Smart Cities Urban Energy: Demand vs Sustainability ......Cities 12 Countries In total, Cities with...

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® Smart Cities Urban Energy: Demand vs Sustainability Outcomes of the ESPRESSO project Bart De Lathouwer President, OGC 3 April 2019 Copyright © 2019 Open Geospatial Consortium

Transcript of Smart Cities Urban Energy: Demand vs Sustainability ......Cities 12 Countries In total, Cities with...

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Smart Cities Urban Energy: Demand vs Sustainability

Outcomes of the ESPRESSO project

Bart De Lathouwer

President, OGC

3 April 2019

Copyright © 2019 Open Geospatial Consortium

OGC ®

A Tale of 2 cities

• Turtu

• Rotterdam

Copyright © 2019 Open Geospatial Consortium

OGC ®

FROM HRUSTSOVKA TO SMARTOVKA

OGC ®

ESPRESSO Tartu

25 buildings with:

• Energy consumption and current energy class

• Heating demand live queried from an standardized service

• Solar radiation values

• Point cloud showing the solar radiation values for each point on the

building surface

• Presentation of the buildings in different styles and appearances

acc. to solar radiation, energy classification or energy class

OGC ®

USE CASE 1: ENERGY

For the SmartEnCity pilot area, the following is now avaliable as a result of the pilot:

• ENERGY CONSUMPTION AND CURRENT ENERGY CLASS

• HEATING DEMAND, live queried from an OGC - 3D Portrayal Service

• GENERAL SOLAR RADIATION VALUES (monthly + annual)

• POINT CLOUD - solar radiation values for each point on the building surface

• VISUALISATION ON MAP – easily understandable presentation of buildings styled to show the

above (OGC CityGML)

OGC ®

Conclusions from Tartu

• Various stakeholders can better understand the energy potential, both at the individual building

level – my house vs. the neighbor's house – as well as at city district level

• Facilitates mobilizing support and building momentum for Smart Energy Management among the

residents & general public via better visualization of unused potential / positive changes to take

place in the context of SmartEnCity

• Encourages better decision making, future development and pick-up by other buildings as well

as supports city planning (city government)

• Serves as basis for potential future third party engagement (e.g. tech startups) to build

new products/services based on different datasets

• Standards allowed for transition from legacy data to multiple new systems

• No tooling/software dependency!

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OGC ®

VALUE & IMPACT ANALYSIS: ECONOMIC IMPACT

PWC study in D6.3 Report on Economic and Business Impacts, p 34

http://espresso-project.eu

OGC ®

VALUE & IMPACT ANALYSIS:

SOCIAL/ENVIRONMENTAL IMPACT

PWC study in D6.2 Report on Societal Impacts, p 25

http://espresso-project.eu

OGC ®

Rotterdam

Copyright © 2019 Open Geospatial Consortium

OGC ®

Use case: Waste Paper Containers

– Sensors registring the fullness of the containers for different

purposes:

• optimizing the collection routes

• Registring defects

• Registring demolition

OGC ®

Use case: Ground Water Level

– Approximately 2000 wells in the city

manually measured.

– More accurate, frequent, flexibel

measurements, less manual labour.

OGC ®

Use case: Parking lot availability

– Small pilot area

– Sensorinformation already available as Open Data

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= connections

based on (open) standards:

PPI’s (pivotal points of

interoperability

Basic design Digital City

Data services hub Digital City

Information and communication layer

(applications, dashboards, services and data marketplace)

Others Companies Visitors Citizens

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3D visualisations

External data sources RT & non-RT

(K.I.’s, companies, citizens, others)

Data hub municipality

(datafabriek, DAP)

Applications

Data services

hub/

generic data

collection

& disclosure

Data sources

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Information Systems Architecture The MIM approach

IOT/CPS

Access Services and

Domain Services

Data Lake

Data Zone

Device Zone

Other

Appl Zone

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MIM and PPI

IOT/CPS

Access Services and

Domain Services

Data Lakes Data Zones

Device Zone

Appl Zone

Other

Pivotal Points of Interoperability (PPI)

PPI

LoRa, IP, 6LowPan

IP, REST, JSON, …

HTTP, MQTT

Bluetooth, ZigBee

CSV, … OneM2M

SQL, SPARQL

LoD, ERD

JS, Python

CityGML

SensorThingsAPI, MQTT, WMS

Oracle Database

Client Apps

NoSQL

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ESPRESSO Reference architecture (DIN Standard 91357)

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Demand-Side Engagement

4/22/2019 EIP Urban Platform Governance

A Q1,‘15 City Survey revealed some useful insights

Q: What will it take to help speed cities in deploying solutions that help digitize their services, and connect across them to extract the benefits of modern ICTs?

29 Cities

12

Countries

In total, Cities with 28million citizens

Cities appear to be “Sitting on the fence” 75% of cities have not as yet acted on an Urban Platform

Feedback Suggests 1. Poor knowledge of the landscape & lack of confidence

and capacity within cities 2. Cities struggle to get the silos to work together, thus

prohibiting effective action 3. Cities suffer budget / funding constraints

The principal focus for urban platforms is on ‘place’ related services

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3 Key Findings

OGC ®

Conclusion

• Tartu and Rotterdam have a better understanding of the problem domain

• Standards helped in using the data

– Pick the best tool

– Vendor independence

• Standards don’t make themselves

– Join the process now ! http://www.opengeospatial.org

– Upcoming TC meeting in Leuven, see http://ogcmeet.org

• Thank you!

– bdelathouwer [at] opengeospatial.org

Copyright © 2019 Open Geospatial Consortium