wiki.openmod-initiative.org - User contributions [en]

Open Energy Modelling Workshop - Aarhus 2019

2019-05-27T17:56:42Z

Derrick Oswald: /* Registration */

22-24 May 2019, [http://eng.au.dk/en/ Department of Engineering - Navitas], Aarhus University, Denmark.

This is the wiki page for the upcoming 9th Workshop of the Open Energy Modelling Initiative, a grass-roots organization of modellers from various research institutes, universities, and companies. The workshop will take place at '''Department of Engineering - Navitas, Aarhus University, Denmark,''' from '''22-24 May 2019'''.

The venue is at Inge Lehmanns Gade 10, Aarhus C, DK-8000 ([http://ingenioer.au.dk/en/student-guidance/find-your-campus/au-campus-navitas/ AU Navitas building]), a 15 minute walk from Aarhus main railway station and close to the city center. 

Do also sign up to the [https://forum.openmod-initiative.org/ forum] and [https://groups.google.com/forum/#!forum/openmod-initiative mailing list] where all things regarding open energy modelling are discussed.

Show all topics on the [https://forum.openmod-initiative.org/tags/aarhus-2019 openmod forum] with the tag '''aarhus-2019'''.

= '''About the workshop''' =

The Openmod Workshops provide a forum for modellers to come together and discuss how to further the use of open data and open software tools in the energy modelling community. Topics range from exchanges about specific types of data (e.g. sources for open data on building stocks or distribution networks) to advocacy and outreach.

Only a small part of the workshop consists of prepared presentations. For the rest of the workshop, participants work together in groups on do-a-thons addressing specific topics. The topics are chosen by the participants themselves, so please get actively involved by suggesting topics! To get the most out of the workshop, it is suggested to consider in advance what you would like to discuss.

Do-a-thons should have specific aims, which can be followed up after the workshop, e.g. improving the openmod wiki pages, lobbying a data-holder to change its licensing, improving educational tools, or outreach.

= '''Practical information''' =

'''Venue: '''Department of Engineering, Aarhus University, [http://ingenioer.au.dk/en/student-guidance/find-your-campus/au-campus-navitas/ Navitas building]

'''Getting there:''' The workshop location is Navitas building which is located at the seafront, at a short walk from Aarhus's main train station.

'''Map:''' [https://www.openstreetmap.org/#map=19/56.15902/10.21487 OpenStreetMap]

'''Accommodation:''' Participants who wish to stay within walking distance from the workshop can book [https://www.danhostel.dk/es/hostel/danhostel-aarhus-city Danhostel Aarhus City] or [https://www.cabinn.com/en/hotel/cabinn-aarhus-hotel CABINN Aarhus Hostel]. Some of the Airbnb choices are also super cheap. As long as you stay in the zipcode 8000, it is extremely easy to get to Navitas on foot. More information on hotels can be found on [https://www.visitaarhus.com/ln-int/aarhus/accommodation/hotels-and-inns VisitAarhus].

= '''Registration''' =

The registration is closed.

You can access the [https://openmod-aarhus-2019.github.io./ participants list].'' Note: if you use [https://www.eff.org/privacybadger Privacy Badger] you will need to disable it for that page to see the photos.''

= '''Program''' =

== Wednesday, May 22 ==

from 8:30            Reception and coffee (Navitas entrance)

09:00 - 09:10      Welcome and intro to day 1 (Marta Victoria et al., Navitas auditorium, 01.078), [https://drive.google.com/file/d/1sKE-LPolimCHPQCsnpoBiE9Ygjau7sQ9/view?usp=sharing presentation]

09:10 - 09:20      Intro to the OpenMod Initiative (Robbie Morrison, Navitas auditorium, 01.078)

09:20 - 10:10      Speed dating (speak with 10 random people for 4 minutes each) (Marta, Smail & Leon, Navitas auditorium,  

                              01.078)

10:10 - 10:25      Break

10:25 - 11:30      Keynote: "Decarbonisation of the networked European energy system. Open modelling challenges to boldly                                go where no one has gone before" [http://pure.au.dk/portal/en/persons/martin-greiner(259a1802-ad03-45c9-99ed-ce15399519d1).html Prof. Martin Greiner], Aarhus University (Navitas auditorium, 01.078)

11:30 - 12:00      [https://docs.google.com/presentation/d/1ADSqcjtfHC9leXN7jtlAO7_XBkS1tMmC9c2qP3Wd0hQ/edit?usp=sharing Intro to the do-a-thons (Hailiang Liu, Navitas auditorium, 01.078)]

12:00 - 13:00      Lunch (Canteen)

13:00 - 15:00      [https://docs.google.com/spreadsheets/d/1qVbOKew10-hJizkNk3DaNmgP1ZiRBjlfOFsEWTbODZE/edit#gid=0 Do-a-thons session 1 (rooms 4.096, 4.121, 4.124, 4.081)]

15:00 - 15:30      Coffee break

15:30 - 17:30      [https://docs.google.com/spreadsheets/d/1qVbOKew10-hJizkNk3DaNmgP1ZiRBjlfOFsEWTbODZE/edit#gid=0 Do-a-thons session 2 (rooms 4.096, 4.121, 4.124, 4.081)]

Dinner at [https://www.aarhusstreetfood.com/ Aarhus Street food] (They all take credit cards. We meet at Navitas front door at 18:00)

== Thursday, May 23 ==

7:50                      Meet at the tram station in front of  Navitas front door to take the tram to the visit (25 min tram + 15 min 

                             walking). The train leaves at 8:05.

                             Tram tickets must be bought through the [https://www.midttrafik.dk/english/tickets-and-prices/midttrafik-app/ Midttrafik app], so we suggest downloading the app in advance. 

                             The route: L2  Skolebakken -Lisbjerg Bygade, 3 zones

9:00 - 11:00         Visit to [https://bkvv.dk/profil/video-biomassefyret-kraftvarmevaerk-as/ BKVV biomass CHP power plant] that provides heat to Aarhus District Heating system

11:00 - 13:00       Go back to Navitas & Lunch (canteen)

13:00 - 15:00       [https://docs.google.com/spreadsheets/d/1qVbOKew10-hJizkNk3DaNmgP1ZiRBjlfOFsEWTbODZE/edit#gid=0 Do-a-thons session 3 (rooms 4.096, 4.121, 4.124, 4.081)]

15:00 - 15:30       Coffee break

15:30 - 17:00       Keynote:  [https://www.nrel.gov/research/clayton-barrows.html Clayton Barrows] (NREL) "Scalable Model and Dataset Development Informing Integrated

                               Energy Pathways at NREL"  (Navitas auditorium, 01.078)

18:30                     Common Dinner at [http://www.sctoluf.dk/ Sct.Oluf] (We meet at 18:15 at Navitas front door. Sct. Oluf is very close.)

== Friday, May 24 ==

 

9:15 - 10:00        [https://forum.openmod-initiative.org/t/call-for-lightning-talks-for-aarhus-2019-workshop/1363 Lightning talks] (Host: Hailiang, Navitas auditorium, 01.078)

10:00 - 10:30      openmod/NGO bridge update (Robbie Morrison and Felix Reitz, Navitas auditorium, 01.078)

10:30 - 12:00      Posters session (Smail, room 01.081)

12:00 - 13:00      Lunch (canteen)

13:00 - 15:00      [https://docs.google.com/spreadsheets/d/1qVbOKew10-hJizkNk3DaNmgP1ZiRBjlfOFsEWTbODZE/edit#gid=0 Do-a-thons session 4 (rooms 4.096, 4.121, 4.124, 4.081)]

15:00 - 15:30      Optional 1-minute do-a-thon result pitches and discussion (Navitas auditorium, 01.078)

15:30 - 16:30      [https://docs.google.com/forms/d/e/1FAIpQLSfpIpAH4cKYc7ld45QcZsE1SkjnzM6xXMJiYv9i7xKh6onupw/viewform?vc=0&c=0&w=1 Online feedback] and next workshop (Kun&Leon, Navitas auditorium, 01.078)

= '''Other things to see and do in Aarhus''' =

Aarhus was the [http://www.aarhus2017.dk/en/welcome-future/film/ European Capital of Culture in 2017] and has many interesting places to visit. Besides the general overview provided in the visitor page ([https://www.visitaarhus.com/ https://www.visitaarhus.com]) we recommend the followings locations close to where the workshop will be held:

*[https://en.aros.dk/ ARoS], Aarhus Museum of Modern Art 
*[http://godsbanen.dk/english/ Godsbanen], a center for cultural production in Aarhus
*[https://dokk1.dk/english Dokk1], public library and culture center
*[https://www.dengamleby.dk/en/den-gamle-by/ Den Gamble By] and the [https://www.dengamleby.dk/en/den-gamle-by/ Botanical Garden] 
*[https://www.moesgaardmuseum.dk/ Moesgaard] archeology and ethnography museum
*[https://goo.gl/maps/Qb7eH6PwrHU2 Tir Na Nog] an irish pub, popular among internationals
*[https://www.google.com/maps/place/Marselisborg+Strand/@56.1301768,10.2112013,16.5z/data=!4m5!3m4!1s0x0:0x93d8282628a6d3b2!8m2!3d56.1286163!4d10.2140008 Marselisborg Strand] a long beach very close to the city, beside a big forest with a [https://www.google.com/maps/place/Marselisborg+Deer+Park/@56.12041,10.2177093,17z/data=!3m1!4b1!4m5!3m4!1s0x464c408a413ba2cd:0x3fdccd8e44babed0!8m2!3d56.12041!4d10.219898 Deer Park] 
*[https://www.google.com/maps/place/Risskov+Strandpark/@56.1834438,10.2233797,14.75z/data=!4m5!3m4!1s0x464c3e54e13aa923:0xe28d884e4d84abb3!8m2!3d56.1842549!4d10.2377544 Risskov Strandpark] a beach in the north next to a smaller forest [https://www.google.com/maps/place/Riis+Forrest/@56.1761292,10.2175407,15z/data=!3m1!4b1!4m5!3m4!1s0x464c3fae5957756b:0x68199ce6ce3b73f1!8m2!3d56.1772462!4d10.2247867 Risskov] 

= Acknowledgements =

We want to thank the following institutions and projects that contribute to this workshop: 

*IDA (the Danish Society of Engineers)
*REInvest project
*Aarhus Kommune
*Aarhus University - Department of Engineering

Distribution network datasets

2019-05-27T17:46:36Z

Derrick Oswald:

== Network Models ==

=== REDS: REpository of Distribution Systems ===

[http://www.dejazzer.com/reds.html http://www.dejazzer.com/reds.html]

Lists 8 radial distribution system datasets, focus seems to be on US.

=== IEEE PES Distribution Test Feeders ===

[http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html]

 

=== ENEXIS Gas and Electricity Network Open Data ===

Power and gas grid data from an energy network operator in the Netherlands:

[https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data]

The asset files are published as shapefiles with attributes. The spatial reference system used seems to be the 'Amersfoort / RD New' (EPSG 28992) coordinate system, which is standard in the Netherlands.

 

A small subset of the electric network data is available for viewing online as a CIM ([https://en.wikipedia.org/wiki/Common_Information_Model_(electricity) Common Information Model]) file by navigating to [http://derrickoswald.github.io/CIMSpace/ CIMSpace] and clicking the '''Enexis''' item in the Preset dropdown of the Load dialog. Loading the 500MB file takes about 2 minutes. Instructions for CIMSpace usage are found on [https://github.com/derrickoswald/CIMSpace GitHub]. 

 

=== Atlantide - Archive of Distribution Grid Models ===

Grid Models gained from Italian Distribution Grids. Registration required.

[http://www.progettoatlantide.it/Atlantide/jsp/index.jsp http://www.progettoatlantide.it/Atlantide/jsp/index.jsp]

From the Website:

"[...] archive of models to be used as a reference for future research and development initiatives on MV and LV electrical distribution networks (passive and active). [...] : 

*Models of reference network configurations typical of the Italian territory;
*Models of generating units and loads;
*Models of components supported by a database containing their typical characteristics;
*Evolutionary scenarios of distribution systems in the next future."

 

=== Simbench ===

[https://simbench.de/ Simbench] has [http://141.51.193.167/simbench/gui/usecase/download/?Simbench_Code=1-complete_data-mixed-all-0-sw datasets] in CSV format that appear to be a complete model of an over 100,000 node medium and low voltage network with electrical parameters.

=== Pandapower ===

[http://www.pandapower.org Pandapower] has included various [https://pandapower.readthedocs.io/en/v2.0.1/networks.html sample networks] in the pandapower.networks python module.

=== Ding0 ===

[https://github.com/openego/ding0 Ding0/openEGO] will generate [https://dingo.readthedocs.io/en/dev/usage_details.html#examples synthetic networks]. There is a desire to expand this to cover an entire region.

== Time Series ==

=== Low Carbon London ===

[https://data.london.gov.uk/dataset/smartmeter-energy-use-data-in-london-households Detailed load data] is available for 100 of the set of 5,567 housholds of the Low Carbon London project. This data has been used in two pending papers ([https://doi.org/10.1016/j.apenergy.2018.08.004 https://doi.org/10.1016/j.apenergy.2018.08.004] & [https://doi.org/10.1016/j.enbuild.2018.12.003 https://doi.org/10.1016/j.enbuild.2018.12.003]) related to local electricity markets, such as [http://quartier-strom.ch/index.php/en/homepage/ Quartierstrom] and [https://cityxchange.eu/ CityXchange].

=== RAMP ===

Stocastic load profiles can be generated using [https://github.com/SESAM-Polimi/RAMP RAMP].

=== Sector Coupling - Load Shape Generator ===

The [https://github.com/Pyosch/Sectorcoupling-Loadshapegenerator Loadshapegenerator] adds load shapes of heat pumps, electric vehicles, photovoltaic and electric home storage to a base load.

=== Load Profile Generator ===

The [https://www.loadprofilegenerator.de/ LoadProfileGenerator] can generate load profiles based on appliances and activities.

Distribution network datasets

2019-05-27T17:43:18Z

Derrick Oswald: /* Sector Coupling - Load Shape Generator */

This page collects reference datasets of distribution networks in the city/suburb/countryside for different regions of the world. 

== Network Models ==

=== REDS: REpository of Distribution Systems ===

[http://www.dejazzer.com/reds.html http://www.dejazzer.com/reds.html]

Lists 8 radial distribution system datasets, focus seems to be on US.

=== IEEE PES Distribution Test Feeders ===

[http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html]

 

=== ENEXIS Gas and Electricity Network Open Data ===

Power and gas grid data from an energy network operator in the Netherlands:

[https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data]

The asset files are published as shapefiles with attributes. The spatial reference system used seems to be the 'Amersfoort / RD New' (EPSG 28992) coordinate system, which is standard in the Netherlands.

 

A small subset of the electric network data is available for viewing online as a CIM ([https://en.wikipedia.org/wiki/Common_Information_Model_(electricity) Common Information Model]) file by navigating to [http://derrickoswald.github.io/CIMSpace/ CIMSpace] and clicking the '''Enexis''' item in the Preset dropdown of the Load dialog. Loading the 500MB file takes about 2 minutes. Instructions for CIMSpace usage are found on [https://github.com/derrickoswald/CIMSpace GitHub]. 

 

=== Atlantide - Archive of Distribution Grid Models ===

Grid Models gained from Italian Distribution Grids. Registration required.

[http://www.progettoatlantide.it/Atlantide/jsp/index.jsp http://www.progettoatlantide.it/Atlantide/jsp/index.jsp]

From the Website:

"[...] archive of models to be used as a reference for future research and development initiatives on MV and LV electrical distribution networks (passive and active). [...] : 

*Models of reference network configurations typical of the Italian territory;
*Models of generating units and loads;
*Models of components supported by a database containing their typical characteristics;
*Evolutionary scenarios of distribution systems in the next future."

 

=== Simbench ===

[https://simbench.de/ Simbench] has [http://141.51.193.167/simbench/gui/usecase/download/?Simbench_Code=1-complete_data-mixed-all-0-sw datasets] in CSV format that appear to be a complete model of an over 100,000 node medium and low voltage network with electrical parameters.

=== Pandapower ===

[http://www.pandapower.org Pandapower] has included various [https://pandapower.readthedocs.io/en/v2.0.1/networks.html sample networks] in the pandapower.networks python module.

=== Ding0 ===

[https://github.com/openego/ding0 Ding0/openEGO] will generate [https://dingo.readthedocs.io/en/dev/usage_details.html#examples synthetic networks]. There is a desire to expand this to cover an entire region.

== Time Series ==

=== Low Carbon London ===

[https://data.london.gov.uk/dataset/smartmeter-energy-use-data-in-london-households Detailed load data] is available for 100 of the set of 5,567 housholds of the Low Carbon London project. This data has been used in two pending papers ([https://doi.org/10.1016/j.apenergy.2018.08.004 https://doi.org/10.1016/j.apenergy.2018.08.004] & [https://doi.org/10.1016/j.enbuild.2018.12.003 https://doi.org/10.1016/j.enbuild.2018.12.003]) related to local electricity markets, such as [http://quartier-strom.ch/index.php/en/homepage/ Quartierstrom] and [https://cityxchange.eu/ CityXchange].

=== RAMP ===

Stocastic load profiles can be generated using [https://github.com/SESAM-Polimi/RAMP RAMP].

=== Sector Coupling - Load Shape Generator ===

The [https://github.com/Pyosch/Sectorcoupling-Loadshapegenerator Loadshapegenerator] adds load shapes of heat pumps, electric vehicles, photovoltaic and electric home storage to a base load.

=== Load Profile Generator ===

The [https://www.loadprofilegenerator.de/ LoadProfileGenerator] can generate load profiles based on appliances and activities.

Distribution network datasets

2019-05-27T17:42:51Z

Derrick Oswald:

This page collects reference datasets of distribution networks in the city/suburb/countryside for different regions of the world. 

== Network Models ==

=== REDS: REpository of Distribution Systems ===

[http://www.dejazzer.com/reds.html http://www.dejazzer.com/reds.html]

Lists 8 radial distribution system datasets, focus seems to be on US.

=== IEEE PES Distribution Test Feeders ===

[http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html]

 

=== ENEXIS Gas and Electricity Network Open Data ===

Power and gas grid data from an energy network operator in the Netherlands:

[https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data]

The asset files are published as shapefiles with attributes. The spatial reference system used seems to be the 'Amersfoort / RD New' (EPSG 28992) coordinate system, which is standard in the Netherlands.

 

A small subset of the electric network data is available for viewing online as a CIM ([https://en.wikipedia.org/wiki/Common_Information_Model_(electricity) Common Information Model]) file by navigating to [http://derrickoswald.github.io/CIMSpace/ CIMSpace] and clicking the '''Enexis''' item in the Preset dropdown of the Load dialog. Loading the 500MB file takes about 2 minutes. Instructions for CIMSpace usage are found on [https://github.com/derrickoswald/CIMSpace GitHub]. 

 

=== Atlantide - Archive of Distribution Grid Models ===

Grid Models gained from Italian Distribution Grids. Registration required.

[http://www.progettoatlantide.it/Atlantide/jsp/index.jsp http://www.progettoatlantide.it/Atlantide/jsp/index.jsp]

From the Website:

"[...] archive of models to be used as a reference for future research and development initiatives on MV and LV electrical distribution networks (passive and active). [...] : 

*Models of reference network configurations typical of the Italian territory;
*Models of generating units and loads;
*Models of components supported by a database containing their typical characteristics;
*Evolutionary scenarios of distribution systems in the next future."

 

=== Simbench ===

[https://simbench.de/ Simbench] has [http://141.51.193.167/simbench/gui/usecase/download/?Simbench_Code=1-complete_data-mixed-all-0-sw datasets] in CSV format that appear to be a complete model of an over 100,000 node medium and low voltage network with electrical parameters.

=== Pandapower ===

[http://www.pandapower.org Pandapower] has included various [https://pandapower.readthedocs.io/en/v2.0.1/networks.html sample networks] in the pandapower.networks python module.

=== Ding0 ===

[https://github.com/openego/ding0 Ding0/openEGO] will generate [https://dingo.readthedocs.io/en/dev/usage_details.html#examples synthetic networks]. There is a desire to expand this to cover an entire region.

== Time Series ==

=== Low Carbon London ===

[https://data.london.gov.uk/dataset/smartmeter-energy-use-data-in-london-households Detailed load data] is available for 100 of the set of 5,567 housholds of the Low Carbon London project. This data has been used in two pending papers ([https://doi.org/10.1016/j.apenergy.2018.08.004 https://doi.org/10.1016/j.apenergy.2018.08.004] & [https://doi.org/10.1016/j.enbuild.2018.12.003 https://doi.org/10.1016/j.enbuild.2018.12.003]) related to local electricity markets, such as [http://quartier-strom.ch/index.php/en/homepage/ Quartierstrom] and [https://cityxchange.eu/ CityXchange].

=== RAMP ===

Stocastic load profiles can be generated using [https://github.com/SESAM-Polimi/RAMP RAMP].

== Sector Coupling - Load Shape Generator ==

The [https://github.com/Pyosch/Sectorcoupling-Loadshapegenerator Loadshapegenerator] adds load shapes of heat pumps, electric vehicles, photovoltaic and electric home storage to a base load.

=== Load Profile Generator ===

The [https://www.loadprofilegenerator.de/ LoadProfileGenerator] can generate load profiles based on appliances and activities.

Distribution network datasets

2019-05-27T17:28:29Z

Derrick Oswald:

This page collects reference datasets of distribution networks in the city/suburb/countryside for different regions of the world. 

== REDS: REpository of Distribution Systems ==

[http://www.dejazzer.com/reds.html http://www.dejazzer.com/reds.html]

Lists 8 radial distribution system datasets, focus seems to be on US.

== IEEE PES Distribution Test Feeders ==

[http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html]

 

== ENEXIS Gas and Electricity Network Open Data ==

Power and gas grid data from an energy network operator in the Netherlands:

[https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data]

The asset files are published as shapefiles with attributes. The spatial reference system used seems to be the 'Amersfoort / RD New' (EPSG 28992) coordinate system, which is standard in the Netherlands.

 

A small subset of the electric network data is available for viewing online as a CIM ([https://en.wikipedia.org/wiki/Common_Information_Model_(electricity) Common Information Model]) file by navigating to [http://derrickoswald.github.io/CIMSpace/ CIMSpace] and clicking the '''Enexis''' item in the Preset dropdown of the Load dialog. Loading the 500MB file takes about 2 minutes. Instructions for CIMSpace usage are found on [https://github.com/derrickoswald/CIMSpace GitHub]. 

 

== Atlantide - Archive of Distribution Grid Models ==

Grid Models gained from Italian Distribution Grids. Registration required.

[http://www.progettoatlantide.it/Atlantide/jsp/index.jsp http://www.progettoatlantide.it/Atlantide/jsp/index.jsp]

From the Website:

"[...] archive of models to be used as a reference for future research and development initiatives on MV and LV electrical distribution networks (passive and active). [...] : 

*Models of reference network configurations typical of the Italian territory;
*Models of generating units and loads;
*Models of components supported by a database containing their typical characteristics;
*Evolutionary scenarios of distribution systems in the next future."

 

== Simbench ==

[https://simbench.de/ Simbench] has [http://141.51.193.167/simbench/gui/usecase/download/?Simbench_Code=1-complete_data-mixed-all-0-sw datasets] in CSV format that appear to be a complete model of an over 100,000 node medium and low voltage network with electrical parameters.

== Pandapower ==

[http://www.pandapower.org Pandapower] has included various [https://pandapower.readthedocs.io/en/v2.0.1/networks.html sample networks] in the pandapower.networks python module.

== Ding0 ==

[https://github.com/openego/ding0 Ding0/openEGO] will generate [https://dingo.readthedocs.io/en/dev/usage_details.html#examples synthetic networks]. There is a desire to expand this to cover an entire region.

Distribution network datasets

2019-03-09T18:58:29Z

Derrick Oswald: /* ENEXIS Gas and Electricity Network Open Data */

This page collects reference datasets of distribution networks in the city/suburb/countryside for different regions of the world. 

== REDS: REpository of Distribution Systems ==

[http://www.dejazzer.com/reds.html http://www.dejazzer.com/reds.html]

Lists 8 radial distribution system datasets, focus seems to be on US.

== IEEE PES Distribution Test Feeders ==

[http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html]

== ENEXIS Gas and Electricity Network Open Data ==

Power and gas grid data from an energy network operator in the Netherlands:

[https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data https://www.enexis.nl/over-ons/wat-bieden-we/andere-diensten/open-data]

The asset files are published as shapefiles with attributes. The spatial reference system used seems to be the 'Amersfoort / RD New' (EPSG 28992) coordinate system, which is standard in the Netherlands.

 

A small subset of the electric network data is available for viewing online as a CIM ([https://en.wikipedia.org/wiki/Common_Information_Model_(electricity) Common Information Model]) file by navigating to [http://derrickoswald.github.io/CIMSpace/ CIMSpace] and clicking the '''Enexis''' item in the Preset dropdown of the Load dialog. Loading the 500MB file takes about 2 minutes. Instructions for CIMSpace usage are found on [https://github.com/derrickoswald/CIMSpace GitHub]. 

== Atlantide - Archive of Distribution Grid Models ==

Grid Models gained from Italian Distribution Grids. Registration required.

[http://www.progettoatlantide.it/Atlantide/jsp/index.jsp http://www.progettoatlantide.it/Atlantide/jsp/index.jsp]

From the Website:

"[...] archive of models to be used as a reference for future research and development initiatives on MV and LV electrical distribution networks (passive and active). [...] : 

*Models of reference network configurations typical of the Italian territory;
*Models of generating units and loads;
*Models of components supported by a database containing their typical characteristics;
*Evolutionary scenarios of distribution systems in the next future."

Distribution network datasets

2019-02-17T21:26:22Z

Derrick Oswald: /* ENEXIS Gas and Electricity Network Open Data */