Evaluating An Emergent Behaviour Algorithm for Energy Conservation - - PowerPoint PPT Presentation

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Evaluating An Emergent Behaviour Algorithm for Energy Conservation - - PowerPoint PPT Presentation

Oct 16, 2022 123 likes •378 views

Evaluating An Emergent Behaviour Algorithm for Energy Conservation in Lighting Systems Using JCSP Anna Kosek Aly Syed Jon Kerridge Energy saving Beneficial for the environment Saving money Helps reducing load peaks in the power

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Evaluating An Emergent Behaviour Algorithm for Energy Conservation in Lighting Systems Using JCSP

Anna Kosek Aly Syed Jon Kerridge

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Energy saving

  • Beneficial for the environment
  • Saving money
  • Helps reducing load peaks in the power system
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Building automation system trends

  • Pervasive
  • Distributed
  • Adaptive
  • Performing “intelligent” behaviour
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The Brick Factory

  • Material
  • Cheap (limited),
  • expensive (not

limited).

  • Employees
  • Manager
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Challenges

  • Is it possible to make this brick making

company reliable, as long as there are employees to work?

  • How to minimize the production cost by using

available employees and material?

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Lazy and Enthusiastic Employee algorithm

Request Lazy employee Enthusiastic employee The overall production is to small Waits and increases the workload only slightly Starts working immediately at full speed The overall production is to large Stops working immediately Waits and decrease the workload only slightly

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Employees behaviour

  • The first reaction is crucial
  • Reduction of feedback loop problem
  • Various reaction
  • Various increase/decrease factor
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Margin

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Increase/decrease factor

  • Independent of the actual production rate
  • Constant (linear)
  • Variable (based on a curve)
  • Dependent of the actual production rate
  • Distance-based
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Constant factor

Enthusiastic Lazy Increase Decrease

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Various factor

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Distance-dependent factor

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Margin

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Experiment set-up

  • 100 Lazy workers
  • 100 Enthusiastic workers
  • Ideal production 10,000 bricks/minute
  • All start from 0 bricks/minute
  • Default increase factor is 10 bricks/minute
  • Cheap material 1$, expensive material 10$
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Reference data

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Constant factor

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Various factor

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Distance-dependent factor

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Results

Function used Cheap bricks cost ($) Expensive bricks cost ($) Overall cost ($) Factory reliability (%) constant 798601 800520 1599121 72 various 84390 89390 84 no function 435400 4354000 4789400 76 distance dependent 891502 936440 1827942 94

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Scenario

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Implementation

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Input data

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Results

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Energy usage

Algorithm Energy usage (J) No algorithm, all lamps 100% dim 86700 Dimming control, no algorithm 31428 L&EE Algorithm 16019

81,5 % energy savings!

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Questions?