, heat was considered a conserved fluid-”caloric”

  • So ENTROPY (the second law of thermodynamics) was

discovered first.

  • A discovery way more significant than all of Napoleon’s

conquests! (personal bias)

Nonimaging Optics 7

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SLIDE 8

8

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SLIDE 9

Nonimaging Optics 9

TdS = dE + PdV

is arguably the most important equation in Science If we were asked to predict what currently accepted principle would be valid 1,000 years from now, The Second Law would be a good bet (personal bias) From this we can derive entropic forces F = T grad S The S-B radiation law (const. 𝑈4) Information theory (Shannon, Gabor) Accelerated expansion of the Universe Even Gravity! And much more modestly---- The design of thermodynamically efficient optics

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BLACK HOLE THERMODYNAMICS

10

The horizon from which lighT can’T escape (½ 𝑛𝑤2) = 𝐻 𝑁𝑛/𝑆 G is Newton’s gravitational constant 𝑈ℎ𝑓 ℎ𝑝𝑠𝑗𝑨𝑝𝑜 𝑠𝑏𝑒𝑗𝑣𝑡 𝑗𝑡 𝑆 = 2𝑁𝐻/𝑤2 Change 2𝑁𝐻/𝑤2 to 2𝑁𝐻/𝑑2 and hope for the best At least the units are right, and so is the value! THE SCHARZSCHILD RADIUS Is this some exotic place, out of Star Trek? The fact is, we could be at the horizon and not even notice! Just place a sufficient mass at the center of the Milky way (~ 27,000 LY from us) M = Rc2/2G 𝑕 = 𝑁𝐻 𝑆2 = 0.5 𝑑2 𝑆 = 0.5 𝑑2 27,000𝑀𝑍 = 5 27,000 ~0.0002 𝑛𝑓𝑢𝑓𝑠𝑡/sec2 𝑀𝑍 = |𝑑2/10| 𝑛𝑓𝑢𝑓𝑠𝑡 compared to terrestrial g ~ 9.8 𝑛𝑓𝑢𝑓𝑠𝑡/sec2

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PLANCK AREA 𝐵𝑄 =

Gℏ 𝑑3 = 2.7 × 10−70 𝑁𝑓𝑢𝑓𝑠2

½ kT per degree of freedom N = number of degrees of freedom = A/Ap = 4𝜌𝑆2c3/𝐻ℏ = 16𝜌 𝐻𝑁2/ℏ𝑑 Total Energy = 𝑁𝑑2 = ½ kT × 𝑂 Finding the temperature

½ 𝑙𝑈 × 𝑂 = 𝑁𝑑2 𝑙𝑈 = 2𝑁𝑑2/𝑂 = ℏ𝑑3/(8𝜌𝐻𝑁)

Stephen Hawking Jacob Bekenstein John Wheeler Max Planck

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𝐵𝑄 = 1 pixel on horizon surface or 1 bit of information –Holographic Principle t’Hooft 1 planck area = 2.61209 × 10-70 m2 Gerardus 't Hooft

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Erik Verlinde (Spinoza Prize 2011) lecturing at the Perimeter Institute 5.12.2010 Home of Lee Smolin and colleagues

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𝐵𝑄= one degree of freedom on horizon surface (1 pixel) All information is stored on this surface (holographic principle, ‘t Hooft) Equipartition of normal matter

1 2 𝑙𝑈/𝑒𝑓𝑕𝑠𝑓𝑓 𝑝𝑔 𝑔𝑠𝑓𝑓𝑒𝑝𝑛 = 1 2 𝑙𝑈/𝑂

N = number of degrees of freedom =

𝐵 𝐵𝑞 = 4𝜌𝑆2𝑑3 𝐻ℏ

recall (𝑆 = 2𝑁𝐻/𝑑2) 𝑂 = 16𝜌𝐻𝑁2/ℏ𝑑 Finding the temperature

1 2 𝑙𝑈 × 𝑂 = 𝑁𝑑2 𝑢ℎ𝑓𝑜 𝑙𝑈 = 2𝑁𝑑2/𝑂 = ℏ𝑑3/(8𝜌𝐻𝑁)

Later we will need 1/𝑙𝑈 = 8𝜌𝐻𝑁/ℏ𝑑3 =4𝜌𝑆/ℏ𝑑

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Deriving the Black Hole entropy purely from thermodynamics Build up the black hole my adding mass in small increments Use the second law 𝑈𝑒𝑇 = 𝑒𝐹 = 𝑑2𝑒𝑁 𝑒𝑇/𝑙 = 𝑑2𝑒𝑁/𝑙𝑈 = 8𝜌𝑑2 𝐻𝑁𝑒𝑁/ℏ𝑑3 𝑇/𝑙 = 4𝜌 𝐻𝑁2/ℏ𝑑3 Recall 𝑆 = 2𝐻𝑁/𝑑2, so 𝑇/𝑙 = 𝜌𝑆2 𝑑3/𝐻ℏ =

1 4 𝐵/𝐵𝑞 (we recover Hawking’s factor of 4)

  • I was so happy with his result, I emailed it to our “cosmo club” last November

Even Eli Yablonovitch (UC Berkeley) liked it!

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Entropy of a string of zero’s and one’s 0111001010111000011101011010101 The connection between entropy and the information is well known. The entropy of a system measures one’s uncertainty or lack of information about the actual internal configuration of the system, suppose that all that is known about the internal configuration of a system is that it may be found in any of a number of states with probability 𝑞𝑜 for the nth state. Then the entropy associated with the system is given by Shannon’s formula: 𝑇 = −𝑙 𝑞𝑜 ln 𝑞𝑜

𝑜

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Nonimaging Optics 17

S = k ( ln2) N or as modified by Hawking S = k(1/4) N for a Black Hole

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18

On board the rocket ship 0111001010111000011101011010101 Further away 0 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 1 1 1 0 1 0 1 1 Still further away 0 1 1 1 1 Still further 0 1 1 1 Finally, behind the horizon

goodbye

As we fall into the death star, information we send decreases due to red shift Like the lower frequency of the horn sound from a receeding train “Gravity is moving information around” Erik Verlinde

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Information content of the world

19

Notice Shannon’s entropy maximizes for all Pn = ½ (total ignorance) Maximum S/k = N log 2 where N is the number of bits. So 1 bit (1 degree of freedom) is log 2 of information. Seth Lloyd was Lin Tian’s advisor

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Acceleration of the World

From 𝑈𝑒𝑇 = 𝐺𝑒𝑦 (entropic force) direction of an entropic force is increase 𝑇 or 𝑆 𝐺 = 𝑈 𝛼𝑇 (recall

𝑇 𝑙 = 1 4 𝐵 𝐵𝑞 = 𝜌𝑆2 𝑑3 𝐻ℏ)

𝑙𝑈 = ℏ𝑑 4𝜌𝑆 𝐺 =

𝑑4 2𝐻 (outward to horizon)

“Pressure” = 𝑈𝑓𝑜𝑡𝑗𝑝𝑜 =

𝐺 4𝜌𝑆2 = 1 8𝜌𝐻𝑆2 (~ 1 3 𝜍𝑑𝑠𝑗𝑢𝑗𝑑𝑏𝑚 𝑑2)

𝜍𝑑𝑠𝑗𝑢𝑗𝑑𝑏𝑚 =

3C2 8𝜌𝐻𝑆2 𝑆 = 𝑆𝐼 (Hubble radius) ~ c 13.7 × 109 LY

20

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Connection with Unruh Temperature

  • 𝑙𝑈 = 𝑏/2𝜌 At 𝑆𝐼 (horizon)
  • a = 0.5 c2/𝑆𝐼 = 5/LY ~ 5/13.7× 109

~0.4𝑦10−9𝑛𝑓𝑢𝑓𝑠𝑡/𝑡𝑓𝑑2

  • kT = ℏ𝑑/(4𝜌R)
  • T ~ 10−30 Kelvin At 𝑆𝐼 (horizon)

21

Some scaling laws

T ~ R a ~ R N ~ 𝑆2 S ~ 𝑆2

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From G. Smoot et al, 2010

22

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23

George Smoot, Nobel Prize 2006,$1M quiz show prize Are You Smarter than a 5th Grader? 2009

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24

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EPILOGUE

In case you have been wondering, WHERE IS UC MERCED???

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Where we are

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28

Thank you…

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Thermodynamically Efficient Solar Concentration

ABSTRACT Thermodynamically efficient optical designs are dramatically improving the performance and cost effectiveness of solar concentrating and illumination systems.

Schools of Natural Science and Engineering, University of California Merced Director, California Advanced Solar Technologies Institute (UC Solar) rwinston@ucmerced.edu http://ucsolar.org

City University of Hong Kong 3/27/2012

Roland Winston

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1 radiation source 2 aperture 3 absorber

The general concentrator problem

Concentration C is defined as A2/A3

What is the “best” design?

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1 radiation source 2 aperture 3 absorber

Characteristics of an optimal concentrator design Let Source be maintained at T1 (sun)

Then 𝑈3 will reach 𝑈

1 ↔ 𝑄31 = 1

Proof: 𝑟13 = 𝜏𝑈

1 4𝐵1𝑄13 = 𝜏𝑈3 4𝐵3𝑄31

But 𝑟3𝑢𝑝𝑢𝑏𝑚=𝜏𝑈3

4 × 𝐵3 ≥ 𝑟13 at steady state

𝑈3 ≤ 𝑈

1 (second law)→𝑄31=1 ↔ 𝑈3 =𝑈 1

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32

Summary: For a thermodynamically efficient design

  • 1. 𝑄

31 ( where 𝑄 31 = probability of radiation

from receiver to source) = 1 Second Law

  • 2. C = 1/𝑄

21 where 𝑄 21 = probability of

radiation from receiver to source

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I am frequently asked- Can this possibly work?

Nonimaging Optics 33

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How?

  • Non-imaging optics:

– External Compound Parabolic Concentrator (XCPC) – Non-tracking – Thermodynamically efficient – Collects diffuse sunlight

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The Design: Solar Collectors

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Power Output of the Solar Cooling System

38

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Delivering BTUs from the Sun

The Best Use of our Sun

nitin.parekh@b2usolar.com tammy.mcclure@b2usolar.c

  • m

www.b2usolar.com

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SLIDE 42

Demonstrated Performance

10kW test loop NASA/AMES 10kW Array Gas Technology Institute Conceptual Testing SolFocus & UC Merced

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SLIDE 43

Hospital in India

Roland, I hope Shanghai went well Hit 200C yesterday with just 330W DNI. Gary D. Conley~Ancora Imparo www.b2uSolar.com

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Sun-Therm Collector

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EPILOGUE

In case you have been wondering, WHERE IS UC MERCED???

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Where we are

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Thank You

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Nonimaging Optics 49

What is the best efficiency possible? When we pose this question, we are stepping outside the bounds of a particular subject. Questions of this kind are more properly the province of thermodynamics which imposes limits on the possible, like energy conservation and the impossible, like transferring heat from a cold body to a warm body without doing work. And that is why the fusion of the science of light (optics) with the science of heat (thermodynamics), is where much of the excitement is today. During a seminar I gave some ten years ago at the Raman Institute in Bangalore, the distinguished astrophysicist Venkatraman Radhakrishnan famously asked “how come geometrical optics knows the second law of thermodynamics?” This provocative question from C. V. Raman’s son serves to frame our discussion.

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Limits to Concentration

  • from l max sun ~ 0.5 m

we measure Tsun ~ 6000° (5670°)

Without actually going to the Sun!

  • Then from s T4 - solar surface flux~ 58.6 W/mm2

– The solar constant ~ 1.35 mW/mm2

– The second law of thermodynamics – C max ~ 44,000 – Coincidentally, C max = 1/sin2q – This is evidence of a deep connection to optics

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SLIDE 51

1/sin2θ Law of Maximum Concentration

Nonimaging Optics 51

  • The irradiance, of sunlight, I, falls off as 1/r2 so that at the orbit of earth, I2

is 1/sin2θ xI1, the irradiance emitted at the sun’s surface.

  • The 2nd Law of Thermodynamics forbids concentrating I2 to levels greater

than I1, since this would correspond to a brightness temperature greater than that of the sun.

  • In a medium of refractive index n, one is allowed an additional factor of n2

so that the equation can be generalized for an absorber immersed in a refractive medium as

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During a seminar at the Raman Institute (Bangalore) in 2000,

  • Prof. V. Radhakrishnan asked me:

How does geometrical optics know the second law of thermodynamics?

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SLIDE 53

Nonimaging Optics 53

Invention of the Second Law of Thermodynamics by Sadi Carnot

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Invention of Entropy

(The Second Law of Thermodynamics)

  • Sadi Carnot had fought with Napoleon, but by 1824 was a

student studying physics in Paris. In that year he wrote:

  • Reflections on the Motive Power of Heat and on Machines

fitted to Develop that Power.

  • The conservation of energy (the first law of thermodynamics)

had not yet been discovered, heat was considered a conserved fluid-”caloric”

  • So ENTROPY (the second law of thermodynamics) was

discovered first.

  • A discovery way more significant than all of Napoleon’s

conquests!

Nonimaging Optics 54

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SLIDE 55

Nonimaging Optics 55

𝑈𝑒𝑇 = 𝑒𝐹 + 𝑄𝑒𝑊

is arguably the most important equation in Science If we were asked to predict what currently accepted principle would be valid 1,000 years from now, The Second Law would be a good bet From this we can derive entropic forces F = T grad S The S-B radiation law (const. 𝑈4) Information theory (Shannon, Gabor) Accelerated expansion of the Universe Even Gravity! And much more modestly---- The design of thermodynamically efficient optics

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Failure of conventional optics PAB << PBA where PAB is the probability of

radiation starting at A reaching B--- etc

Nonimaging Optics 56

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SLIDE 57

Nonimaging Concentrators

  • It was the desire to bridge the gap between the

levels of concentration achieved by common imaging devices, and the sine law of concentration limit that motivated the invention of nonimaging optics.

Nonimaging Optics 57

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SLIDE 58

First and Second Law of Thermodynamics

Nonimaging Optics is the theory of maximal efficiency radiative transfer It is axiomatic and algorithmic based As such, the subject depends much more on thermodynamics than on optics To learn efficient optical design, first study the

theory of furnaces.

`

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Chandra

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THE THEORY OF FURNACES

B1 B2 B3 B1 B2 B3 B4 P Q Q’ P’ (a) (b)

Radiative transfer between walls in an enclosure

HOTTEL STRINGS

Michael F. Modest, Radiative Heat Transfer, Academic Press 2003

Hoyt C. Hottel, 1954, Radiant-Heat Transmission, Chapter 4 in William H. McAdams (ed.), Heat Transmission, 3rd ed. McGRAW-HILL

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Strings 3-walls

1 2 3

qij = AiPij Pii = 0 P12 + P13 = 1 P21 + P23 = 1 3 Eqs P31 + P32 = 1 Ai Pij = Aj Pji 3 Eqs

P12 = (A1 + A2 – A3)/(2A1) P13 = (A1 + A3 – A2)/(2A1) P23 = (A2 + A3 – A1)/(2A2)

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Strings 4-walls

1 2 3 4 5 6

P14 = [(A5 + A6) – (A2 + A3)]/(2A1)

P23 = [(A5 + A6) – (A1 + A4)]/(2A2)

P12 + P13 + P14 = 1

P21 + P23 + P24 = 1

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SLIDE 64

Limit to Concentration

P23 = [(A5 + A6) – (A1 + A4)]/(2A2)S P23= sin(q) as A3 goes to infinity

  • This rotates for symmetric systems to sin 2(q)

1 2 3 4 5 6

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SLIDE 65

String Method

  • We explain what strings are by way of

example.

  • We will proceed to solve the problem of

attaining the sine law limit of concentration for the simplest case, that of a flat absorber.

Nonimaging Optics 65

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SLIDE 66

String method deconstructed

  • 1. Choose source
  • 2. Choose aperture
  • 3. Draw strings
  • 4. Work out 𝑄

12𝐵1

  • 5. 𝑄

12𝐵1 = 1 2 𝑚𝑝𝑜𝑕 𝑡𝑢𝑠𝑗𝑜𝑕𝑡 − 𝑡ℎ𝑝𝑠𝑢 𝑡𝑢𝑠𝑗𝑜𝑕𝑡 = 𝐵3 = 0.55𝐵1 = 0.12𝐵1

  • 6. Fit 𝐵3 between extended strings => 2 degrees of freedom, Note that

𝐵3 = 𝑑𝑑′ = 1 2 [(𝑏𝑐′ + 𝑏′𝑐 − 𝑏𝑐 + 𝑏′𝑐′ ]

  • 7. Connect the strings. That’s all there is to it!
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SLIDE 67

String Method Example: CPC

  • We loop one end of a

“string” to a “rod” tilted at angle θ to the aperture AA’ and tie the other end to the edge of the exit aperture B’.

  • Holding the length fixed,

we trace out a reflector profile as the string moves from C to A’.

Nonimaging Optics 67

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String Method Example: CPC

Nonimaging Optics 68

2D concentrator with acceptance (half) angle  absorbing surface

string

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String Method Example: CPC

Nonimaging Optics 69

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String Method Example: CPC

Nonimaging Optics 70

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String Method Example: CPC

Nonimaging Optics 71

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String Method Example: CPC

Nonimaging Optics 72

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String Method Example: CPC

Nonimaging Optics 73

stop here, because slope becomes infinite

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String Method Example: CPC

Nonimaging Optics 74

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String Method Example: CPC

Nonimaging Optics 75

B B’ A’ A C

Compound Parabolic Concentrator (CPC)

(tilted parabola sections)

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SLIDE 76

String Method Example: CPC

Nonimaging Optics 76

 sin A' A AC BB' A' B A B' Α' Β Β Β' ΑC Α Β'      

' sin ' BB AA   

  2 sin 1 2 ) BB' AA' ( C(cone) sin 1 BB' AA' C    

sine law of concentration limit!

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SLIDE 77

String Method Example: CPC

  • The 2-D CPC is an ideal concentrator, i.e., it

works perfectly for all rays within the acceptance angle q,

  • Rotating the profile about the axis of

symmetry gives the 3-D CPC

  • The 3-D CPC is very close to ideal.

Nonimaging Optics 77

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SLIDE 78

String Method Example: CPC

  • Notice that we have kept the optical length of

the string fixed.

  • For media with varying index of refraction

(n), the physical length is multiplied by n.

  • The string construction is very versatile and

can be applied to any convex (or at least non- concave) absorber…

Nonimaging Optics 78

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SLIDE 79

String Method Example: Tubular Absorber

  • String construction for a tubular absorber as would be appropriate

for a solar thermal concentrator.

Nonimaging Optics 79

' 1 2 sin AA C a    

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SLIDE 80

String Method Example: Collimator for a Tubular Light Source

80

tubular light source R

kind of “involute”

  • f the circle

étendue conserved  ideal design!

2R/sin

Nonimaging Optics

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SLIDE 81

Solar Energy Applications 81

Non-imaging Concentrator

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SLIDE 82

1 radiation source 2 aperture 3 absorber

The general concentrator problem

Concentration C is defined as A2/A3

What is the “best” design?

slide-83
SLIDE 83

1 radiation source 2 aperture 3 absorber

Characteristics of an optimal concentrator design Let Source be maintained at T1 (sun)

Then 𝑈3 will reach 𝑈

1 ↔ 𝑄31 = 1

Proof: 𝑟13 = 𝜏𝑈

1 4𝐵1𝑄13 = 𝜏𝑈3 4𝐵3𝑄31

But 𝑟3𝑢𝑝𝑢𝑏𝑚=𝜏𝑈3

4 × 𝐵3 ≥ 𝑟13 at steady state

𝑈3 ≤ 𝑈

1 (second law)→𝑄31=1 ↔ 𝑈3 =𝑈 1

slide-84
SLIDE 84

84

Summary: For a thermodynamically efficient design

  • 1. 𝑄

31 ( where 𝑄 31 = probability of radiation

from receiver to source) = 1 Second Law

  • 2. C = 1/𝑄

21 where 𝑄 21 = probability of

radiation from receiver to source

slide-85
SLIDE 85

How?

  • Non-imaging optics:

– External Compound Parabolic Concentrator (XCPC) – Non-tracking – Thermodynamically efficient – Collects diffuse sunlight

slide-86
SLIDE 86

The Design: Solar Collectors

slide-87
SLIDE 87
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SLIDE 88
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SLIDE 89

Power Output of the Solar Cooling System

89

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SLIDE 90
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SLIDE 91

Delivering BTUs from the Sun

The Best Use of our Sun

nitin.parekh@b2usolar.com tammy.mcclure@b2usolar.c

  • m

www.b2usolar.com

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SLIDE 92

Demonstrated Performance

10kW test loop NASA/AMES 10kW Array Gas Technology Institute Conceptual Testing SolFocus & UC Merced

slide-93
SLIDE 93

Hospital in India

Roland, I hope Shanghai went well Hit 200C yesterday with just 330W DNI. Gary D. Conley~Ancora Imparo www.b2uSolar.com

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SLIDE 94
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SLIDE 95

I am frequently asked- Can this possibly work?

Nonimaging Optics 95

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SLIDE 96

EPILOGUE

In case you have been wondering, WHERE IS UC MERCED???

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SLIDE 97

Where we are

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SLIDE 98
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SLIDE 99

99

Thank you…

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SLIDE 100

Highlight Project—Solar Thermal

  • UC Merced has developed the External Compound Parabolic

Concentrator (XCPC)

  • XCPC features include:

– Non-tracking design – 50% thermal efficiency at 200°C – Installation flexibility – Performs well in hazy conditions

  • Displaces natural gas consumption and reduces emissions
  • Targets commercial applications such as double-effect

absorption cooling, boiler preheating, dehydration, sterilization, desalination and steam extraction

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UC Merced 250°C Thermal Test Loop

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Testing

  • Efficiency (80 to 200 °C)
  • Optical Efficiency (Ambient temperature)
  • Acceptance Angle
  • Time Constant
  • Stagnation Test
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Acceptance Angle

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SLIDE 107
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SLIDE 108

Power Output of the Solar Cooling System

108

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SLIDE 109
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SLIDE 110

Comparison

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SLIDE 111
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SLIDE 112

XCPC Applications

  • Membrane

Distillation

  • Heat Driven

Industrial Process

  • Technology feasibility
  • Economic

Competitiveness

  • Market Potential
  • Time to
  • Absorption Chillers
  • Adsorption Chillers
  • Desiccant Cooling
  • Heat Driven Electrical

Power Generation

  • Steam Cycle Based

Products

  • Stirling Cycle Based

Products

  • Heat Driven Water
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SLIDE 113

Delivering BTUs from the Sun

The Best Use of our Sun

nitin.parekh@b2usolar.com tammy.mcclure@b2usolar.c

  • m

www.b2usolar.com

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SLIDE 114

Demonstrated Performance

10kW test loop NASA/AMES 10kW Array Gas Technology Institute Conceptual Testing SolFocus & UC Merced

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SLIDE 115