{"contributors":[],"created":"2026-09-07T20:22","description":"Energy companies, public administrations and other organisations make data available for the development of creative ideas and prototypes.","homepage":"https://energydatahackdays.ch/","keywords":[["dribdat","hackathon","co-creation"]],"licenses":[{"name":"ODC-PDDL-1.0","path":"http://opendatacommons.org/licenses/pddl/","title":"Open Data Commons Public Domain Dedication & License 1.0"}],"name":"event-7","resources":[{"data":[{"aftersubmit":"","boilerplate":"### 🚀 Let's launch your idea!\r\n\r\nWrite a **Title** and short **Summary**, select a **Template** if one is available, or use the **Readme** link to fetch an open source repository on [GitHub](https://github.com), [GitLab](https://gitlab.com) or [Bitbucket](https://bitbucket.org); an online document at [Etherpad](http://etherpad.org), [Instructables](http://instructables.com), [HackMD or CodiMD](https://hackmd.io), [Google Docs](http://docs.google.com) (Published to Web) or [DokuWiki](http://make.opendata.ch/wiki/project:home).\r\n\r\n_Need more help?_ Get in touch with the organising team, or raise [an issue](https://github.com/dribdat/dribdat/issues).\r\n","certificate_path":"https://hello.dribdat.cc/cert/opendatach/energy/2022/{username}.pdf","community_embed":"
All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody.
\r\n\r\n

\"CreativeThe contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.

\r\n","community_url":"https://twitter.com/hashtag/energyDataHackdays","custom_css":"","description":"The fifth edition of the Energy Data Hackdays will take place on the 16th & 17th of September 2022 in Brugg, Switzerland. Energy companies, public administrations and other organisations related to the energy industry will make data available for the development of creative ideas and initial prototypes. The focus will be on industry-relevant topics like, among others, the energy grid as an interface to the smart communities, the role of the transmission grid in the decentralisation of the production sector, security of supply with a decentralised production, how to ensure data security or how to link network planning and urban development. The hackdays are as usual free and open to any person interested in helping to shape the future of energy.","ends_at":"2022-09-17T16:00","gallery_url":"https://images2.imgbox.com/a9/98/FOotU1Iu_o.jpg","has_finished":true,"has_started":false,"hashtags":"","hostname":"Hightech Zentrum Aargau","id":7,"instruction":"
\ud83d\udd0b Offene Daten
\r\n\r\nHier findest du die diversen offenen Energiedatens\u00e4tze, die wir f\u00fcr die Hackdays befreit, gesammelt und aufbereitet haben. Weitere Vorschl\u00e4ge und W\u00fcnsche k\u00f6nnen mit diesem Formular oder auf GitHub eingereicht werden.
\r\nNeu, vom BFE zusammengetragen und nach Wertsch\u00f6pfungskette geordnet, diese Sammlung von offene CH bezogene Datens\u00e4tze
\r\nAuf Datenportale wie opendata.swiss gibt es weitere offene Datens\u00e4tze zu entdecken. Bitte achten auf die Einhaltung der Nutzungsbedingungen und die korrekte Angabe allen Datenquellen.\r\n\r\n\r\n\r\n
\r\n\r\n
\ud83d\udd0b Open Energy Data
\r\n\r\nHere are diverse open energy datasets that we have researched and prepared for the Hackdays. Additional suggestions and requests can be submitted here or via GitHub.
\r\nNew, compiled by the SFOE and sorted along the value chain, this collection of open CH related datasets
\r\nOn data portals like opendata.swiss you can discover more open datasets such as these. Make sure to follow the Terms of Use and correctly attribute your open data sources.\r\n\r\n\r\n","location":"Brugg","location_lat":0.0,"location_lon":0.0,"logo_url":"https://opendata.ch/wordpress/files/2022/07/Logo_EnergyDataHackdays-2022_gross-1024x402.png","name":"Energy Data Hackdays 2022","starts_at":"2022-09-16T09:00","summary":"Energy companies, public administrations and other organisations make data available for the development of creative ideas and prototypes.","webpage_url":"https://energydatahackdays.ch/"}],"name":"events"},{"data":[{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C042PH62Z26","created_at":"2022-08-03T18:35","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"
\r\n

\r\n\r\n## **Background**\r\n\r\n\r\n **e-swissolar**

\r\n We exist to work at the intersection between transformative technologies and renewable energies. We are passionate to work on the creation of innovative financing instruments, decentralised energy networks or energy marketplaces. We aim to create sustainable value across the whole energy value chain for our stakeholders and for the so...","hashtag":"#16 ","id":96,"ident":null,"image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/UJI813UZ1SPN4JVJT3CMVARF.jpg","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"
\r\n

\r\n\r\n## **Background**\r\n\r\n\r\n **e-swissolar**

\r\n We exist to work at the intersection between transformative technologies and renewable energies. We are passionate to work on the creation of innovative financing instruments, decentralised energy networks or energy marketplaces. We aim to create sustainable value across the whole energy value chain for our stakeholders and for the society.\r\n\r\n**DAO**

\r\nA Decentralized Autonomous Organization (DAO) is an organization whose rules are in computer code. DAOs are performed according to computer-coded rules (smart contracts), for example on a blockchain, and are subject to the joint work of their employees and members of the organization [[1]](https://libra.unine.ch/export/DL/40516.pdf).\r\nOn the 27. & 28 M\u00e4rz 2022 during the [Open Legal Lab] (https://challenges.openlegallab.ch/project/47) we created a legal structure for a DAO that will facilitate direct investments in PV-Systems in Switzerland that is Blockchain compatible and legally compliant.\r\n\r\n**Energy Communities**

\r\ne-swissolar AG believes that energy cooperatives are highly relevant for the energy transition. An energy cooperative is a non-profit organisation whose purpose is to locally produce and deliver renewable energy to its stakeholder or members. Members jointly own and democratically control the cooperative. Cooperatives around the world share the same seven principles, which are based on values such as democracy, equality and solidarity.\r\n\r\n Watch the video about the 7 cooperative principles:

\r\n
\r\n\r\n **ReFi**

\r\n In 2021 in collaboration with the HSLU Institute of Innovation and Technology Management an Innocheque for e-swissolar\u2019s innovative idea ReFi -Regenerative Finance for Smart Energy Communities (54557.1 INNO-EE) has been conducted. ReFi is an investment platform built on top of a blockchain network that has the potential to efficiently and cost-effectively mobilise and redirect funds to small-scale projects owned by private persons or energy communities not eligible for traditional funding sources. Fractional ownership-enabled tokenisation and decentalised finance has the potential to unlock investment at various levels from retail investors to institutional investors with less risk due to a liquidity lending pool. This peer-to-contract (many-to-many) borrowing/lending scheme with blockchain yields a faster financing process with no underwriting and due diligence costs. ReFi offers transparency, collaboration and fair governance for domestic energy communities, public and private investors, and DSOs as a first step; with endless possibilities that can be built on top later. In 2021 e-swissolar developed a [prototype] (https://refi-near-hackathon.vercel.app/) deployed on the AURORA blockchain testnet.

\r\n**Distributed Autonomous Cooperative (DisCoo)**

\r\nWe are currently working on the development of the core architecture of the smart-contracts system and of the smart-contracts trying to build up a minimum prototype (backend) of a legally compliant decentralised autonomous cooperative.

More information will follow soon...

\r\n**Pilot**

\r\nMore information will follow soon...

\r\n##**Problem**\r\n**Financing**

\r\nA big barrier slowing the development of both new and existing energy communities is the lack of accessible, targeted and consistent funding and financing. [REScoop](https://www.rescoop.eu/toolbox/energy-communities-a-brief-explainer-for-managing-authorities-in-central-and-eastern-europe) identified following barriers:

\r\n- Limited access to bank financing and financing tools

\r\n- Lack of financing tools for initiating energy communities

\r\n**Manage Stakeholders & Resources**

\r\nEnergy cooperatives are relaying on the active participation of citizens and the involvement of multiple stakeholders (local authorities, local\r\neconomic players, other cooperatives, etc.). Some citizens become members of the cooperatives, i.e. owners and users of the cooperative. Following challenges have been identified in this regard [REScoop](https://www.rescoop.eu/uploads/rescoop/downloads/REScoop-Guide-for-Stakeholder-Management.pdf):

\r\n- Organisation of members

\r\n- Information and transperancy

\r\n\r\n##**Solution**\r\n**Financing**

\r\n- Create specific financing tools for energy communities

\r\n\r\n**Manage Stakeholders & Resources**

\r\n- Innovative Tools for Governance

\r\n\r\n##**Challenge**\r\n\r\nIn the context of the identified problems and proposed solutions, what are the design criteria and patterns (elements) that constitute the SolarDAO. We will use the [DAO Canvas](https://daocanvas.webflow.io/) developed by Felipe Duarte. The canvas is to guide groups through the process of making the most vital decisions they face in the process of imagining their DAO. We created a [miro-board](https://miro.com/app/board/uXjVOBjKN9w=/) where we will collectively work on the DAO canvas. Further data about energy cooperatives will be provided during the event.

\r\n\r\n
**DAO Development Canvas**

\r\n\r\n
\"drawing\"

\r\n
[Click on picture to enlarge] (https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/QZQNRLDBNPQMPE6ULPS7PQ38.jpg )

\r\n\r\n
\r\n
**Final Presentation**

\r\n

\r\n\r\n

\r\n\r\n##**References**\r\n[1] [Decentralized Autonomous Organizations (DAOs) as subjects of law - The recognition of DAOs in the Swiss legal order] (https://libra.unine.ch/export/DL/40516.pdf)

\r\n\r\n[2] [Schmid, Benjamin; Seidl, Irmi (2022). Energy Cooperatives in Switzerland: Survey Results // Energiegenossenschaften in der Schweiz: Befragungsergebnisse. EnviDat.] (https://doi.org/10.16904/envidat.349)

\r\n\r\n##**Call for Action**\r\n We are looking for energy & tech-enthusiasts, -students, energy cooperatives, municipalities or utilities who are interested to explore with us new ways of using transformative technologies for realising the energy strategy 2050. You will help us to design right solutions for energy cooperatives.

\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vQeWYkto_2P5OBNkhrBFVdjVdv0zMgmi0BCHrkYTh2d7egbkIh9cKFPeq1bUfwQTg/embed?start=false)\r\n\r\n
Vasileios Panagiotidis|[e-swissolar AG] (http://www.e-swissolar.ch/index.php/en/) , Poststrasse 9, 6300 Zug
\r\n\r\n","maintainer":"Vasileios","name":"SolarDAO - The Digital Energy Cooperative","phase":"Project","progress":5,"score":101,"source_url":"","stats":{"commits":0,"during":8,"people":4,"sizepitch":7447,"sizetotal":7543,"total":8,"updates":4},"summary":"Accelerate the energy transition by making investment in renewables more flexible and inclusive. ","team":"Vasileios, jonathan_lehner, aurelien, ChangLi, mou_lin","team_count":4,"updated_at":"2022-11-30T16:48","url":"https://new-hack.energy.opendata.ch/project/96","webpage_url":""},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C042LEBDAAH","created_at":"2022-08-08T13:42","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"Final pitch slides\r\n\r\n## **The problem**\r\n\r\nCurrently, results from energy scenarios are presented in research papers or individual webpages. This makes it close to impossible for policy makers to get the full picture and understand the features of the net-zero Switzer...","hashtag":"#22_07-alternative-pathways-to-net-zero","id":98,"ident":null,"image_url":"https://www.net-zero-hub.com/wp-content/uploads/2021/10/MicrosoftTeams-image-3.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Final pitch slides\r\n\r\n## **The problem**\r\n\r\nCurrently, results from energy scenarios are presented in research papers or individual webpages. This makes it close to impossible for policy makers to get the full picture and understand the features of the net-zero Switzerland. How can policy-makers take decisions based on model-driven energy scenarios?\r\n\r\n[Challenge 07-08 slides](https://docs.google.com/presentation/d/e/2PACX-1vQlkEjQisnlc6hZ1Bqviw1fREMnNKHVlzsB8r08euUEiabGriz47aJpav1Ullqmcw/embed?start=false)\r\n\r\n**Current state**\r\n\r\n* many scenarios\r\n* very detailed information\r\n* not easy to extract conclusions\r\n\r\n
\r\n## **The process**\r\n\r\n**Step-by-step**\r\n\r\n\r\n\r\n\r\n\r\n\r\n
  • get a project name
  • get data ready
  • brainstorm solutions
  • divide the work
  • calculate indicators
  • visualise the data
  • develop the tool / dashboard
\r\n \r\n
\r\n\r\n
\r\n## **The goal**\r\n\r\n\r\n \r\n \r\n \r\n \r\n\r\n\r\n\r\n
Develop a decision-making tool to explore and compare multiple energy scenarios. The tool should visualise for each scenario key indicators and energy sources/carriers. \r\n
\r\nTarget audience\r\n
  • policy-makers
\r\n\r\nKey indicators\r\n
    \r\n
  • CO2 emissions
    • \r\n
  • Foreign vs domestic
    • \r\n
  • Total costs
\r\n\r\n		\r\n\r\n
\r\n\r\n
\r\n## **The Energy Explorer**\r\n\r\n\r\n**The overview of different scenarios to compare**
\r\n\r\n

\r\n\r\n**Click on a scenario to get the detailed Energy-flow:**
\r\n\r\n\r\n
\r\n## **Source code**\r\nTool is open source and accessible through [GitHub](https://github.com/EnergyExplorer/energy_explorer)\r\n\r\n\r\n\r\n
\r\n## **The team**\r\n\r\n\r\n\r\n","maintainer":"","name":"Alternative pathways to net zero","phase":"Share","progress":50,"score":100,"source_url":"","stats":{"commits":0,"during":75,"people":3,"sizepitch":4136,"sizetotal":4169,"total":75,"updates":72},"summary":"Visualization of energy scenarios","team":"lea_ruefenacht, adriana_marcucci, sbis","team_count":3,"updated_at":"2022-10-19T13:40","url":"https://new-hack.energy.opendata.ch/project/98","webpage_url":"https://energy-explorer.netlify.app/"},{"autotext":"# Energy Hackdays 2022 - Regional Energy Information\r\n\r\nCode and project files of challenge 15 about Regional Energy Information.\r\n\r\nInformation about the challenge and documentation: https://hack.opendata.ch/project/848","autotext_url":"https://github.com/geoimpact/energy_hackdays_2022_region_energy_infos","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C042LHPQ84V","created_at":"2022-08-15T15:01","download_url":"https://github.com/geoimpact/energy_hackdays_2022_region_energy_infos/releases","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"National energy policy goals are known and monitored, but how is the progress of the Swiss energy transition on regional level?\r\n \r\nWorking on our challenges will contributing to the current, highly relevant discussion on security of energy supply in Switzerland. You will support us to develop cutting-edge energy policy design.\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vQVnvmAmWK7jg--Wvpt9qqO1rX4uYAYmfaQASkaNZRKO2N8e-C_ZjuejfX_Ziw9uQ/embed?start=false)\r\n \r\nStep 1: Web...","hashtag":"#15 ","id":97,"ident":null,"image_url":"https://www.uvek.admin.ch/uvek/en/home/energy/energy-strategy-2050/_jcr_content/par/image/image.imagespooler.jpg/1522061861737/Energiestrategie%202050.jpg","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"National energy policy goals are known and monitored, but how is the progress of the Swiss energy transition on regional level?\r\n \r\nWorking on our challenges will contributing to the current, highly relevant discussion on security of energy supply in Switzerland. You will support us to develop cutting-edge energy policy design.\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vQVnvmAmWK7jg--Wvpt9qqO1rX4uYAYmfaQASkaNZRKO2N8e-C_ZjuejfX_Ziw9uQ/embed?start=false)\r\n \r\nStep 1: Web scraping energy policy goals\r\n\r\nFind and gather information about energy policy goals and activities of municipalities.\r\nIdentify ambitious and less ambitious municipalities\r\nOptional: Cluster municipalities that follow same/close goals and benchmark\r\n \r\nStep 2: regionalize renewable energy production\r\n\r\nHow much production in Swiss municipalities?\r\nData wrangling and fusion\r\n\r\n\ud83e\uddd1\ud83c\udffd\u200d\ud83c\udfeb GeoImpact/BfE Digital Office\r\n\r\n---\r\n\r\n# Project Team\r\n\r\nWho has which skills and is in which team - policy (P), data (D), scraping (S)\r\n\r\n![Project Team](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/JWE5NZEJLU6CNH79KPZW8J28/2022-09-16 Energy Data Hackdays Project Team.jpg)\r\n\r\n* [Emilie Boillat](https://www.linkedin.com/in/emilie-boillat/)\r\n* [Guiseppe Caponetto](https://www.linkedin.com/in/ggcaponetto/)\r\n* [Peter Janes](https://www.linkedin.com/in/peterjanes/) (\u00abPiet\u00bb)\r\n* [Baptiste Jordan](https://www.linkedin.com/in/baptiste-jordan-63536433/)\r\n* [Manuel Meyer](https://www.linkedin.com/in/manuelmeyer1/)\r\n* [Lukas Oberholzer](https://www.linkedin.com/in/lukas-oberholzer-44a848215/)\r\n* [Matthias Pauli](https://www.linkedin.com/in/matthias-pauli-2212061a1/)\r\n* [Peter Robineau](https://www.linkedin.com/in/peter-robineau-geoimpact/)\r\n* [Jan-Philipp Sasse](https://www.linkedin.com/in/jan-philipp-sasse-3a6287104/)\r\n* [Alexander Thommen](https://www.linkedin.com/in/alexander-thommen/)\r\n* [Lucas Tochtermann](https://www.linkedin.com/in/lucas-tochtermann/)\r\n* [Thilo Weber](https://www.linkedin.com/in/thilo-weber-937911193/)\r\n\r\n![Challenge Team](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/9OA788YGXYHIJYZQVNIO5C8B/2022-09-16 Energy Data Hackdays Team md.jpg)\r\n\r\n# Team 1 - Policy and Data\r\n\r\nWhich energy policy keywords and categories are relevant?\r\n\r\n## Step 1 - Brainstorming Keywords\r\n\r\n![Relevant Keywords](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/XDSYWGKE9S9N66C3U8RWIYPU/2022-09-16 Energy Data Hackdays Mindmap.jpg)\r\n\r\n## Step 2 - Structuring Keywords\r\n\r\nClustering brainstorming results mind map and converting to a structured table\r\n\r\n![Structured Keywords Table](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/9KJJ8POR58OL2613UX6XYHW9/2022-09-16 Energy Data Hackdays Keywords.png)\r\n\r\n# Team 2 - Web Scraping\r\n\r\nFinding energy policy information on Swiss municipality websites.\r\n\r\n##\u00a0Step 1 - Manual Samples\r\n\r\nManually retrieving text data from few sample municipalities\r\n\r\n![Community Text](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/KUPAD64O2DOAO0C2OK4P57YU/2022-09-16 Energy Data Hackdays Community Text.png)\r\n\r\n## Step 2 - Building a Scraper\r\n\r\nAs some research revealed, there is no service or implementation which could be used out of the box, so it was decided to go for a simple prototype implementation:\r\n\r\nSemi automatic information gathering:\r\n\r\n* Loop over 64 municipalities as test set\r\n* For every municipality initiate a google search with municipality name and keywords \u00abEnergie Umwelt\u00bb\r\n* Take top 3 google results\r\n* Pick sentences where keywords from team 1 appear\r\n* Run sentiment analysis over retrieved sentences\r\n\r\n![Screen Scraper](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/B20JDP3PAZROP8I8T8NO757E/2022-09-16 Energy Data Hackdays Scraper md.png)\r\n\r\nScraper result set\r\n\r\n![Scraper Result Set](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/QYCIGBLQG1UDSXRKBYDZV58X/2022-09-16 Energy Data Hackdays Results Table.png)\r\n\r\nScraper result set - sentences and sentiment analysis detail\r\n\r\n![Scraper Results Sentences](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/B92EYSHNC78HMXT2VPJ9RESZ/2022-09-17 Energy Data Hackdays Results Sentences.png)\r\n\r\n# Reconciliation and Validation\r\n\r\nBringing the pieces together, checking if it makes sense...\r\n\r\n## Results Visualization\r\n\r\nVisualize results on map ([interactive map](https://map.geo.admin.ch/?bgLayer=ch.swisstopo.pixelkarte-farbe&layers=KML||https://geodesy.geo.admin.ch/reframe/download/thermal_network_6529980204508911061.kml&lang=en))\r\n\r\n![Result Visualisation on Map](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/4ES9VE9LI5TAJQEDEKEZWCZ8/2022-09-17 Energy Data Hackdays Results Map md.png)\r\n\r\nShowing municipalities by keywords on map (interactive)\r\n\r\n* [Energieberatung](https://www.google.com/maps/d/edit?mid=1Bgd4v0k25W9gOvPC7k2YVdRn84Hpfjc&usp=sharing)\r\n* [Subventionen](https://www.google.com/maps/d/edit?mid=1SPWZx5xeG2VXmR251Ohu5KqzcOvyXHM&usp=sharing)\r\n* [Technologie](https://www.google.com/maps/d/edit?mid=1j0x8-0VfheQQTTw4swvo1Lg2l0yaHT0&usp=sharing)\r\n\r\n![Keywords on Map](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/T42K7EUENIP02V32TF9XN4TU/2022-09-17 Energy Data Hackdays Map Keyword md.png)\r\n\r\n## Sample Municipality Aadorf\r\n\r\n### Validating Sentences\r\n\r\nSentences analysis\r\n\r\n![Aadorf sentences analysis](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/JLU91WG3JAJ6H5BDJYWMP4LN/2022-09-17 Energy Data Hackdays Results Sentences clean md.png)\r\n\r\n### Map Visualization\r\n\r\nAnalyzing details ([interactive map](https://map.geo.admin.ch/?bgLayer=ch.swisstopo.pixelkarte-farbe&lang=en&topic=ech&layers=ch.bfe.energiestaedte,KML||https://geodesy.geo.admin.ch/reframe/download/Karte_Wind_Solar_Dichte_kW_pro_Kopf_1317694243704318200.kml,ch.bfe.energiestaedte-2000watt-areale,ch.bfe.thermische-netze&E=2711304.03&N=1261899.01&zoom=5.751190104551835&layers_opacity=0.6,1,1,1))\r\n\r\n* Thermal network - green\r\n* High solar capacity (kW/cap) - red\r\n* Energy city - blue\r\n\r\n![Details Aadorf](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/3CXITAYXXEXRKEBMAJIA1DX6/2022-09-17 Energy Data Hackdays Results Validagtion.png)\r\n\r\n# Final Pitch\r\n\r\nBy Jan-Philipp Sasse (with assistance of Thilo Weber)\r\n\r\n![Final Pitch](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/374/AU6BRKTEFCULDGTH9FZM8WU0/2022-09-17 Energy Data Hackdays Pitching md.jpg)\r\n\r\n# Challenge Data and Code\r\n\r\nSee links below for Github repository (click on \u00abSource\u00bb icon).\r\n","maintainer":"","name":"Regional Energy Information in High Resolution","phase":"Share","progress":50,"score":100,"source_url":"https://github.com/geoimpact/energy_hackdays_2022_region_energy_infos","stats":{"commits":0,"during":43,"people":3,"sizepitch":6803,"sizetotal":7102,"total":43,"updates":40},"summary":"Collecting, analyzing and visualizing energy policy data from Swiss communities","team":"lucastochtermann, lukas_oberholzer","team_count":3,"updated_at":"2022-09-19T15:30","url":"https://new-hack.energy.opendata.ch/project/97","webpage_url":""},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C043D2RFZUY","created_at":"2022-07-19T09:00","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"# Demo: [heatsg.energy.opendata.ch](http://heatsg.energy.opendata.ch)\r\n\r\n## Challenge\r\n\r\nThe department \u201cEnvironment and Energy\u201d of the city of St.Gallen is tracking and modeling the energy consumption in buildings for 20 years. The existing model is an \"handmade\" Microsoft Access-based model. Now the department wants to improve the heat demand model using AI methods.\r\n\r\n[Challenge presentation](https://docs.google.com/presentation/d/e/2PACX-1vQUd_sz6SPWU12ccnt1Gn5HT7AT-DY-fJDeuwGgbYsT3_-G7_5xCF...","hashtag":"#02 ","id":99,"ident":null,"image_url":"https://images.unsplash.com/photo-1451187580459-43490279c0fa?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1472&q=80","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"# Demo: [heatsg.energy.opendata.ch](http://heatsg.energy.opendata.ch)\r\n\r\n## Challenge\r\n\r\nThe department \u201cEnvironment and Energy\u201d of the city of St.Gallen is tracking and modeling the energy consumption in buildings for 20 years. The existing model is an \"handmade\" Microsoft Access-based model. Now the department wants to improve the heat demand model using AI methods.\r\n\r\n[Challenge presentation](https://docs.google.com/presentation/d/e/2PACX-1vQUd_sz6SPWU12ccnt1Gn5HT7AT-DY-fJDeuwGgbYsT3_-G7_5xCFTkJzl-E4Ojdw/embed?start=false&loop=false&delayms=3000)\r\n\r\nParticipants should bring knowledge or interest in one or several of these areas: AI, classification methodologies, data analysis, energy modeling.\r\n\r\nAvailable Data:\r\n\r\n![Available Data](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/8QSBZJ98TEPWVHPG4QU80SDU.png)","maintainer":"","name":"Energy (Heat Demand) modelling in Sankt Gallen with AI methods","phase":"Publish","progress":40,"score":63,"source_url":"","stats":{"commits":0,"during":0,"people":0,"sizepitch":855,"sizetotal":953,"total":0,"updates":0},"summary":"Heat demand modelling and prediction for the buildings of the city of Sankt Gallen with AI methods","team":"","team_count":0,"updated_at":"2022-09-19T15:33","url":"https://new-hack.energy.opendata.ch/project/99","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vTF3A3VHD2p3GEuTTjUOtPiMa2_Xa8lwEanIp8WwLCM5buPI65LdESlGdz-o15ImgfSIqsDHBmjT7v7/embed?start=false&loop=false&slide=id.p14"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C042PBXEB1Q","created_at":"2022-08-02T14:31","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"In densely populated Switzerland, high-voltage overhead lines are in many cases located in the vicinity of existing buildings. To protect the population from non-ionizing radiation, we want to classify all buildings near power lines using public available landscape models and register of buildings. Linking this data with LiDAR data helps us to discover any non-conforming constructions and to identify buildings which should be specially protected from non-ionizing radiation.\r\n\r\n[Challenge slides]...","hashtag":"#03 ","id":101,"ident":null,"image_url":"https://www.geographyrealm.com/wp-content/uploads/2022/03/lidar-oblique-view-washington-dc-usgs.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"In densely populated Switzerland, high-voltage overhead lines are in many cases located in the vicinity of existing buildings. To protect the population from non-ionizing radiation, we want to classify all buildings near power lines using public available landscape models and register of buildings. Linking this data with LiDAR data helps us to discover any non-conforming constructions and to identify buildings which should be specially protected from non-ionizing radiation.\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vRS7o__JGqxkLUiZ1DKokbdiuODDDg_4Zn1D8YoWu-Zu6xUgrjE2fekobUlA5rYjA/embed?start=false&loop=false)\r\n\r\n\ud83e\uddd1\ud83c\udffc\u200d\ud83c\udfeb Axpo Grid AG Tobias Schmocker","maintainer":"","name":"Enriching Point Clouds (LiDAR) with Meta Data","phase":"Publish","progress":40,"score":56,"source_url":"","stats":{"commits":0,"during":0,"people":0,"sizepitch":682,"sizetotal":808,"total":0,"updates":0},"summary":"In densely populated Switzerland, high-voltage overhead lines are in many cases located in the vicinity of existing buildings.","team":"","team_count":0,"updated_at":"2022-09-19T15:32","url":"https://new-hack.energy.opendata.ch/project/101","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vTF3A3VHD2p3GEuTTjUOtPiMa2_Xa8lwEanIp8WwLCM5buPI65LdESlGdz-o15ImgfSIqsDHBmjT7v7/embed?start=false&loop=false&slide=id.p15"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C04290S0D9V","created_at":"2022-09-01T17:53","download_url":"https://drive.google.com/drive/folders/1GE3eoQdT7eifyWew6AbHyoDYcA7In-mM","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"Challenge Presentation\r\n\r\nIn last year's [CII -challenge](https://hack.opendata.ch/project/783), we have demonstrated how 4 Swiss DSO smart-meter (SM) deliver their energy data through their local Customer Information Interface (CII, like M-BUS oder DSMR) by using specific IoT-Adapters that will publish the data towards a common interoperability layer, th...","hashtag":"#17","id":100,"ident":null,"image_url":"https://www.haus.de/sites/default/files/styles/discover_4x3/public/2021-01/smart-home-systeme-aufmacher-istock-1172877363.jpg?h=c3bf4dd4&itok=_rsI0AEy","is_challenge":false,"is_webembed":true,"logo_color":"#008080","logo_icon":"","longtext":"Challenge Presentation\r\n\r\nIn last year's [CII -challenge](https://hack.opendata.ch/project/783), we have demonstrated how 4 Swiss DSO smart-meter (SM) deliver their energy data through their local Customer Information Interface (CII, like M-BUS oder DSMR) by using specific IoT-Adapters that will publish the data towards a common interoperability layer, the MQTT-broker.\r\n\r\nThis year, we shall extend the range of SM to include further SM like Ensor, Kamstrup, Sagemcom and explore others. We also intend to deploy some new SM-powered IoT-Adapters to allow DSO-customers easy and reasonably inexpensive local access to their energy data. And we shall report on the issues encountered with MBUS-HDLC-DLMS-COSEM, DSMR and other types of CII.\r\n\r\nThe second part of the challenge shall investigate and show how the many EMS or smart-home systems (SHS like Loxone, KNX, Homeassistant, openHAB, ioBroker, and more) may obtain the energy-data by subscribing to the MQTT-broker.\r\n\r\nWe also intend to explore how to integrate the hourly next-day price forecast from ENTSO-E over MQTT. EMS, SHS or even the IoT-Adapters may display this information or take sensible load-shifting decisions to flatten their power use.\r\n\r\nBecause of much higher energy prices, PV system operatores may lose their previous economic incentive to use as much energy as possible from their own production for their local loads. Instead, local loads may be shifted to times of relativly lower energy prices which also nicely indicate less expected load.\r\n\r\n\ud83e\uddd1\ud83c\udffc\u200d\ud83c\udfeb Gantrisch Energie AG and Partner","maintainer":"","name":"Smart-Meter CII Interoperability with Smart-Home Systems","phase":"Training","progress":20,"score":56,"source_url":"","stats":{"commits":0,"during":9,"people":0,"sizepitch":1705,"sizetotal":1828,"total":9,"updates":9},"summary":"Connect ten common smart meters to a data broker, establish a common information schema and develop apps and visualizations","team":"","team_count":0,"updated_at":"2022-09-19T15:30","url":"https://new-hack.energy.opendata.ch/project/100","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vTF3A3VHD2p3GEuTTjUOtPiMa2_Xa8lwEanIp8WwLCM5buPI65LdESlGdz-o15ImgfSIqsDHBmjT7v7/embed?start=false&loop=false&slide=id.p25"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C042PEXUZA6","created_at":"2022-07-19T09:08","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"Imagine the next generation of building modelling tool experiences\r\n\r\n

Aim:

\r\nTo develop new concept for how a user could interact with our heat demand estimation API.\r\n\r\n

Idea:

\r\nWe have good models of heat demands in buildings, but there are many possible ways we can bring this to users. We want to imagine a user and use case and develop an interface that meets quickly their specific needs.\r\n\r\n

Big picture:

\r\nHeating is the biggest consumer of energy in Swiss homes and is ...","hashtag":"#10 ","id":102,"ident":null,"image_url":"https://images.unsplash.com/photo-1599028274511-e02a767949a3?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1471&q=80","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Imagine the next generation of building modelling tool experiences\r\n\r\n

Aim:

\r\nTo develop new concept for how a user could interact with our heat demand estimation API.\r\n\r\n

Idea:

\r\nWe have good models of heat demands in buildings, but there are many possible ways we can bring this to users. We want to imagine a user and use case and develop an interface that meets quickly their specific needs.\r\n\r\n

Big picture:

\r\nHeating is the biggest consumer of energy in Swiss homes and is still 60% coming from fossil fuels. This needs to change very quickly to meet climate targets and end fossil fuel dependence. Knowing the heat demand of a building is the first step towards improving efficiency and changing heating systems.\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vSytugGnVyKyCOXk9mbdpuwJRUbmBHCWO812MhJaZD8dLPCq-b2MCH3iKW3MQvL9g/embed?start=false)\r\n\r\n\ud83e\uddd1\ud83c\udffc\u200d\ud83c\udfeb Dr Stefano Cozza\r\nDr Jonathan Chambers \r\nProf Matthias Sulzer\r\nDr Pierre H\u00f6llm\u00fcller\r\nXiang Li\r\n","maintainer":"","name":"New interface to estimate heat demand in buildings","phase":"Prototype","progress":30,"score":49,"source_url":"","stats":{"commits":0,"during":4,"people":4,"sizepitch":997,"sizetotal":1094,"total":4,"updates":0},"summary":"Development of a novel user interface/user experience for estimating the heat demand in buildings","team":"jonathan, deniz_tepe, samuel_gillieron, schutz","team_count":4,"updated_at":"2022-09-19T15:32","url":"https://new-hack.energy.opendata.ch/project/102","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vTF3A3VHD2p3GEuTTjUOtPiMa2_Xa8lwEanIp8WwLCM5buPI65LdESlGdz-o15ImgfSIqsDHBmjT7v7/embed?start=false&loop=false&slide=id.g155c92ba1e9_24_13"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C043D3U7T5E","created_at":"2022-08-02T14:33","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"Optimizing short-term active power losses forecast\r\n \r\nCurrently we use a group of models to forecast the short-term (day-ahead & intraday) active power losses on the transmission grid, using statistical, machine learning, and deep learning models.\r\n \r\nThe goal of this challenge is to:\r\nOptimizing the forecasting based on the results of these models by designing an optimization algorithm, to minimize the expected forecasting error and the procurement costs\r\nDesigning the visualization for presen...","hashtag":"#05 ","id":103,"ident":null,"image_url":"https://cdn.vox-cdn.com/thumbor/EbPprf7w8IzDV11X1wZVWFQhs50=/0x0:5200x1673/1200x800/filters:focal(2155x415:2987x1247)/cdn.vox-cdn.com/uploads/chorus_image/image/66960759/144070513.jpg.0.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Optimizing short-term active power losses forecast\r\n \r\nCurrently we use a group of models to forecast the short-term (day-ahead & intraday) active power losses on the transmission grid, using statistical, machine learning, and deep learning models.\r\n \r\nThe goal of this challenge is to:\r\nOptimizing the forecasting based on the results of these models by designing an optimization algorithm, to minimize the expected forecasting error and the procurement costs\r\nDesigning the visualization for presenting the final forecasting results and the performance evaluation charts\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vRrUjVC8U7_C67EEdqe-DhdHFZxk_ueCAQ_5OrEkOuELCBvhdKwdTzPYMVxfl1lhw/embed?start=false)\r\n\r\n \ud83e\uddd1\ud83c\udffb\u200d\ud83c\udfeb Swissgrid AG Liu Xiying","maintainer":"","name":"Optimizing short-term active power losses forecast","phase":"Prototype","progress":30,"score":49,"source_url":"","stats":{"commits":0,"during":1,"people":1,"sizepitch":760,"sizetotal":862,"total":1,"updates":0},"summary":"Optimizing the forecasting based on the results of these models by designing an optimization algorithm","team":"flavio","team_count":1,"updated_at":"2022-09-19T15:32","url":"https://new-hack.energy.opendata.ch/project/103","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vTF3A3VHD2p3GEuTTjUOtPiMa2_Xa8lwEanIp8WwLCM5buPI65LdESlGdz-o15ImgfSIqsDHBmjT7v7/embed?start=false&loop=false&slide=id.p17"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C043218PTUH","created_at":"2022-07-19T09:03","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"The topic of energy has arrived at the center of society, and we are beginning to understand that we can change our behavior in a positive way. \r\nData is of value to people because it enables them to develop a better understanding of themselves and the world around them. Data from fitness trackers, for example, help to benchmark one's own body/fitness and to derive motivation for behavioral changes from it.\r\nIn order to be able to act and being incentivised, one needs a benchmark (score).\r\nFor f...","hashtag":"#04 ","id":105,"ident":null,"image_url":"https://images.unsplash.com/photo-1601467450590-8c3d11cde2fd?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1470&q=80","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"The topic of energy has arrived at the center of society, and we are beginning to understand that we can change our behavior in a positive way. \r\nData is of value to people because it enables them to develop a better understanding of themselves and the world around them. Data from fitness trackers, for example, help to benchmark one's own body/fitness and to derive motivation for behavioral changes from it.\r\nIn order to be able to act and being incentivised, one needs a benchmark (score).\r\nFor future flexible tarif models, an underlying metric is needed.\r\nIn a decentralized, renewable energy system the customer plays an increasingly active role\r\nFor exemple by using energy when renewable energy is abundantly available and by reducing one\u2019s consumption when there is a scarcity\r\nTo show customers their potential for improvement, we would like to introduce a simple score based on individual consumption patterns. This score ensures transparency and creates the basis for effective incentive measures.\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vR5RwWvVJNNjkyjwfAtRgiadm_WJLKLfG5V0lhYfoQlwfwDwDf0LieJtJ5Xnv8CWQ/embed?start=false)","maintainer":"","name":"eco-friendliness score","phase":"Prototype","progress":30,"score":44,"source_url":"","stats":{"commits":0,"during":1,"people":1,"sizepitch":1165,"sizetotal":1165,"total":1,"updates":0},"summary":"","team":"wolfram","team_count":1,"updated_at":"2022-09-19T15:33","url":"https://new-hack.energy.opendata.ch/project/105","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vTF3A3VHD2p3GEuTTjUOtPiMa2_Xa8lwEanIp8WwLCM5buPI65LdESlGdz-o15ImgfSIqsDHBmjT7v7/embed?start=false&loop=false&slide=id.p16"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C042LGNLNSZ","created_at":"2022-07-19T09:11","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"Presentation\r\n\r\nBased on real-time [data from aliunid](https://aliunid.com/strommix/), develop a simple algorithm/logic to estimate the current solar radiation (Wh/m2) from PV production data (kW).\r\nBased on the obtained radiation data and the public PV data (installed power according to https://map.geo.admin.ch/ and roof area information from https://www.uvek-gis.admin.ch/BFE/sonnendach/ ) simulate ...","hashtag":"#12 ","id":104,"ident":"","image_url":"https://images.unsplash.com/photo-1594818379496-da1e345b0ded?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1632&q=80","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Presentation\r\n\r\nBased on real-time [data from aliunid](https://aliunid.com/strommix/), develop a simple algorithm/logic to estimate the current solar radiation (Wh/m2) from PV production data (kW).\r\nBased on the obtained radiation data and the public PV data (installed power according to https://map.geo.admin.ch/ and roof area information from https://www.uvek-gis.admin.ch/BFE/sonnendach/ ) simulate the PV production in real time.\r\n\r\n

Aim

The aim is to map the total photovoltaic (PV) power produced in Switzerland in real-time without measuring each PV power plant individually. To achieve this, we want to simulate the PV power of all registered PV plants with PV plants for which aliunid has real-time data available.\r\n\r\n

Idea

It is safe to assume that two neighboring PV systems follow a very similar production curve. By measuring only one of them we could simulate the PV production of both. By extending this approach to the whole of Switzerland, the challenge is to simulate the PV output of all registered PV plants with data where aliunid already measures the real-time power output. The challenge consists of the following parts: 1. Generate location-specific irradiance data based on measured PV output all over Switzerland. 2. Apply the generated irradiance dataset to PV systems that are currently not measured based on basic information and open data (e.g., installed capacity, slope, orientation). 3. Present the results (e.g., the total amount of PV power currently produced in Switzerland) on a map, dashboard, or similar.\r\n\r\n

Big picture

Decentral Photovoltaic (PV) systems can be found all over Switzerland and their impact on the Swiss energy system is becoming increasingly relevant. Real-time information about each PV system helps to maximize its use and mitigate potential negative impacts. We will provide high-resolution data of the power output of PV systems all over Switzerland as well as historic weather data. Additionally, open data from geo.admin.ch and sonnendach.ch can be used","maintainer":"","name":"Mapping of Swiss PV power production in real time","phase":"Prototype","progress":30,"score":42,"source_url":"","stats":{"commits":0,"during":2,"people":2,"sizepitch":2138,"sizetotal":2138,"total":3,"updates":1},"summary":"","team":"ivanolexyn, mathis_dedial","team_count":2,"updated_at":"2024-09-12T10:43","url":"https://new-hack.energy.opendata.ch/project/104","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/1/V5C9JFWVGRYLX52IRCN4YWOS/12_Energy_Data_Hackdays_2022__aliunid_Pitch.pdf"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C042P7Y4S9Z","created_at":"2022-08-02T14:29","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"## Challenge\r\n\r\nNowadays there is a lot of noise around electric mobility. As car manufacturers and the world turn towards this technology with the goal of lowering greenhouse gas emissions and as this technology gains momentum, a lot of discussions arise, bringing conflicting arguments, myths, assumptions and open questions to the surface. This we have in abundance\u2026 What we lack is real data and facts based on this data to support all these theoretical discussions.\r\n\r\n[Presentation slides](http...","hashtag":"#01 ","id":106,"ident":null,"image_url":"https://www.innovationnewsnetwork.com/wp-content/uploads/2019/12/GOV-31-HASTOBE1-25601-IMAGE.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"## Challenge\r\n\r\nNowadays there is a lot of noise around electric mobility. As car manufacturers and the world turn towards this technology with the goal of lowering greenhouse gas emissions and as this technology gains momentum, a lot of discussions arise, bringing conflicting arguments, myths, assumptions and open questions to the surface. This we have in abundance\u2026 What we lack is real data and facts based on this data to support all these theoretical discussions.\r\n\r\n[Presentation slides](https://docs.google.com/presentation/d/e/2PACX-1vRL3p82s2EY3KHkU_sW_N9cPd93H_hmtB2VnklIAmssK7x8j8OE7zsHK0NUaDD6PA/embed?start=false&loop=false&delayms=3000)\r\n\r\nThis is where it becomes interesting! We have the real data and we are looking for data enthusiasts, who can crunch the data and generate some very interesting facts. How do we charge? How much energy do we actually need in order to cover our monthly mobility needs? Do people wait for low tariff or do they charge during the day? How does the typical charging profile look like? How about charging at work or at other points of interest (supermarkets etc.)? These and many more questions are waiting for your analytics skills and talent to be answered!\r\n\r\nData:\r\nOver two years of charging profiles (power consumption) timeseries in 15-minute resolution of more than 200 charging stations from the backend system of our e-mobility market product.\r\n\r\nAim:\r\nAnalyze the data set in order to visualize the behavior of e-mobility drivers, bust some myths and support arguments with facts.\r\n\r\nIdea:\r\nHere some interesting questions:\r\nHow do we charge?\r\nHow many people wait for low tariff?\r\nHow many people charge their cars right away when returning home?\r\nHow does the car\u2019s charging logic work? How many cars are waiting for early morning to be fully charged (when drive-off time is preset by the driver)?\r\nDo people charge every day or only when the batteries are empty?\r\nDo people charge always on the same day? On which day of the week do people mostly charge?\r\nTypical charging profiles\r\nHow does a typical charging profile look like?\r\nWhich patterns are the most important ones?\r\nPlace of charging\r\nHow different is the charging behavior at work or at other places of interest?\r\nThese and other questions need to be answered.\r\n\r\nBig Picture:\r\nAs the discussion around e-mobility grows, facts are needed to support assumptions, deepen our knowledge and help with the transition to an all-electric mobility world. Understanding the behavior of charging will help us not only better understand e-mobility as a whole, but could also open new horizons for products and services.\r\n\r\n\ud83e\uddd1\ud83c\udffc\u200d\ud83c\udfeb EKZ Angelos Selviaridis","maintainer":"","name":"E-Mobility Analytics","phase":"Training","progress":20,"score":40,"source_url":"","stats":{"commits":0,"during":3,"people":3,"sizepitch":2665,"sizetotal":2776,"total":3,"updates":0},"summary":"As the discussion around e-mobility grows help with the transition to an all-electric mobility world is needed.","team":"nicola_ruch, andre_eggli, AbdullahShakil","team_count":3,"updated_at":"2022-09-19T15:32","url":"https://new-hack.energy.opendata.ch/project/106","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vTF3A3VHD2p3GEuTTjUOtPiMa2_Xa8lwEanIp8WwLCM5buPI65LdESlGdz-o15ImgfSIqsDHBmjT7v7/embed?start=false&loop=false&slide=id.p13"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2022-09-17T13:42","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"We walked around the town of [Brugg](https://de.wikipedia.org/wiki/Brugg) with a [Software-Defined](https://en.wikipedia.org/wiki/Software-defined_radio) radio receiver and antenna, running open source software on a laptop to capture electromagnetic field emissions - observing the interplay of radio frequencies invisible to the eye or ear. We then produced a short music video with the result. Call it data art, if you like - we had fun making this together!\r\n\r\n![](https://videoapi-muybridge.vimeo...","hashtag":"#11","id":107,"ident":null,"image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/163/WC5YH0BUI8826ILXHLCFPKS5/Screenshot from 2022-09-25 15-31-32.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"We walked around the town of [Brugg](https://de.wikipedia.org/wiki/Brugg) with a [Software-Defined](https://en.wikipedia.org/wiki/Software-defined_radio) radio receiver and antenna, running open source software on a laptop to capture electromagnetic field emissions - observing the interplay of radio frequencies invisible to the eye or ear. We then produced a short music video with the result. Call it data art, if you like - we had fun making this together!\r\n\r\n![](https://videoapi-muybridge.vimeocdn.com/animated-thumbnails/image/8a1e1455-d9b2-42c6-a435-887dcf503ab7.gif?ClientID=vimeo-core-prod&Date=1663441540&Signature=3e2a9ee1b4bfa4afdb1ab438f618f9bdb5c42f36)\r\n\r\n## \ud83c\udfb6 Credits \ud83c\udfb6\r\n\r\n- Music by **[Static In Verona](https://staticinverona.com/)** - Etcetera Ra Ra (\u00a9 2021 Gin Rubby Music)\r\n- Penguin illustration by **[George Shaw](https://www.flickr.com/photos/vintage_illustration/29086672487)** (CC BY 4.0)\r\n- Maps and open data from **[swisstopo](https://www.geo.admin.ch/en/about-swiss-geoportal/impressum.html#copyright)** and **[SFOE](https://www.bfe.admin.ch/bfe/en/home.html)**\r\n- Data visualization made with [Gqrx](https://gqrx.dk/) running on [Fedora Linux](https://getfedora.org/)\r\n- Radio signals measured with an **[RTL-SDR V3](https://www.rtl-sdr.com/video-on-receiving-hf-signals-with-the-rtl-sdr-blog-v3/)** receiver\r\n- Video recorded with **[Open Broadcaster Software](https://obsproject.com/)** and produced with **[Pitivi](https://www.pitivi.org/)**\r\n\r\n## \ud83d\udce1 Why? \ud83d\udce1 \r\n\r\nThe town hosting our event has a [turbulent industrial past](https://de.wikipedia.org/wiki/Industrialisierung_der_Stadt_Brugg#Ausgangslage) and many energy-related infrastructure and historic sites, most of it well hidden behind the fa\u00e7ades of residence and commerce. Noticing sensors, transformers, mobile phone antennas, and other sources of radio interference, we were also much more aware of the technology that surrounds us even within a short radius. Our aim is to passively observe the variety and mystery of the patterns that we encounter during our walk. With a bit of practice, we find interesting frequencies, and learn to localize sources of interference. We may start to \"see\" the city through a new lens, even though in our case it is just a 1-dimensional waterfall-like visualization called a [Spectrogram](https://en.wikipedia.org/wiki/Spectrogram).\r\n\r\n## What's next \ud83e\uddd1\ud83c\udffc\u200d\ud83c\udfeb \r\n\r\nWe planned our walk using swisstopo open data shown on the [GeoAdmin map](https://s.geo.admin.ch/9a773df8bc) shown below. Based on these locations of interesting sites, we are creating an [Actionbound](https://en.actionbound.com/) quest to visit the most interesting industrial sites around Brugg. We can recommend frequencies to tune into, such the ones typically emitted by public works. In the future we could offer these \"high tech\" tours of the smart city to school classes or tourists.\r\n\r\n\r\n\r\n##\ud83d\udeb6Who?\ud83d\udeb6 \r\n\r\n- Markus ([make.human.technology](https://makehumantechnology.org/))\r\n- Gaston ([glam.opendata.ch](https://glam.opendata.ch))\r\n- Oleg ([dat.alets.ch](https://datalets.ch))\r\n\r\n## \ud83d\ude47 Inspired by \u26a1 \r\n\r\nhttps://hack.opendata.ch/project/844","maintainer":"","name":"EMF Walks in Brugg","phase":"Research","progress":10,"score":28,"source_url":"","stats":{"commits":0,"during":4,"people":1,"sizepitch":3630,"sizetotal":3670,"total":4,"updates":2},"summary":"An energetic tour to rediscover the town","team":"","team_count":1,"updated_at":"2022-09-25T13:32","url":"https://new-hack.energy.opendata.ch/project/107","webpage_url":"https://player.vimeo.com/video/750696951?h=804828783f&title=0&byline=0&portrait=0&speed=0&badge=0&autopause=0&player_id=0&app_id=58479"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C043237NXQ9","created_at":"2022-08-02T14:36","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"The goal of this challenge is to model wake interactions within a large windfarm based on a Graph Neural Network.\r\nWith the Graph Neural Network the turbines that have the largest impact on the Annual Energy Production of the whole wind farm due to wake interactions should be identified.\r\nThis will allow wind farm operators to make specific changes to certain turbines in order to optimize the power production.\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vSIAfrz6o8H_M-hg...","hashtag":"#09 ","id":108,"ident":null,"image_url":"https://static.euronews.com/articles/stories/06/53/50/60/1440x810_cmsv2_1ec68b2e-0ecf-5125-a75f-761ba8297023-6535060.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"The goal of this challenge is to model wake interactions within a large windfarm based on a Graph Neural Network.\r\nWith the Graph Neural Network the turbines that have the largest impact on the Annual Energy Production of the whole wind farm due to wake interactions should be identified.\r\nThis will allow wind farm operators to make specific changes to certain turbines in order to optimize the power production.\r\n\r\n[Challenge slides](https://docs.google.com/presentation/d/e/2PACX-1vSIAfrz6o8H_M-hg_ita3yO7KMfoQC0FBSMkezUauxyoBfFSidFaJWsdpUhaxqqYw/embed?start=false)\r\n\r\n\ud83e\uddd1\ud83c\udffc\u200d\ud83c\udfeb OST Sarah Barber, Francesca Paoletti","maintainer":"","name":"Graph Neural Network of a Wind Farm","phase":"Project","progress":5,"score":23,"source_url":"","stats":{"commits":0,"during":2,"people":1,"sizepitch":613,"sizetotal":697,"total":2,"updates":1},"summary":"Modelling Wake Interactions within a large windfarm based on a Graph Neural Network.","team":"florian_hammer","team_count":1,"updated_at":"2022-09-19T15:32","url":"https://new-hack.energy.opendata.ch/project/108","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vTF3A3VHD2p3GEuTTjUOtPiMa2_Xa8lwEanIp8WwLCM5buPI65LdESlGdz-o15ImgfSIqsDHBmjT7v7/embed?start=false&loop=false&slide=id.p20"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydata.slack.com/archives/C0428U35NUX","created_at":"2022-08-02T14:41","download_url":"","event_name":"Energy Data Hackdays 2022","event_url":"https://new-hack.energy.opendata.ch/event/7","excerpt":"Aim\r\n\r\nThis challenge uses an open-source digital twin developed at Empa (https://github.com/Khayatian/nestli) with real-life systems and data. The participants are expected to build on top of the research results, develop ways to incorporate social/occupants' behavior and build the foundation to design a game that would raise public awareness.\r\n\r\nIdea\r\n\r\n1) data-driven modeling of occupant behavior: In this challenge, we value the modeling of stochastic human behaviors. Given the digitalization...","hashtag":"#11","id":112,"ident":null,"image_url":"http://www.energylegislation.co.uk/wp-content/uploads/2019/10/ElseLaw-EPC.jpg","is_challenge":true,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Aim\r\n\r\nThis challenge uses an open-source digital twin developed at Empa (https://github.com/Khayatian/nestli) with real-life systems and data. The participants are expected to build on top of the research results, develop ways to incorporate social/occupants' behavior and build the foundation to design a game that would raise public awareness.\r\n\r\nIdea\r\n\r\n1) data-driven modeling of occupant behavior: In this challenge, we value the modeling of stochastic human behaviors. Given the digitalization of the energy systems, occupants' behavior is taking a more central role in designing automation and control systems. However, occupants are considered (and modeled) passive recipients of the control system to date. To obtain a more realistic assessment of occupants' interaction with building automation and control, this task shall model occupants as active agents that react and occasionally override control decisions, forcing their preferences into the building operation, which the controller has to deal with as disturbance.\r\n \r\n2) if time permits, design a game framework based on the digital twin and the developed human twin: Energy end-users are currently taking a passive role in the energy transition. However, they have a much higher impact by changing their behaviors. For example, lowering thermal comfort voluntarily during extremely cold weather would help the energy system to avoid using fossil fuel-based energy production. This awareness may be raised by playing games where people interact and observe their impacts. Our open-source digital twin supports an open-source game for such a purpose. Code is appreciated, but conceptual level development is also sufficient.\r\n \r\nBig picture\r\n\r\nBuilding energy demand accounts for a large share of global energy consumption and carbon emission. Advanced building energy management systems can help to reduce energy consumption and carbon footprint. Although the technical design has been much investigated, the impacts of occupant behaviors are rarely considered. In addition, occupants\u2019 behavior can be influenced by great awareness of their impacts and contribution to the energy transition.\r\n\r\nSee also: https://github.com/khayatian/nestli\r\n\r\nKeywords: game design, machine learning, social behavior\r\n\r\n\ud83e\uddd1\ud83c\udffb\u200d\ud83c\udfeb EMPA Philipp Heer, Cai Hanmin, Khayatian Fazel\r\nAppreciated skills/background: python/game design/data analytics/social science\r\n\r\n","maintainer":"","name":"Gamification of building energy performance with human digital twins","phase":"Challenge","progress":0,"score":0,"source_url":"","stats":{"commits":0,"during":2,"people":0,"sizepitch":2405,"sizetotal":2512,"total":2,"updates":2},"summary":"Playing games where people interact and observe their impacts for data-driven modeling of occupant behavior","team":"","team_count":0,"updated_at":"2022-09-19T15:31","url":"https://new-hack.energy.opendata.ch/project/112","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vSHdxvvPVwUKo8ehuaoN2CkVPNvRLls_OF1sZz3dVU0XurOmtP3FI7bKSf6KWA0vA/embed?start=false"}],"name":"projects"}],"sources":[{"path":"https://new-hack.energy.opendata.ch/","title":"dribdat"}],"title":"Energy Data Hackdays 2022","version":"0.9.3"}