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Why are particle accelerators so inefficient?

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Presentation on theme: "Why are particle accelerators so inefficient?"β€” Presentation transcript:

1 Why are particle accelerators so inefficient?
Philippe Lebrun CERN, Geneva, Switzerland Workshop on Compact and Low-Consumption Magnet Design for Future Linear and Circular Colliders CERN, 9-12 October 2014

2 Workshop on Magnet Design Nov 2014
Why bother about efficiency? M. van der Hoeven, Energy efficiency report 2013, IEA Ph. Lebrun Workshop on Magnet Design Nov 2014

3 Workshop on Magnet Design Nov 2014
The largest energy resource M. van der Hoeven, Energy efficiency report 2013, IEA Ph. Lebrun Workshop on Magnet Design Nov 2014

4 Workshop on Magnet Design Nov 2014
Electricity price projections European Commission, Directorate-General for Energy EU energy trends to 2030, Reference Scenario 2010 CERN average Ph. Lebrun Workshop on Magnet Design Nov 2014

5 Accelerator β€œblack box” model
Electricity 𝑷 π’ˆπ’“π’Šπ’… Particle energy 𝑬 Accelerator/Collider Particles on target 𝑡 Luminosity 𝓛 Heat 𝑸 Ph. Lebrun Workshop on Magnet Design Nov 2014

6 Accelerator β€œmulti black box” model
Infrastructure Accelerator systems β€œIntrinsic” losses Electricity 𝑷 π’ˆπ’“π’Šπ’… Particle energy 𝑬 Beam power 𝑷 π’ƒπ’†π’‚π’Ž Stored energy 𝑾 π’ƒπ’†π’‚π’Ž Particles on target 𝑡 Luminosity 𝓛 Heat Ph. Lebrun Workshop on Magnet Design Nov 2014

7 Workshop on Magnet Design Nov 2014
A two-step approach Understand relations between Performance parameters Particle energy 𝐸 Luminosity β„’ Beam parameters Beam power 𝑃 π‘π‘’π‘Žπ‘š Beam stored energy π‘Š π‘π‘’π‘Žπ‘š Analyse sources of losses β€œIntrinsic” losses Synchrotron radiation Beam image currents Electron cloud Accelerator systems RF Magnets Vacuum Beam instrumentation … Infrastructure Electrical distribution Cooling & ventilation Cryogenics Ph. Lebrun Workshop on Magnet Design Nov 2014

8 A two-step approach [1/2]
Understand relations between Performance parameters Particle energy 𝐸 Luminosity β„’ Beam parameters Beam power 𝑃 π‘π‘’π‘Žπ‘š Beam stored energy π‘Š π‘π‘’π‘Žπ‘š Analyse sources of losses β€œIntrinsic” losses Synchrotron radiation Beam image currents Electron cloud Accelerator systems RF Magnets Vacuum Beam instrumentation … Infrastructure Electrical distribution Cooling & ventilation Cryogenics Ph. Lebrun Workshop on Magnet Design Nov 2014

9 Beam power, particle energy, intensity Linear accelerators
Average beam power 𝑃 π‘π‘’π‘Žπ‘š =𝛿𝐼 𝐸 𝑒 = 𝑓 π‘Ÿπ‘’π‘ 𝑁 𝑝𝑒𝑙𝑠𝑒 𝐸 Example: ESS proton linac 𝐸=2 GeV 𝐼=62.5 mA 𝛿=4 % 𝑃 π‘π‘’π‘Žπ‘š =5 MW average Beam current Particle energy Duty factor Repetition frequency Particles per pulse Ph. Lebrun Workshop on Magnet Design Nov 2014

10 Beam power, particle energy, luminosity Linear colliders
Lower-energy regime (small beamstrahlung) β„’ ~ 𝛽 𝑦 πœ€ 𝑦 𝑃 π‘π‘’π‘Žπ‘š 𝐸 High-energy regime (large beamstrahlung) β„’ ~ 𝜎 𝑧 πœ€ 𝑦 𝑃 π‘π‘’π‘Žπ‘š 𝐸 Example: CLIC Beam power Particle energy Vertical beta at collision Vertical emittance Bunch length Ph. Lebrun Workshop on Magnet Design Nov 2014

11 Beam power, particle energy, intensity Circular accelerators
Beam energy π‘Š π‘π‘’π‘Žπ‘š = 𝑁 𝑝𝑒𝑙𝑠𝑒 𝐸 Average beam power 𝑃 π‘π‘’π‘Žπ‘š = 𝑁 𝑝𝑒𝑙𝑠𝑒 𝐸 𝑇 𝑐𝑦𝑐𝑙𝑒 Example: SPS (design) 𝐸=400 GeV 𝑁 𝑝𝑒𝑙𝑠𝑒 =1013 𝑇 𝑐𝑦𝑐𝑙𝑒 =5.8 s π‘Š π‘π‘’π‘Žπ‘š =640 kJ 𝑃 π‘π‘’π‘Žπ‘š =110 kW Particles per pulse Particle energy [eV] Accelerator cycle period Ph. Lebrun Workshop on Magnet Design Nov 2014

12 Stored energy, particle energy, luminosity Circular colliders [1/2]
For round beams with crossing angle β„’= 𝑁 𝑏 2 𝑛 𝑏 𝑓 π‘Ÿπ‘’π‘£ 𝛾 4πœ‹ πœ€ 𝑛 𝛽 βˆ— 𝐹 Noting that π‘Š π‘π‘’π‘Žπ‘š = π‘š 0 𝑐 2 𝛾 𝑁 𝑏 𝑛 𝑏 =𝐸 𝑁 𝑏 𝑛 𝑏 Then β„’= 1 4πœ‹ π‘š 0 𝑐 2 𝑓 π‘Ÿπ‘’π‘£ 𝑁 𝑏 πœ€ 𝑛 𝐹 𝛽 βˆ— π‘Š π‘π‘’π‘Žπ‘š = 𝛾 4πœ‹ 𝑓 π‘Ÿπ‘’π‘£ 𝑁 𝑏 πœ€ 𝑛 𝐹 𝛽 βˆ— π‘Š π‘π‘’π‘Žπ‘š 𝐸 Number of bunches Particles per bunch Revolution frequency Geometrical factor Normalized emittance Beta function at collision Circumference Collision optics Injector chain Ph. Lebrun Workshop on Magnet Design Nov 2014

13 Avg. beam power, particle energy, luminosity Circular colliders [2/2]
Introducing β€œaverage” beam power, i.e. beam stored energy divided by beam lifetime 𝑃 π‘Žπ‘£π‘” π‘π‘’π‘Žπ‘š = π‘Š π‘π‘’π‘Žπ‘š 𝜏 π‘π‘’π‘Žπ‘š ~ 𝐸ℒ 𝜏 π‘π‘’π‘Žπ‘š Example: LHC nominal 𝐸=7 TeV 𝐼=0.58 A β„’=1.0E34 cmβˆ’2.sβˆ’1 π‘Š π‘π‘’π‘Žπ‘š =362 MJ taking 𝜏 π‘π‘’π‘Žπ‘š β‰ˆ10 h, then 𝑃 π‘Žπ‘£π‘” π‘π‘’π‘Žπ‘š β‰ˆ10 kW i.e. about 20 kW for two beams Ph. Lebrun Workshop on Magnet Design Nov 2014

14 Workshop on Magnet Design Nov 2014
Collider COP For all types of colliders , the average beam power is proportional to the product of particle energy and luminosity We can then define a β€œcollider coefficient of performance” (CoCOP) as the product of collision energy and luminosity πΆπ‘œπΆπ‘‚π‘ƒ=2 𝐸 β„’ [E34 TeV.cmβˆ’2.sβˆ’1] The CoCOP can then be compared to the beam power for different machines, and the ratio πΆπ‘œπΆπ‘‚π‘ƒ/ 𝑃 π‘π‘’π‘Žπ‘š [E34 TeV.cm-2.s-1/MW] used to quantify the relation between beam power and collider performance Notes The CoCOP has the dimension of an inverse cross-section The CoCOP may be seen as an attempt to quantify the β€œphysics reach” of the collider. However, it gives the same weight to energy and luminosity, which are both important but not equivalent. A β€œphysics coefficient of performance” (PhyCOP) could be defined by a Cobb-Douglas function π‘ƒβ„Žπ‘¦πΆπ‘‚π‘ƒ=2 𝐸 β„’ 𝑛 with 𝑛<1 Ph. Lebrun Workshop on Magnet Design Nov 2014

15 Workshop on Magnet Design Nov 2014
Collider COP Ph. Lebrun Workshop on Magnet Design Nov 2014

16 Collider COP/beam power Note logarithmic scale
Ph. Lebrun Workshop on Magnet Design Nov 2014

17 A two-step approach [2/2]
Understand relations between Performance parameters Particle energy 𝐸 Luminosity β„’ Beam parameters Beam power 𝑃 π‘π‘’π‘Žπ‘š Beam stored energy π‘Š π‘π‘’π‘Žπ‘š Analyse sources of losses β€œIntrinsic” losses Synchrotron radiation Beam image currents Electron cloud Accelerator systems RF Magnets Vacuum Beam instrumentation … Infrastructure Electrical distribution Cooling & ventilation Cryogenics Ph. Lebrun Workshop on Magnet Design Nov 2014

18 Example of analysis CLIC power consumption by technical system
500 GeV A Total 272 MW 1.5 TeV Total 364 MW 3 TeV Total 589 MW CV: cooling & ventilation, NW: electrical network losses, BIC: beam instrumentation & control Ph. Lebrun Workshop on Magnet Design Nov 2014

19 Collider power and efficiency
Ph. Lebrun Workshop on Magnet Design Nov 2014

20 Collider efficiencies Note logarithmic scale
Ph. Lebrun Workshop on Magnet Design Nov 2014

21 Sankey diagrams are useful tools CLIC power flow
Power flow for the main RF system of CLIC at 3 TeV Overall power flow for CLIC at 3 TeV Ph. Lebrun Workshop on Magnet Design Nov 2014

22 Accelerator systems: magnets Power consumption
Normal conducting (copper) Power dissipation per unit length 𝑃 𝐿 ~ 𝜌 𝐢𝑒 𝑗𝐡 Total power dissipation 𝑃 ~ 𝜌 𝐢𝑒 𝑗𝐡𝑅 ~ 𝜌 𝐢𝑒 𝑗 𝐸 π‘π‘’π‘Žπ‘š -> power dissipation can be reduced by choosing a low current density Superconducting Total power (refrigeration) 𝑃 ~ 𝐿 ~ 𝑅 -> independent of magnetic field

23 Magnet systems for circular accelerators Specific power consumption
Superconductivity and higher fields break the canonical ~ 250 kW/GeV specific power consumption of conventional synchrotron magnets

24 Accelerator systems: RF Development of high-efficiency modulators
Useful flat-top Energy 22MW*140ΞΌs = 3.08kJ Rise/fall time energy 22MW*5ΞΌs*2/3= 0.07kJ Set-up time energy 22MW*5ΞΌs = 0.09kJ Pulse efficiency 0.95 Pulse forming system efficiency 0.98 Charger efficiency 0.96 Power efficiency 0.94 Overall Modulator efficiency 89% D. Nisbet & D. Aguglia Ph. Lebrun HF 2014 Beijing

25 Accelerator systems: RF β€œSmart” RF loads
RF-to-DC power conversion F.Caspers, M. Betz, A. Grudiev & H. Sapotta, Design concepts for RF-DC conversion in particle accelerator systems, IPAC10 High-temperature heat recovery S. Federmann, M. Betz, F.Caspers, RF loads for energy recovery, IPAC12 Ph. Lebrun Workshop on Magnet Design Nov 2014

26 Workshop on Magnet Design Nov 2014
Infrastructure systems: cryogenics COP of cryogenic helium refrigerators (installed) Ph. Lebrun Workshop on Magnet Design Nov 2014

27 Cryogenic refrigeration Efficiency degrades at reduced capacity
Ph. Lebrun Workshop on Magnet Design Nov 2014

28 Workshop on Magnet Design Nov 2014
Infrastructure systems: cooling & ventilation Efficiency of heat transport in water vs. air Heat to be extracted 𝑄= π‘š 𝐢 βˆ†π‘‡ Mechanical power on coolant π‘Š= π‘š βˆ†π‘ƒ πœ€ 𝜌 with πœ€ = circulator efficiency Specific power π‘Š 𝑄= βˆ†π‘ƒ πœ€ 𝜌 𝐢 βˆ†π‘‡ πœ€=0.5 Ph. Lebrun Workshop on Magnet Design Nov 2014

29 Summary Reasons for low efficiency
For all types of machines, the average beam power is proportional to the product of particle energy and luminosity or delivered particle flux The energy-luminosity performance, and possibly the physics reach of a collider can be represented by a single β€œcoefficient of performance” The ratio of β€œcoefficient of performance” to beam power quantifies the relation between collider performance and beam parameters: it is lower for single-pass machines than for circular colliders β€œIntrinsic” losses due to basic physics processes add up to the beam power and often exceed it (synchrotron radiation) Accelerator systems and infrastructure represent the bulk of electrical power consumption Comparing total power consumption and average beam power yields very low values for overall β€œgrid-to-beam” efficiency Linear colliders show higher overall β€œgrid-to beam” efficiencies than circular colliders. This partly compensates for their much lower COP/beam power ratio Ph. Lebrun Workshop on Magnet Design Nov 2014

30 Outlook Strategies for better efficiency
Maximize energy-luminosity performance per unit of beam power Minimize circumference for a given energy (high-field magnets) Operate at beam-beam limit Low-emittance, high-brilliance beams Low-beta insertions, small crossing angle (β€œcrabbing”) Short bunches (beamstrahlung) Contain β€œintrinsic” losses Synchrotron radiation Beam image currents Electron-cloud Optimize accelerator systems RF power generation and acceleration (deceleration) Low-dissipation magnets (low current density, pulsed, superconducting, permanent) Optimize infrastructure systems Efficient cryogenics (heat loads, refrigeration cycles & machinery, distribution) Limit electrical distribution losses (cables, transformers) Absorb heat loads preferably in water rather than air Recover and valorise waste heat Ph. Lebrun Workshop on Magnet Design Nov 2014

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