{"contributors":[],"created":"2024-03-29T08:35","description":"To make open energy data, we are going up to the sources of sustainable energy. Developers and designers, data scientists and app producers, experts and amateurs, entrepreneurs and intrapreneurs, concerned citizens and data journalists - we will collaborate as individuals to address urgent energy problems and create critical insights.","homepage":"https://make.opendata.ch/wiki/event:2016-04","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-1","resources":[{"data":[{"aftersubmit":"","boilerplate":"","certificate_path":"","community_embed":"
\r\n\r\n Slack\r\n| Twitter\r\n| Facebook\r\n
\r\n\r\nThe contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.
","community_url":"","custom_css":"body .navbar {\r\n background-image: url(http://soda.camp/workshops/2016/energy_013/windfarm.jpg);\r\n background-size: cover;\r\n}","description":"To make open energy data, we are going up to the sources of sustainable energy. Developers and designers, data scientists and app producers, experts and amateurs, entrepreneurs and intrapreneurs, concerned citizens and data journalists - we will collaborate as individuals to address urgent energy problems and create critical insights.","ends_at":"2016-04-09T15:30","gallery_url":"","has_finished":true,"has_started":false,"hashtags":"","hostname":"Opendata.ch","id":1,"instruction":"","location":"Innertkirchen and Mont-Crosin","location_lat":0.0,"location_lon":0.0,"logo_url":"https://energy.opendata.ch/files/2014/01/oed.png","name":"Open Energy Data Hackdays","starts_at":"2016-04-08T09:00","summary":"","webpage_url":"https://make.opendata.ch/wiki/event:2016-04"}],"name":"events"},{"data":[{"autotext":null,"autotext_url":"http://make.opendata.ch/wiki/project:swiss_energy_balance","category_id":4,"category_name":"Energy of Distribution","contact_url":"","created_at":"2016-04-08T20:48","download_url":"","event_name":"Open Energy Data Hackdays","event_url":"https://hack.opendata.ch/event/1","excerpt":"\r\nThe goal of this project is to evaluate the cost of energy transactions between Cantons comparing their energy consumption and production. We want to simulate the economical impact related to the geographical distribution of production vs consumption.\r\n
\r\n\r\n\r\nWe already found a database containing production/consumption values per Cantons and we are in the process of creating the visualisation \r\n
\r\n\r\n\r\nUnfortunately,we only found aggregated production data and we would like to d...","hashtag":"","id":3,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"
\r\nThe goal of this project is to evaluate the cost of energy transactions between Cantons comparing their energy consumption and production. We want to simulate the economical impact related to the geographical distribution of production vs consumption.\r\n
\r\n\r\n\r\nWe already found a database containing production/consumption values per Cantons and we are in the process of creating the visualisation \r\n
\r\n\r\n\r\nUnfortunately,we only found aggregated production data and we would like to differentiate the sources of production, so if anyone has any ideas/data please let us know!\r\n
\r\n\r\n\r\nWe are also looking for ideas on how to model the price of infrastructure related to geographies of production and consumption. Our first idea would be to set a coefficient dependant on the geographical distance between the centres of each canton.\r\n
\r\n","maintainer":"oleg","name":"Swiss Energy Balance","phase":"Prototype","progress":30,"score":65,"source_url":"https://github.com/bdauria/swiss_energy_balance","stats":{"commits":0,"during":1,"people":0,"sizepitch":859,"sizetotal":859,"total":2,"updates":1},"summary":"","team":"oleg","team_count":0,"updated_at":"2019-02-25T21:23","url":"https://hack.opendata.ch/project/3","webpage_url":"http://make.opendata.ch/wiki/project:swiss_energy_balance"},{"autotext":"# L\u00f3fos\r\n\r\nElectric mobility makes it easy and fun to get from point A to point B, but our range is limited by battery capacities. Personal mobility devices use lightweight batteries and need regular charging. Users of such devices have to rely on the availability of power outlets along the way to further destinations.\r\n\r\nAt the [Swiss Open Energy Data Hackdays](http://make.opendata.ch/energy) in April 2016 we sketched an app, prototyped a basic idea, and proposed some open/crowdsourced datasets that could allow users of personal mobility new levels of freedom of movement.\r\n\r\nThe prototype is made using [Ionic Framework](http://ionicframework.com/docs/), [Rapha\u00ebl](https://en.wikipedia.org/wiki/Rapha%C3%ABl_(JavaScript_library)) and [Google Maps Elevation API](https://developers.google.com/maps/documentation/elevation/intro).\r\n\r\nDemo: http://soda.camp/workshops/2016/lofos\r\n\r\n## Next data sources\r\n\r\nOur next steps are plug in open data sources and/or create a crowdsourced databases to collect the following information:\r\n\r\n**Elevation data**\r\n\r\nCurrently we use Google Maps API to obtain accurate elevation profiles of streets. We would welcome suggestions of other sources of such information. Users of apps like [Ride With GPS](https://ridewithgps.com/) help to create accurate GPS profiles, but this data is not shared with third parties.\r\n\r\n**Electric Vehicle battery data**\r\n\r\nWhile there are plenty of individual community projects (e.g. [Segway Battery FAQ](http://www.spinfoot.com/SegwayBatteryFAQ.html)), there does not seem to be any wider effort underway to collect specifications about the power characteristics of personal mobility. Information such as the different ranges, top speeds, drive system (motor) power (wattage), maximum inclines, could be compiled and cross-referenced.\r\n\r\n[Public concerns](http://bridgeport.dailyvoice.com/news/hoverboard-fires-spark-concerns-about-electric-skateboards/610235/) about \"electronic mobility aids\" catching fire in transport that have led to bans on most [flight carriers](https://www.aircanada.com/en/news/151208.html) could also be potentially mitigated or better discussed publicly with access to comprehensive and accurate information about their engineering.\r\n\r\n**Public electric sockets**\r\n\r\n[PlugShare](http://www.plugshare.com/) (\"the world's largest electric vehicle (EV) charging network with a database of 50,000+ charging stations\" -[FAQ](http://faq.plugshare.com/article/7-why-should-i-use-plugshare)) connects EV users with charging locations. According to [data.gov](https://www.data.gov/energy/blog/who-uses-open-data), much of the data is sourced in the USA from the Energy Department's Application Programming Interface (API) for the [Alternative Fuels Data Center](http://www.afdc.energy.gov/locator/stations/). \r\n\r\nIn Europe, the non-profit association [LEMnet.org](http://www.lemnet.org/) collects and distributes this kind of data. We only discovered them after the hackathon and will look into using it next.\r\n\r\n**Traffic**\r\n\r\nConstruction sites and other obstacles to personal mobility, status of traffic lights, special lanes for electric vehicles - there is a world of data possibilities in this area. The Opendata.ch [Transport Working Group](http://transport.opendata.ch) in Switzerland and similar efforts worldwide are opening data sources to enrich applications like this one. For example, see [Geneve Velo](http://make.opendata.ch/wiki/project:geneve-velo), another hackathon project.\r\n\r\n### Next interfaces\r\n\r\nWe are fascinated by data visualisation in Virtual/Augmented/3D/Printed/QR/NFC and other \"tangible\" contexts, and are keen to explore interfaces for our application that allow viewing such information on the go. Here are some inspiring commercial and research projects which make this connection of personal mobility and new data sources and new data interfaces: [Daqri](http://hardware.daqri.com/), [RideOnVision](https://www.rideonvision.com/), [Catapult](http://www.dailydot.com/technology/augmented-reality-bike-helmet-future-cities-catapult/) (dailydot), [In-place Augmented Reality](https://www.researchgate.net/publication/221221338_In-Place_Augmented_Reality) (researchgate.net)\r\n\r\n## Team\r\n\r\n- [Oleg](http://loleg.github.io)\r\n- [Didier](http://www.eco-villages.ch/forum/hackathon-2016)\r\n\r\n### Trivia\r\n\r\n**Sidenote:** the name of the project comes from the Greek \u03bb\u03cc\u03c6\u03bf\u03c2, meaning 'hills'. We are inspired by [Odysseus](http://polasekj.sweb.cz/photo.htm) and his hilly birthplace [Ithaka](https://en.wikipedia.org/wiki/Ithaca).\r\n\r\n[![Port Bathy and Capital of Ithaca](https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Port_Bathy_and_Capital_of_Ithaca.jpg/1200px-Port_Bathy_and_Capital_of_Ithaca.jpg)](Port Bathy and Capital of Ithaca) by Edward Dodwell, Public Domain.\r\n","autotext_url":"https://github.com/loleg/lofos","category_id":3,"category_name":"Energy of Transport","contact_url":"https://github.com/loleg/lofos/issues","created_at":"2016-04-08T22:19","download_url":"","event_name":"Open Energy Data Hackdays","event_url":"https://hack.opendata.ch/event/1","excerpt":"Electric mobility makes it easy and fun to get from point A to point B, but our range is limited by battery capacities. Personal mobility devices use lightweight batteries and need regular charging. Users of such devices have to rely on the availability of power outlets along the way to further destinations.\r\n\r\nAt the [Swiss Open Energy Data Hackdays](http://make.opendata.ch/energy) in April 2016 we sketched an app, prototyped a basic idea, and proposed some open/crowdsourced datasets that could...","hashtag":"","id":8,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"Electric mobility makes it easy and fun to get from point A to point B, but our range is limited by battery capacities. Personal mobility devices use lightweight batteries and need regular charging. Users of such devices have to rely on the availability of power outlets along the way to further destinations.\r\n\r\nAt the [Swiss Open Energy Data Hackdays](http://make.opendata.ch/energy) in April 2016 we sketched an app, prototyped a basic idea, and proposed some open/crowdsourced datasets that could allow users of personal mobility new levels of freedom of movement.","maintainer":"loleg","name":"lofos","phase":"Sketching","progress":20,"score":53,"source_url":"https://github.com/loleg/lofos","stats":{"commits":0,"during":3,"people":1,"sizepitch":568,"sizetotal":5378,"total":11,"updates":9},"summary":"#makeopendata","team":"loleg","team_count":1,"updated_at":"2023-08-05T12:47","url":"https://hack.opendata.ch/project/8","webpage_url":"http://make.opendata.ch/wiki/project:lofos"},{"autotext":null,"autotext_url":"http://make.opendata.ch/wiki/project:periodic_aggregation_of_power_system_data","category_id":2,"category_name":"Energy of Production","contact_url":"","created_at":"2016-04-08T17:33","download_url":"","event_name":"Open Energy Data Hackdays","event_url":"https://hack.opendata.ch/event/1","excerpt":"\r\nThis project is about using the web scraping platform morph.io to periodically download, clean up and aggregate data about the European electricity system. At the moment, we focus on time series data about renewables in-feed and electricity demand.\r\n
\r\n\r\n\r\nScripts to download and process data about the electricity system are already available from a platform called Open Power System Data (\r\nThis project is about using the web scraping platform morph.io to periodically download, clean up and aggregate data about the European electricity system. At the moment, we focus on time series data about renewables in-feed and electricity demand.\r\n
\r\n\r\n\r\nScripts to download and process data about the electricity system are already available from a platform called Open Power System Data (http://open-power-system-data.org/). The project http://open-power-system-data.org/ aggregates and processes data about the European electricity system and publishes these as clean CSV files. The platform is still in beta and about to launch publically in autumn 2016. It has published its data processing scripts already on Github (https://github.com/Open-Power-System-Data), which is what we are using as a base for the morph.io scraper we are developing in this make.opendata.ch project.\r\n
\r\n\r\n\r\nThe scraper (work in progress):\r\nhttps://morph.io/metaodi/open-power-system-timeseries\r\n
\r\n\r\n\r\n\r\n\r\nWe are working on a toolkit / demo application where we try to visualize data coming from an OpenHAB setup. This setup sends some key values like electricity consumption and production. We are taking this information and putting it into an ElasticSearch cluster using MQTT, Xively and Logstash, and enrich the data with PLUS Energy building database from energy-cluster.ch and \r\nWe are working on a toolkit / demo application where we try to visualize data coming from an OpenHAB setup. This setup sends some key values like electricity consumption and production. We are taking this information and putting it into an ElasticSearch cluster using MQTT, Xively and Logstash, and enrich the data with PLUS Energy building database from energy-cluster.ch and eco-villages.ch\r\n
\r\n\r\n\r\nThe key thing we're trying to do is calculate PLUS Energy factor of the home - basically a number which says if it is energy-neutral/-friendly/-negative. We try to correlate this data, get a simple number, and create a dashboard visualizing these numbers.\r\n
\r\n\r\n\r\nWe need more data! If you have data from your house, please send it - format specification: 16_Database-1000_peg_Template.xls\r\n
\r\n\r\n\r\n\r\n\r\nWe are on an insane mission to find the real owners of the 10 biggest water power plants in Switzerland. \r\n
\r\n\r\n\r\nThe ultimate goal of this project is a visualization that brings real ownership transparency to a complex and often intransparent economic sector. \r\n
\r\n\r\n\r\nIn the end, we'd like to show which cantons and municipalities own what parts of power companies - and how they would be affected by a bankruptcy of the latter. \r\n
\r\n\r\n\r\nThe ultimate goal of this project is a visualization that brings real ownership transparency to a complex and often intransparent economic sector. \r\n
\r\n\r\n\r\nIn the end, we'd like to show which cantons and municipalities own what parts of power companies - and how they would be affected by a bankruptcy of the latter. \r\n
\r\n\r\n\r\n\r\n\r\nAn awesome map by @davidoesch showing municipal and regional dependency on power suppliers. \r\n
\r\n\r\n\r\n","maintainer":"oleg","name":"Klumpenrisiko","phase":"","progress":null,"score":null,"source_url":"","stats":{"commits":0,"during":1,"people":0,"sizepitch":2712,"sizetotal":2712,"total":1,"updates":0},"summary":"","team":"oleg","team_count":0,"updated_at":"2016-04-08T21:10","url":"https://hack.opendata.ch/project/5","webpage_url":"http://make.opendata.ch/wiki/project:klumpenrisiko"},{"autotext":null,"autotext_url":"http://make.opendata.ch/wiki/project:atum","category_id":2,"category_name":"Energy of Production","contact_url":"","created_at":"2016-04-08T21:13","download_url":"","event_name":"Open Energy Data Hackdays","event_url":"https://hack.opendata.ch/event/1","excerpt":"\r\nAtum is a web application for energy production forcasts for photovoltaics (pv). User can register their own pv sites and specify its location among other parameters. Atum then calculates and displays the expected energy production for the upcomming days. \r\n
\r\n\r\n\r\nAtum is a web application for energy production forcasts for photovoltaics (pv). User can register their own pv sites and specify its location among other parameters. Atum then calculates and displays the expected energy production for the upcomming days. \r\n
\r\n\r\n\r\nHow is hot for putting a next solar power system of his roof? \r\n
\r\n\r\n\r\nAs a service provider I want to \r\n
\r\n\r\n\r\nPotential customers: \r\n-Energy service provider\r\n-Utilities\r\n-Public institutions such as Cantons and Municipalities\r\n-Planning and engineering companies / product developers\r\n
\r\n\r\n\r\nService:\r\n-Generation of individual persona (customers of our customer) profiles based on social economic and social demographic data\r\n
\r\n\r\n\r\nAs a service provider I want to \r\n
\r\n\r\n\r\nPotential customers: \r\n-Energy service provider\r\n-Utilities\r\n-Public institutions such as Cantons and Municipalities\r\n-Planning and engineering companies / product developers\r\n
\r\n\r\n\r\nService:\r\n-Generation of individual persona (customers of our customer) profiles based on social economic and social demographic data\r\n
\r\n\r\n