Crossover Energy (datagedreven diensten) - Bob Mantel (Gemeente Amsterdam)

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AMSTERDAM SMART CITY1

Amsterdam Energy Atlas

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=

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..?

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• New York / Hamburg /

Londen

• TU Delft • Amsterdam

+ =

how

whom

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etc

Why: get more precise

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• context1

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Amsterdam Energy Atlas

functions

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people

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ownership (housing)

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• Energy demand2

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electricity consumption

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gas consumption

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sustainable heating

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• Potential sources of renewal energy3

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sustainable electricity

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solar potential

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Heat and cold storage potential

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Geothermal potential

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Waste heat potential

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Supporting stakeholders decision making

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Resultaten: Balance city level

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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

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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

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Verbruikskaarten (gas)

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Verbruikskaarten (stadsverwarming)

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Bestaande duurzame infrastructuur en opwek

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Potentiekaarten (zon)

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Potentiekaarten (water)

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Potentiekaarten (water)

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Potentiekaarten (water)

Wko gesloten Wko open geothermie

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Resultaat: stakeholders kunnen samen rekenen

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Resultaten: energie balans van de stad

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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

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Resultaten: gebiedsanalyse zuidoost

Goals, theoretisch haalbaar:-warmte: alternatieven bronnen om doel te bereiken-elektrisch: optelsom van bronnen zijn nodig om doel te bereiken

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Resultaten: quickscan warmte business case

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Resultaten: ruimtelijke oriëntatie vehicle to grid

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Te combineren met afval, water, mobiliteit data

Domestic waste Industrial waste

Overlast binnen gebouwen Overlast openbare ruimte oplaadpunten

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Partijen die de atlas gebruiken

Powered by

Dat

a, w

aste

Domestic waste Industrial waste

Dat

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y

consumption potential: hot and cold storage

potential: drinking water potential: waste heat

sustainable production potential: wind and solar

Dat

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ainp

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Dat

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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

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

1. Analyze the current situation

2. Identify opportunities

3. Set scenarios

4. Define measures

5. Allocate measures

6. Determine impact

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