3. Christos Diou (CERTH/ITI) - Outline of the Platform’s Operation and Main Features

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3. Christos Diou (CERTH/ITI) - Outline of the Platform’s Operation and Main Features

  1. 1. Cassandra platform Christos Diou Kyriakos Chatzidimitriou Postdoctoral research associates CERTH/ITI A multivariate platform for assessing the impact of strategic decisions in electric power systems 1st CASSANDRA Workshop Coventry, 11 September, 2013
  2. 2. Outline • Library-based scenarios in the alpha platform version – Use pre-existing library components • Measurement-based scenarios – Model training to build models automatically • Response models – Consumer response to different incentives • Consumer Social Network analysis – Grouping of small-scale consumers into Consumer Social Networks • Development status and next steps
  3. 3. About the platform • Currently in alpha version, development is highly active – Some functionality has not been integrated yet • Open source platform, publicly available through GitHub – http://github.com/cassandra-project – Apache license 2.0
  4. 4. LIBRARY-BASED SCENARIOS Cassandra platform
  5. 5. Login screen
  6. 6. Main screen Main panel Libraries Projects and entities
  7. 7. List of projects
  8. 8. List of projects
  9. 9. User library
  10. 10. User library
  11. 11. Cassandra library
  12. 12. Cassandra library
  13. 13. Appliances in Cassandra library
  14. 14. Appliances in Cassandra library
  15. 15. Creating a new project
  16. 16. Creating a new project
  17. 17. Adding a new scenario to our project
  18. 18. Installations can be added by drag’n’drop from the user library
  19. 19. Persons, Activities, Appliances
  20. 20. Persons, Activities, Appliances
  21. 21. Activity models
  22. 22. Activity models (duration)
  23. 23. Activity models (start time)
  24. 24. Simulation parameters
  25. 25. Simulation parameters
  26. 26. Submit runs
  27. 27. Submit runs
  28. 28. Scenario 1: A mall • What if … – Roof-Top-Units (RTUs) are shut down 1 hour prior to mall closing time taking advantage of thermal inertia in the sales area? – Gradually start A/C units from 08:00-09:00? – Set points from 21 to 24 degrees Celsius? – Shut down all office A/Cs after 22:00 with manual override? – Set the minimum fresh air from 20% to 5%? – Change escalators from always on to escalators with motion sensors?
  29. 29. Baseline and test-case scenarios - Change a set point
  30. 30. Baseline and test-case scenarios - Change duration
  31. 31. Comparisons
  32. 32. SCENARIOS WITH MODEL TRAINING Cassandra platform
  33. 33. Training module
  34. 34. Import installation measurements
  35. 35. Import installation measurements
  36. 36. Next step: Disaggregation
  37. 37. Training consumer activity models
  38. 38. Training consumer activity models
  39. 39. Export the models to the platform libraries
  40. 40. Models are visible in the user library
  41. 41. CONSUMER RESPONSE Cassandra platform
  42. 42. Response models
  43. 43. Modify pricing scheme
  44. 44. Estimate consumer response
  45. 45. Modify pricing scheme
  46. 46. Models are posted to the platform
  47. 47. Models are posted to the platform
  48. 48. Example 1: Response from … to
  49. 49. Example 2: Response from … to Complete change of habits
  50. 50. After 100 Monte Carlo runs of baseline and response scenarios …
  51. 51. Comparison of runs
  52. 52. CONSUMER SOCIAL NETWORKS (CSN) Cassandra platform
  53. 53. CSNs • Groups of similar consumers – Multiple similarity criteria • CSNs have potential: – Increased market power of aggregated small-scale consumers – Coordination of consumption activities at group level – Targeted incentives at group level
  54. 54. CSN module • CSN module: A tool for identifying links and grouping of consumers in a meaningful way – Existing social network connections – Explicit attributes (e.g. working, non-working person, locality in the grid topology) – Implicit attributes (e.g. consumption similarity, peak similarity, behavioural similarity) • Early version implemented for experimentation • Next version: – More similarity criteria – Estimation of group response to incentives – GUI integration
  55. 55. The main graphical interface of the CSN module
  56. 56. The network can be created based on Installation Type, Person Type, Average, Peak, Similar, or Dissimilar Consumption, etc.
  57. 57. CSNetwork based on person type. Persons of the same type are linked.
  58. 58. A network based on similar consumption
  59. 59. Select a clustering algorithm
  60. 60. Adjust the clustering parameters
  61. 61. Clusters appear in different colors
  62. 62. The different consumer groups appear
  63. 63. In summary, with Cassandra you can • Simulate working scenarios/pilots • Benchmark different energy efficiency solutions/products in simulation before testing them in real-life • Create detailed models that describe consumer behaviour • Identify and evaluate optimal consumption schedules • Estimate consumer response to a range of incentives – Pricing schemes – Consumer awareness – Environmental impact • Identify meaningful consumer groups and benchmark the application of targeted incentives
  64. 64. So, what’s next? • Beta release is expected before the end of 2013 • Further development and integration of response and CSN modules • Integration of external modules with the platform – thermal controllers, lighting models • Evaluation of Cassandra in our three project pilot cases • Evaluation of Cassandra in a limited number of NoI pilots (external evaluation)
  65. 65. Thank you! Questions?

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