2. AMSTERDAM SMART CITY2
=
what
• Bringing data together and visualization
• Bringing new insight
• Start of collective assumptions for collaboration
• Decision support tool for professionals in the energy/planning sector
• Could it be more..?
22. AMSTERDAM SMART CITY23
Resultaten: verschil in aanpak per gebied
In Zuidoost:
-great opportunities for the area to heat
‘itself’ by using local waste heat
In Nieuw-West:
-great opportunities for housing
to be self supporting in electricity
23. AMSTERDAM SMART CITY24
results
• District planning: focus on heating and consultancy use data to develop
business case and collaboration with datacenter industry as heat producers
• Building sector searches for best changes for retrofit using the atlas
• Support of development of development strategy for a neighborhood: atlas
introduced sustainability and has let to an agreement between fibre optic com,
waste com, water com, solar com, citizens representatives and municipality to
modernize homes
• National funding sceme for innovative car batteries
->Not happened yet: city scale application of atlas…2015
33. AMSTERDAM SMART CITY34
Resultaten: verschil in aanpak per gebied
In Zuidoost:
-great opportunities for the area to heat
‘itself’ by using local waste heat
In Nieuw-West:
-great opportunities for housing
to be self supporting in electricity
34. AMSTERDAM SMART CITY35
Resultaten: gebiedsanalyse zuidoost
Goals, theoretisch haalbaar:
-warmte: alternatieven bronnen om doel te bereiken
-elektrisch: optelsom van bronnen zijn nodig om doel te bereiken
40. Data,energy
consumption potential: hot and cold storage
potential: drinking water potential: waste heat
sustainable production potential: wind and solar
43. Informed decision making: Quantitative simulation
The six steps in the web-based decision support tool
Analyze the city
context
Analyze the city
context Identify opportunitiesIdentify opportunities
Select and compare city data
parameters
•Buildings, infrastructures, urban
design, mobility
•Socio-economic data, demographics
•Renewable sources of energy
Select and compare city data
parameters
•Buildings, infrastructures, urban
design, mobility
•Socio-economic data, demographics
•Renewable sources of energy
Run simulation and
determine impact
Run simulation and
determine impact Analyze resultsAnalyze resultsDefine measuresDefine measures Allocate measuresAllocate measures
Analyze results of combined measures
on KPIs
•Carbon reduction (versus costs)
•Energy efficiency, renewables
•Social, economic and environmental
factors
Analyze results of combined measures
on KPIs
•Carbon reduction (versus costs)
•Energy efficiency, renewables
•Social, economic and environmental
factors
Insert city and district plans in the
measure editor
•Insert measure from city and
stakeholders in the tool
•Allocate measure to a specific location
(city, district, building)
•Make different combinations of
measures
Insert city and district plans in the
measure editor
•Insert measure from city and
stakeholders in the tool
•Allocate measure to a specific location
(city, district, building)
•Make different combinations of
measures
Measure editorLayered data comparison City Intelligence
The decision support helps in identifying opportunities, defining and allocating measures and determining
potential impacts in order to make informed decisions
44. Informed decision making: Quantitative simulation
The six steps in the web-based decision support tool
1. Analyze the current
situation
1. Analyze the current
situation 2. Identify opportunities2. Identify opportunities
5. Allocate measures5. Allocate measures 6. Determine impact6. Determine impact
3. Set scenarios3. Set scenarios
4. Define measures4. Define measures
The decision support helps in identifying opportunities, defining and allocating measures and determining
potential impacts in order to make informed decisions