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Chapter 3 introduction to the smart city concept, AUST 2015

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This lecture presents the concept of the smart city with particular focus on the use of the digital technology and collective governance. It also presents the data collection, analysis and use in the management of the City and the methodology to be followed for the implementation of the Smart City concept.

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Chapter 3 introduction to the smart city concept, AUST 2015

  1. 1. Smart  City  Solu-on  and  Implementa-on    AUST  Summer  Course   Chapter  3  :  Introduc-on  to   Smart  City   Professor  Isam  SHAHROUR     Isam.shahrour@univ-­‐lille1.fr  
  2. 2. Q1  :  The  Smart  City  Concept?   Q2:  Data  management  technology?   Q3  :  Smart  City  implementa:on  ?   3  Ques-ons  
  3. 3. City     Greenhouse  emission   Climate  Change   Popula:on  Expansion   (Explosion)   Energy  &  water   consump:on   Traffic     conges:on   Air,  water       &  soil  pollu:on   Financial  &  economic   Crises   Health  &  educa:on     Housing   Poverty  Slums   Gouvernance     par:cipa:on   Society  aging   Increase  demand  for  life   quality  &  comfort     The  City  Challenges  
  4. 4. Infrastructure   Housing   Urbaniza-on   Management     (governance)     Sustainable  City     Env-­‐  responsible       Social  -­‐responsible         Futur  genera-on   Huge  Financial  and   economic  crises   Digital  technology    revolu-on   (Smart  City  Concept)   Statement  :   We  have  to  transform  our  city    
  5. 5.   Improve  the  buildings  and  infrastructure  quality     Large  investment,  takes  6me..   In  Europe  new  buildings  represent  about  1%  of  the   buildings  stock  annually   Two  strategies   Improve  the  infrastructure  management  (Digital   technology)   Low  investment,  rapid  implementa6on    
  6. 6. Les  réseaux  sociaux  Digital  Revolu-on   •  Communica:on   •  Social  network     •  Mobile   •  Internet  of  things  
  7. 7. Smart  sensors  technology  
  8. 8. Smart  Technology   Smart  governance   SMART  CITY    
  9. 9. Health,  Educa:on   Art,  Culture   BIG  DATA   digital,  images,   movies,  audios   More  data    
  10. 10. Smart  city  technology  allows   •  Real-­‐:me  monitoring  (Urban  systems  as  well  as   other  urban  related  data)   •  Rapid  ac:on  in  the  case  of  abnormal  event  (leakage,   contamina:on,  overload,..)   •  Op:mal  management  of  resources   •  Stakeholders  implica:on  and  par:cipa:on   •  Development  of  predic:ve  models  
  11. 11. Smart  City  history  
  12. 12. Smart  Grid  historical  perspec-ve      
  13. 13. Earliest  Smart  Grid  Project  :   Teleogestore  GRID,  Italy  in  2005,  by  ENEL   It  offers  saving  of  500  millions  €  for  a  cost  of  2.1  billion  €    
  14. 14. Smart  City  in  EUROPE  
  15. 15. Ci:es  are  becoming  more  and  more  a  focal  point   for  our  economies  and  society,  because  of  :   •  On-­‐going  urbaniza:on   •  increasingly  knowledge-­‐intensive  economies   •   their  growing  share  of  resource  consump:on   and  emissions.     Why  ?  
  16. 16. To  meet  public  policy  objec:ves  under  these   circumstances,    Ci:es  need  to  change  and  develop,    but  in  :mes  of  -ght  budgets  this  change  needs  to   be  achieved  in  a  smart  way:     our  ci-es  need  to  become  'smart  ci-es'.     Why  ?  
  17. 17. EU’s  20/20/20  energy  and  climate  targets   In  2020  (compared  to  1990)  :   •  20%  reduc:on  in  CO2  emissions   •   20%  coming  from  renewables     •   20%  increase  in  energy  efficiency.         Triple  bo]om  line  gain  for  Europe:   •   A  significant  improvement  of  ci:zens'   quality  of  life,     •  An  increased  compe::veness  of  Europe's   industry     •  Strong  contribu:on  to  sustainability  and  the   EU’s  20/20/20  energy  and  climate  targets  
  18. 18. Triple  bo]om  line  gain  for  Europe:   This  will  be  achieved  through  :   wide-­‐reaching  roll  out  of  integrated,  scalable,   sustainable  Smart  City  solu9ons  –    specifically  in  areas  where     •  energy  produc:on,  distribu:on  and  use;   •   mobility  and  transport;     •  informa:on  and  communica:on  technologies    are  in-mately  linked.    
  19. 19. 2014  
  20. 20. Stockholm  :  Traffic  Conges-on   City  traffic  decreased  by  18%   CO2  emission  decreased  by  14-­‐18  %  
  21. 21. Smart  City  in  United  States     Smart  Grid  –  NEMA  Report  (2011)     NEMA  :  Associa6on  of  electrical  and  medical   imaging  equipment  manufacturers  (US)  
  22. 22. Smart  Grid  –  NEMA  Report  (2011)  
  23. 23. Smart  Grid  –  NEMA  Report  (2011)      
  24. 24. Novembre  2013  
  25. 25. July  18,  2014     Smart  City  in  INDIA  
  26. 26. Smart  City  JAPAN    
  27. 27. Rio  de  Janeiro  Smart  City   IBM,  January  2011       Rio  Opera-ons  Center  (control  room)   •  Ini:al  focus  was  floods,  soil  sliding  and  emergency     •  The  scope  considerably  extended  to:   transporta:on,  water,  weather  and  energy  
  28. 28. Smart  City  in  Africa   2014  
  29. 29. Smart  City  Technology  movies   A1  Smarter  Ci-es_  Introducing  'The  Smarter  City’     A3  Cisco  Smart  Grid  -­‐  HD  Version   A5    Smart  Grid  Denmark  -­‐  the  intelligent  power  grid  of  the  future   A6  Smart  ci-es  in  the  new  urban  world    Peter  Nijkamp  at  TEDxUdG  
  30. 30. Q1  :  The  Smart  City  Concept?   Q2:  Data  management  technology?   Q3  :  Smart  City  implementa:on  ?   3  Ques-ons  
  31. 31. Health,  Educa:on   Art,  Culture   BIG  DATA   digital,  images,   movies,  audios   Data    
  32. 32. The  amount  of  data  being  generated   worldwide  increases  at  a  rate  of  40%-­‐60%   per  year     •  In  2007  the  amount  of  new  data  exceeded  the   amount  of  digital  storage  space  being  created   •   By  2011  it  more  than  doubled  it.  
  33. 33. Set  of  technologies  and  prac-ces  to:     •  Collect  and  store  large  amounts  of  data     •  Analyze  large  and  varied  data  very  quickly.   Big  data  :    
  34. 34. Big  data  :     •  Enormous  amounts  of  both  structured  and   unstructured  data,     •     Difficult  to  manage  with  conven:onal  storage   solu:ons  and  treatment.     •     Come  from  various  sources  and  (mostly)  produced  in   real  :me.  
  35. 35. Big  Data  -­‐  the  3V  :     Variety,  Velocity  and  Volume.  
  36. 36. Open  data  :     Open  data  :    data  that  can  be  freely  used,   shared  and  built-­‐on  by  anyone,  anywhere,  for   any  purpose.    
  37. 37. Requirements  for  open  data   Legal  openness:  you  must  be  allowed  to  get  the  data,   to  build  on  it  and  to  share  it.       Technical  openness:  there  should  be  no  technical   barriers  to  use  this  data  (machine  readable)  
  38. 38. Data  Analysis  of  Big  data     •  Understanding  complex  phenomena   (Research,..)   •  Elabora:on  of  socio-­‐economic    strategy   (health,  educa:on,  transport,  …)     •  Process  op:miza:on     •  Understand  customer  expecta:ons,     •  Establish  business  strategies    
  39. 39. Q1  :  The  Smart  City  Concept?   Q2:  Data  management  technology?   Q3  :  Smart  City  implementa-on  ?   3  Ques-ons  
  40. 40. Implementa-on  of  the  smart  city  ?   City     Campus  
  41. 41. Step  1:  Establish  the  need  and  strategy     •  Understand  the  need  and  the  challenges  of  the   city  (urban  system)  and  how  the  SC  concept   could  respond  to  these  challenges.   •  Based  on  the  diagnos:c  phase,  establish  a   mul:-­‐phase  strategy  with  milestones   •  Establish  a  government  model  for  the  smart  city   The  Smart  City  implementa-on  journey  
  42. 42. Step  2  :  Produc-on  and  collec-on  of  data   •  Data  concerning  the  physical  urban   infrastructures  (Geographic  Informa:on  System   GIS)   •  Smart  Monitoring  of  urban  infrastructures   (smart  sensors  and  actuators)   •  Data  concerning  the  urban  environment  as  well   as  urban  usages   The  Smart  City  implementa-on  journey  
  43. 43. Step  3  :  Communica-on   Build  real  :me  bi-­‐direc:onal  communica:on   with  urban  system  as  well  as  with  the  city   stakeholders  :   •  Combining  wired  and  contactless  technology,   •  Heterogeneous  sensors  and  protocols,     •  Reliability,  Cyber  security,     •  Energy  saving     The  Smart  City  implementa-on  journey  
  44. 44. Step  4  :  Data  analysis   •  Technology  and  somware  to  store  and  analyse   collected  data  (Big  Data)  (real-­‐:me)   •  Develop  predic:on  model  based  on  the  historical   and  geo-­‐localized  data     The  Smart  City  implementa-on  journey  
  45. 45. Step  5  :  Protocols     Establish  protocols  for     •  Op:mal  management,     •  Crisis  management,     •  Implica:on  of  end-­‐users   •  New  services  (business)   The  Smart  City  implementa-on  journey  
  46. 46. Strategy  for  policy-­‐makers     •  Use  the  data,  analy:cs,…  to  establish  urban   development  and  investment  strategy   •  Innovate  in  the  socio-­‐economic  model  (taxes,   private-­‐public  partnerships,  social  aid,…-­‐   The  Smart  City  implementa-on  journey  
  47. 47. • Improvement   • Extension   • New  services   The  Smart  City  implementa-on  journey   Itera-ve  procedure:   Implementa:on   Tes:ng   Stakeholders  feed-­‐back    and  demand   Usage    
  48. 48. Conclusion     The  concept  of  smart  city  offers  a  great  opportunity  to  improve  the  management   and  development  of  our  ci:es  :    -­‐  Use  of  the  digital  revolu:on     -­‐  Knowledge  based  technology  (data  analysis,  data  crossing,  learning..)   -­‐  Combines  technical,  economic  and  social  issues   -­‐  Mul:-­‐scale  approach     -­‐  Real  :me  control,  increase  in  the  opera:ng  security   -­‐  Historical,  real-­‐:me  and  mul:-­‐scale  data  :  op:mal  management   -­‐  Share  and  implica:on  of  all  stakeholders       New  concept  :  We  yet  have  to  learn  from  real  projects,  field  experimenta:on  
  49. 49. Conclusion     The  concept  of  smart  city  offers  a  great  opportunity  to   improve  the  management  and  development  of  our  ci:es  :   •  Use  of  the  digital  revolu:on     •  Knowledge  based  technology  (data  analysis,  data   crossing,  learning..)   •  Combines  technical,  economic  and  social  issues   •  Mul:-­‐scale  approach    
  50. 50. Conclusion     •  Increase  in  the  security:  Real  :me  control   •  Op:mal  management  :  use  of  historical,  real-­‐:me  and   mul:-­‐scale  data     •  Collec:ve  intelligence:    implica:on  of  all  stakeholders   New  concept  :  We  yet  have  to  learn  from  real  projects,   field  experimenta:on   New  concept  :     We  have  to  learn  from  real  projects,  field   experimenta-on,  promote  the  concept    
  51. 51. Conclusion     New  concept,  we  have  to:   -­‐  learn  from  real  projects,  field  experimenta:on   -­‐  Promote  the  concept   -­‐  Innovate  in  the  partnership  and  economic  model   (pricing,  private/public)    
  52. 52. Movies:   •  A1  Smart  Ci:es    How  do  we  Build  the  Ci:es  of  Tomorrow    Hugh  Green   at  TEDxEmory   •  A2  Smarter  Ci:es_  Introducing  'The  Smarter  City’   •  A3  Smart  Grids  Explained   •  A4  Smart  Grid  Denmark  -­‐  the  intelligent  power  grid  of  the  future.   •  A5  How  Big  is  Big  Data   •  A6  Smart  ci:es  in  the  new  urban  world    Peter  Nijkamp  at  TEDxUdG.  
  53. 53. Thank  you  

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