smart campus and -parking

Joint ATV - Sustain conference at DTU November 30th 2016 from 9 to 18

Smart Campus and Smart Transport

Innovation and teaching for sustainability

By Ole Schultz ass. professor Department of Information Technology

DTU Diplom

Lautrupvang 15, 2750 Ballerup, DK

[email protected]

Ole Schultz - [email protected],Henriette Understrup Pinholt [email protected], Henrik Bechmann [email protected]

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DTU Diplom, Technical University of Denmark

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Campus Ballerup

Ole Schultz - [email protected], Henriette Understrup Pinholt [email protected], Henrik Bechmann [email protected]

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source

mailto:[email protected]

https://www.google.dk/search?q=picture+Campus+Ballerup&rlz=1C1NHXL_enDK709DK709&tbm=isch&imgil=Ty9jDhQWGXUgQM%3A%3BAaie8kYxzJYU_M%3Bhttp%253A%252F%252Fwww.dtu.dk%252FUddannelse%252FStudieliv%252FDTU-Ballerup-Campus&source=iu&pf=m&fir=Ty9jDhQWGXUgQM%3A%2CAaie8kYxzJYU_M%2C_&usg=__IpC7g3paMd7CrZcERN9BrH2Vsfk%3D&biw=1680&bih=871&ved=0ahUKEwj38eHQi87QAhUkDMAKHXHiCt8QyjcIKA&ei=OYU9WLfxHaSYgAbxxKv4DQ#imgrc=Kw5Xr89G_llMvM%3A




agenda • Innovation with ICT4 – IT and communication technology for sustainability

– Data sources and platform

– WP4-Projects in The Danish Industry Foundation “Sustainable Production”

– Examples on outcomes of students projects so far

– Innovations projects perspectives on the future research and projects work


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Data-sources


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• Indoor climate measuring • Electrical Energy • Water-flow • Municipality heat –CTS • Pavilion Smart City lab - 2017





Smart Transport - efficient driving • WP 4 project in Sustainable Production

– Data from the lamps along the route

– Data from a light cross

– Can-bus data from vehicles

– Traffic data from Bing or Google

– Other sources?

1. Project about finding data-sources by Hermes traffic Intelligence for DTU Diplom.

• 2. A Demonstrator are going to be developed in 2017

• Partners in the traffic project in WP4

• Hermes Traffic intelligence, Multiflash and ATKi A/S

5 Ole Schultz - [email protected], Henriette Understrup Pinholt [email protected], Henrik Bechmann [email protected]





ICT in 40 lamps • Parking area and smart alle Campus Ballerup

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Purpose: Finding patterns in users driving to and from a parking lot, leaving going along the Allé

13 lamps 22 lamps 5 lamps






Campus data – open data platform


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• WP4 – open data platform • Data sources:

• Indoor climate measured in 7 workshops and in 3 lecture rooms

• Weather data • Data from the CTS – system

• A new Pavilion Smart city lab producing data by energy measurements from all devices.

Big data analysis projects! For small and medium enterprises and student projects For researchers and professors





Learning about sustainability by project-work • Building prototypes and learn


• Examples on Ole’s courses and project proposals


https://sites.google.com/site/smartiot4s/









Electrical energy consumption • Simi central measurement – 6 sectors

• Measure at machines in the workshop

energy finger print from machines/devices

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Source: Energy Fingerprint poster, Morten Egholm, DTU Diplom at ICT4S.org 2014 Ole Schultz - [email protected], Henriette Understrup Pinholt [email protected], Henrik Bechmann [email protected]





Optimal route • Projects in the course 62570 Intelligent cars and mobile applications

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Source:Jonathan Oest Wassberg Martine Bengtsson Mark Lee Malmose Morten Ensted Morten Hatting Voltelen Thim Kristensen 2015




Mobile application interface to the vehicle data





Local water leakage and consumption measurement on the wifi-net


A Final bachelor thesis





Students learn for the climate by projects in sustainable wireless electronics and It • Elective Course 62562 now substituted by 62583 and 62584


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Conclusion and further work • Big Data is available at Campus

• Campus Big Data can these be used for analyzing, predicting as well as learning platform for students and the small and medium scale enterprises

– How can energy data be combined with indoor climate data and water consumption for getting less consumption and less Co2 emission

– How can these data bring awareness to the occupants?

• Efficient traffic with no ques. Which data is appropriate for drivers to drive the car efficient from A to B consuming less energy and producing less Co2

• Partners from industry and the universities are welcomed

• Would you like to be part of a student project or collaborate through innovation/research with DTU Diplom and innovation support– email [email protected], [email protected], [email protected]


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smart campus and -parking

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