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City Opt
Green Gamification
Prepared By
Manu Melwin Joy
Assistant Professor
SCMS School of Technology and Management
Kerala, India.
Phone – 9744551114
Mail – manu_melwinjoy@yahoo.com
Kindly restrict the use of slides for personal purpose.
Please seek permission to reproduce the same in public forms and presentations.
City Opt
• In collaboration with the
international CITYOPT project,
VTT Technical Research
Centre of Finland has
developed an energy
planning tool for experts and
an application for consumers.
City Opt
• The tools have been piloted in
Helsinki, Nice and Vienna,
with promising results. Local
energy costs were reduced by
15% and carbon dioxide
emissions by 30% using the
optimal planning feature of
the tool for experts.
City Opt
• Using the game-like tablet
application, almost 80% of
the households involved
managed to reduce their
electricity consumption
during peak times.
City Opt
• The CITYOPT Planning Tool,
which was developed to meet
the needs of energy experts
and investors, enables
optimisation of the energy
planning of large-scale urban
and regional systems.
City Opt
• The tool provides
alternative plans with cost
and functional evaluations,
enabling the minimisation
of energy costs and CO2
emissions, for example.
City Opt
• It also provides holistic
solutions instead of partial
optimisation. Over the long-
term, the benefits of urban
planning are also passed on
to the tax payer.
City Opt
• The tool has been piloted in
Helsinki and Vienna. Optimal
planning at the case locations
achieved reductions of around
15% in energy costs and 30% in
CO2 emissions. The planning tool
also markedly reduces the time
required for planning.
City Opt
• The aim of the CITYOPT
Operational Tool for
consumers is to reduce the
household load during peak-
time power consumption and
prevent problems with
electricity production in
advance.
City Opt
• The tablet application was
piloted in 140 households in
Nice during the project.
Consumer trials showed that
cuts in power consumption
can be achieved when end
users are sufficiently
motivated.
City Opt
• Almost 80% of households
reduced their electricity
consumption when the
need to do so arose.
City opt - Green Gamification - Manu Melwin Joy

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City opt - Green Gamification - Manu Melwin Joy

  • 2. Prepared By Manu Melwin Joy Assistant Professor SCMS School of Technology and Management Kerala, India. Phone – 9744551114 Mail – manu_melwinjoy@yahoo.com Kindly restrict the use of slides for personal purpose. Please seek permission to reproduce the same in public forms and presentations.
  • 3. City Opt • In collaboration with the international CITYOPT project, VTT Technical Research Centre of Finland has developed an energy planning tool for experts and an application for consumers.
  • 4.
  • 5. City Opt • The tools have been piloted in Helsinki, Nice and Vienna, with promising results. Local energy costs were reduced by 15% and carbon dioxide emissions by 30% using the optimal planning feature of the tool for experts.
  • 6.
  • 7. City Opt • Using the game-like tablet application, almost 80% of the households involved managed to reduce their electricity consumption during peak times.
  • 8. City Opt • The CITYOPT Planning Tool, which was developed to meet the needs of energy experts and investors, enables optimisation of the energy planning of large-scale urban and regional systems.
  • 9.
  • 10. City Opt • The tool provides alternative plans with cost and functional evaluations, enabling the minimisation of energy costs and CO2 emissions, for example.
  • 11. City Opt • It also provides holistic solutions instead of partial optimisation. Over the long- term, the benefits of urban planning are also passed on to the tax payer.
  • 12. City Opt • The tool has been piloted in Helsinki and Vienna. Optimal planning at the case locations achieved reductions of around 15% in energy costs and 30% in CO2 emissions. The planning tool also markedly reduces the time required for planning.
  • 13. City Opt • The aim of the CITYOPT Operational Tool for consumers is to reduce the household load during peak- time power consumption and prevent problems with electricity production in advance.
  • 14. City Opt • The tablet application was piloted in 140 households in Nice during the project. Consumer trials showed that cuts in power consumption can be achieved when end users are sufficiently motivated.
  • 15. City Opt • Almost 80% of households reduced their electricity consumption when the need to do so arose.